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Prof. Lia Duarte
Earth Sciences Institute, Porto, Portugal

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0 GIS applications
0 Open Source Development
0 GIS and Remote Sensing
0 GIS and applications
0 GIS and Geospatial technology

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GIS and Remote Sensing
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GIS & Environmental Modelling

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Journal article
Published: 25 May 2021 in Land
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Soil erosion is a severe and complex issue in the agriculture area. The main objective of this study was to assess the soil loss in two regions, testing different methodologies and combining different factors of the Revised Universal Soil Loss Equation (RUSLE) based on Geographical Information Systems (GIS). To provide the methodologies to other users, a GIS open-source application was developed. The RUSLE equation was applied with the variation of some factors that compose it, namely the slope length and slope steepness (LS) factor and practices factor (P), but also with the use of different sources of information. Eight different erosion models (M1 to M8) were applied to the two regions with different ecological conditions: Montalegre (rainy-mountainous) and Alentejo (dry-flat), both in Portugal, to compare them and to evaluate the soil loss for 3 potential erosion levels: 0–25, 25–50 and >50 ton/ha·year. Regarding the methodologies, in both regions the behavior is similar, indicating that the M5 and M6 methodologies can be more conservative than the others (M1, M2, M3, M4 and M8), which present very consistent values in all classes of soil loss and for both regions. All methodologies were implemented in a GIS application, which is free and available under QGIS software.

ACS Style

Lia Duarte; Mário Cunha; Ana Teodoro. Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal. Land 2021, 10, 554 .

AMA Style

Lia Duarte, Mário Cunha, Ana Teodoro. Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal. Land. 2021; 10 (6):554.

Chicago/Turabian Style

Lia Duarte; Mário Cunha; Ana Teodoro. 2021. "Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal." Land 10, no. 6: 554.

Journal article
Published: 25 May 2021 in Environments
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The São Pedro da Cova waste pile (Porto, Portugal) is composed of coal mining residues that have been self-burning since 2005 and is located close to an inhabited area and social infrastructures, further adding to effects on the environment and human health. Therefore, there is a great interest in the environmental monitoring of this waste pile. This work describes an integrative multi-approach that allows the environmental monitoring of several parameters of the waste pile, applying several technologies. The temperature measurements were obtained by a thermal infrared (TIR) sensor on board an unmanned aerial vehicle (UAV) and supplemented with field measurements. In order to evaluate the altimetric variations, for each flight, a digital elevation model (DEM) was generated considering a multispectral sensor also on board the UAV. The hydrogeochemical characterization was performed through the analysis of groundwater and surface water samples, with and without the influence of mine drainage. The soil monitoring included the analysis of waste material as well as the surface soil in the surrounding area of the waste pile. All the data were analyzed and integrated in a geographical information system (GIS) open-source application. The adopted multi-approach methodology, given its intrinsic interdisciplinary character, has proven to be an effective way of encompassing the complexity of this type of environmental problem.

ACS Style

Ana Teodoro; Patrícia Santos; Jorge Espinha Marques; Joana Ribeiro; Catarina Mansilha; Armindo Melo; Lia Duarte; Cátia Rodrigues de Almeida; Deolinda Flores. An Integrated Multi-Approach to Environmental Monitoring of a Self-Burning Coal Waste Pile: The São Pedro da Cova Mine (Porto, Portugal) Study Case. Environments 2021, 8, 48 .

AMA Style

Ana Teodoro, Patrícia Santos, Jorge Espinha Marques, Joana Ribeiro, Catarina Mansilha, Armindo Melo, Lia Duarte, Cátia Rodrigues de Almeida, Deolinda Flores. An Integrated Multi-Approach to Environmental Monitoring of a Self-Burning Coal Waste Pile: The São Pedro da Cova Mine (Porto, Portugal) Study Case. Environments. 2021; 8 (6):48.

Chicago/Turabian Style

Ana Teodoro; Patrícia Santos; Jorge Espinha Marques; Joana Ribeiro; Catarina Mansilha; Armindo Melo; Lia Duarte; Cátia Rodrigues de Almeida; Deolinda Flores. 2021. "An Integrated Multi-Approach to Environmental Monitoring of a Self-Burning Coal Waste Pile: The São Pedro da Cova Mine (Porto, Portugal) Study Case." Environments 8, no. 6: 48.

Journal article
Published: 11 May 2021 in Agronomy
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In a precision agriculture context, the amount of geospatial data available can be difficult to interpret in order to understand the crop variability within a given terrain parcel, raising the need for specific tools for data processing and analysis. This is the case for data acquired from Unmanned Aerial Vehicles (UAV), in which the high spatial resolution along with data from several spectral wavelengths makes data interpretation a complex process regarding vegetation monitoring. Vegetation Indices (VIs) are usually computed, helping in the vegetation monitoring process. However, a crop plot is generally composed of several non-crop elements, which can bias the data analysis and interpretation. By discarding non-crop data, it is possible to compute the vigour distribution for a specific crop within the area under analysis. This article presents QVigourMaps, a new open source application developed to generate useful outputs for precision agriculture purposes. The application was developed in the form of a QGIS plugin, allowing the creation of vigour maps, vegetation distribution maps and prescription maps based on the combination of different VIs and height information. Multi-temporal data from a vineyard plot and a maize field were used as case studies in order to demonstrate the potential and effectiveness of the QVigourMaps tool. The presented application can contribute to making the right management decisions by providing indicators of crop variability, and the outcomes can be used in the field to apply site-specific treatments according to the levels of vigour.

