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We currently live in an era of major global change that has led to the introduction and range expansion of numerous invasive species worldwide. In addition to the ecological and economic consequences associated with most invasive species, invasive arthropods that vector pathogens (IAVPs) to humans and animals pose substantial health risks. Species distribution models that are informed using environmental Earth data are frequently employed to predict the distribution of invasive species, and to advise targeted mitigation strategies. However, there are currently substantial mismatches in the temporal and spatial resolution of these data and the environmental contexts which affect IAVPs. Consequently, targeted actions to control invasive species or to prepare the population for possible disease outbreaks may lack efficacy. Here, we identify and discuss how the currently available environmental Earth data are lacking with respect to their applications in species distribution modeling, particularly when predicting the potential distribution of IAVPs at meaningful space-time scales. For example, we examine the issues related to interpolation of weather station data and the lack of microclimatic data relevant to the environment experienced by IAVPs. In addition, we suggest how these data gaps can be filled, including through the possible development of a dedicated open access database, where data from both remotely- and proximally-sensed sources can be stored, shared, and accessed.
Emily L. Pascoe; Sajid Pareeth; Duccio Rocchini; Matteo Marcantonio. A Lack of “Environmental Earth Data” at the Microhabitat Scale Impacts Efforts to Control Invasive Arthropods That Vector Pathogens. Data 2019, 4, 133 .
AMA StyleEmily L. Pascoe, Sajid Pareeth, Duccio Rocchini, Matteo Marcantonio. A Lack of “Environmental Earth Data” at the Microhabitat Scale Impacts Efforts to Control Invasive Arthropods That Vector Pathogens. Data. 2019; 4 (4):133.
Chicago/Turabian StyleEmily L. Pascoe; Sajid Pareeth; Duccio Rocchini; Matteo Marcantonio. 2019. "A Lack of “Environmental Earth Data” at the Microhabitat Scale Impacts Efforts to Control Invasive Arthropods That Vector Pathogens." Data 4, no. 4: 133.
Increase in irrigated area, driven by demand for more food production, in the semi-arid regions of Asia and Africa is putting pressure on the already strained available water resources. To cope and manage this situation, monitoring spatial and temporal dynamics of the irrigated area land use at basin level is needed to ensure proper allocation of water. Publicly available satellite data at high spatial resolution and advances in remote sensing techniques offer a viable opportunity. In this study, we developed a new approach using time series of Landsat 8 (L8) data and Random Forest (RF) machine learning algorithm by introducing a hierarchical post-processing scheme to extract key Land Use Land Cover (LULC) types. We implemented this approach for Mashhad basin in Iran to develop a LULC map at 15 m spatial resolution with nine classes for the crop year 2015/2016. In addition, five irrigated land use types were extracted for three crop years—2013/2014, 2014/2015, and 2015/2016—using the RF models. The total irrigated area was estimated at 1796.16 km2, 1581.7 km2 and 1578.26 km2 for the cropping years 2013/2014, 2014/2015 and 2015/2016, respectively. The overall accuracy of the final LULC map was 87.2% with a kappa coefficient of 0.85. The methodology was implemented using open data and open source libraries. The ability of the RF models to extract key LULC types at basin level shows the usability of such approaches for operational near real time monitoring.
Sajid Pareeth; Poolad Karimi; Mojtaba Shafiei; Charlotte De Fraiture. Mapping Agricultural Landuse Patterns from Time Series of Landsat 8 Using Random Forest Based Hierarchial Approach. Remote Sensing 2019, 11, 601 .
AMA StyleSajid Pareeth, Poolad Karimi, Mojtaba Shafiei, Charlotte De Fraiture. Mapping Agricultural Landuse Patterns from Time Series of Landsat 8 Using Random Forest Based Hierarchial Approach. Remote Sensing. 2019; 11 (5):601.
Chicago/Turabian StyleSajid Pareeth; Poolad Karimi; Mojtaba Shafiei; Charlotte De Fraiture. 2019. "Mapping Agricultural Landuse Patterns from Time Series of Landsat 8 Using Random Forest Based Hierarchial Approach." Remote Sensing 11, no. 5: 601.
