搜索
切换导航
首页
数据产品
最新动态
关于本站
注册
登录
首页
/
数据产品
/
文献浏览
关键数据集
专题浏览
全部数据
空间检索
关键词浏览
缩略图浏览
姚盼盼, 卢麾, 赵天杰, 武胜利, 施建成. (2021). 基于风云卫星FY-3B微波成像仪MWRI数据的全球日尺度土壤水分数据集(2010-2019). 国家青藏高原科学数据中心, DOI: 10.11888/Terre.tpdc.271954. CSTR: 18406.11.Terre.tpdc.271954.
Chen, Y., Feng, X., & Fu, B. (2021). An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018, Earth Syst. Sci. Data, 13, 1–31, https://doi.org/10.5194/essd-13-1-2021
Doxsey-Whitfield, E., MacManus, K., Adamo, S. B., Pistolesi, L., Squires, J., Borkovska, O., & Baptista, S. R. (2015). Taking advantage of the improved availability of census data: a first look at the gridded population of the world, version 4. Papers in Applied Geography, 1(3), 226-234.
Brecht M , Miralles D G , Hans L , et al. GLEAM v3: satellite-based land evaporation and root-zone soil moisture[J]. Geoscientific Model Development Discussions, 2016:1-36.
Liang Gao, Dongdong Song, Yitao Yang, Changxing Xu, & Xiaobao Yang. (2021). District/County Level Population Census GIS Datasets in China (1953-2010) (Version V1) [Data set]. Science Data Bank. https://doi.org/10.11922/sciencedb.j00001.00273
Yao, P.P., Shi, J.C., Zhao, T.J., Lu, H. & Al-Yaari, A. (2017). Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index. Remote Sensing 9(1), 35
O'Neill, P. E., S. Chan, E. G. Njoku, T. Jackson, R. Bindlish, J. Chaubell, and A. Colliander. (2021). SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture, Version 5 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/4DQ54OUIJ9DL. Date Accessed 10-05-2022.
Bhaduri, B., Bright, E., Coleman, P., & Dobson, J. (2002). LandScan. Geoinformatics, 5(2), 34-37.
Tatem, A. J. (2017). WorldPop, open data for spatial demography. Scientific data, 4(1), 1-4.
Al Bitar, A.; Mialon, A.; Kerr, Y.H.; Cabot, F.; Richaume, P.; Jacquette, E.; Quesney, A.; Mahmoodi, A.; Tarot, S.; Parrens, M.; et al. The global SMOS Level 3 daily soil moisture and brightness temperature maps. Earth Syst. Sci. Data 2017, 9, 293–315.
«
1
2
3
4
5
(current)
6
»
警告
火狐浏览器
谷歌浏览器
请您下载最新的Chrome、Firefox浏览器,如果您的浏览器有多个内核,请切换到极速内核(模式),否则无法获得最近浏览体验
警告
火狐浏览器
谷歌浏览器
请您下载最新的谷歌浏览器、火狐浏览器,如果您的浏览器有多个内核,请切换到极速内核(模式),否则该内容无法访问