Name
Title | ||
|---|---|---|
Terrestrial Water Cycle In South And East Asia: Hydrospheric And Cryospheric Data Products |
Abstract | ||
|---|---|---|
The state of the land surface and the water cycle over the South and East Asia can be determined by space observation. New or significantly improved algorithms have been developed and evaluated against ground measurements. Variables retrieved include land surface properties, i.e. NDVI, LAI, FPAR, albedo, soil moisture, glacier and lake levels. Based on these biophysical parameters derived from microwave and optical remote sensing observations, a hybrid remotely sensed evapotranspiration (ET) estimation model named ETMonitor was developed and applied to estimate the daily actual ET of the Southeast Asia at a spatial resolution of 1 km. The changes in glaciers and lakes on the Tibetan Plateau, and the drainage links between glaciers and lakes are determined in this climate-sensitive region. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729989 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Water cycle, remote sensing products, South and East Asia | Drainage,Plateau,Glacier,Computer science,Remote sensing,Albedo,Normalized Difference Vegetation Index,Water content,Climatology,Evapotranspiration,Water cycle | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
0 | 18 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Massimo Menenti | 1 | 116 | 30.77 |
| Li Jia | 2 | 34 | 16.38 |
| Guangcheng Hu | 3 | 18 | 5.98 |
| Qinhuo Liu | 4 | 0 | 0.68 |
| Xiaozhou Xin | 5 | 10 | 10.44 |
| Laure Roupioz | 6 | 1 | 1.11 |
| Chaolei Zheng | 7 | 1 | 2.06 |
| Jieping Zhou | 8 | 13 | 3.63 |
| Zhansheng Li | 9 | 0 | 0.34 |
| Robin Faivre | 10 | 3 | 1.12 |
| Hamid Ghafarian | 11 | 0 | 0.34 |
| Vu Hien Phan | 12 | 12 | 2.40 |
| Roderik C. Lindenbergh | 13 | 13 | 3.86 |
| Jing Li | 14 | 17 | 5.26 |
| Jianguang Wen | 15 | 0 | 0.34 |
| Li Li | 16 | 0 | 1.01 |
| Jing Zhao | 17 | 0 | 0.68 |
| Baocheng Dou | 18 | 36 | 6.18 |