Displaying 1 - 10 of 11
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
Chen, Lingling; Wu, Zhifeng; Tu, Wei; Cao, Zheng. 2020. Applying LUR model to estimate spatial variation of PM2.5 in the Greater Bay Area, China. [Spatiotemporal Analysis of Air Pollution and Its Application in Public Health] Ed(s): Li, Lixin; Zhou, Xiaolu; Tong, Weitian. pp: 207-215
Related URL(s): https://www.elsevier.com/books/spatiotemporal-analysis-of-air-pollution-and-its-…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Book Section)
export
Croitoru, Lelia; Miranda, Juan Jose; Khattabi, Abdellatif; Lee, Jia Jun. 2020. The Cost of Coastal Zone Degradation in Nigeria : Cross River, Delta and Lagos States. The World Bank. pp: 65
Related URL(s): https://openknowledge.worldbank.org/handle/10986/34758
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Report)
export
Ferraz, Katia Maria P. M. B. 2020. Modeling Report: Species Distribution Modeling (SDM). [Conservation Planning Workshops for the Javan Leopard (Panthera pardus melas) Provisional Report] Ed(s): Traylor-Holzer, K.; Holst, B.; Leus, K.; Ferraz, Katia Maria P. M. B. pp: 4-8
Related URL(s): http://www.cpsg.org/content/conservation-planning-workshops-javan-leopard-panthe…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Report)
export
Galimberti, Jaqueson K.; Pichler, Stefan; Pleninger, Regina. 2020. Measuring Inequality using Geospatial Data. [Economics Working Paper Series] pp: 50
Related URL(s): https://www.aut.ac.nz/__data/assets/pdf_file/0010/399394/working-paper-20_07.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Report)
export
Hasan, Syed Muhammad. 2020. Identification and Spatial Mapping of Economic Clusters in CAREC A GIS Based Analysis for the PRC, Pakistan and Tajikistan. CAREC Institute. pp: 33
Related URL(s): https://www.carecinstitute.org/publications/visiting-fellow-program-2020-identif…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
lulc
(Report)
export
Purnamasari, Ririn; Wirapati, Bagus Arya; Alatas, Hamidah; Nasiir, Mercoledi. 2020. Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data. World Bank. Issue: AUS0001842: 47 DOI: https://doi.org/10.1596/34614
Related URL(s): http://hdl.handle.net/10986/34614
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
groads
(Report)
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
Schrodt, Franziska; de la Barreda Bautista, Betsabe; Williams, Christopher; Boyd, Doreen S.; Schaepman-Strub, Gabriela; Santos, Maria J. 2020. Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study of Ecosystem Functioning and Conservation at Large Spatial Scales. [Remote Sensing of Plant Biodiversity] Ed(s): Cavender-Bares, Jeannine; Gamon, John A.; Townsend, Philip A. pp: 449-484 DOI: https://doi.org/10.1007/978-3-030-33157-3_17
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Book Section)
export
Gerber, Nicolas; Nkonya, Ephraim; Braun, Joachim. 2014. Land Degradation, Poverty and Marginality. [Marginality] Ed(s): von Braun, Joachim; Gatzweiler, Franz W. pp: 181-202 DOI: https://doi.org/10.1007/978-94-007-7061-4_12
Uses Remote Sensing: yes
SEDAC Data Collection(s):
povmap
(Book Section)
export

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