Displaying 1 - 10 of 49
Operations
Bagaria, Priyamvada; Thapa, Avantika; Sharma, Lalit Kumar; Joshi, Bheem Dutt; Singh, Hemant; Sharma, Chandra Maya; Sarma, Joyashree; Thakur, Mukesh; Chandra, Kailash. 2021. Distribution modelling and climate change risk assessment strategy for rare Himalayan Galliformes species using archetypal data abundant cohorts for adaptation planning. [Climate Risk Management] . 31: 100264 DOI: https://doi.org/10.1016/j.crm.2020.100264
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
gpw-v4
lulc
ulandsat
(Journal Article)
export
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
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
Brodylo, David; Zhang, Caiyun. 2020. Applying Landsat products to assess the damage and resilience of mangroves from hurricanes. [Multi-sensor System Applications in the Everglades Ecosystem] Ed(s): Zhang, Caiyun. pp: 155-172 DOI: https://doi.org/10.1201/9780429075872-9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Book Section)
export
Hasan, Syed Muhammad. 2020. Identification and Spatial Mapping of Economic Clusters in CAREC A GIS Based Analysis for the PRC, Pakistan and Tajikistan. CAREC Institute. pp: 33
Related URL(s): https://www.carecinstitute.org/publications/visiting-fellow-program-2020-identif…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Report)
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
Leijten, Floris Casper; Sim, Sarah; King, Henry; Verburg, Peter, H. 2020. Which forests could be protected by corporate zero deforestation commitments? A spatial assessment. [Environmental Research Letters] . 15(6): 064021 DOI: https://doi.org/10.1088/1748-9326/ab8158
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
(Journal Article)
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

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