ACS Style

Lia Duarte; Ana Teodoro; Joaquim Sousa; Luís Pádua. QVigourMap: A GIS Open Source Application for the Creation of Canopy Vigour Maps. Agronomy 2021, 11, 952 .

AMA Style

Lia Duarte, Ana Teodoro, Joaquim Sousa, Luís Pádua. QVigourMap: A GIS Open Source Application for the Creation of Canopy Vigour Maps. Agronomy. 2021; 11 (5):952.

Chicago/Turabian Style

Lia Duarte; Ana Teodoro; Joaquim Sousa; Luís Pádua. 2021. "QVigourMap: A GIS Open Source Application for the Creation of Canopy Vigour Maps." Agronomy 11, no. 5: 952.

Review
Published: 28 April 2021 in Geomatics
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The advent of Geographical Information Systems (GIS) has changed the way people think and interact with the world. The main objectives of this paper are: (i) to provide an overview of 10 years (2010–2020) regarding the creation/development of GIS open-source applications; and (ii) to evaluate the GIS open-source plugins for environmental science. In the first objective, we evaluate the publications regarding the development of GIS open-source geospatial software in the last 10 years, considering desktop, web GIS and mobile applications, so that we can analyze the impact of this type of application for different research areas. In the second objective, we analyze the development of GIS open-source applications in the field of environmental sciences (with more focus on QGIS plugins) in the last 10 years and discuss the applicability and usability of these GIS solutions in different environmental domains. A bibliometric analysis was performed using Web of Science database and VOSViewer software. We concluded that, in general, the development of GIS open-source applications has increased in the last 10 years, especially GIS mobile applications, since the big data and Internet of Things (IoT) era, which was expected given the new advanced technologies available in every area, especially in GIS.

ACS Style

Lia Duarte; Ana Teodoro. GIS Open-Source Plugins Development: A 10-Year Bibliometric Analysis on Scientific Literature. Geomatics 2021, 1, 206 -245.

AMA Style

Lia Duarte, Ana Teodoro. GIS Open-Source Plugins Development: A 10-Year Bibliometric Analysis on Scientific Literature. Geomatics. 2021; 1 (2):206-245.

Chicago/Turabian Style

Lia Duarte; Ana Teodoro. 2021. "GIS Open-Source Plugins Development: A 10-Year Bibliometric Analysis on Scientific Literature." Geomatics 1, no. 2: 206-245.

Journal article
Published: 14 April 2021 in ISPRS International Journal of Geo-Information
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Prevention quality indicators (PQIs) constitute a set of measures that can be combined with hospital inpatient data to identify the quality of care for ambulatory care sensitive conditions (ACSC). Geographical information system (GIS) web mapping and applications contribute to a better representation of PQI spatial distribution. Unlike many countries in the world, in Portugal, this type of application remains underdeveloped. The main objective of this work was to facilitate the assessment of geographical patterns and trends of health data in Portugal. Therefore, two innovative open source applications were developed. Leaflet Javascript Library, PostGIS, and GeoServer were used to create a web map application prototype. Python language was used to develop the GIS application. The geospatial assessment of geographical patterns of health data in Portugal can be obtained through a GIS application and a web map application. Both tools proposed allowed for an easy and intuitive assessment of geographical patterns and time trends of PQI values in Portugal, alongside other relevant health data, i.e., the location of health care facilities, which, in turn, showed some association between the location of facilities and quality of health care. However, in the future, more research is still required to map other relevant data, for more in-depth analyses.

ACS Style

Lia Duarte; Ana Teodoro; Mariana Lobo; João Viana; Vera Pinheiro; Alberto Freitas. An Open Source GIS Application for Spatial Assessment of Health Care Quality Indicators. ISPRS International Journal of Geo-Information 2021, 10, 264 .

AMA Style

Lia Duarte, Ana Teodoro, Mariana Lobo, João Viana, Vera Pinheiro, Alberto Freitas. An Open Source GIS Application for Spatial Assessment of Health Care Quality Indicators. ISPRS International Journal of Geo-Information. 2021; 10 (4):264.

Chicago/Turabian Style

Lia Duarte; Ana Teodoro; Mariana Lobo; João Viana; Vera Pinheiro; Alberto Freitas. 2021. "An Open Source GIS Application for Spatial Assessment of Health Care Quality Indicators." ISPRS International Journal of Geo-Information 10, no. 4: 264.

