Displaying 1 - 10 of 12
Operations
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
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
Walsh, Michael G.; de Smalen, Allard Willem; Mor, Siobhan M. 2017. Wetlands, wild Bovidae species richness and sheep density delineate risk of Rift Valley fever outbreaks in the African continent and Arabian Peninsula. [PLOS Neglected Tropical Diseases] . 11(7): e0005756 DOI: https://doi.org/10.1371/journal.pntd.0005756
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Chen, Xi. 2016. Using nighttime lights data as a proxy in social scientific research. [Recapturing Space: New Middle-Range Theory in Spatial Demography] Series: Spatial Demography Book Series. Ed(s): Howell, Frank M.; Porter, Jeremy R.; Matthews, Stephen A. 1: 301-323 DOI: https://doi.org/10.1007/978-3-319-22810-5_15
Uses Remote Sensing: yes
SEDAC Data Collection(s):
entri
grump-v1
povmap
(Book Section)
export
Güneralp, Burak; Güneralp, İnci; Liu, Ying. 2015. Changing global patterns of urban exposure to flood and drought hazards. [Global Environmental Change] . 31: 217-225 DOI: https://doi.org/10.1016/j.gloenvcha.2015.01.002
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lecz
lulc
ndh
(Journal Article)
export
van de Sande, Bas; Lansen, Joost; Hoyng, Claartje. 2012. Sensitivity of coastal flood risk assessments to digital elevation models. [Water] . 4(3): 568-579 DOI: https://doi.org/10.3390/w4030568
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
lecz
(Journal Article)
export
Seto, Karen C.; Fragkias, Michail; Güneralp, Burak; Reilly, Michael K. 2011. A meta-analysis of global urban land expansion. [PLoS ONE] . 6(8): e23777 DOI: https://doi.org/10.1371/journal.pone.0023777
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
lecz
sdp
(Journal Article)
export
Sutton, Paul C.; Roberts, D.; Elvidge, Christopher D.; Baugh, K. 2001. Census from Heaven: An estimate of the global human population using night-time satellite imagery. [International Journal of Remote Sensing] . 22(16): 3061-3076
Uses Remote Sensing: yes
SEDAC Data Collection(s):
acrp
(Journal Article)
export

Pages

Export results as CSVXML