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Spatiotemporal characteristics of physical responses of lakes to external and environmental changes are still largely unknown due to the consistent lack of monitoring of water level and corresponding changes in water storage in lakes. Understanding these changes is a fundamental step in advancing regional management of natural and anthropogenic systems that depend on the water resources of lakes. As an illustrative example, we here report a case study involving lakes of the headwater topical Andes mountain range, which, despite guaranteeing water security to millions of downstream inhabitants, still remain significantly ungauged. We present a novel evaluation of the potential of Differential Interferometric Synthetic Aperture Radar DInSAR techniques for the spatiotemporal analysis of patterns of water level change in lakes such as the ones comprising these ungauged high-altitude lake systems. Time series of Sentinel-1B data for the years 2017 and 2018 were used to generate continuous interferograms representing water level changes in twenty-four lakes of the Cajas National Park, Ecuador. The relation of these water level changes with climatic and topographical factors were analyzed to validate the methodology, and determine any patterns of change and response to climatic drivers. We found relatively high Pearson correlation coefficients between regional precipitation and water level change as estimated from the interferograms. Furthermore, we found an important negative relationship between water level change, as obtained from the DInSAR phase, and lake surface area. The study revealed a spatial trend of this correlation in terms of the altitude of the lakes at the basin scale; that is, lower correlation values were found in the headers of the basins, whilst higher correlation values were found at lower basin altitudes. The results of the present study demonstrate the potential of DInSAR techniques based on Sentinel-1 data for the monitoring of hydrologic changes in open water surfaces, and the possible validation of the DInSAR results with precipitation when gauged water level data is missing. These results are a basis to propose monitoring strategies in ungauged high-altitude lake systems in regions with similar data gauging constraints. Future work will encompass the integration of ongoing water level gauging for further validation of the herein depicted lake water level estimation approach.
Sebastián Palomino-Ángel; Raúl F. Vázquez; Henrietta Hampel; Jesús A. Anaya-Acevedo; Pablo V. Mosquera; Fernando Jaramillo. Spatiotemporal change of water level in ungauged high-altitude tropical lakes: a DInSAR approach. 2021, 1 .
AMA StyleSebastián Palomino-Ángel, Raúl F. Vázquez, Henrietta Hampel, Jesús A. Anaya-Acevedo, Pablo V. Mosquera, Fernando Jaramillo. Spatiotemporal change of water level in ungauged high-altitude tropical lakes: a DInSAR approach. . 2021; ():1.
Chicago/Turabian StyleSebastián Palomino-Ángel; Raúl F. Vázquez; Henrietta Hampel; Jesús A. Anaya-Acevedo; Pablo V. Mosquera; Fernando Jaramillo. 2021. "Spatiotemporal change of water level in ungauged high-altitude tropical lakes: a DInSAR approach." , no. : 1.
This paper proposes a validation-comparison method for burned area (BA) products. The technique considers: (1) bootstrapping of scenes for validation-comparison and (2) permutation tests for validation. The research focuses on the tropical regions of Northern Hemisphere South America and Northern Hemisphere Africa and studies the accuracy of the BA products: MCD45, MCD64C5.1, MCD64C6, Fire CCI C4.1, and Fire CCI C5.0. The first and second parts consider methods based on random matrix theory for zone differentiation and multiple ancillary variables such as BA, the number of burned fragments, ecosystem type, land cover, and burned biomass. The first method studies the zone effect using bootstrapping of Riemannian, full Procrustes, and partial Procrustes distances. The second method explores the validation by using distance permutation tests under uncertainty. The results refer to Fire CCI 5.0 with the best BA description, followed by MCD64C6, MCD64C5.1, MCD45, and Fire CCI 4.1. It was also found that biomass, total BA, and the number of fragments affect the BA product accuracy.
Germán Valencia; Jesús Anaya; Éver Velásquez; Rubén Ramo; Francisco Caro-Lopera. About Validation-Comparison of Burned Area Products. Remote Sensing 2020, 12, 3972 .
AMA StyleGermán Valencia, Jesús Anaya, Éver Velásquez, Rubén Ramo, Francisco Caro-Lopera. About Validation-Comparison of Burned Area Products. Remote Sensing. 2020; 12 (23):3972.
Chicago/Turabian StyleGermán Valencia; Jesús Anaya; Éver Velásquez; Rubén Ramo; Francisco Caro-Lopera. 2020. "About Validation-Comparison of Burned Area Products." Remote Sensing 12, no. 23: 3972.
Geography and associated hydrological, hydroclimate and land-use conditions and their changes determine the states and dynamics of wetlands and their ecosystem services. The influences of these controls are not limited to just the local scale of each individual wetland but extend over larger landscape areas that integrate multiple wetlands and their total hydrological catchment – the wetlandscape. However, the data and knowledge of conditions and changes over entire wetlandscapes are still scarce, limiting the capacity to accurately understand and manage critical wetland ecosystems and their services under global change. We present a new Wetlandscape Change Information Database (WetCID), consisting of geographic, hydrological, hydroclimate and land-use information and data for 27 wetlandscapes around the world. This combines survey-based local information with geographic shapefiles and gridded datasets of large-scale hydroclimate and land-use conditions and their changes over whole wetlandscapes. Temporally, WetCID contains 30-year time series of data for mean monthly precipitation and temperature and annual land-use conditions. The survey-based site information includes local knowledge on the wetlands, hydrology, hydroclimate and land uses within each wetlandscape and on the availability and accessibility of associated local data. This novel database (available through PANGAEA https://doi.org/10.1594/PANGAEA.907398; Ghajarnia et al., 2019) can support site assessments; cross-regional comparisons; and scenario analyses of the roles and impacts of land use, hydroclimatic and wetland conditions, and changes in whole-wetlandscape functions and ecosystem services.
Navid Ghajarnia; Georgia Destouni; Josefin Thorslund; Zahra Kalantari; Imenne Åhlén; Jesús A. Anaya-Acevedo; Juan F. Blanco-Libreros; Sonia Borja; Sergey Chalov; Aleksandra Chalova; Kwok P. Chun; Nicola Clerici; Amanda Desormeaux; Bethany B. Garfield; Pierre Girard; Olga Gorelits; Amy Hansen; Fernando Jaramillo; Jerker Jarsjö; Adnane Labbaci; John Livsey; Giorgos Maneas; Kathryn McCurley Pisarello; Sebastián Palomino-Ángel; Jan Pietroń; René M. Price; Victor H. Rivera-Monroy; Jorge Salgado; A. Britta K. Sannel; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Pavel Terskii; Guillaume Vigouroux; Lucia Licero-Villanueva; David Zamora. Data for wetlandscapes and their changes around the world. Earth System Science Data 2020, 12, 1083 -1100.
