Displaying 1 - 10 of 10
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
Khan, Ashfaq; Khan, Afedullah; Khan, Fayaz Ahmad; Shah, Liaqat Ali; Rauf, Ateeq Ur; Badrashi, Yasir Irfan; Khan, Wisal; Khan, Jehanzeb. 2021. Assessment of the impacts of terrestrial determinants on surface water quality at multiple spatial scales. [Polish Journal of Environmental Studies] . 30(3): 2137-2147 DOI: https://doi.org/10.15244/pjoes/122503
Uses Remote Sensing: yes
SEDAC Data Collection(s):
anthromes
(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
Vinayak, Bhanage; Lee, Han Soo; Gedem, Shirishkumar. 2021. Prediction of land use and land cover changes in Mumbai City, India, using remote sensing data and a multilayer perceptron neural network-based Markov chain model. [Sustainability] . 13(2): 471 DOI: https://doi.org/10.3390/su13020471
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Journal Article)
export
Bhunia, Gouri Sankar; Shit, Pravat Kumar. 2019. Spatial Database for Public Health and Cartographic Visualization. [Geospatial Analysis of Public Health] Ed(s): Bhunia, Gouri Sankar; Shit, Pravat Kumar. pp: 29-57 DOI: https://doi.org/10.1007/978-3-030-01680-7_2
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
gpw-v4
grand-v1
groads
(Book Section)
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
Jano-Ito, M. A.; Crawford-Brown, D.; de Vries, L. J. 2019. Minimising unwanted interactions between CO2 and low-carbon energy policies: The case of the Mexican electricity sector. [C-EENRG Working Papers] University of Cambridge. pp: 71
Related URL(s): https://www.ceenrg.landecon.cam.ac.uk/working-paper-files/wp21
Uses Remote Sensing: yes
SEDAC Data Collection(s):
anthromes
(Report)
export
Kugler, Tracy A.; Grace, Kathryn; Wrathall, David J.; de Sherbinin, Alex; Van Riper, David; Aubrecht, Christoph; Comer, Douglas; Adamo, Susana B.; Cervone, Guido; Engstrom, Ryan; Hultquist, Carolynne; Gaughan, Andrea E.; Linard, Catherine; Moran, Emilio; Stevens, Forrest; Tatem, Andrew J.; Tellman, Beth; Van Den Hoek, Jamon. 2019. People and Pixels 20 years later: the current data landscape and research trends blending population and environmental data. [Population and Environment] . 41: 209-234 DOI: https://doi.org/10.1007/s11111-019-00326-5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
anthromes
gpw-v4
sdei
(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
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