Displaying 1 - 10 of 48
Operations
Gupta, Diksha; Dhanya, C. T. 2021. Quantifying the effect of GRACE terrestrial water storage anomaly in the simulation of extreme flows. [Journal of Hydrologic Engineering] . 26(4): 04021007 DOI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0002072
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Jin, Yuan; Li, Ainong; Bian, Jinhu; Nan, Xi; Lei, Guangbin; Muhammad, Kamran. 2021. Spatiotemporal analysis of ecological vulnerability along Bangladesh-China-India-Myanmar economic corridor through a grid level prototype model. [Ecological Indicators] . 120: 106933 DOI: https://doi.org/10.1016/j.ecolind.2020.106933
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(Journal Article)
export
Li, Yao; Zhao, Gang; Shah, Deep; Zhao, Maosheng; Sarkar, Sudipta; Devadiga, Sadashiva; Zhao, Bingjie; Zhang, Shuai; Gao, Huilin. 2021. NASA’s MODIS/VIIRS Global Water Reservoir product suite from moderate resolution remote sensing data. [Remote Sensing] . 13(4): 565 DOI: https://doi.org/10.3390/rs13040565
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(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
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
Sterzel, Till; Lüdeke, Matthias K. B.; Walther, Carsten; Kok, Marcel T. J.; Sietz, Diana; Lucas, Paul L. 2020. Typology of coastal urban vulnerability under rapid urbanization. [PLOS ONE] . 15(1): e0220936 DOI: https://doi.org/10.1371/journal.pone.0220936
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
ndh
(Journal Article)
export
Van Coppenolle, Rebecca; Temmerman, Stijn. 2020. Identifying global hotspots where coastal wetland conservation can contribute to nature-based mitigation of coastal flood risks. [Global and Planetary Change] . 187: 103125 DOI: https://doi.org/10.1016/j.gloplacha.2020.103125
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(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

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