Remote Sensing of Environment volume 229
Đang tải...
Xem mô tả
0
Xem & Tải
0
Tóm tắt
19 A cloud detection algorithm for satellite imagery based on deep learning; 20 Coastline extraction from repeat high resolution satellite imagery.
2 Hurricane damage detection on four major Caribbean islands; 3 High spatial resolution monitoring land surface energy, water and CO2 fluxes from an Unmanned Aerial System; 4 Chlorophyll algorithms for ocean color sensors - OC4, OC5 & OC6; 5 Estimating melt onset over Arctic sea ice from time series multi-sensor Sentinel-1 and RADARSAT-2 backscatter; 6 A new method to determine multi-angular reflectance factor from lightweight multispectral cameras with sky sensor in a target-less workflow applicable to UAV; 7 An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data; 8 Pre-earthquake chain processes detected from ground to satellite altitude in preparation of the 2016–2017 seismic sequence in Central Italy; 9 A carbon sink-driven approach to estimate gross primary production from microwave satellite observations; 10 An efficient approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense Landsat time series stacks; 11 Uncertainty in soil moisture retrievals: An ensemble approach using SMOS L-band microwave data; 12 A statewide urban tree canopy mapping method; 13 A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types; 14 Complex network-based time series remote sensing model in monitoring the fall foliage transition date for peak coloration; 15 Spaceborne tomography of multi-species Indian tropical forests; 16 Subsurface temperature estimation from remote sensing data using a clustering-neural network method; 17 Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross-section on an aerosol effective height retrieval algorithm using the O4 air mass factor from the ozone monitoring instrument; 18 Evaluation analysis of NASA SMAP L3 and L4 and SPoRT-LIS soil moisture data in the United States;
2 Hurricane damage detection on four major Caribbean islands; 3 High spatial resolution monitoring land surface energy, water and CO2 fluxes from an Unmanned Aerial System; 4 Chlorophyll algorithms for ocean color sensors - OC4, OC5 & OC6; 5 Estimating melt onset over Arctic sea ice from time series multi-sensor Sentinel-1 and RADARSAT-2 backscatter; 6 A new method to determine multi-angular reflectance factor from lightweight multispectral cameras with sky sensor in a target-less workflow applicable to UAV; 7 An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data; 8 Pre-earthquake chain processes detected from ground to satellite altitude in preparation of the 2016–2017 seismic sequence in Central Italy; 9 A carbon sink-driven approach to estimate gross primary production from microwave satellite observations; 10 An efficient approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense Landsat time series stacks; 11 Uncertainty in soil moisture retrievals: An ensemble approach using SMOS L-band microwave data; 12 A statewide urban tree canopy mapping method; 13 A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types; 14 Complex network-based time series remote sensing model in monitoring the fall foliage transition date for peak coloration; 15 Spaceborne tomography of multi-species Indian tropical forests; 16 Subsurface temperature estimation from remote sensing data using a clustering-neural network method; 17 Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross-section on an aerosol effective height retrieval algorithm using the O4 air mass factor from the ozone monitoring instrument; 18 Evaluation analysis of NASA SMAP L3 and L4 and SPoRT-LIS soil moisture data in the United States;
Mô tả
Năm xuất bản
2019
Tác giả
Nhà xuất bản
Elsevier
