All Stories

  1. External environmental factors shaping spatiotemporal patterns of bark beetle outbreaks in Central Mexico
  2. Long-Term Trajectory Analysis of Avocado Orchards in the Avocado Belt, Mexico
  3. Evaluación del uso de imágenes radar y multiespectrales con técnicas de aprendizaje profundo para monitorear la deforestación y la degradación forestal en bosques tropicales
  4. Mapping bioclimatic units of Oaxaca in Mexico: A systematic assessment
  5. Building a Methodological Reference Framework for Quantifying Tropical Deforestation with Remote Sensing
  6. Mapping spatiotemporal patterns of avocado expansion and land-use intensity in central Mexico and their effects on landscape connectivity
  7. A coupled cartographic approach between bioclimatology and vegetation formations of Mexico
  8. Everything's not lost: Caatinga areas under chronic disturbances still have well-preserved plant communities
  9. Estimación de la distribución espacial de los bosques perturbados en Chiapas, México, usando datos satelitales e información auxiliar
  10. Land Cover Patterns of Urban Lots and Their Contribution to Ecological Functions
  11. Comparación entre siete capas climáticas digitales para identificar áreas con alta precipitación anual en México (al menos 1,500 mm en promedio)
  12. Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica
  13. Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images
  14. Landsat data respond to variations in the structure of Caatinga plant communities along a successional gradient
  15. Cómo usar Google Earth Engine y no fallar en el intento
  16. Identifying Coffee Agroforestry System Types Using Multitemporal Sentinel-2 Data and Auxiliary Information
  17. Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages
  18. Spatial patterns and determinants of avocado frontier dynamics in Mexico
  19. Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level
  20. Mapping the spatial distribution of stand age and aboveground biomass from Landsat time series analyses of forest cover loss in tropical dry forests
  21. Species distribution modeling as an approach to studying the processes of landscape domestication in central southern Mexico
  22. Using satellite estimates of aboveground biomass to assess carbon stocks in a mixed-management, semi-deciduous tropical forest in the Yucatan Peninsula
  23. Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery
  24. Merged phytosociological and geographical approach for multiple scale vegetation mapping as a baseline for public environmental policy in Mexico
  25. Integrating farmers’ decisions on the assessment of forest regeneration drivers in a rural landscape of Southeastern Brazil
  26. Assessing Landsat Images Availability and Its Effects on Phenological Metrics
  27. Spatio-temporal dataset of COVID-19 outbreak in Mexico
  28. Stage 1 registered report: spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level
  29. Potential expansion of Hass avocado cultivation under climate change scenarios threatens Mexican mountain ecosystems
  30. Análise da disponibilidade de imagens Landsat e Sentinel para o Brasil
  31. An integrative analysis of threats affecting protected areas in a biodiversity stronghold in Southeast Mexico
  32. Patrones espaciotemporales de las observaciones de Sentinel-2 a nivel de imagen y píxel sobre el territorio mexicano entre 2015 y 2019
  33. Simulation of Land Use/Cover Change in the Kingdom of Calakmul During the Late Classic Period (AD 600–900)
  34. Degradación ambiental por procesos de cambios de uso y cubierta del suelo desde una perspectiva espacial en el estado de Guanajuato, México
  35. Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data
  36. Análisis del proceso de deforestación en el estado de Michoacán: de lo espacial a lo social
  37. Análisis del proceso de deforestación en el estado de Michoacán: de lo espacial a lo social
  38. Patrones espaciales asociados a la infestación comunitaria por vectores de la enfermedad de Chagas
  39. Patrones espaciales asociados a la infestación comunitaria por vectores de la enfermedad de Chagas
  40. Google Earth Engine (GEE): una poderosa herramienta que vincula el potencial de los datos masivos y la eficacia del procesamiento en la nube
  41. Advances in hyperspectral sensing in agriculture: a review
  42. Thematic accuracy of hotspots and wildfires in Michoacán, Mexico
  43. Variables Selection for Aboveground Biomass Estimations Using Satellite Data: A Comparison between Relative Importance Approach and Stepwise Akaike’s Information Criterion
  44. An expert knowledge approach for mapping vegetation cover based upon free access cartographic data: the Tehuacan-Cuicatlan Valley, Central Mexico
  45. Analysis of High Temporal Resolution Land Use/Land Cover Trajectories
  46. Comparison of techniques for missing lines reconstruction of RapidEye imagery
  47. Dimensión espacial de las decisiones sobre manejo de tierras. Un modelo de análisis
  48. Cloud geoprocessing of Sentinel-2 imagery provides an high-resolution map of protected agriculture
  49. Modeling anthropic factors as drivers of wildfire occurrence at the Monarch Butterfly Biosphere
  50. Holocene precipitation changes in the Maya forest, Yucatán peninsula, Mexico
  51. Assessing forest cover change in Mexico from annual MODIS VCF data (2000–2010)
  52. High overlap between traditional ecological knowledge and forest conservation found in the Bolivian Amazon
