Displaying 1 - 4 of 4
Operations
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
Atasoy, Murat. 2018. Monitoring the urban green spaces and landscape fragmentation using remote sensing: a case study in Osmaniye, Turkey. [Environmental Monitoring and Assessment] . 190(12): 713 DOI: https://doi.org/10.1007/s10661-018-7109-1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Journal Article)
export
Walsh, Michael G.; Webb, Cameron. 2018. Hydrological features and the ecological niches of mammalian hosts delineate elevated risk for Ross River virus epidemics in anthropogenic landscapes in Australia. [Parasites & Vectors] . 11(1): 192 DOI: https://doi.org/10.1186/s13071-018-2776-x
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
de Sherbinin, Alexander M.; Chai-Onn, Tricia; Jaiteh, Malanding; Mara, Valentina; Pistolesi, Linda; Schnarr, Emilie; Trzaska, Sylwia. 2015. Data integration for climate vulnerability mapping in West Africa. [ISPRS International Journal of Geo-Information] . 4(4): 2561-2582 DOI: https://doi.org/10.3390/ijgi4042561
Uses Remote Sensing: yes
SEDAC Data Collection(s):
anthromes
lulc
(Journal Article)
export
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