Journal article
Published: 11 January 2021 in Sustainability
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Landslides are one of the natural disasters that affect socioeconomic wellbeing. Accordingly, this work aimed to realize a landslide susceptibility map in the coastal district of Mostaganem (Western Algeria). For this purpose, we applied a knowledge-driven approach and the Analytical Hierarchy Process (AHP) in a Geographical Information System (GIS) environment. We combined landslide-controlling parameters, such as lithology, slope, aspect, land use, curvature plan, rainfall, and distance to stream and to fault, using two GIS tools: the Raster calculator and the Weighted Overlay Method (WOM). Locations with elevated landslide susceptibility were close the urban nucleus and to a national road (RN11); in both sites, we registered the presence of strong water streams. The quality of the modeled maps has been verified using the ground truth landslide map and the Area Under Curve (AUC) of the Receiver Operating Characteristic curve (ROC). The study results confirmed the excellent reliability of the produced maps. In this regard, validation based on the ROC indicates an accuracy of 0.686 for the map produced using a knowledge-driven approach. The map produced using the AHP combined with the WOM showed high accuracy (0.753).

ACS Style

Rachida Senouci; Nasr-Eddine Taibi; Ana Teodoro; Lia Duarte; Hamidi Mansour; Rabia Meddah. GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria. Sustainability 2021, 13, 630 .

AMA Style

Rachida Senouci, Nasr-Eddine Taibi, Ana Teodoro, Lia Duarte, Hamidi Mansour, Rabia Meddah. GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria. Sustainability. 2021; 13 (2):630.

Chicago/Turabian Style

Rachida Senouci; Nasr-Eddine Taibi; Ana Teodoro; Lia Duarte; Hamidi Mansour; Rabia Meddah. 2021. "GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria." Sustainability 13, no. 2: 630.

Journal article
Published: 12 November 2020 in International Journal of Environmental Research and Public Health
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Preventable hospitalizations due to complications of diabetes mellitus (DM), represented by the related prevention quality indicators (PQI), are ambulatory care-sensitive conditions that can be prevented and controlled through effective primary health care (PHC) treatment. It is important to reduce mortality and promote the quality of life to diabetic patients in regions with higher hospitalization rates. The study aims to analyze the results of the DM age-sex-adjusted PQI, by groups of health centers (ACES), distributed in the Portuguese territory. The most representative PQI at a national level were identified, and the trends were mapped and analyzed. Also, it presents the ACES with the highest age-adjusted rates of avoidable hospitalizations for DM. The absolute number of preventable hospitalizations for all DM complications in Portugal has decreased by 20%, thus passing from the rate of 79 in 2016 to 65.2/100,000 inhabitants in 2017. Despite the improvement in results for PQI 03, 20 of 48 ACES that were above the national 2017 median rate in 2016, achieved better results the following year, and for the overall preventable diabetes hospitalizations (PQI 93) only 11 out 39, revealing the need for further studies and PHC actions to improve the diabetic quality of life.

ACS Style

Andre Ramalho; Mariana Lobo; Lia Duarte; Julio Souza; Paulo Santos; Alberto Freitas. Landscapes on Prevention Quality Indicators: A Spatial Analysis of Diabetes Preventable Hospitalizations in Portugal (2016–2017). International Journal of Environmental Research and Public Health 2020, 17, 8387 .

AMA Style

Andre Ramalho, Mariana Lobo, Lia Duarte, Julio Souza, Paulo Santos, Alberto Freitas. Landscapes on Prevention Quality Indicators: A Spatial Analysis of Diabetes Preventable Hospitalizations in Portugal (2016–2017). International Journal of Environmental Research and Public Health. 2020; 17 (22):8387.

Chicago/Turabian Style

Andre Ramalho; Mariana Lobo; Lia Duarte; Julio Souza; Paulo Santos; Alberto Freitas. 2020. "Landscapes on Prevention Quality Indicators: A Spatial Analysis of Diabetes Preventable Hospitalizations in Portugal (2016–2017)." International Journal of Environmental Research and Public Health 17, no. 22: 8387.

Conference paper
Published: 20 September 2020 in Earth Resources and Environmental Remote Sensing/GIS Applications XI
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The São Pedro da Cova coal mine, in Gondomar (Portugal), left a substantial ecological footprint in the form of a 28,000 m2 waste pile. This waste pile has been undergoing continuous self-combustion since 2005, leading to the mobilization of pollutants. As a result, it is of vital importance to monitor the condition and evolution of the waste pile, to assess the current and potential risks posed to the inhabitants and to propose adequate mitigation measures. To evaluate and monitor the waste pile surface soil movements, a comparison between different digital elevation models (DEM) was performed. The DEMs were obtained from photogrammetric processing of data collected by different sensors onboard of an unmanned aerial vehicle (UAV). As preliminary results, the waste pile seems to be suffering a generalized topographic recession, verified by the elevation decrease on multiple monitoring points, this effect may be caused by soil erosion or subsidence, potentially caused by the coal fires that have been active in this waste pile. As part of a larger evaluation of the study area within the CoalMine Project, which includes geochemical soil and water analysis, as well as, monitoring of the surface temperatures, the current assessment of soil movement provides crucial insight into the movement and deposit of soil in addition to the potential contaminants present in its composition.