AMA StyleNavid Ghajarnia, Georgia Destouni, Josefin Thorslund, Zahra Kalantari, Imenne Åhlén, Jesús A. Anaya-Acevedo, Juan F. Blanco-Libreros, Sonia Borja, Sergey Chalov, Aleksandra Chalova, Kwok P. Chun, Nicola Clerici, Amanda Desormeaux, Bethany B. Garfield, Pierre Girard, Olga Gorelits, Amy Hansen, Fernando Jaramillo, Jerker Jarsjö, Adnane Labbaci, John Livsey, Giorgos Maneas, Kathryn McCurley Pisarello, Sebastián Palomino-Ángel, Jan Pietroń, René M. Price, Victor H. Rivera-Monroy, Jorge Salgado, A. Britta K. Sannel, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Pavel Terskii, Guillaume Vigouroux, Lucia Licero-Villanueva, David Zamora. Data for wetlandscapes and their changes around the world. Earth System Science Data. 2020; 12 (2):1083-1100.
Chicago/Turabian StyleNavid Ghajarnia; Georgia Destouni; Josefin Thorslund; Zahra Kalantari; Imenne Åhlén; Jesús A. Anaya-Acevedo; Juan F. Blanco-Libreros; Sonia Borja; Sergey Chalov; Aleksandra Chalova; Kwok P. Chun; Nicola Clerici; Amanda Desormeaux; Bethany B. Garfield; Pierre Girard; Olga Gorelits; Amy Hansen; Fernando Jaramillo; Jerker Jarsjö; Adnane Labbaci; John Livsey; Giorgos Maneas; Kathryn McCurley Pisarello; Sebastián Palomino-Ángel; Jan Pietroń; René M. Price; Victor H. Rivera-Monroy; Jorge Salgado; A. Britta K. Sannel; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Pavel Terskii; Guillaume Vigouroux; Lucia Licero-Villanueva; David Zamora. 2020. "Data for wetlandscapes and their changes around the world." Earth System Science Data 12, no. 2: 1083-1100.
Tropical forests are disappearing at unprecedented rates, but the drivers behind this transformation are not always clear. This limits the decision-making processes and the effectiveness of forest management policies. In this paper, we address the extent and drivers of deforestation of the Choco biodiversity hotspot, which has not received much scientific attention despite its high levels of plant diversity and endemism. The climate is characterized by persistent cloud cover which is a challenge for land cover mapping from optical satellite imagery. By using Google Earth Engine to select pixels with minimal cloud content and applying a random forest classifier to Landsat and Sentinel data, we produced a wall-to-wall land cover map, enabling a diagnosis of the status and drivers of forest loss in the region. Analyses of these new maps together with information from illicit crops and alluvial mining uncovered the pressure over intact forests. According to Global Forest Change (GFC) data, 2324 km2 were deforested in this area from 2001 to 2018, reaching a maximum in 2016 and 2017. We found that 68% of the area is covered by broadleaf forests (67,473 km2) and 15% by shrublands (14,483 km2), the latter with enormous potential to promote restoration projects. This paper provides a new insight into the conservation of this exceptional forest with a discussion of the drivers of forest loss, where illicit crops and alluvial mining were found to be responsible for 60% of forest loss.
Jesús A. Anaya; Víctor H. Gutiérrez-Vélez; Ana M. Pacheco-Pascagaza; Sebastián Palomino-Ángel; Natasha Han; Heiko Balzter. Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia. Remote Sensing 2020, 12, 1235 .
AMA StyleJesús A. Anaya, Víctor H. Gutiérrez-Vélez, Ana M. Pacheco-Pascagaza, Sebastián Palomino-Ángel, Natasha Han, Heiko Balzter. Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia. Remote Sensing. 2020; 12 (8):1235.
Chicago/Turabian StyleJesús A. Anaya; Víctor H. Gutiérrez-Vélez; Ana M. Pacheco-Pascagaza; Sebastián Palomino-Ángel; Natasha Han; Heiko Balzter. 2020. "Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia." Remote Sensing 12, no. 8: 1235.
The authors wish to make the following correction to this paper
Fernando Jaramillo; Amanda Desormeaux; Johanna Hedlund; James W. Jawitz; Nicola Clerici; Luigi Piemontese; Jenny Alexandra Rodríguez-Rodriguez; Jesús Adolfo Anaya; Juan F. Blanco-Libreros; Sonia Borja; Jorge Celi; Sergey Chalov; Kwok Pan Chun; Matilda Cresso; Georgia Destouni; Shimelis Behailu Dessu; Giuliano Di Baldassarre; Andrea Downing; Luisa Espinosa; Navid Ghajarnia; Pierre Girard; Álvaro G. Gutiérrez; Amy Hansen; Tengfei Hu; Jerker Jarsjö; Zahra Kalantari; Adnane Labbaci; Lucia Licero-Villanueva; John Livsey; Ewa Machotka; Kathryn McCurley; Sebastián Palomino-Ángel; Jan Pietron; René Price; Sorain J. Ramchunder; Constanza Ricaurte-Villota; Luisa Fernanda Ricaurte; Lula Dahir; Erasmo Rodríguez; Jorge Salgado; A. Britta K. Sannel; Ana Carolina Santos; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Lian Sun; Josefin Thorslund; Guillaume Vigouroux; Lan Wang-Erlandsson; Diandian Xu; David Zamora; Alan D. Ziegler; Imenne Åhlén. Correction: Jaramillo, F.; et al. Priorities and Interactions of Sustainable Development Goals (SDGs) with Focus on Wetlands. Water 2019, 11, 619. Water 2019, 12, 88 .