  53. Susceptibility to gravitational processes due to land cover change in the Río Chiquito-Barranca del Muerto subbasin (Pico De Orizaba Volcano, México)
  54. Cellular Automata in CA_MARKOV
  55. Cellular Automaton
  56. Fuzzy Coincidence
  57. Geomatic Approaches for Modeling Land Change Scenarios. An Introduction
  58. LUCC Modeling Approaches to Calibration
  59. Markov Chain
  60. Multilayer Perceptron (MLP)
  61. Receiver Operating Characteristic (ROC) Analysis
  62. Techniques for the Validation of LUCC Modeling Outputs
  63. The Simulation Stage in LUCC Modeling
  64. Weights of Evidence
  65. Evaluación de las tasas de deforestación en Michoacán a escala detallada mediante un método híbrido de clasificación de imágenes de percepción remota
  66. Land use/land cover change detection combining automatic processing and visual interpretation
  67. Application of Sentinel-2 data to forest monitoring
  68. Análisis jerárquico de la intensidad de cambio de cobertura/uso de suelo y deforestación (2000-2008) en la Reserva de la Biosfera Sierra de Manantlán, México
  69. Spatiotemporal modeling of fuelwood environmental impacts: Towards improved accounting for non-renewable biomass
  70. Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923–3943
  71. EVALUATION OF ANNUAL MODIS PTC DATA FOR DEFORESTATION AND FOREST DEGRADATION ANALYSIS
  72. Identifying Local Deforestation Patterns Using Geographically Weighted Regression Models
  73. Validation of MODIS Vegetation Continuous Fields for monitoring deforestation and forest degradation: two cases in Mexico
  74. Análisis y modelación de los procesos de deforestación: un caso de estudio en la cuenca del río Coyuquilla, Guerrero, México
  75. Modeling Historical Land Cover and Land Use: A Review fromContemporary Modeling
  76. CALIBRATING CELLULAR AUTOMATA OF LAND USE/COVER CHANGE MODELS USING A GENETIC ALGORITHM
  77. ASSESSING MODIFIABLE AREAL UNIT PROBLEM IN THE ANALYSIS OF DEFORESTATION DRIVERS USING REMOTE SENSING AND CENSUS DATA
  78. CHANGE DETECTION AND LAND USE / LAND COVER DATABASE UPDATING USING IMAGE SEGMENTATION, GIS ANALYSIS AND VISUAL INTERPRETATION
  79. Comparison of simulation models in terms of quantity and allocation of land change
  80. Benchmarking of LUCC modelling tools by various validation techniques and error analysis
  81. National level biomass database comparison for Mexico in relation to vegetation degradation stages
  82. Deforestation and land tenure in Mexico: A response to Bonilla-Moheno et al.
  83. Validation of MODIS vegetation continuous fields in two areas in Mexico
  84. Inductive pattern-based land use/cover change models: A comparison of four software packages
  85. Interest in intermediate soft-classified maps in land change model validation: suitability versus transition potential
  86. A Suite of Tools for ROC Analysis of Spatial Models
  87. Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico
  88. Land change modelling: moving beyond projections
  89. Land tenure and forest cover change. The case of southwestern Beni, Bolivian Amazon, 1986–2009
  90. Enhanced land use/cover classification of heterogeneous tropical landscapes using support vector machines and textural homogeneity
  91. Estimating the spatial distribution of woody biomass suitable for charcoal making from remote sensing and geostatistics in central Mexico
  92. Assessing simulated land use/cover maps using similarity and fragmentation indices
  93. Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest
  94. Land cover mapping applications with MODIS: a literature review
  95. Optimal region growing segmentation and its effect on classification accuracy
  96. Mapping land cover changes in Mexico, 1976-2000 and applications for guiding environmental management policy
  97. Accuracy assessment of the Mexican National Forest Inventory map: A study in four ecogeographical areas
  98. Trends of tropical deforestation in Southeast Mexico
  99. Sensitivity of landscape pattern metrics to classification approaches
  100. The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data
  101. Object-based image analysis for coal fire-related land cover mapping in coal mining areas
  102. The application of artificial neural networks to the analysis of remotely sensed data
  103. Land use / Land cover change dynamics in the Mexican highlands: current situation and long term scenarios
  104. Comparison of pixel‐based and object‐oriented image classification approaches—a case study in a coal fire area, Wuda, Inner Mongolia, China
  105. Change Estimates by Map Comparison: A Method to Reduce Erroneous Changes Due to Positional Error
  106. Assessing protected area effectiveness using surrounding (buffer) areas environmentally similar to the target area
  107. Assessing land use/cover changes: a nationwide multidate spatial database for Mexico
  108. Modelling deforestation using GIS and artificial neural networks
  109. Mapping land use/cover in a tropical coastal area using satellite sensor data, GIS and artificial neural networks
  110. Land use-cover change processes in highly biodiverse areas: the case of Oaxaca, Mexico
  111. Modalités de la déforestation dans le sud-ouest de l'État du Campeche, Mexique
  112. Une revue des méthodes et des techniques de télédétection du changement
  113. Land use scenarios: a communication tool with local communities