ACS Style

Ana Claudia Moreira Teodoro; João Fernandes; Patricia Santos; Lia Duarte; Jóse Alberto Gonçalves; Deolinda Flores. Monitoring of soil movement in a self-burning coal waste pile with UAV imagery. Earth Resources and Environmental Remote Sensing/GIS Applications XI 2020, 11534, 115340O .

AMA Style

Ana Claudia Moreira Teodoro, João Fernandes, Patricia Santos, Lia Duarte, Jóse Alberto Gonçalves, Deolinda Flores. Monitoring of soil movement in a self-burning coal waste pile with UAV imagery. Earth Resources and Environmental Remote Sensing/GIS Applications XI. 2020; 11534 ():115340O.

Chicago/Turabian Style

Ana Claudia Moreira Teodoro; João Fernandes; Patricia Santos; Lia Duarte; Jóse Alberto Gonçalves; Deolinda Flores. 2020. "Monitoring of soil movement in a self-burning coal waste pile with UAV imagery." Earth Resources and Environmental Remote Sensing/GIS Applications XI 11534, no. : 115340O.

Conference paper
Published: 20 September 2020 in Earth Resources and Environmental Remote Sensing/GIS Applications XI
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Spatial thinking can be defined as the knowledge about spatial concepts (e.g. location, direction, and scale) applicable on the description, analysis and problems solving in several contexts, such as Geographical Information System (GIS). Students from two Curricular Units (CU) and from 6 different background areas solved a test, named Spatial Thinking Ability Test (STAT), composed by questions about logic, spatial thinking, and geographical reasoning, regarding the GIS context. The aim of this study is to evaluate: i) the differences in knowledge, logical and geographical reasoning of the students and, (ii) the spatial thinking of students in the different areas. The test was applied to 83 students at the beginning and at the end of the semester (that is, respectively before and after students' contact with the concepts taught in the referred CUs). This study presents itself as a support methodology to pedagogical didactics that have been implemented in the CUs where it is intended to provide the domain of computer tools for manipulation and analysis of geographical information. Also, it will contribute to improve the learning of students, and will help teachers in a more effective, interdisciplinary and targeted management of knowledge within the scope of CUs, and to guide the syllabus and didactics for learning that must be guaranteed to all students. The responses were analyzed in the Statistical Package for the Social Sciences (SPSS) software. The analysis of the test results will allow to direct the contents considering the level of students in spatial and geographical reasoning.

ACS Style

Lia Duarte; Ana Claudia Teodoro. Evaluation of the didactic potential of geographical information contents considering Spatial Thinking Ability Test (STAT). Earth Resources and Environmental Remote Sensing/GIS Applications XI 2020, 11534, 1153415 .

AMA Style

Lia Duarte, Ana Claudia Teodoro. Evaluation of the didactic potential of geographical information contents considering Spatial Thinking Ability Test (STAT). Earth Resources and Environmental Remote Sensing/GIS Applications XI. 2020; 11534 ():1153415.

Chicago/Turabian Style

Lia Duarte; Ana Claudia Teodoro. 2020. "Evaluation of the didactic potential of geographical information contents considering Spatial Thinking Ability Test (STAT)." Earth Resources and Environmental Remote Sensing/GIS Applications XI 11534, no. : 1153415.

Conference paper
Published: 01 January 2020 in Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management
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ACS Style

Lia Duarte; M. Lobo; J. Viana; A. Freitas; A. Teodoro. A GIS Open Source Application to Perform the Spatial Distribution of Prevention Quality Indicators (PQIs). Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management 2020, 129 -134.

AMA Style

Lia Duarte, M. Lobo, J. Viana, A. Freitas, A. Teodoro. A GIS Open Source Application to Perform the Spatial Distribution of Prevention Quality Indicators (PQIs). Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management. 2020; ():129-134.

Chicago/Turabian Style

Lia Duarte; M. Lobo; J. Viana; A. Freitas; A. Teodoro. 2020. "A GIS Open Source Application to Perform the Spatial Distribution of Prevention Quality Indicators (PQIs)." Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management , no. : 129-134.

Conference paper
Published: 03 October 2019 in Earth Resources and Environmental Remote Sensing/GIS Applications X
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Soil erosion constitute a major threat to human lives and assets worldwide, as well as a major environmental disturbance. The Revised Universal Soil Loss Equation (RUSLE) integrated with Geographical Information System (GIS) has been the most widely used model in predicting and mapping soil erosion loss. Remote sensing has particular utility for soil loss model applications, providing observations on several key aspects of Land use and Land cover (LULC) linked to the cover-management factor C of the RUSLE, over wide areas and in consistent and repeatable measurements. A free and open source GIS application coupled with remote sensing data was developed under QGIS software allowing to improve the C factor functionality: (i) automatically download satellite images; (ii) clip with the study case and; (ii) perform a supervised or unsupervised classification, in order to obtain the land cover classification and produce the final C map. One of the most efficient supervised classification algorithms is the Support Vector Machine (SVM). Random Forest (RF) is also an easy-to-use machine learning algorithm for supervised classification. The automation of this functionality was based in the R and SAGA software, both integrated in QGIS. To perform the supervised classification, SVM and RF methods were incorporated. The overall accuracy and Kappa values are also automatically obtained by the R script and GRASS algorithms, which allows to evaluate the result obtained. To perform the unsupervised classification K-means algorithm from SAGA was used. This updating in RUSLE application improve the results obtained for C factor and help us to obtain a most accurate estimation of RUSLE erosion risk map. The application was tested using Sentinel 2A images in two different periods, after and before the forest fire event in Coimbra region, Portugal. In the end, the three resulted maps from SVM, RF and K-means classification were compared.