AMA StyleFernando Jaramillo, Amanda Desormeaux, Johanna Hedlund, James W. Jawitz, Nicola Clerici, Luigi Piemontese, Jenny Alexandra Rodríguez-Rodriguez, Jesús Adolfo Anaya, Juan F. Blanco-Libreros, Sonia Borja, Jorge Celi, Sergey Chalov, Kwok Pan Chun, Matilda Cresso, Georgia Destouni, Shimelis Behailu Dessu, Giuliano Di Baldassarre, Andrea Downing, Luisa Espinosa, Navid Ghajarnia, Pierre Girard, Álvaro G. Gutiérrez, Amy Hansen, Tengfei Hu, Jerker Jarsjö, Zahra Kalantari, Adnane Labbaci, Lucia Licero-Villanueva, John Livsey, Ewa Machotka, Kathryn McCurley, Sebastián Palomino-Ángel, Jan Pietron, René Price, Sorain J. Ramchunder, Constanza Ricaurte-Villota, Luisa Fernanda Ricaurte, Lula Dahir, Erasmo Rodríguez, Jorge Salgado, A. Britta K. Sannel, Ana Carolina Santos, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Lian Sun, Josefin Thorslund, Guillaume Vigouroux, Lan Wang-Erlandsson, Diandian Xu, David Zamora, Alan D. Ziegler, Imenne Åhlén. Correction: Jaramillo, F.; et al. Priorities and Interactions of Sustainable Development Goals (SDGs) with Focus on Wetlands. Water 2019, 11, 619. Water. 2019; 12 (1):88.
Chicago/Turabian StyleFernando Jaramillo; Amanda Desormeaux; Johanna Hedlund; James W. Jawitz; Nicola Clerici; Luigi Piemontese; Jenny Alexandra Rodríguez-Rodriguez; Jesús Adolfo Anaya; Juan F. Blanco-Libreros; Sonia Borja; Jorge Celi; Sergey Chalov; Kwok Pan Chun; Matilda Cresso; Georgia Destouni; Shimelis Behailu Dessu; Giuliano Di Baldassarre; Andrea Downing; Luisa Espinosa; Navid Ghajarnia; Pierre Girard; Álvaro G. Gutiérrez; Amy Hansen; Tengfei Hu; Jerker Jarsjö; Zahra Kalantari; Adnane Labbaci; Lucia Licero-Villanueva; John Livsey; Ewa Machotka; Kathryn McCurley; Sebastián Palomino-Ángel; Jan Pietron; René Price; Sorain J. Ramchunder; Constanza Ricaurte-Villota; Luisa Fernanda Ricaurte; Lula Dahir; Erasmo Rodríguez; Jorge Salgado; A. Britta K. Sannel; Ana Carolina Santos; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Lian Sun; Josefin Thorslund; Guillaume Vigouroux; Lan Wang-Erlandsson; Diandian Xu; David Zamora; Alan D. Ziegler; Imenne Åhlén. 2019. "Correction: Jaramillo, F.; et al. Priorities and Interactions of Sustainable Development Goals (SDGs) with Focus on Wetlands. Water 2019, 11, 619." Water 12, no. 1: 88.
Geography and associated hydrological, hydroclimate and land use conditions and their changes determine the states and dynamics of wetlands and their ecosystem services. The influences of these controls are not limited to just the local scale of each individual wetland, but extend over larger landscape areas that integrate multiple wetlands and their total hydrological catchment – the wetlandscape. However, the data and knowledge of conditions and changes over entire wetlandscapes are still scarce, limiting the capacity to accurately understand and manage critical wetland ecosystems and their services under global change. We present a new database, consisting of geographic, hydrological, hydroclimate and land use information and data for 27 wetlandscapes around the world. This combines survey-based local information with geographic shapefiles and gridded datasets of large-scale hydroclimate and land use conditions and their changes over whole wetlandscapes. Temporally, the database contains 30-year time series of data for mean monthly precipitation and temperature, and annual land use conditions. The survey-based site information includes local knowledge on the wetlands, hydrology, hydroclimate and land uses within each wetlandscape, and on the availability and accessibility of associated local data. This novel database (available through PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.907398; Ghajarnia et al., 2019) can support site assessments, cross-regional comparisons, and scenario analyses of the roles and impacts of land use, hydroclimatic and wetland conditions and changes on whole-wetlandscape functions and ecosystem services.
Navid Ghajarnia; Georgia Destouni; Josefin Thorslund; Zahra Kalantari; Imenne Åhlén; Jesús A. Anaya-Acevedo; Juan F. Blanco-Libreros; Sonia Borja; Sergey Chalov; Aleksandra Chalova; Kwok P. Chun; Nicola Clerici; Amanda Desormeaux; Bethany B. Garfield; Pierre Girard; Olga Gorelits; Amy Hansen; Fernando Jaramillo; Jerker Jarsjö; Adnane Labbaci; John Livsey; Giorgos Maneas; Kathryn McCurley; Sebastián Palomino-Ángel; Jan Pietroń; René Price; Victor H. Rivera-Monroy; Jorge Salgado; A. Britta K. Sannel; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Pavel Terskii; Guillaume Vigouroux; Lucia Licero-Villanueva; David Zamora. Data for wetlandscapes and their changes around the world. 2019, 2019, 1 -20.
AMA StyleNavid Ghajarnia, Georgia Destouni, Josefin Thorslund, Zahra Kalantari, Imenne Åhlén, Jesús A. Anaya-Acevedo, Juan F. Blanco-Libreros, Sonia Borja, Sergey Chalov, Aleksandra Chalova, Kwok P. Chun, Nicola Clerici, Amanda Desormeaux, Bethany B. Garfield, Pierre Girard, Olga Gorelits, Amy Hansen, Fernando Jaramillo, Jerker Jarsjö, Adnane Labbaci, John Livsey, Giorgos Maneas, Kathryn McCurley, Sebastián Palomino-Ángel, Jan Pietroń, René Price, Victor H. Rivera-Monroy, Jorge Salgado, A. Britta K. Sannel, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Pavel Terskii, Guillaume Vigouroux, Lucia Licero-Villanueva, David Zamora. Data for wetlandscapes and their changes around the world. . 2019; 2019 ():1-20.
