Displaying 1 - 4 of 4
Operations
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
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
Cairns, Stephen; Chen, Ting. 2019. Cartographic technique and Artifice: The case of the Chengdu Plain. [Future Cities Laboratory: Indicia 02] Ed(s): Cairns, Stephen; Tunas, Devisari. pp: 191-199 DOI: https://doi.org/10.3929/ethz-b-000353122
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
hanpp
povmap
(Book Section)
export
Nizar, Sinan; Dodamani, B. M. 2018. Spatio-temporal distribution of rainfall and aerosols over urban areas of Karnataka. [SPIE Remote Sensing] 10786: 11 DOI: https://doi.org/10.1117/12.2325639
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Conference Paper)
export
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