ACS Style

Lia Duarte; Ana Teodoro; Mario Cunha. A semi-automatic approach to derive land cover classification in soil loss models. Earth Resources and Environmental Remote Sensing/GIS Applications X 2019, 11156, 111560B .

AMA Style

Lia Duarte, Ana Teodoro, Mario Cunha. A semi-automatic approach to derive land cover classification in soil loss models. Earth Resources and Environmental Remote Sensing/GIS Applications X. 2019; 11156 ():111560B.

Chicago/Turabian Style

Lia Duarte; Ana Teodoro; Mario Cunha. 2019. "A semi-automatic approach to derive land cover classification in soil loss models." Earth Resources and Environmental Remote Sensing/GIS Applications X 11156, no. : 111560B.

Journal article
Published: 21 July 2019 in Environments
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Groundwater is a crucial natural resource for regular socio-economic function. Groundwater vulnerability to pollution can be assessed through Geographical Information System (GIS)-based qualitative methods. GIS-based tools, dedicated to the assessment of groundwater vulnerability, usually present several limitations, such as high cost, unavailable code, and a lack of functionality concerning the flexible application of vulnerability indices and vulnerability map comparison. The objective of this work was to create a new GIS-based open source application for groundwater vulnerability assessment, GVTool, developed using QGIS software, with the capability of creating and comparing groundwater vulnerability maps considering four different methods: DRASTIC, GOD, SINTACS, and Susceptibility Index (SI). This application incorporates features from a previous tool, DRASTIC Model, and new functionalities were included, namely three additional vulnerability assessment methods, map comparative analysis, map statistics, and index interval reclassification and symbology definition. The GVTool functionalities and capabilities are illustrated through a groundwater vulnerability assessment in Serra da Estrela mountain (Central Portugal). GVTool is mostly useful in integrated assessments, helping to verify if the groundwater vulnerability maps are accurate and to decide which is the most suitable method or the combination of methods to express groundwater vulnerability to pollution in a specific area.

ACS Style

Lia Duarte; Jorge Espinha Marques; Ana Cláudia Teodoro. An Open Source GIS-Based Application for the Assessment of Groundwater Vulnerability to Pollution. Environments 2019, 6, 86 .

AMA Style

Lia Duarte, Jorge Espinha Marques, Ana Cláudia Teodoro. An Open Source GIS-Based Application for the Assessment of Groundwater Vulnerability to Pollution. Environments. 2019; 6 (7):86.

Chicago/Turabian Style

Lia Duarte; Jorge Espinha Marques; Ana Cláudia Teodoro. 2019. "An Open Source GIS-Based Application for the Assessment of Groundwater Vulnerability to Pollution." Environments 6, no. 7: 86.

Proceedings article
Published: 10 October 2018 in Remote Sensing for Agriculture, Ecosystems, and Hydrology XX
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Forests are dynamic, complex and multidimensional ecosystems and play an irreplaceable role in social, economic, environmental, ecological and cultural context. Eucalyptus is the most common exotic species in Portugal forests. This species is fundamental in the industries related to the pulp paper production and the concern about their effects in ecosystems is growing. Geographical Information Systems (GIS) combined with Remote Sensing (RS) data can help to understand this complex ecosystem. Moreover, GIS and RS are commonly used in forest management. GIS allows the manipulation, analysis, and generation of considerable amounts of environmental information. This information can be used in the evaluation of ecosystems’ conditions and for decision making. The study case of this project was the municipal lands included in “Serras do Porto” and Valongo’s Nature 2000 network (Porto district, Portugal). The study zone considered in this work is a landscape of extreme relevance to Porto Metropolitan Area. For decades this area was extensively explored with eucalyptus plantations in order to produce cellulose for paper industry. Due to the characteristics of the area and its extension (40 hectares) the use of GIS became the most accurate and reliable alternative to characterize it. The combination of GIS tools and RS data allows the characterization of terrain relief, namely the analysis of altimetry, hypsometry, hydrography, the creation of environmental indexes such as Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Normalized Difference Water Index (NDWI), and the Digital Elevation Model (DEM). RS technology offer the potential to explore the effects of land-use changes and disturbances on forest dynamics at large spatial scales. A Sentinel-2A image was used to produce NDVI, EVI, and NDWI environmental indexes and to generate the Land Use Land Cover (LULC) map, through Semi-Automatic Classification Plugin from QGIS software using Minimum Distance algorithm. The LULC was classified with two classes because the study area only presents two types of species: eucalyptus and bare soil. The LULC map obtained was validated through field points collected in the study area with a GPS receptor. An overall accuracy of 92.98% and a kappa statistic of 0.842 was obtained. Also, some of the geographic information obtained in the field was then integrated in QGIS software. Moreover, a phenological study was performed using NDVI values obtained from Sentinel-2A images, to understand the eucalyptus behavior in a certain period of time.. Because of that RS data provided useful information about the landscape dynamics allowing the assess to forest cover change and land use helping to create decision making plans and forest conservation measures.

ACS Style

Ana Teodoro; Lia Duarte; Rubim Almeida; Sara Mendes. Remote sensing and GIS combination to evaluate the ecosystems' conditions in "Serras do Porto". Remote Sensing for Agriculture, Ecosystems, and Hydrology XX 2018, 10783, 107832E .

AMA Style

Ana Teodoro, Lia Duarte, Rubim Almeida, Sara Mendes. Remote sensing and GIS combination to evaluate the ecosystems' conditions in "Serras do Porto". Remote Sensing for Agriculture, Ecosystems, and Hydrology XX. 2018; 10783 ():107832E.

Chicago/Turabian Style

Ana Teodoro; Lia Duarte; Rubim Almeida; Sara Mendes. 2018. "Remote sensing and GIS combination to evaluate the ecosystems' conditions in "Serras do Porto"." Remote Sensing for Agriculture, Ecosystems, and Hydrology XX 10783, no. : 107832E.

Proceedings article
Published: 09 October 2018 in Earth Resources and Environmental Remote Sensing/GIS Applications IX
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Fluvial terraces are significant geomorphological features justifying the presence of rivers at high altitudes and constitutes the remains of the old river along the valleys, qualifying their incision capacity. Fill terraces can preserve lithic artefacts of Paleolithic communities that used the terrace clasts as raw material to manufacture their stone tools. The identification of fluvial terraces from cartography (analogical or digital) is based on different techniques and methods. Geographical Information Systems (GIS) has been used for the detection and identification of these fluvial geomorphologic features. Digital Elevation Model (DEM) derived from airborne Light Detection And Ranging (LiDAR) and slope-derived are the most used in the literature. The use of Remote Sensing (RS) data provides detailed information about the surface features, so it can be very useful to help in the identification of fluvial terraces. Recently, along the fluvial terraces of Minho river (border between Spain and Portugal), a significant amount of Paleolithic artefacts was found. The objective of this work was to study different approaches combining GIS and RS data to identify fluvial terraces and define the staircase levels along the Minho river valley. An approach was tested on the Minho River based on DEM and several auxiliary parameters. The analysis was based on several maps, such as DEM, slope, Normalized Difference Vegetation Index (NDVI), Land Use Land Cover (LULC) and hydrological data. The data were in WGS84 UTM zone 29 (EPSG:32629) and the spatial resolution adopted was 10 meters. Different scenarios were tested and validated in order to find the best methodology.

ACS Style

Lia Duarte; Alberto Gomes; Ana Teodoro; Sérgio Monteiro Rodrigues. GIS and remote sensing based method to extract fluvial terraces for archaeological purposes. Earth Resources and Environmental Remote Sensing/GIS Applications IX 2018, 10790, 1079006 .

AMA Style

Lia Duarte, Alberto Gomes, Ana Teodoro, Sérgio Monteiro Rodrigues. GIS and remote sensing based method to extract fluvial terraces for archaeological purposes. Earth Resources and Environmental Remote Sensing/GIS Applications IX. 2018; 10790 ():1079006.

Chicago/Turabian Style

Lia Duarte; Alberto Gomes; Ana Teodoro; Sérgio Monteiro Rodrigues. 2018. "GIS and remote sensing based method to extract fluvial terraces for archaeological purposes." Earth Resources and Environmental Remote Sensing/GIS Applications IX 10790, no. : 1079006.

Journal article
Published: 06 June 2018 in Education Sciences
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Education, together with science and technology, is the main driver of the progress and transformations of a country. The use of new technologies of learning can be applied to the classroom. Computer learning supports meaningful and long-term learning. Therefore, in the era of digital society and environmental issues, a relevant role is provided by open source software and free data that promote universality of knowledge. Earth observation (EO) data and remote sensing technologies are increasingly used to address the sustainable development goals. An important step for a full exploitation of this technology is to guarantee open software supporting a more universal use. The development of image processing plugins, which are able to be incorporated in Geographical Information System (GIS) software, is one of the strategies used on that front. The necessity of an intuitive and simple application, which allows the students to learn remote sensing, leads us to develop a GIS open source tool, which is integrated in an open source GIS software (QGIS), in order to automatically process and classify remote sensing images from a set of satellite input data. The application was tested in Vila Nova de Gaia municipality (Porto, Portugal) and Aveiro district (Portugal) considering Landsat 8 Operational Land Imager (OLI) data.