Chicago/Turabian StyleNavid Ghajarnia; Georgia Destouni; Josefin Thorslund; Zahra Kalantari; Imenne Åhlén; Jesús A. Anaya-Acevedo; Juan F. Blanco-Libreros; Sonia Borja; Sergey Chalov; Aleksandra Chalova; Kwok P. Chun; Nicola Clerici; Amanda Desormeaux; Bethany B. Garfield; Pierre Girard; Olga Gorelits; Amy Hansen; Fernando Jaramillo; Jerker Jarsjö; Adnane Labbaci; John Livsey; Giorgos Maneas; Kathryn McCurley; Sebastián Palomino-Ángel; Jan Pietroń; René Price; Victor H. Rivera-Monroy; Jorge Salgado; A. Britta K. Sannel; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Pavel Terskii; Guillaume Vigouroux; Lucia Licero-Villanueva; David Zamora. 2019. "Data for wetlandscapes and their changes around the world." 2019, no. : 1-20.
Floodplain water flows have large volumetric flowrates and high complexity in space and time that are difficult to understand using water level gauges. We here analyze the spatial and temporal fluctuations of surface water flows in the floodplain of the Atrato River, Colombia, in order to evaluate their hydrological connectivity. The basin is one of the rainiest areas of the world with wetland ecosystems threatened by the expansion of agriculture and mining activities. We used 16 Differential Interferometric Synthetic Aperture Radars (DInSAR) phase observations from the ALOS-PALSAR L-band instrument acquired between 2008–2010 to characterize the flow of surface water. We were able to observe water level change in vegetated wetland areas and identify flooding patterns. In the lower basin, flow patterns are conditioned by fluctuations in the levels of the main river channel, whereas in the middle basin, topography and superficial channels strongly influence the flow and connectivity. We found that the variations in water level in a station on the main channel 87 km upstream explained more than 56% of the variations in water level in the floodplain. This result shows that, despite current expansion of agriculture and mining activities, there remain significant hydrological connectivity between wetlands and the Atrato River. This study demonstrates the use of DInSAR for a spatially comprehensive monitoring of the Atrato River basin hydrology. For the first time, we identified the spatiotemporal patterns of surface water flow of the region. We recommend these observations serve as a baseline to monitor the potential impact of ongoing human activities on surface water flows across the Atrato River basin.
Sebastián Palomino-Ángel; Jesús A. Anaya-Acevedo; Marc Simard; Tien-Hao Liao; Fernando Jaramillo. Analysis of Floodplain Dynamics in the Atrato River Colombia Using SAR Interferometry. Water 2019, 11, 875 .
AMA StyleSebastián Palomino-Ángel, Jesús A. Anaya-Acevedo, Marc Simard, Tien-Hao Liao, Fernando Jaramillo. Analysis of Floodplain Dynamics in the Atrato River Colombia Using SAR Interferometry. Water. 2019; 11 (5):875.
Chicago/Turabian StyleSebastián Palomino-Ángel; Jesús A. Anaya-Acevedo; Marc Simard; Tien-Hao Liao; Fernando Jaramillo. 2019. "Analysis of Floodplain Dynamics in the Atrato River Colombia Using SAR Interferometry." Water 11, no. 5: 875.
Wetlands are often vital physical and social components of a country’s natural capital, as well as providers of ecosystem services to local and national communities. We performed a network analysis to prioritize Sustainable Development Goal (SDG) targets for sustainable development in iconic wetlands and wetlandscapes around the world. The analysis was based on the information and perceptions on 45 wetlandscapes worldwide by 49 wetland researchers of the Global Wetland Ecohydrological Network (GWEN). We identified three 2030 Agenda targets of high priority across the wetlandscapes needed to achieve sustainable development: Target 6.3—“Improve water quality”; 2.4—“Sustainable food production”; and 12.2—“Sustainable management of resources”. Moreover, we found specific feedback mechanisms and synergies between SDG targets in the context of wetlands. The most consistent reinforcing interactions were the influence of Target 12.2 on 8.4—“Efficient resource consumption”; and that of Target 6.3 on 12.2. The wetlandscapes could be differentiated in four bundles of distinctive priority SDG-targets: “Basic human needs”, “Sustainable tourism”, “Environmental impact in urban wetlands”, and “Improving and conserving environment”. In general, we find that the SDG groups, targets, and interactions stress that maintaining good water quality and a “wise use” of wetlandscapes are vital to attaining sustainable development within these sensitive ecosystems.
Fernando Jaramillo; Amanda Desormeaux; Johanna Hedlund; James W. Jawitz; Nicola Clerici; Luigi Piemontese; Jenny Alexandra Rodríguez-Rodriguez; Jesús Adolfo Anaya; Juan F. Blanco-Libreros; Sonia Borja; Jorge Celi; Sergey Chalov; Kwok Pan Chun; Matilda Cresso; Georgia Destouni; Shimelis Behailu Dessu; Giuliano Di Baldassarre; Andrea Downing; Luisa Espinosa; Navid Ghajarnia; Pierre Girard; Álvaro G. Gutiérrez; Amy Hansen; Tengfei Hu; Jerker Jarsjö; Zahra Kalantari; Adnane Labbaci; Lucia Licero-Villanueva; John Livsey; Ewa Machotka; Kathryn McCurley; Sebastián Palomino-Ángel; Jan Pietron; René Price; Sorain J. Ramchunder; Constanza Ricaurte-Villota; Luisa Fernanda Ricaurte; Lula Dahir; Erasmo Rodríguez; Jorge Salgado; A. Britta K. Sannel; Ana Carolina Santos; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Lian Sun; Josefin Thorslund; Guillaume Vigouroux; Lan Wang-Erlandsson; Diandian Xu; David Zamora; Alan D. Ziegler; Imenne Åhlén. Priorities and Interactions of Sustainable Development Goals (SDGs) with Focus on Wetlands. Water 2019, 11, 619 .
AMA StyleFernando Jaramillo, Amanda Desormeaux, Johanna Hedlund, James W. Jawitz, Nicola Clerici, Luigi Piemontese, Jenny Alexandra Rodríguez-Rodriguez, Jesús Adolfo Anaya, Juan F. Blanco-Libreros, Sonia Borja, Jorge Celi, Sergey Chalov, Kwok Pan Chun, Matilda Cresso, Georgia Destouni, Shimelis Behailu Dessu, Giuliano Di Baldassarre, Andrea Downing, Luisa Espinosa, Navid Ghajarnia, Pierre Girard, Álvaro G. Gutiérrez, Amy Hansen, Tengfei Hu, Jerker Jarsjö, Zahra Kalantari, Adnane Labbaci, Lucia Licero-Villanueva, John Livsey, Ewa Machotka, Kathryn McCurley, Sebastián Palomino-Ángel, Jan Pietron, René Price, Sorain J. Ramchunder, Constanza Ricaurte-Villota, Luisa Fernanda Ricaurte, Lula Dahir, Erasmo Rodríguez, Jorge Salgado, A. Britta K. Sannel, Ana Carolina Santos, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Lian Sun, Josefin Thorslund, Guillaume Vigouroux, Lan Wang-Erlandsson, Diandian Xu, David Zamora, Alan D. Ziegler, Imenne Åhlén. Priorities and Interactions of Sustainable Development Goals (SDGs) with Focus on Wetlands. Water. 2019; 11 (3):619.
