Name
Title | ||
|---|---|---|
Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery. |
Abstract | ||
|---|---|---|
•A quantitative drought monitoring framework at field scales using ESTARFM between MODIS and Sentinel-2 has been developed.•The fused VTCI are better correlated with cumulative precipitation in winter wheat planting area in China.•The study shows that drought levels of winter wheat, woodland and bare land can be clearly separated and quantified. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2019.105144 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Sentinel-2,MODIS,Spatiotemporal data fusion,Drought monitoring,Field scale | Computer vision,Vegetation,Moderate-resolution imaging spectroradiometer,Remote sensing,Advanced very-high-resolution radiometer,Digital elevation model,Normalized Difference Vegetation Index,Artificial intelligence,Engineering,Condition index,Image resolution,Precipitation | Journal |
Volume | ISSN | Citations |
168 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xijia Zhou | 1 | 0 | 0.34 |
| Peng Xin Wang | 2 | 14 | 6.53 |
| Kevin Tansey | 3 | 48 | 8.78 |
| Shuyu Zhang | 4 | 0 | 0.34 |
| Hongmei Li | 5 | 0 | 0.34 |
| Lei Wang | 6 | 65 | 54.21 |