The availability of more than thirty years of historical satellite data is a valuable source which could be used as an alternative to the sparse in-situ data. We developed a new homogenised time series of daily day time Lake Surface Water Temperature (LSWT) over the last thirty years (1986-2015) at a spatial resolution of 1km from thirteen polar orbiting satellites. The new homogenisation procedure implemented in this study corrects for the different acquisition times of the satellites standardizing the derived LSWT to 12:00 UTC. In this study, we developed new time series of LSWT for five large lakes in Italy and evaluated the product with in-situ data from the respective lakes. Furthermore, we estimated the long-term annual and summer trends, the temporal coherence of mean LSWT between the lakes, and studied the intra-annual variations and long-term trends from the newly developed LSWT time series. We found a regional warming trend at a rate of 0.017°Cyr annually and 0.032°Cyr during summer. Mean annual and summer LSWT temporal patterns in these lakes were found to be highly coherent. Amidst the reported rapid warming of lakes globally, it is important to understand the long-term variations of surface temperature at a regional scale. This study contributes a new method to derive long-term accurate LSWT for lakes with sparse in-situ data thereby facilitating understanding of regional level changes in lake's surface temperature.
Sajid Pareeth; Mariano Bresciani; Fabio Buzzi; Barbara Leoni; Fabio Lepori; Alessandro Ludovisi; Giuseppe Morabito; Rita Adrian; Markus Neteler; Nico Salmaso. Warming trends of perialpine lakes from homogenised time series of historical satellite and in-situ data. Science of The Total Environment 2017, 578, 417 -426.
AMA StyleSajid Pareeth, Mariano Bresciani, Fabio Buzzi, Barbara Leoni, Fabio Lepori, Alessandro Ludovisi, Giuseppe Morabito, Rita Adrian, Markus Neteler, Nico Salmaso. Warming trends of perialpine lakes from homogenised time series of historical satellite and in-situ data. Science of The Total Environment. 2017; 578 ():417-426.
Chicago/Turabian StyleSajid Pareeth; Mariano Bresciani; Fabio Buzzi; Barbara Leoni; Fabio Lepori; Alessandro Ludovisi; Giuseppe Morabito; Rita Adrian; Markus Neteler; Nico Salmaso. 2017. "Warming trends of perialpine lakes from homogenised time series of historical satellite and in-situ data." Science of The Total Environment 578, no. : 417-426.
Understanding the causes and effects of species invasions is a priority in ecology and conservation biology. One of the crucial steps in evaluating the impact of invasive species is to map changes in their actual and potential distribution and relative abundance across a wide region over an appropriate time span. While direct and indirect remote sensing approaches have long been used to assess the invasion of plant species, the distribution of invasive animals is mainly based on indirect methods that rely on environmental proxies of conditions suitable for colonization by a particular species. The aim of this article is to review recent efforts in the predictive modelling of the spread of both plant and animal invasive species using remote sensing, and to stimulate debate on the potential use of remote sensing in biological invasion monitoring and forecasting. Specifically, the challenges and drawbacks of remote sensing techniques are discussed in relation to: i) developing species distribution models, and ii) studying life cycle changes and phenological variations. Finally, the paper addresses the open challenges and pitfalls of remote sensing for biological invasion studies including sensor characteristics, upscaling and downscaling in species distribution models, and uncertainty of results.
Duccio Rocchini; Veronica Andreo; Michael Förster; Carol X. Garzon-Lopez; Andrew Paul Gutierrez; Thomas W. Gillespie; Heidi Christine Hauffe; Kate S. He; Birgit Kleinschmit; Paola Mairota; Matteo Marcantonio; Markus Metz; Harini Nagendra; Sajid Pareeth; Luigi Ponti; Carlo Ricotta; Annapaola Rizzoli; Gertrud Schaab; Marc Zebisch; Roberto Zorer; Markus Neteler. Potential of remote sensing to predict species invasions. Progress in Physical Geography: Earth and Environment 2015, 39, 283 -309.
AMA StyleDuccio Rocchini, Veronica Andreo, Michael Förster, Carol X. Garzon-Lopez, Andrew Paul Gutierrez, Thomas W. Gillespie, Heidi Christine Hauffe, Kate S. He, Birgit Kleinschmit, Paola Mairota, Matteo Marcantonio, Markus Metz, Harini Nagendra, Sajid Pareeth, Luigi Ponti, Carlo Ricotta, Annapaola Rizzoli, Gertrud Schaab, Marc Zebisch, Roberto Zorer, Markus Neteler. Potential of remote sensing to predict species invasions. Progress in Physical Geography: Earth and Environment. 2015; 39 (3):283-309.
