Name
Title | ||
|---|---|---|
Learning-Based Spatial-Temporal Superresolution Mapping of Forest Cover With MODIS Images. |
Abstract | ||
|---|---|---|
Forest mapping from satellite sensor imagery provides important information for the timely monitoring of forest growth and deforestation, bioenergy potential assessment, and modeling of carbon flux, among others. Due to the daily global revisit rate and wide swath width, MODerate-resolution Imaging Spectroradiometer (MODIS) images are used commonly for satellite-derived forest mapping at both regi... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TGRS.2016.2613140 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Spatial resolution,MODIS,Remote sensing,Satellites,Earth,Vegetation | Tree canopy,Downscaling,Vegetation,Remote sensing,Spatial variability,Pixel,Spectroradiometer,Subpixel rendering,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
55 | 1 | 0196-2892 |
Citations | PageRank | References |
7 | 0.57 | 21 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yihang Zhang | 1 | 86 | 8.80 |
| Peter M. Atkinson | 2 | 391 | 47.56 |
| Xiaodong Li | 3 | 171 | 16.82 |
| Feng Ling | 4 | 209 | 21.29 |
| Qunming Wang | 5 | 158 | 14.58 |
| Yun Du | 6 | 153 | 16.11 |