Displaying 1 - 9 of 9
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
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
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
Escurra Aguirre, Jorge J.; Jones, Charles A. 2019. Water use efficiency and storage capacity in South Asia by 2050. [JAWRA Journal of the American Water Resources Association] . 55(6): 1519-1539 DOI: https://doi.org/10.1111/1752-1688.12804
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grand-v1
(Journal Article)
export
Li, Yao; Gao, Huilin; Jasinski, Michael F.; Zhang, Shuai; Stoll, Jeremy D. 2019. Deriving high-resolution reservoir bathymetry from ICESat-2 prototype photon-counting lidar and Landsat imagery. [IEEE Transactions on Geoscience and Remote Sensing] . 57(10): 7883-7893 DOI: https://doi.org/10.1109/TGRS.2019.2917012
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Pöhlker, C.; Walter, D.; Paulsen, H.; Könemann, T.; Rodríguez-Caballero, E.; Moran-Zuloaga, D.; Brito, J.; Carbone, S.; Degrendele, C.; Després, V. R.; Ditas, F.; Holanda, B. A.; Kaiser, J. W.; Lammel, G.; Lavrič, J. V.; Ming, J.; Pickersgill, D.; Pöhlker, M. L.; Praß, M.; Löbs, N.; Saturno, J.; Sörgel, M.; Wang, Q.; Weber, B.; Wolff, S.; Artaxo, P.; Pöschl, U.; Andreae, M. O. 2019. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory. [Atmospheric Chemistry and Physics] . 19(13): 8425-8470 DOI: https://doi.org/10.5194/acp-19-8425-2019
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grand-v1
(Journal Article)
export
Walsh, Michael G.; Webb, Cameron. 2018. Hydrological features and the ecological niches of mammalian hosts delineate elevated risk for Ross River virus epidemics in anthropogenic landscapes in Australia. [Parasites & Vectors] . 11(1): 192 DOI: https://doi.org/10.1186/s13071-018-2776-x
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Zhang, Wensong; Pan, Hang; Song, Chunqiao; Ke, Linghong; Wang, Jida; Ma, Ronghua; Deng, Xinyuan; Liu, Kai; Zhu, Jingying; Wu, Qianhan. 2018. Identifying emerging reservoirs along regulated rivers using multi-source remote sensing observations. [Remote Sensing] . 11(1): 25 DOI: https://doi.org/10.3390/rs11010025
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
van Bemmelen, C. W. T.; Mann, M.; de Ridder, M. P.; Rutten, M. M.; van de Giesen, N. C. 2016. Determining water reservoir characteristics with global elevation data. [Geophysical Research Letters] . 43(21): 11278-11286 DOI: https://doi.org/10.1002/2016GL069816
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
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