Displaying 1 - 10 of 10
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
Khandelwal, Ankush; Karpatne, Anuj; Wei, Zhihao; Ghosh, Rahul; Kuang, Huangying; Cutler, