All Stories

  1. Estimates of global surface water dynamics harnessing near real-time land cover observations and open science geospatial capabilities
  2. Unveiling the Drivers of Unplanned Urbanization: A High-Resolution Night Light Development Index Approach for Assessing Regional Inequality and Urban Growth in Dhaka
  3. dciWebMapper: A Data‐Driven and Coordinated View‐Enabled Interactive Web Mapping Framework for Visualizing and Sensing High‐Dimensional Geospatial (Big) Data
  4. Wetland-mediated nitrate reductions attenuate downstream: Insights from a modeling study
  5. Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities
  6. HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
  7. Enhancing nighttime light remote Sensing: Introducing the nighttime light background value (NLBV) for urban applications
  8. A call for consistency and integration in global surface water estimates
  9. Confluence Simulations Based on Dynamic Channel Parameters in the Grasslands Lacking Historical Measurements
  10. The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot
  11. Sharing Work in Earth Engine: Basic UI and Apps
  12. Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine
  13. samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
  14. Mapping global non-floodplain wetlands
  15. River Basin Simulations Reveal Wide-Ranging Wetland-Mediated Nitrate Reductions
  16. Mapping Global Non-Floodplain Wetlands
  17. A Vegetation Nighttime Condition Index Derived From The Triangular Feature Space between Nighttime Light Intensity and Vegetation Index
  18. Multidimensional assessment of soil conservation ecosystem services and multiscale analysis of influencing mechanisms
  19. Novel atlas shows vast urban infrastructure divide between Global South and Global North
  20. Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
  21. Assessing the potential and utilization of solar energy at the building-scale in Shanghai
  22. Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing
  23. Vulnerable Waters are Essential to Watershed Resilience
  24. The Relationship Between Urban 2-D/3-D Landscape Pattern and Nighttime Light Intensity
  25. Evaluating the Ability of NOAA-20 Monthly Composite Data for Socioeconomic Indicators Estimation and Urban Area Extraction
  26. A Stepwise Minimum Spanning Tree Matching Method for Registering Vehicle-borne and Backpack LiDAR Point Clouds
  27. Ecohydrological Model for Grasslands Lacking Historical Measurements II: Confluence Simulations Based on Dynamic Channel Parameters
  28. The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset
  29. A monthly night-time light composite dataset of NOAA-20 in China: a multi-scale comparison with S-NPP
  30. Multidimensional Assessment of Lake Water Ecosystem Services Using Remote Sensing
  31. Improving global flood and drought predictions: integrating non-floodplain wetlands into watershed hydrologic models
  32. Wetland restoration yields dynamic nitrate responses across the Upper Mississippi river basin
  33. Ecohydrological Model for Grassland Lacking Historical Measurements I: Downscaling Evaporation Data Based on Dynamic Sensitive Parameters and Deep Learning
  34. Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
  35. Critical role of temporal contexts in evaluating urban cellular automata models
  36. A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data
  37. lidar: A Python package for delineating nested surface depressions from digital elevation data
  38. Fine-Resolution Mapping of Wetland Inundation Dynamics in the Prairie Pothole Region of the United States
  39. Multidimensional Assessment of Food Provisioning Ecosystem Services Using Remote Sensing and Agricultural Statistics
  40. Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine
  41. Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China
  42. rgee: An R package for interacting with Google Earth Engine
  43. geemap: A Python package for interactive mapping with Google Earth Engine
  44. A spatiotemporal structural graph for characterizing land cover changes
  45. Surface depression and wetland water storage improves major river basin hydrologic predictions
  46. Analyzing parcel-level relationships between Luojia 1-01 nighttime light intensity and artificial surface features across Shanghai, China: A comparison with NPP-VIIRS data
  47. Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017)
  48. Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
  49. Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine
  50. A dataset of 30 m annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States
  51. Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review
  52. A surface network based method for studying urban hierarchies by night time light remote sensing data
  53. A dataset of 30-meter annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States
  54. A dataset of 30-meter annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States
  55. Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations
  56. Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level-Set Method
  57. Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method
  58. Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory
  59. Urban Built-Up Area Extraction From Log-Transformed NPP-VIIRS Nighttime Light Composite Data
  60. GIS and Remote Sensing Applications in Wetland Mapping and Monitoring
  61. Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes
  62. An Extended Minimum Spanning Tree method for characterizing local urban patterns
  63. Automated delineation and characterization of drumlins using a localized contour tree approach
  64. GIS and Remote Sensing Applications in Wetland Mapping and Monitoring
  65. Analysis of water level variation of lakes and reservoirs in Xinjiang, China using ICESat laser altimetry data (2003–2009)
  66. Downscaling land surface temperature data by fusing Suomi NPP-VIIRS and landsat-8 TIR data
  67. Delineating wetland catchments and modeling hydrologic connectivity using lidar data and aerial imagery
  68. Comparison of Satellite Reflectance Algorithms for Estimating Phycocyanin Values and Cyanobacterial Total Biovolume in a Temperate Reservoir Using Coincident Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations
  69. Delineating wetland catchments and modeling hydrologic connectivity using LiDAR data and aerial imagery
  70. Delineating wetland catchments and modeling hydrologic connectivity using LiDAR data and aerial imagery
  71. A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds
  72. Delineating wetland catchments and modeling hydrologic connectivity using LiDAR data and aerial imagery
  73. A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing
  74. Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests
  75. A graph-based approach for assessing storm-induced coastal changes
  76. Automated delineation of karst sinkholes from LiDAR-derived digital elevation models
  77. Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations
  78. Evaluation of AMSR2 soil moisture products over the contiguous United States using in situ data from the International Soil Moisture Network
  79. Delineation and Quantification of Wetland Depressions in the Prairie Pothole Region of North Dakota
  80. Automated extraction of ground surface along urban roads from mobile laser scanning point clouds
  81. Prediction of Water Depth From Multispectral Satellite Imagery—The Regression Kriging Alternative
  82. A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographical data
  83. Improved Wetland Classification Using Eight-Band High Resolution Satellite Imagery and a Hybrid Approach
  84. An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery
  85. Classification and inventory of freshwater wetlands and aquatic habitats in the Selenga River Delta of Lake Baikal, Russia, using high-resolution satellite imagery
  86. Increasing summer river discharge in southern California, USA, linked to urbanization
  87. Contrasting Historical and Recent Breakup Styles on the Meade River of Arctic Alaska in the Context of a Warming Climate
  88. Assessment of storm-induced coastal morphologic changes and damage using repeat lidar remote sensing surveys
  89. Algorithmic Foundation and Software Tools for Extracting Shoreline Features from Remote Sensing Imagery and LiDAR Data
  90. An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes