Displaying 1 - 10 of 11
Operations
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
Liu, Junguo; Zhao, Dandan; Mao, Ganquan; Cui, Wenhui; Chen, He; Yang, Hong. 2020. Environmental sustainability of water footprint in mainland China. [Geography and Sustainability] . 1(1): 8-17 DOI: https://doi.org/10.1016/j.geosus.2020.02.002
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
(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
Rodriguez, Wilfrid. 2020. Remote sensing of mangrove forests in an environment of global change. [Coastal and Marine Environments] Ed(s): Wang, Yeqiao. pp: 325-338 DOI: https://doi.org/10.1201/9780429441004
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Book Section)
export
Xiao, Han; Su, Fenzhen; Fu, Dongjie; Wang, Qi; Huang, Chong. 2020. Coastal mangrove response to marine erosion: Evaluating the impacts of spatial distribution and vegetation growth in Bangkok Bay from 1987 to 2017. [Remote Sensing] . 12(2): 220 DOI: https://doi.org/10.3390/rs12020220
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Journal Article)
export

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