ACS Style

Rui Correia; Lia Duarte; Ana Cláudia Teodoro; Antonio Monteiro. Processing Image to Geographical Information Systems (PI2GIS)—A Learning Tool for QGIS. Education Sciences 2018, 8, 83 .

AMA Style

Rui Correia, Lia Duarte, Ana Cláudia Teodoro, Antonio Monteiro. Processing Image to Geographical Information Systems (PI2GIS)—A Learning Tool for QGIS. Education Sciences. 2018; 8 (2):83.

Chicago/Turabian Style

Rui Correia; Lia Duarte; Ana Cláudia Teodoro; Antonio Monteiro. 2018. "Processing Image to Geographical Information Systems (PI2GIS)—A Learning Tool for QGIS." Education Sciences 8, no. 2: 83.

Journal article
Published: 01 May 2018 in Computers and Electronics in Agriculture
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Lia Duarte; Ana Teodoro; Antonio Monteiro; Mario Cunha; Hernâni Gonçalves. QPhenoMetrics: An open source software application to assess vegetation phenology metrics. Computers and Electronics in Agriculture 2018, 148, 82 -94.

AMA Style

Lia Duarte, Ana Teodoro, Antonio Monteiro, Mario Cunha, Hernâni Gonçalves. QPhenoMetrics: An open source software application to assess vegetation phenology metrics. Computers and Electronics in Agriculture. 2018; 148 ():82-94.

Chicago/Turabian Style

Lia Duarte; Ana Teodoro; Antonio Monteiro; Mario Cunha; Hernâni Gonçalves. 2018. "QPhenoMetrics: An open source software application to assess vegetation phenology metrics." Computers and Electronics in Agriculture 148, no. : 82-94.

Technical note
Published: 14 March 2018 in ISPRS International Journal of Geo-Information
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Unmanned Aerial Vehicle (UAV) imagery allows for a new way of obtaining geographic information. In this work, a Geographical Information System (GIS) open source application was developed in QGIS software that estimates several parameters and metrics on tree crown through image analysis techniques (image segmentation and image classification) and fractal analysis. The metrics that have been estimated were: area, perimeter, number of trees, distance between trees, and a missing tree check. This methodology was tested on three different plantations: olive, eucalyptus, and vineyard. The application developed is free, open source and takes advantage of QGIS integration with external software. Several tools available from Orfeo Toolbox and Geographic Resources Analysis Support System (GRASS) GIS were employed to generate a classified raster image which allows calculating the metrics referred before. The application was developed in the Python 2.7 language. Also, some functions, modules, and classes from the QGIS Application Programming Interface (API) and PyQt4 API were used. This new plugin is a valuable tool, which allowed for automatizing several parameters and metrics on tree crown using GIS analysis tools, while considering data acquired by UAV.

ACS Style

Lia Duarte; Pedro Silva; Ana Cláudia Teodoro. Development of a QGIS Plugin to Obtain Parameters and Elements of Plantation Trees and Vineyards with Aerial Photographs. ISPRS International Journal of Geo-Information 2018, 7, 109 .

AMA Style

Lia Duarte, Pedro Silva, Ana Cláudia Teodoro. Development of a QGIS Plugin to Obtain Parameters and Elements of Plantation Trees and Vineyards with Aerial Photographs. ISPRS International Journal of Geo-Information. 2018; 7 (3):109.

Chicago/Turabian Style

Lia Duarte; Pedro Silva; Ana Cláudia Teodoro. 2018. "Development of a QGIS Plugin to Obtain Parameters and Elements of Plantation Trees and Vineyards with Aerial Photographs." ISPRS International Journal of Geo-Information 7, no. 3: 109.

Journal article
Published: 28 November 2017 in Remote Sensing
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A mixed methods bibliometric analysis was performed to ascertain the characteristic of scientific literature published in a 10-year period (2007–2016) regarding the application of remote sensing data in human health. A search was performed on the Scopus database, followed by manual revision using synthesis studies’ techniques, requiring the authors to sort through more than 8000 medical concepts to create the query, and to manually select relevant papers from over 2000 documents. From the initial 2752 papers identified, 520 articles were selected for analysis, showing that the United States ranked first, with a total of 250 (48.1% of the total) documents, followed by France and the United Kingdom, with 67 (12.9% of the total) and 54 (10.4% of the total) documents, respectively. When considering authorship, the top three authors were Vounatsou P (22 articles), Utzinger J (19 articles), and Vignolles C (13 articles). Regarding disease-specific keywords, malaria, dengue, and schistosomiasis were the most frequent keywords, occurring 142, 34, and 24 times, respectively. For some infectious diseases and other highly pathogenic or emerging infectious diseases, remote sensing has become a very powerful instrument. Also, several studies relate different environmental factors retrieved by remote sensing data with other diseases, such as asthma exacerbations. Health-related remote sensing publications are increasing and this paper highlights the importance of these related technologies toward better information and, ideally, better provision of healthcare. On the other hand, this paper provides an overall picture of the state of the research regarding the application of remote sensing data in human health and identifies the most active stakeholders e.g., authors and institutions in the field, informing possible new collaboration research groups.

