Displaying 1 - 6 of 6
Operations
Vivian, Jacopo. 2021. Energy in buildings and districts. [Energy Services Fundamentals and Financing] Ed(s): Borge-Diez, David; Rosales-Asensio, Enrique. pp: 81-108 DOI: https://doi.org/10.1016/B978-0-12-820592-1.00004-X
SEDAC Data Collection(s):
gpw-v4
(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
Kerényi, Attila; McIntosh, Richard William. 2020. Changes on Earth as a result of interaction between the society and nature. [Sustainable Development in Changing Complex Earth Systems] Ed(s): Kerényi, Attila; McIntosh, Richard William. pp: 75-202 DOI: https://doi.org/10.1007/978-3-030-21645-0_4
SEDAC Data Collection(s):
gpw-v4
(Book Section)
export
Matyushok, Vladimir M.; Baranova, Nina M.; Sorokin, Leonid V. 2020. Human capital impact for sustainable economic growth. [Geoecology of Landscape Dynamics] Ed(s): Sahdev, Seema; Singh, R. B.; Kumar, Manish. pp: 21-36 DOI: https://doi.org/10.1007/978-981-15-2097-6_3
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
Suwal, Madan Krishna; Huettmann, Falk. 2020. A rather short story of shared GIS data layers in the Hindu Kush-Himalayas: State of the art, justifications and urgent suggestions for a sustainable global data governance with open access and open source coming to the rescue. [Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives] Ed(s): Regmi, Ganga Ram; Huettmann, Falk. pp: 521-563 DOI: https://doi.org/10.1007/978-3-030-36275-1_26
SEDAC Data Collection(s):
gpw-v4
groads
ndh
(Book Section)
export
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