Displaying 1 - 10 of 27
Operations
Jin, Yuan; Li, Ainong; Bian, Jinhu; Nan, Xi; Lei, Guangbin; Muhammad, Kamran. 2021. Spatiotemporal analysis of ecological vulnerability along Bangladesh-China-India-Myanmar economic corridor through a grid level prototype model. [Ecological Indicators] . 120: 106933 DOI: https://doi.org/10.1016/j.ecolind.2020.106933
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(Journal Article)
export
Lin, Ping; Yang, Lu; Zhao, Shuqing. 2020. Urbanization effects on Chinese mammal and amphibian richness: a multi-scale study using the urban-rural gradient approach. [Environmental Research Communications] . 2(12): 125002 DOI: https://doi.org/10.1088/2515-7620/abd1c5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
species
(Journal Article)
export
Sterzel, Till; Lüdeke, Matthias K. B.; Walther, Carsten; Kok, Marcel T. J.; Sietz, Diana; Lucas, Paul L. 2020. Typology of coastal urban vulnerability under rapid urbanization. [PLOS ONE] . 15(1): e0220936 DOI: https://doi.org/10.1371/journal.pone.0220936
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
ndh
(Journal Article)
export
Van Coppenolle, Rebecca; Temmerman, Stijn. 2020. Identifying global hotspots where coastal wetland conservation can contribute to nature-based mitigation of coastal flood risks. [Global and Planetary Change] . 187: 103125 DOI: https://doi.org/10.1016/j.gloplacha.2020.103125
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(Journal Article)
export
Bhatt, C. M.; Karnatak, Harish C. 2019. Geoweb services and open online data repositories for North West Himalayas studies including disaster monitoring and mitigation. [Remote Sensing of Northwest Himalayan Ecosystems] Ed(s): Navalgund, R. R.; Kumar, A. Senthil; Nandy, Subrata. pp: 501-536 DOI: https://doi.org/10.1007/978-981-13-2128-3_23
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
anthromes
gpw-v4
groads
grump-v1
ndh
(Book Section)
export
Hao, Mengmeng; Jiang, Dong; Ding, Fangyu; Fu, Jingying; Chen, Shuai. 2019. Simulating spatio-temporal patterns of terrorism incidents on the Indochina Peninsula with GIS and the random forest method. [ISPRS International Journal of Geo-Information] . 8(3): 133 DOI: https://doi.org/10.3390/ijgi8030133
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
ndh
(Journal Article)
export
Silver, Jessica M.; Arkema, Katie K.; Griffin, Robert M.; Lashley, Brett; Lemay, Michele; Maldonado, Sergio; Moultrie, Stacey H.; Ruckelshaus, Mary; Schill, Steven; Thomas, Adelle; Wyatt, Katherine; Verutes, Gregory. 2019. Advancing coastal risk reduction science and implementation by accounting for climate, ecosystems, and people. [Frontiers in Marine Science] . 6(556) DOI: https://doi.org/10.3389/fmars.2019.00556
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lecz
(Journal Article)
export
Walsh, Michael G; Mor, Siobhan M; Maity, Hindol; Hossain, Shah. 2019. Forest loss shapes the landscape suitability of Kyasanur Forest disease in the biodiversity hotspots of the Western Ghats, India. [International Journal of Epidemiology] . 48(6): 1804-1814 DOI: https://doi.org/10.1093/ije/dyz232
Uses Remote Sensing: yes
SEDAC Data Collection(s):
species
(Journal Article)
export
Yang, Xuchao; Yao, Chenming; Chen, Qian; Ye, Tingting; Jin, Cheng. 2019. Improved estimates of population exposure in low-elevation coastal zones of China. [International Journal of Environmental Research and Public Health] . 16(20): 4012 DOI: https://doi.org/10.3390/ijerph16204012
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lecz
(Journal Article)
export
Othman, Arsalan Ahmed; Gloaguen, Richard; Andreani, Louis; Rahnama, Mehdi. 2018. Improving landslide susceptibility mapping using morphometric features in the Mawat area, Kurdistan Region, NE Iraq: Comparison of different statistical models. [Geomorphology] . 319: 147-160 DOI: https://doi.org/10.1016/j.geomorph.2018.07.018
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(Journal Article)
export

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