Displaying 1 - 6 of 6
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
Hermoso, Virgilio; Filipe, Ana Filipa. 2021. Offsetting connectivity loss in rivers: Towards a no-net-loss approach for barrier planning. [Biological Conservation] . 256: 109043 DOI: https://doi.org/10.1016/j.biocon.2021.109043
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
Mulligan, Mark. 2021. Mapping Hydrological Ecosystem Services and Impacts of Scenarios for Deforestation and Conservation of Lowland, Montane and Cloud-Affected Forests. [The Andean Cloud Forest] Ed(s): Myster, Randall W. pp: 189-218 DOI: https://doi.org/10.1007/978-3-030-57344-7_10
SEDAC Data Collection(s):
sdp
(Book Section)
export
Shen, Ju; Du, Shiqiang; Ma, Qun; Huang, Qingxu; Wen, Jiahong; Yin, Zhan'e; Gao, Jun. 2021. A new multiple return-period framework of flood regulation service—applied in Yangtze River basin. [Ecological Indicators] . 125: 107441 DOI: https://doi.org/10.1016/j.ecolind.2021.107441
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Busch, Gerald. 2006. Future European agricultural landscapes—What can we learn from existing quantitative land use scenario studies?. [Agriculture, Ecosystems & Environment] . 114(1): 121-140 DOI: https://doi.org/10.1016/j.agee.2005.11.007
SEDAC Data Collection(s):
sdp
(Journal Article)
export
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