Chicago/Turabian StyleFernando Jaramillo; Amanda Desormeaux; Johanna Hedlund; James W. Jawitz; Nicola Clerici; Luigi Piemontese; Jenny Alexandra Rodríguez-Rodriguez; Jesús Adolfo Anaya; Juan F. Blanco-Libreros; Sonia Borja; Jorge Celi; Sergey Chalov; Kwok Pan Chun; Matilda Cresso; Georgia Destouni; Shimelis Behailu Dessu; Giuliano Di Baldassarre; Andrea Downing; Luisa Espinosa; Navid Ghajarnia; Pierre Girard; Álvaro G. Gutiérrez; Amy Hansen; Tengfei Hu; Jerker Jarsjö; Zahra Kalantari; Adnane Labbaci; Lucia Licero-Villanueva; John Livsey; Ewa Machotka; Kathryn McCurley; Sebastián Palomino-Ángel; Jan Pietron; René Price; Sorain J. Ramchunder; Constanza Ricaurte-Villota; Luisa Fernanda Ricaurte; Lula Dahir; Erasmo Rodríguez; Jorge Salgado; A. Britta K. Sannel; Ana Carolina Santos; Samaneh Seifollahi-Aghmiuni; Ylva Sjöberg; Lian Sun; Josefin Thorslund; Guillaume Vigouroux; Lan Wang-Erlandsson; Diandian Xu; David Zamora; Alan D. Ziegler; Imenne Åhlén. 2019. "Priorities and Interactions of Sustainable Development Goals (SDGs) with Focus on Wetlands." Water 11, no. 3: 619.
The availability of water is critical in determining the distribution of species by favoring or limiting their development, and leading to the formation of different ecosystems. Thus, analyzing the trends and fluctuations of the precipitation is a key factor to understanding our planet's biodiversity. Different physical conditions exist in northwestern South America that cause extreme climate conditions, especially on the west coast of the continent. This region, known as Biogeographic Chocó, has high annual precipitation caused by interactions between the humid currents of the Pacific Ocean and the Andes Mountains. A limited network of hydro-meteorological stations are available in the region to monitor precipitation. Satellite precipitation products can provide valuable information in the absence of field stations, complementing the network of field stations in remote areas, and completing time series for stations that have stopped working. However, remote sensing data must be validated before being used. The goal of this study is thus to evaluate the accuracy of the products of the Tropical Rainfall Measuring Mission 3B42V7 and the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG), under very high precipitation conditions, and evaluate their strengths and shortcomings. These programs provide daily-precipitation information with a spatial resolution of 0.25° for the former and 0.1° for the latter. The validation was done by using a time series of daily-precipitation data obtained from 185 hydro-meteorological stations distributed over the Biogeographic Chocó. Different statistic metrics were used in the evaluation and comparison: error metrics (mean difference MD, relative mean difference RMD, and root mean square error RMSE), a correlation metric (Pearson correlation CP), contingency metrics (probability of detection POD, false-alarm ratio FAR, and critical success index CSI). We also evaluate the grid and areal scale. The results show that (i) the 3B42V7 and IMERG daily-precipitation products represent well the spatial and temporal distribution of the mean daily precipitation over the Biographic Chocó, and both products are accurate for detecting precipitation events. (ii) The mean daily precipitation tends to be overestimated in areas with relative low precipitation and medium-to-high altitude whereas, on the contrary, mean daily precipitation tends to be underestimated in areas with very high precipitation and medium-to-low altitude. (iii) Finally, copious precipitation (i.e., an annual accumulated precipitation over 5000 mm, which is common for over 55% of the study area) strongly affects the accuracy of the satellite products, leading to significant errors in estimates of daily precipitation for some regions. This study constitutes one of the first exhaustive validation of the IMERG daily precipitation product over the Biogeographic Chocó, and the results provide important information about the potential for using this product in the study area and over regions with high precipitation.
Sebastián Palomino-Ángel; Jesús Anaya; Blanca Botero. Evaluation of 3B42V7 and IMERG daily-precipitation products for a very high-precipitation region in northwestern South America. Atmospheric Research 2018, 217, 37 -48.
AMA StyleSebastián Palomino-Ángel, Jesús Anaya, Blanca Botero. Evaluation of 3B42V7 and IMERG daily-precipitation products for a very high-precipitation region in northwestern South America. Atmospheric Research. 2018; 217 ():37-48.
Chicago/Turabian StyleSebastián Palomino-Ángel; Jesús Anaya; Blanca Botero. 2018. "Evaluation of 3B42V7 and IMERG daily-precipitation products for a very high-precipitation region in northwestern South America." Atmospheric Research 217, no. : 37-48.
There are large omission errors in the estimation of burned area in map products that are generated at a global scale. This error is then inherited by other models, for instance, those used to report Greenhouse Gas Emissions using a “bottom up” approach. This study evaluates temporal methods to improve burned area detection using Landsat 5-TM and 8-OLI. In this process, the normalized burn ratio (NBR) was used to highlight burned areas and thresholds to classify burned and non-burned areas. In order to maximize the burned area detection two alternatives to the temporal dNBR method were evaluated: the relative form of the temporal difference RdNBR and the use of time series metrics. The processing, algorithm development and access to Landsat data was made on the Google Earth Engine GEE platform. Three regions of Latin America with large fire occurrence were selected: The Amazon Forest in Colombia, the transition from Chiquitano to Amazon Forest in Bolivia, and El Chaco Region in Argentina. The accuracy assessment of these new products was based on burned area protocols. The best model classified 85% of burned areas in the Chiquitano Forests of Bolivia, 63% of the burned areas of the Amazon Forests of Colombia and 69% of burned areas in El Chaco of Argentina.