Chicago/Turabian StyleDuccio Rocchini; Veronica Andreo; Michael Förster; Carol X. Garzon-Lopez; Andrew Paul Gutierrez; Thomas W. Gillespie; Heidi Christine Hauffe; Kate S. He; Birgit Kleinschmit; Paola Mairota; Matteo Marcantonio; Markus Metz; Harini Nagendra; Sajid Pareeth; Luigi Ponti; Carlo Ricotta; Annapaola Rizzoli; Gertrud Schaab; Marc Zebisch; Roberto Zorer; Markus Neteler. 2015. "Potential of remote sensing to predict species invasions." Progress in Physical Geography: Earth and Environment 39, no. 3: 283-309.
Urbanization in Asia exhibits some distinctive patterns of change that are not observed in other Western countries. The south Indian city of Bangalore is India's second fastest growing city, and has witnessed the large scale destruction of vegetation in recent years for urban development. This research uses satellite imagery to study changes in vegetation cover in Bangalore between 2000 and 2007. We find anomalous patterns of vegetation change. The core is relatively well protected due to high land prices and the presence of large public institutions due to its historical pattern of development as a military station, but is undergoing fragmentation. Peripheral areas are undergoing rapid urbanization, vegetation clearing and fragmentation. Although greening is taking place in the landscape surrounding the city limits, this appears to be short term, largely consists of fast growing water hungry exotic species, and presages further rapid and large scale development as the city expands even further. The findings presented here have important implications for policy and planning at the local, city and regional level. These suggest that an especial emphasis needs to be made on understanding the role and importance of vegetation in rapidly expanding cities, to achieve a healthy urban environment.
Harini Nagendra; Suparsh Nagendran; Somajita Paul; Sajid Pareeth. Graying, greening and fragmentation in the rapidly expanding Indian city of Bangalore. Landscape and Urban Planning 2012, 105, 400 -406.
AMA StyleHarini Nagendra, Suparsh Nagendran, Somajita Paul, Sajid Pareeth. Graying, greening and fragmentation in the rapidly expanding Indian city of Bangalore. Landscape and Urban Planning. 2012; 105 (4):400-406.
Chicago/Turabian StyleHarini Nagendra; Suparsh Nagendran; Somajita Paul; Sajid Pareeth. 2012. "Graying, greening and fragmentation in the rapidly expanding Indian city of Bangalore." Landscape and Urban Planning 105, no. 4: 400-406.
Ruth DeFries; Krithi K. Karanth; Sajid Pareeth. Interactions between protected areas and their surroundings in human-dominated tropical landscapes. Biological Conservation 2010, 143, 2870 -2880.
AMA StyleRuth DeFries, Krithi K. Karanth, Sajid Pareeth. Interactions between protected areas and their surroundings in human-dominated tropical landscapes. Biological Conservation. 2010; 143 (12):2870-2880.
Chicago/Turabian StyleRuth DeFries; Krithi K. Karanth; Sajid Pareeth. 2010. "Interactions between protected areas and their surroundings in human-dominated tropical landscapes." Biological Conservation 143, no. 12: 2870-2880.
While high expectations have been raised about the utility of high resolution satellite imagery for biodiversity assessment, there has been almost no empirical assessment of its use, particularly in the biodiverse tropics which represent a very challenging environment for such assessment challenge. This research evaluates the use of high spatial resolution (IKONOS) and medium spatial resolution (Landsat ETM+) satellite imagery for assessing vegetation diversity in a dry tropical forest in central India. Contrary to expectations, across multiple measures of plant distribution and diversity, the resolution of IKONOS data is too fine for the purpose of plant diversity assessment and Landsat imagery performs better.
Harini Nagendra; Duccio Rocchini; Rucha Ghate; Bhawna Sharma; Sajid Pareeth. Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images. Remote Sensing 2010, 2, 478 -496.
AMA StyleHarini Nagendra, Duccio Rocchini, Rucha Ghate, Bhawna Sharma, Sajid Pareeth. Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images. Remote Sensing. 2010; 2 (2):478-496.
Chicago/Turabian StyleHarini Nagendra; Duccio Rocchini; Rucha Ghate; Bhawna Sharma; Sajid Pareeth. 2010. "Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images." Remote Sensing 2, no. 2: 478-496.
