All Stories

  1. Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica
  2. Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images
  3. Cómo usar Google Earth Engine y no fallar en el intento
  4. Identifying Coffee Agroforestry System Types Using Multitemporal Sentinel-2 Data and Auxiliary Information
  5. Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages
  6. Spatial patterns and determinants of avocado frontier dynamics in Mexico
  7. Spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level
  8. Mapping the spatial distribution of stand age and aboveground biomass from Landsat time series analyses of forest cover loss in tropical dry forests
  9. Species distribution modeling as an approach to studying the processes of landscape domestication in central southern Mexico
  10. Using satellite estimates of aboveground biomass to assess carbon stocks in a mixed-management, semi-deciduous tropical forest in the Yucatan Peninsula
  11. Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery
  12. Merged phytosociological and geographical approach for multiple scale vegetation mapping as a baseline for public environmental policy in Mexico
  13. Integrating farmers’ decisions on the assessment of forest regeneration drivers in a rural landscape of Southeastern Brazil
  14. Assessing Landsat Images Availability and Its Effects on Phenological Metrics
  15. Spatio-temporal dataset of COVID-19 outbreak in Mexico
  16. Stage 1 registered report: spatiotemporal patterns of the COVID-19 epidemic in Mexico at the municipality level
  17. Potential expansion of Hass avocado cultivation under climate change scenarios threatens Mexican mountain ecosystems
  18. Análise da disponibilidade de imagens Landsat e Sentinel para o Brasil
  19. An integrative analysis of threats affecting protected areas in a biodiversity stronghold in Southeast Mexico
  20. Patrones espaciotemporales de las observaciones de Sentinel-2 a nivel de imagen y píxel sobre el territorio mexicano entre 2015 y 2019
  21. Simulation of Land Use/Cover Change in the Kingdom of Calakmul During the Late Classic Period (AD 600–900)
  22. Degradación ambiental por procesos de cambios de uso y cubierta del suelo desde una perspectiva espacial en el estado de Guanajuato, México
  23. Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data
  24. Análisis del proceso de deforestación en el estado de Michoacán: de lo espacial a lo social
  25. Análisis del proceso de deforestación en el estado de Michoacán: de lo espacial a lo social
  26. Patrones espaciales asociados a la infestación comunitaria por vectores de la enfermedad de Chagas
  27. Patrones espaciales asociados a la infestación comunitaria por vectores de la enfermedad de Chagas
  28. Google Earth Engine (GEE): una poderosa herramienta que vincula el potencial de los datos masivos y la eficacia del procesamiento en la nube
  29. Advances in hyperspectral sensing in agriculture: a review
  30. Thematic accuracy of hotspots and wildfires in Michoacán, Mexico
  31. Variables Selection for Aboveground Biomass Estimations Using Satellite Data: A Comparison between Relative Importance Approach and Stepwise Akaike’s Information Criterion
  32. An expert knowledge approach for mapping vegetation cover based upon free access cartographic data: the Tehuacan-Cuicatlan Valley, Central Mexico
  33. Analysis of High Temporal Resolution Land Use/Land Cover Trajectories
  34. Comparison of techniques for missing lines reconstruction of RapidEye imagery
  35. Dimensión espacial de las decisiones sobre manejo de tierras. Un modelo de análisis
  36. Cloud geoprocessing of Sentinel-2 imagery provides an high-resolution map of protected agriculture
  37. Modeling anthropic factors as drivers of wildfire occurrence at the Monarch Butterfly Biosphere
  38. Holocene precipitation changes in the Maya forest, Yucatán peninsula, Mexico
  39. Assessing forest cover change in Mexico from annual MODIS VCF data (2000–2010)
  40. High overlap between traditional ecological knowledge and forest conservation found in the Bolivian Amazon
  41. Susceptibility to gravitational processes due to land cover change in the Río Chiquito-Barranca del Muerto subbasin (Pico De Orizaba Volcano, México)
  42. Cellular Automata in CA_MARKOV
  43. Cellular Automaton
  44. Fuzzy Coincidence
  45. Geomatic Approaches for Modeling Land Change Scenarios. An Introduction
  46. LUCC Modeling Approaches to Calibration
  47. Markov Chain
  48. Multilayer Perceptron (MLP)
  49. Receiver Operating Characteristic (ROC) Analysis
  50. Techniques for the Validation of LUCC Modeling Outputs
  51. The Simulation Stage in LUCC Modeling