J.A. Anaya; W.F. Sione; A.M. Rodriguez-Montellano. Identificación de áreas quemadas mediante el análisis de series de tiempo en el ámbito de computación en la nube. Revista de Teledetección 2018, 61 -73.
AMA StyleJ.A. Anaya, W.F. Sione, A.M. Rodriguez-Montellano. Identificación de áreas quemadas mediante el análisis de series de tiempo en el ámbito de computación en la nube. Revista de Teledetección. 2018; (51):61-73.
Chicago/Turabian StyleJ.A. Anaya; W.F. Sione; A.M. Rodriguez-Montellano. 2018. "Identificación de áreas quemadas mediante el análisis de series de tiempo en el ámbito de computación en la nube." Revista de Teledetección , no. 51: 61-73.
After more than 50-years of armed conflict, Colombia is now transitioning to a more stable social and political climate due to a series of peace agreements between the government and different armed groups. Consequences of these socio-economic and political changes on ecosystems are largely uncertain, but there is growing concern about derived increases in environmental degradation. Here, we review the capacity of Colombia to monitor the state of its ecosystems and their rate of change over time. We found several important programs currently set in place by different institutions as well as by independent groups of scientists that address different aspects of environmental monitoring. However, most of the current initiatives could be improved in terms of data coverage, quality and access, and could be better articulated among each other. We propose a set of activities that would increase the capacity of Colombia to monitor its ecosystems, provide useful information to policy makers, and facilitate scientific research. These include: 1) the establishment of a national center for ecological synthesis that focuses on analyzing existing information; 2) the establishment of an ecological observatory system that collects new information, integrates remote sensing products, and produces near real-time products on key ecological variables; and 3) the creation of new platforms for dialog and action within existing scientific and policy groups
Carlos A. Sierra; Miguel Mahecha; Germán Poveda; Esteban Alvarez-Davila; Víctor H. Gutierrez-Velez; Björn Reu; Hannes Feilhauer; Jesús Anaya; Dolors Armenteras; Ana M. Benavides; Corina Buendia; Álvaro Duque; Lina M. Estupiñan-Suarez; Catalina González; Sebastián Gonzalez-Caro; Rodrigo Jimenez; Guido Kraemer; Maria C. Londoño; Sergio A. Orrego; Juan M. Posada; Daniel Ruiz-Carrascal; Sandra Skowronek. Monitoring ecological change during rapid socio-economic and political transitions: Colombian ecosystems in the post-conflict era. Environmental Science & Policy 2017, 76, 40 -49.
AMA StyleCarlos A. Sierra, Miguel Mahecha, Germán Poveda, Esteban Alvarez-Davila, Víctor H. Gutierrez-Velez, Björn Reu, Hannes Feilhauer, Jesús Anaya, Dolors Armenteras, Ana M. Benavides, Corina Buendia, Álvaro Duque, Lina M. Estupiñan-Suarez, Catalina González, Sebastián Gonzalez-Caro, Rodrigo Jimenez, Guido Kraemer, Maria C. Londoño, Sergio A. Orrego, Juan M. Posada, Daniel Ruiz-Carrascal, Sandra Skowronek. Monitoring ecological change during rapid socio-economic and political transitions: Colombian ecosystems in the post-conflict era. Environmental Science & Policy. 2017; 76 ():40-49.
Chicago/Turabian StyleCarlos A. Sierra; Miguel Mahecha; Germán Poveda; Esteban Alvarez-Davila; Víctor H. Gutierrez-Velez; Björn Reu; Hannes Feilhauer; Jesús Anaya; Dolors Armenteras; Ana M. Benavides; Corina Buendia; Álvaro Duque; Lina M. Estupiñan-Suarez; Catalina González; Sebastián Gonzalez-Caro; Rodrigo Jimenez; Guido Kraemer; Maria C. Londoño; Sergio A. Orrego; Juan M. Posada; Daniel Ruiz-Carrascal; Sandra Skowronek. 2017. "Monitoring ecological change during rapid socio-economic and political transitions: Colombian ecosystems in the post-conflict era." Environmental Science & Policy 76, no. : 40-49.
Fire is an important tool in tropical forest management, as it alters forest composition, structure, and the carbon budget. The United Nations program on Reducing Emissions from Deforestation and Forest Degradation (REDD+) aims to sustainably manage forests, as well as to conserve and enhance their carbon stocks. Despite the crucial role of fire management, decision-making on REDD+ interventions fails to systematically include fires. Here, we address this critical knowledge gap in two ways. First, we review REDD+ projects and programs to assess the inclusion of fires in monitoring, reporting, and verification (MRV) systems. Second, we model the relationship between fire and forest for a pilot site in Colombia using near-real-time (NRT) fire monitoring data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). The literature review revealed fire remains to be incorporated as a key component of MRV systems. Spatially explicit modeling of land use change showed the probability of deforestation declined sharply with increasing distance to the nearest fire the preceding year (multi-year model area under the curve [AUC] 0.82). Deforestation predictions based on the model performed better than the official REDD early-warning system. The model AUC for 2013 and 2014 was 0.81, compared to 0.52 for the early-warning system in 2013 and 0.68 in 2014. This demonstrates NRT fire monitoring is a powerful tool to predict sites of forest deforestation. Applying new, publicly available, and open-access NRT fire data should be an essential element of early-warning systems to detect and prevent deforestation. Our results provide tools for improving both the current MRV systems, and the deforestation early-warning system in Colombia.
Dolors Armenteras; Cerian Gibbes; Jesús Anaya; Liliana Davalos. Integrating remotely sensed fires for predicting deforestation for REDD+. Ecological Applications 2017, 27, 1294 -1304.
AMA StyleDolors Armenteras, Cerian Gibbes, Jesús Anaya, Liliana Davalos. Integrating remotely sensed fires for predicting deforestation for REDD+. Ecological Applications. 2017; 27 (4):1294-1304.
Chicago/Turabian StyleDolors Armenteras; Cerian Gibbes; Jesús Anaya; Liliana Davalos. 2017. "Integrating remotely sensed fires for predicting deforestation for REDD+." Ecological Applications 27, no. 4: 1294-1304.
