Displaying 1 - 5 of 5
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
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
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
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
Bolivar, Jhoanata M.; Gutierrez-Velez, Victor H.; Sierra, Carlos A. 2018. Carbon stocks in aboveground biomass for Colombian mangroves with associated uncertainties. [Regional Studies in Marine Science] . 18: 145-155 DOI: https://doi.org/10.1016/j.rsma.2017.12.011
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Journal Article)
export
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