Displaying 1 - 7 of 7
Operations
Brodylo, David; Zhang, Caiyun. 2020. Applying Landsat products to assess the damage and resilience of mangroves from hurricanes. [Multi-sensor System Applications in the Everglades Ecosystem] Ed(s): Zhang, Caiyun. pp: 155-172 DOI: https://doi.org/10.1201/9780429075872-9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Book Section)
export
Hamilton, Stuart E. 2020. Botany of Mangroves. [Mangroves and Aquaculture: A Five Decade Remote Sensing Analysis of Ecuador’s Estuarine Environments] Ed(s): Hamilton, Stuart E. pp: 1-40 DOI: https://doi.org/10.1007/978-3-030-22240-6_1
SEDAC Data Collection(s):
lulc
(Book Section)
export
Rodriguez, Wilfrid. 2020. Remote sensing of mangrove forests in an environment of global change. [Coastal and Marine Environments] Ed(s): Wang, Yeqiao. pp: 325-338 DOI: https://doi.org/10.1201/9780429441004
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Book Section)
export
Sullivan, Teresa A. 2020. Privacy and Data Protection. [Census 2020: Understanding the Issues] pp: 69-84 DOI: https://doi.org/10.1007/978-3-030-40578-6_5
SEDAC Data Collection(s):
acrp
(Book Section)
export
Hamilton, Stuart E.; Castellanos-Galindo, Gustavo A.; Millones-Mayer, Marco; Chen, Mara. 2018. Remote sensing of mangrove forests: Current techniques and existing databases. [Threats to Mangrove Forests: Hazards, Vulnerability, and Management] Ed(s): Makowski, Christopher; Finkl, Charles W. pp: 497-520 DOI: https://doi.org/10.1007/978-3-319-73016-5_22
SEDAC Data Collection(s):
lulc
(Book Section)
export
Böhm, Monika; Popescu, Viorel D. 2016. Landscape ecology, biogeography and GIS methods. [Reptile Ecology and Conservation: A Handbook of Techniques] Ed(s): Dodd, C. Kenneth. pp: 298-314
Related URL(s): https://global.oup.com/academic/product/reptile-ecology-and-conservation-9780198…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
hanpp
lulc
ma
(Book Section)
export
Bivand, Roger S.; Pebesma, Edzer; Gómez-Rubio, Virgilio. 2013. Modelling Areal Data. [Applied Spatial Data Analysis with R] Series: Use R!. 10: 263-318 DOI: https://doi.org/10.1007/978-1-4614-7618-4_9
SEDAC Data Collection(s):
acrp
(Book Section)
export
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