Development of a Daily Multilayer Cropland Soil Moisture Dataset for China Using Machine Learning and Application to Cropping PatternsSource: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 002::page 445DOI: 10.1175/JHM-D-19-0301.1Publisher: American Meteorological Society
|
Collections
Show full item record
| contributor author | Liu, Yaling;Chen, Dongdong;Mouatadid, Soukayna;Lu, Xiaoliang;Chen, Min;Cheng, Yu;Xie, Zhenghui;Jia, Binghao;Wu, Huan;Gentine, Pierre | |
| date accessioned | 2022-03-26T19:08:33Z | |
| date available | 2022-03-26T19:08:33Z | |
| date copyright | 01 Feb. 2021 | |
| date issued | 2021 | |
| identifier other | JHM-D-19-0301.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4279703 | |
| publisher | American Meteorological Society | |
| title | Development of a Daily Multilayer Cropland Soil Moisture Dataset for China Using Machine Learning and Application to Cropping Patterns | |
| type | Journal Paper | |
| journal volume | 22 | |
| journal issue | 2 | |
| journal title | Journal of Hydrometeorology | |
| identifier doi | 10.1175/JHM-D-19-0301.1 | |
| journal fristpage | 445 | |
| journal lastpage | 461 | |
| tree | Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 002 | |
| contenttype | Fulltext |