El presente estudio tiene como fin determinar el potencial de humedales a nivel de pixel en la llanura de inundación del Río León, se consideraron aspectos de hidrología, vegetación hidrofítica y suelos hidromórficos. Se utilizaron mediciones en campo y modelos distribuidos espacialmente para modelar la hidrología superficial y los niveles piezométricos. También se utilizaron imágenes de satélite para determinar áreas inundadas y vegetación. Los mapas existentes del instituto geográfico Agustín Codazzi fueron utilizados para definir la distribución espacial de los suelos hidromórficos. Se prestó atención especial a la infraestructura agrícola, donde los diques artificiales y trasvases han sido utilizados para modificar la hidrología superficial con el fin de promover el establecimiento de plantaciones y pastoreo. Un total de 536 km2 cumplieron una o más condiciones de humedal según las variables biofísicas, pero solo 393 km2 fueron seleccionados mediante reglas lógicas como pixeles de humedal. La combinación de variables biofísicas para la definición del potencial de humedal es discutida en términos de la distribución espacial y las implicaciones para el manejo de los recursos naturales.
Jesús Adolfo Anaya; John Fernando Escobar-Martínez; Héctor Massone; Gisel Booman; Orlando Mauricio Quiroz-Londoño; César Camilo Cañón-Barriga; Luis Javier Montoya-Jaramillo; Sebastián Palomino-Ángel. Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS. DYNA 2017, 84, 186 -194.
AMA StyleJesús Adolfo Anaya, John Fernando Escobar-Martínez, Héctor Massone, Gisel Booman, Orlando Mauricio Quiroz-Londoño, César Camilo Cañón-Barriga, Luis Javier Montoya-Jaramillo, Sebastián Palomino-Ángel. Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS. DYNA. 2017; 84 (201):186-194.
Chicago/Turabian StyleJesús Adolfo Anaya; John Fernando Escobar-Martínez; Héctor Massone; Gisel Booman; Orlando Mauricio Quiroz-Londoño; César Camilo Cañón-Barriga; Luis Javier Montoya-Jaramillo; Sebastián Palomino-Ángel. 2017. "Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS." DYNA 84, no. 201: 186-194.
This paper analyzes the reflectance obtained with a series of Landsat images processed with LEDAPS model in a region of the Colombian Andes. A total of 38 images of TM and ETM sensors were calibrated to surface reflectance using LEDAPS in order to determine difference among bands of the same sensor, difference between sensors and analyze temporal patterns. Exact nonparametric statistics allow to conclude that: a) surface reflectance for band 1–5 and 7 were significantly different and this difference remains among images of different dates; b) there are statistical similarities between the TM and ETM sensors bands; c) temporal variations on surface reflectance from the years 1986 to 2013 with the sensors studied are not statistically significant. These results are supported by the implementation of robust modeling with various methods resistant to unusual observations and other typical problems of the classical least squares modeling.
G. M. Valencia; Jesús Anaya; F. J. Caro-Lopera. Implementación y evaluación del modelo Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS): estudio de caso en los Andes colombianos. Revista de Teledetección 2016, 83 -101.
AMA StyleG. M. Valencia, Jesús Anaya, F. J. Caro-Lopera. Implementación y evaluación del modelo Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS): estudio de caso en los Andes colombianos. Revista de Teledetección. 2016; (46):83-101.
Chicago/Turabian StyleG. M. Valencia; Jesús Anaya; F. J. Caro-Lopera. 2016. "Implementación y evaluación del modelo Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS): estudio de caso en los Andes colombianos." Revista de Teledetección , no. 46: 83-101.
Generating annual land cover maps in the tropics based on optical data is challenging because of the large amount of invalid observations resulting from the presence of clouds and haze or high moisture content in the atmosphere. This study proposes a strategy to build an annual time series from multi-year data to fill data gaps. The approach was tested using the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index and spectral bands as input for land cover classification of Colombia. In a second step, selected ancillary variables, such as elevation, L-band Radar, and precipitation were added to improve overall accuracy. Decision-tree classification was used for assigning eleven land cover classes using the International Geosphere-Biosphere Programme (IGBP) legend. Maps were assessed by their spatial confidence derived from the decision tree approach and conventional accuracy measures using reference data and statistics based on the error matrix. The multi-year data integration approach drastically decreased the area covered by invalid pixels. Overall accuracy of land cover maps significantly increased from 58.36% using only optical time series of 2011 filtered for low quality observations, to 68.79% when using data for 2011 ± 2 years. Adding elevation to the feature set resulted in 70.50% accuracy.
Jesús A. Anaya; René R. Colditz; Germán M. Valencia. Land Cover Mapping of a Tropical Region by Integrating Multi-Year Data into an Annual Time Series. Remote Sensing 2015, 7, 16274 -16292.
AMA StyleJesús A. Anaya, René R. Colditz, Germán M. Valencia. Land Cover Mapping of a Tropical Region by Integrating Multi-Year Data into an Annual Time Series. Remote Sensing. 2015; 7 (12):16274-16292.
Chicago/Turabian StyleJesús A. Anaya; René R. Colditz; Germán M. Valencia. 2015. "Land Cover Mapping of a Tropical Region by Integrating Multi-Year Data into an Annual Time Series." Remote Sensing 7, no. 12: 16274-16292.
Land cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling. © 2012 Elsevier Inc
Paula D. Blanco; René R. Colditz; Gerardo López Saldaña; Leonardo A. Hardtke; Ricardo M. Llamas; Nicolás A. Mari; Angeles Fischer; Constanza Caride; Pablo G. Aceñolaza; Héctor F. Del Valle; Mario Lillo-Saavedra; Fernando Coronato; Sergio A. Opazo; Fabiano Morelli; Jesús A. Anaya; Walter F. Sione; Pamela Zamboni; Victor Barrena Arroyo. A land cover map of Latin America and the Caribbean in the framework of the SERENA project. Remote Sensing of Environment 2013, 132, 13 -31.
AMA StylePaula D. Blanco, René R. Colditz, Gerardo López Saldaña, Leonardo A. Hardtke, Ricardo M. Llamas, Nicolás A. Mari, Angeles Fischer, Constanza Caride, Pablo G. Aceñolaza, Héctor F. Del Valle, Mario Lillo-Saavedra, Fernando Coronato, Sergio A. Opazo, Fabiano Morelli, Jesús A. Anaya, Walter F. Sione, Pamela Zamboni, Victor Barrena Arroyo. A land cover map of Latin America and the Caribbean in the framework of the SERENA project. Remote Sensing of Environment. 2013; 132 ():13-31.
