Remote Sensing of Environment volume 234
Đang tải...
Xem mô tả
0
Xem & Tải
0
Tóm tắt
19 Status of accuracy in remotely sensed and in-situ agricultural water productivity estimates: A review; 20 Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator; 21 Characterizing urban infrastructural transitions for the Sustainable Development Goals using multi-temporal land, population, and nighttime light data; 22 Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits; 23 Volcanic structures investigation through SAR and seismic interferometric methods: The 2011–2013 Campi Flegrei unrest episode.
2 Remotely sensing phytoplankton size structure in the Red Sea; 3 Ice Floe Tracker: An algorithm to automatically retrieve Lagrangian trajectories via feature matching from moderate-resolution visual imagery; 4 Spectral vegetation indices of wetland greenness: Responses to vegetation structure, composition, and spatial distribution; 5 From woody cover to woody canopies: How Sentinel-1 and Sentinel-2 data advance the mapping of woody plants in savannas; 6 Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau; 7 Ocean surface current retrieval from space: The Sentinel-2 multispectral capabilities; 8 Remote sensing-assisted data assimilation and simultaneous inference for forest inventory 9 Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events?; 10 InSAR full-resolution analysis of the 2017–2018 M>6 earthquakes in Mexico; 11 Quantifying the contribution of spectral metrics derived from digital aerial photogrammetry to area-based models of forest inventory attributes; 12 Enhancing SWOT discharge assimilation through spatiotemporal correlations; 13 Surface meltwater runoff on the Greenland ice sheet estimated from remotely sensed supraglacial lake infilling rate; 14 Deprivation pockets through the lens of convolutional neural networks; 15 Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies; 16 Synergistic integration of optical and microwave satellite data for crop yield estimation; 17 Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression: Mechanistic insights from observations and process-based simulations; 18 Simultaneous retrieval of global scale Vegetation Optical Depth, surface roughness, and soil moisture using X-band AMSR-E observations;
2 Remotely sensing phytoplankton size structure in the Red Sea; 3 Ice Floe Tracker: An algorithm to automatically retrieve Lagrangian trajectories via feature matching from moderate-resolution visual imagery; 4 Spectral vegetation indices of wetland greenness: Responses to vegetation structure, composition, and spatial distribution; 5 From woody cover to woody canopies: How Sentinel-1 and Sentinel-2 data advance the mapping of woody plants in savannas; 6 Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau; 7 Ocean surface current retrieval from space: The Sentinel-2 multispectral capabilities; 8 Remote sensing-assisted data assimilation and simultaneous inference for forest inventory 9 Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events?; 10 InSAR full-resolution analysis of the 2017–2018 M>6 earthquakes in Mexico; 11 Quantifying the contribution of spectral metrics derived from digital aerial photogrammetry to area-based models of forest inventory attributes; 12 Enhancing SWOT discharge assimilation through spatiotemporal correlations; 13 Surface meltwater runoff on the Greenland ice sheet estimated from remotely sensed supraglacial lake infilling rate; 14 Deprivation pockets through the lens of convolutional neural networks; 15 Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies; 16 Synergistic integration of optical and microwave satellite data for crop yield estimation; 17 Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression: Mechanistic insights from observations and process-based simulations; 18 Simultaneous retrieval of global scale Vegetation Optical Depth, surface roughness, and soil moisture using X-band AMSR-E observations;
Mô tả
Năm xuất bản
2019
Tác giả
Nhà xuất bản
Elsevier