ACS Style

João Viana; João Vasco Santos; Rui Manuel Neiva; Júlio Souza; Lia Duarte; Ana Teodoro; Alberto Freitas. Remote Sensing in Human Health: A 10-Year Bibliometric Analysis. Remote Sensing 2017, 9, 1225 .

AMA Style

João Viana, João Vasco Santos, Rui Manuel Neiva, Júlio Souza, Lia Duarte, Ana Teodoro, Alberto Freitas. Remote Sensing in Human Health: A 10-Year Bibliometric Analysis. Remote Sensing. 2017; 9 (12):1225.

Chicago/Turabian Style

João Viana; João Vasco Santos; Rui Manuel Neiva; Júlio Souza; Lia Duarte; Ana Teodoro; Alberto Freitas. 2017. "Remote Sensing in Human Health: A 10-Year Bibliometric Analysis." Remote Sensing 9, no. 12: 1225.

Proceedings article
Published: 05 October 2017 in Earth Resources and Environmental Remote Sensing/GIS Applications VIII
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Ana Teodoro; Lia Duarte; Rui Correia. PI2GIS: processing image to geographical information systems, a learning tool for QGIS. Earth Resources and Environmental Remote Sensing/GIS Applications VIII 2017, 53 .

AMA Style

Ana Teodoro, Lia Duarte, Rui Correia. PI2GIS: processing image to geographical information systems, a learning tool for QGIS. Earth Resources and Environmental Remote Sensing/GIS Applications VIII. 2017; ():53.

Chicago/Turabian Style

Ana Teodoro; Lia Duarte; Rui Correia. 2017. "PI2GIS: processing image to geographical information systems, a learning tool for QGIS." Earth Resources and Environmental Remote Sensing/GIS Applications VIII , no. : 53.

Review
Published: 16 September 2017 in Applied Sciences
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The combustion of coal wastes resulting from mining is of particular environmental concern, and the importance of proper management involving real-time assessment of their status and identification of probable evolution scenarios is recognized. Continuous monitoring of the combustion temperature and emission levels of certain gases allows for the possibility of planning corrective actions to minimize their negative impact on the surroundings. Optical fiber technology is well suited to this purpose and here we describe the main attributes and results obtained from a fiber optic sensing system projected to gather data on distributed temperature and gas emissions in these harsh environments.

ACS Style

Joana Ribeiro; Duarte Viveiros; João Ferreira; Alexia Lopez-Gil; Alejandro Dominguez-Lopez; Hugo Martins; Rosa Perez-Herrera; Aitor Lopez-Aldaba; Lia Duarte; Ana Pinto; Sonia Martin-Lopez; Hardy Baierl; Raphael Jamier; Sébastien Rougier; Jean-Louis Auguste; Ana Teodoro; Jose Gonçalves; Oscar Esteban; José Luís Santos; Philippe Roy; Manuel Lopez-Amo; Miguel Gonzalez-Herraez; José Manuel Baptista; Deolinda Flores. ECOAL Project—Delivering Solutions for Integrated Monitoring of Coal-Related Fires Supported on Optical Fiber Sensing Technology. Applied Sciences 2017, 7, 956 .

AMA Style

Joana Ribeiro, Duarte Viveiros, João Ferreira, Alexia Lopez-Gil, Alejandro Dominguez-Lopez, Hugo Martins, Rosa Perez-Herrera, Aitor Lopez-Aldaba, Lia Duarte, Ana Pinto, Sonia Martin-Lopez, Hardy Baierl, Raphael Jamier, Sébastien Rougier, Jean-Louis Auguste, Ana Teodoro, Jose Gonçalves, Oscar Esteban, José Luís Santos, Philippe Roy, Manuel Lopez-Amo, Miguel Gonzalez-Herraez, José Manuel Baptista, Deolinda Flores. ECOAL Project—Delivering Solutions for Integrated Monitoring of Coal-Related Fires Supported on Optical Fiber Sensing Technology. Applied Sciences. 2017; 7 (9):956.

Chicago/Turabian Style

Joana Ribeiro; Duarte Viveiros; João Ferreira; Alexia Lopez-Gil; Alejandro Dominguez-Lopez; Hugo Martins; Rosa Perez-Herrera; Aitor Lopez-Aldaba; Lia Duarte; Ana Pinto; Sonia Martin-Lopez; Hardy Baierl; Raphael Jamier; Sébastien Rougier; Jean-Louis Auguste; Ana Teodoro; Jose Gonçalves; Oscar Esteban; José Luís Santos; Philippe Roy; Manuel Lopez-Amo; Miguel Gonzalez-Herraez; José Manuel Baptista; Deolinda Flores. 2017. "ECOAL Project—Delivering Solutions for Integrated Monitoring of Coal-Related Fires Supported on Optical Fiber Sensing Technology." Applied Sciences 7, no. 9: 956.