Displaying 1 - 10 of 13
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
Tuna, Caglayan; Merciol, François; Lefèvre, Sébastien. 2019. Monitoring urban growth with spatial filtering of satellite image time series. [JURSE (Joint Urban Remote Sensing Event)]
Related URL(s): https://hal.archives-ouvertes.fr/hal-02118714
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Paper)
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
Mboga, N.; Persello, C.; Bergado, J. R.; Stein, A. 2017. Detection of informal settlements from VHR satellite images using convolutional neural networks. [2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)] pp: 5169-5172 DOI: https://doi.org/10.1109/IGARSS.2017.8128166
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
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
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

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