Displaying 1 - 9 of 9
Operations
Das, Sumit. 2020. Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP). [Remote Sensing Applications: Society and Environment] . 20: 100379 DOI: https://doi.org/10.1016/j.rsase.2020.100379
Uses Remote Sensing: yes
SEDAC Data Collection(s):
india
(Journal Article)
export
Khandelwal, Ankush; Karpatne, Anuj; Wei, Zhihao; Ghosh, Rahul; Kuang, Huangying; Cutler, Kelly; Dugan, Hilary; Hanson, Paul; Kumar, Vipin. 2020. ReaLSAT-R: A new Reservoir Surface Area Dynamics Database created using Machine Learning and Satellite Imagery.
Related URL(s): https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth28.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Conference Paper)
export
Lin, Mi; Biswas, Asim; Bennett, Elena M. 2020. Socio-ecological determinants on spatio-temporal changes of groundwater in the Yellow River Basin, China. [Science of The Total Environment] . 731: 138725 DOI: https://doi.org/10.1016/j.scitotenv.2020.138725
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grand-v1
(Journal Article)
export
Lin, Ping; Yang, Lu; Zhao, Shuqing. 2020. Urbanization effects on Chinese mammal and amphibian richness: a multi-scale study using the urban-rural gradient approach. [Environmental Research Communications] . 2(12): 125002 DOI: https://doi.org/10.1088/2515-7620/abd1c5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
species
(Journal Article)
export
Liu, Dong; Bai, Yan; He, Xianqiang; Chen, Chen-Tung Arthur; Huang, Ting-Hsuan; Pan, Delu; Chen, Xiaoyan; Wang, Difeng; Zhang, Lin. 2020. Changes in riverine organic carbon input to the ocean from mainland China over the past 60 years. [Environment International] . 134: 105258 DOI: https://doi.org/10.1016/j.envint.2019.105258
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Li, Yao; Gao, Huilin; Zhao, Gang; Tseng, Kuo-Hsin. 2020. A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry. [Remote Sensing of Environment] . 244: 111831 DOI: https://doi.org/10.1016/j.rse.2020.111831
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Wang, Zhiyong; Liu, Jian; Wang, Jinning; Wang, Lihua; Luo, Meng; Wang, Zihao; Ni, Ping; Li, Hao. 2020. Resolving and analyzing landfast ice deformation by InSAR technology combined with Sentinel-1A ascending and descending orbits data. [Sensors] . 20(22): 6561 DOI: https://doi.org/10.3390/s20226561
Uses Remote Sensing: yes
SEDAC Data Collection(s):
dedc
(Journal Article)
export
Zaveri, Esha; Russ, Jason; Damania, Richard. 2020. Rainfall anomalies are a significant driver of cropland expansion. [Proceedings of the National Academy of Sciences] . 117(19): 10225-10233 DOI: https://doi.org/10.1073/pnas.1910719117
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grand-v1
(Journal Article)
export
Zhang, Xingxing; Jiang, Liguang; Kittel, Cécile M. M.; Yao, Zhijun; Nielsen, Karina; Liu, Zhaofei; Wang, Rui; Liu, Jun; Andersen, Ole B.; Bauer-Gottwein, Peter. 2020. On the performance of Sentinel-3 altimetry over new reservoirs: Approaches to determine onboard a priori elevation. [Geophysical Research Letters] . 47(17): e2020GL088770 DOI: https://doi.org/10.1029/2020gl088770
Uses Remote Sensing: yes
SEDAC Data Collection(s):
dedc
(Journal Article)
export
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