  52. Weights of Evidence
  53. Evaluación de las tasas de deforestación en Michoacán a escala detallada mediante un método híbrido de clasificación de imágenes de percepción remota
  54. Land use/land cover change detection combining automatic processing and visual interpretation
  55. Application of Sentinel-2 data to forest monitoring
  56. 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
  57. Spatiotemporal modeling of fuelwood environmental impacts: Towards improved accounting for non-renewable biomass
  58. 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
  59. EVALUATION OF ANNUAL MODIS PTC DATA FOR DEFORESTATION AND FOREST DEGRADATION ANALYSIS
  60. Identifying Local Deforestation Patterns Using Geographically Weighted Regression Models
  61. Validation of MODIS Vegetation Continuous Fields for monitoring deforestation and forest degradation: two cases in Mexico
  62. Análisis y modelación de los procesos de deforestación: un caso de estudio en la cuenca del río Coyuquilla, Guerrero, México
  63. Modeling Historical Land Cover and Land Use: A Review fromContemporary Modeling
  64. CALIBRATING CELLULAR AUTOMATA OF LAND USE/COVER CHANGE MODELS USING A GENETIC ALGORITHM
  65. ASSESSING MODIFIABLE AREAL UNIT PROBLEM IN THE ANALYSIS OF DEFORESTATION DRIVERS USING REMOTE SENSING AND CENSUS DATA
  66. CHANGE DETECTION AND LAND USE / LAND COVER DATABASE UPDATING USING IMAGE SEGMENTATION, GIS ANALYSIS AND VISUAL INTERPRETATION
  67. Comparison of simulation models in terms of quantity and allocation of land change
  68. Benchmarking of LUCC modelling tools by various validation techniques and error analysis
  69. National level biomass database comparison for Mexico in relation to vegetation degradation stages
  70. Deforestation and land tenure in Mexico: A response to Bonilla-Moheno et al.
  71. Validation of MODIS vegetation continuous fields in two areas in Mexico
  72. Inductive pattern-based land use/cover change models: A comparison of four software packages
  73. Interest in intermediate soft-classified maps in land change model validation: suitability versus transition potential
  74. A Suite of Tools for ROC Analysis of Spatial Models
  75. Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico
  76. Land change modelling: moving beyond projections
  77. Land tenure and forest cover change. The case of southwestern Beni, Bolivian Amazon, 1986–2009
  78. Enhanced land use/cover classification of heterogeneous tropical landscapes using support vector machines and textural homogeneity
  79. Estimating the spatial distribution of woody biomass suitable for charcoal making from remote sensing and geostatistics in central Mexico
  80. Assessing simulated land use/cover maps using similarity and fragmentation indices
  81. Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest
  82. Land cover mapping applications with MODIS: a literature review
  83. Optimal region growing segmentation and its effect on classification accuracy
  84. Mapping land cover changes in Mexico, 1976-2000 and applications for guiding environmental management policy
  85. Accuracy assessment of the Mexican National Forest Inventory map: A study in four ecogeographical areas
  86. Trends of tropical deforestation in Southeast Mexico
  87. Sensitivity of landscape pattern metrics to classification approaches
  88. The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data
  89. Object-based image analysis for coal fire-related land cover mapping in coal mining areas
  90. The application of artificial neural networks to the analysis of remotely sensed data
  91. Land use / Land cover change dynamics in the Mexican highlands: current situation and long term scenarios
  92. Comparison of pixel‐based and object‐oriented image classification approaches—a case study in a coal fire area, Wuda, Inner Mongolia, China
  93. Change Estimates by Map Comparison: A Method to Reduce Erroneous Changes Due to Positional Error
  94. Assessing protected area effectiveness using surrounding (buffer) areas environmentally similar to the target area
  95. Assessing land use/cover changes: a nationwide multidate spatial database for Mexico
  96. Modelling deforestation using GIS and artificial neural networks
  97. Mapping land use/cover in a tropical coastal area using satellite sensor data, GIS and artificial neural networks
  98. Land use-cover change processes in highly biodiverse areas: the case of Oaxaca, Mexico
  99. Modalités de la déforestation dans le sud-ouest de l'État du Campeche, Mexique
  100. Une revue des méthodes et des techniques de télédétection du changement
  101. Land use scenarios: a communication tool with local communities