Chicago/Turabian StylePaula D. Blanco; René R. Colditz; Gerardo López Saldaña; Leonardo A. Hardtke; Ricardo M. Llamas; Nicolás A. Mari; Angeles Fischer; Constanza Caride; Pablo G. Aceñolaza; Héctor F. Del Valle; Mario Lillo-Saavedra; Fernando Coronato; Sergio A. Opazo; Fabiano Morelli; Jesús A. Anaya; Walter F. Sione; Pamela Zamboni; Victor Barrena Arroyo. 2013. "A land cover map of Latin America and the Caribbean in the framework of the SERENA project." Remote Sensing of Environment 132, no. : 13-31.
Jesús A. Anaya; Emilio Chuvieco. Accuracy Assessment of Burned Area Products in the Orinoco Basin. Photogrammetric Engineering & Remote Sensing 2012, 78, 53 -60.
AMA StyleJesús A. Anaya, Emilio Chuvieco. Accuracy Assessment of Burned Area Products in the Orinoco Basin. Photogrammetric Engineering & Remote Sensing. 2012; 78 (1):53-60.
Chicago/Turabian StyleJesús A. Anaya; Emilio Chuvieco. 2012. "Accuracy Assessment of Burned Area Products in the Orinoco Basin." Photogrammetric Engineering & Remote Sensing 78, no. 1: 53-60.
This paper presents a method to increase the level of detail of aboveground biomass estimates at a regional scale. Methods are based on empirical relationships while materials are based on MODIS products and field measurements; the area covers from 4° south up to 12° north of the Equator with a total of 1,139,012 km2 corresponding to the continental area of Colombia. Vegetation was classified in three broad classes: grasslands, secondary forests and primary forests which have been proved to enhance biomass estimates. MOD44 vegetation continuous fields (VCFs) was used as an explanatory variable for primary and secondary forests following an exponential relationship, while MOD13A1 enhanced vegetation index (EVI) was used as explanatory variable for grasslands following a linear relationship; biomass for this vegetation class was estimated every 16 days given its large variation throughout the year. EVI–biomass relationships were established from 2001 to 2006. Vegetation maps were used to separate primary forests from secondary forest, since the latter has shown lower biomass levels. Confidence intervals of the exponential regression are larger as the biomass values increases, for this reason the uncertainty is quite high ranging from 3.7 to 25.2 millions of Mg with a mean of 16.2 million of Mg. Despite the uncertainty our biomass results are within the estimates of previous studies.
Jesús A. Anaya; Emilio Chuvieco; Alicia Palacios-Orueta. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management 2009, 257, 1237 -1246.
AMA StyleJesús A. Anaya, Emilio Chuvieco, Alicia Palacios-Orueta. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management. 2009; 257 (4):1237-1246.
Chicago/Turabian StyleJesús A. Anaya; Emilio Chuvieco; Alicia Palacios-Orueta. 2009. "Aboveground biomass assessment in Colombia: A remote sensing approach." Forest Ecology and Management 257, no. 4: 1237-1246.
This paper presents results of the AQL2004 project, which has been developed within the GOFC‐GOLD Latin American network of remote sensing and forest fires (RedLatif). The project intended to obtain monthly burned‐land maps of the entire region, from Mexico to Patagonia, using MODIS (moderate‐resolution imaging spectroradiometer) reflectance data. The project has been organized in three different phases: acquisition and preprocessing of satellite data; discrimination of burned pixels; and validation of results. In the first phase, input data consisting of 32‐day composites of MODIS 500‐m reflectance data generated by the Global Land Cover Facility (GLCF) of the University of Maryland (College Park, Maryland, USA) were collected and processed. The discrimination of burned areas was addressed in two steps: searching for “burned core” pixels using postfire spectral indices and multitemporal change detection and mapping of burned scars using contextual techniques. The validation phase was based on visual analysis of Landsat and CBERS (China–Brazil Earth Resources Satellite) images. Validation of the burned‐land category showed an agreement ranging from 30% to 60%, depending on the ecosystem and vegetation species present. The total burned area for the entire year was estimated to be 153 215 km2. The most affected countries in relation to their territory were Cuba, Colombia, Bolivia, and Venezuela. Burned areas were found in most land covers; herbaceous vegetation (savannas and grasslands) presented the highest proportions of burned area, while perennial forest had the lowest proportions. The importance of croplands in the total burned area should be taken with reserve, since this cover presented the highest commission errors. The importance of generating systematic products of burned land areas for different ecological processes is emphasized.
Emilio Chuvieco; Sergio Opazo; Walter Sione; Hector Del Valle; Jesús Anaya; Carlos Di Bella; Isabel Cruz; Lilia Manzo; Gerardo López; Nicolas Mari; Federico González-Alonso; Fabiano Morelli; Alberto Setzer; Ivan Csiszar; Jon Ander Kanpandegi; Aitor Bastarrika; Renata Libonati. GLOBAL BURNED-LAND ESTIMATION IN LATIN AMERICA USING MODIS COMPOSITE DATA. Ecological Applications 2008, 18, 64 -79.
AMA StyleEmilio Chuvieco, Sergio Opazo, Walter Sione, Hector Del Valle, Jesús Anaya, Carlos Di Bella, Isabel Cruz, Lilia Manzo, Gerardo López, Nicolas Mari, Federico González-Alonso, Fabiano Morelli, Alberto Setzer, Ivan Csiszar, Jon Ander Kanpandegi, Aitor Bastarrika, Renata Libonati. GLOBAL BURNED-LAND ESTIMATION IN LATIN AMERICA USING MODIS COMPOSITE DATA. Ecological Applications. 2008; 18 (1):64-79.
Chicago/Turabian StyleEmilio Chuvieco; Sergio Opazo; Walter Sione; Hector Del Valle; Jesús Anaya; Carlos Di Bella; Isabel Cruz; Lilia Manzo; Gerardo López; Nicolas Mari; Federico González-Alonso; Fabiano Morelli; Alberto Setzer; Ivan Csiszar; Jon Ander Kanpandegi; Aitor Bastarrika; Renata Libonati. 2008. "GLOBAL BURNED-LAND ESTIMATION IN LATIN AMERICA USING MODIS COMPOSITE DATA." Ecological Applications 18, no. 1: 64-79.