In the tropics and sub-tropics, where high levels of biodiversity co-exist with some of the greatest levels of population density, achieving complete exclusion in protected area contexts has proved close to impossible. There is a clear need to recognize that parks are significantly impacted by human–environment interactions in the larger landscape within which they are embedded, and to move the frontier of research beyond the boundaries of protected areas in order to examine larger landscapes where multiple forms of ownership and access are embedded. This research evaluates forest change and fragmentation between 1990 and 2000, in a landscape surrounding the Mahananda Wildlife Sanctuary in the Indian state of West Bengal. This protected forest is bounded to the south by a less intensively protected area, the Baikunthapur Reserve Forest, and surrounded by a mosaic of unprotected, largely private land holdings. Results indicate differences in the extent and spatial pattern of forest cover change in these three zones, corresponding to different levels of government protection, access and monitoring. The two protected areas experience a trend toward forest regrowth, relating to the cessation of commercial logging by park management during this period. Yet, there is still substantial clearing toward peripheral areas that are well connected to illegal timber markets by transportation networks. The surrounding landscape, although experiencing some forest regrowth within less intensively cultivated tea plantations, is also becoming increasingly fragmented, with potentially critical impacts on the maintenance of effective wildlife corridors in this ecologically critical region.
Harini Nagendra; Somajita Paul; Sajid Pareeth; Sugato Dutt. Landscapes of Protection: Forest Change and Fragmentation in Northern West Bengal, India. Environmental Management 2009, 44, 853 -864.
AMA StyleHarini Nagendra, Somajita Paul, Sajid Pareeth, Sugato Dutt. Landscapes of Protection: Forest Change and Fragmentation in Northern West Bengal, India. Environmental Management. 2009; 44 (5):853-864.
Chicago/Turabian StyleHarini Nagendra; Somajita Paul; Sajid Pareeth; Sugato Dutt. 2009. "Landscapes of Protection: Forest Change and Fragmentation in Northern West Bengal, India." Environmental Management 44, no. 5: 853-864.
This study analyzes forest change in an area of Nepal that signifies a delicate balance between sustaining the needs and livelihood of a sizable human population dependent on forest products, and an effort to protect important wildlife and other natural resources. The study area, a portion of the Chitwan valley district of Nepal, represents what may be becoming a common institutional mosaic in many countries of the world who have a population reliant on forest products for their livelihood: (1) a national park; (2) a designated park buffer involving participatory forest management programs; (3) scattered patches of designated community forest; and (4) large areas of adjacent landscape made up of mostly private landholdings under agricultural practices. Utilizing Landsat images from 1989 and 2000, we analyze land cover change in each of these management zones using landscape ecology metrics and quantifying proportional distributions of land cover categories. Our results show significant differences in terms of land cover dynamics and landscape spatial pattern between these land ownership classes. These findings indicate that community-based institutions (participatory management programs in the park buffer and the designated community forests) are capable of halting or even reversing trends in deforestation and forest fragmentation.
Harini Nagendra; Sajid Pareeth; Bhawna Sharma; Charles M. Schweik; Keshav R. Adhikari. Forest fragmentation and regrowth in an institutional mosaic of community, government and private ownership in Nepal. Landscape Ecology 2007, 23, 41 -54.
AMA StyleHarini Nagendra, Sajid Pareeth, Bhawna Sharma, Charles M. Schweik, Keshav R. Adhikari. Forest fragmentation and regrowth in an institutional mosaic of community, government and private ownership in Nepal. Landscape Ecology. 2007; 23 (1):41-54.
Chicago/Turabian StyleHarini Nagendra; Sajid Pareeth; Bhawna Sharma; Charles M. Schweik; Keshav R. Adhikari. 2007. "Forest fragmentation and regrowth in an institutional mosaic of community, government and private ownership in Nepal." Landscape Ecology 23, no. 1: 41-54.
There has been extensive debate on the conservation impact of people located within protected\ud areas. In a tiger reserve in central India, we find that the densely populated villages located outside\ud the park boundary are better connected to regional markets by road networks, and are associated\ud with greater deforestation rates and more forest fragmentation compared to the more isolated\ud villages in the park interior. The park itself however appears well protected in terms of forest cover\ud and connectivity. Instead of focusing on resettlement of forest villages, forest protection needs may\ud be better served by working with these surrounding communities to develop alternate mechanisms\ud for income generation
Harini Nagendra; Sajid Pareeth; Rucha Ghate. People within parks—forest villages, land-cover change and landscape fragmentation in the Tadoba Andhari Tiger Reserve, India. Applied Geography 2006, 26, 96 -112.
AMA StyleHarini Nagendra, Sajid Pareeth, Rucha Ghate. People within parks—forest villages, land-cover change and landscape fragmentation in the Tadoba Andhari Tiger Reserve, India. Applied Geography. 2006; 26 (2):96-112.
Chicago/Turabian StyleHarini Nagendra; Sajid Pareeth; Rucha Ghate. 2006. "People within parks—forest villages, land-cover change and landscape fragmentation in the Tadoba Andhari Tiger Reserve, India." Applied Geography 26, no. 2: 96-112.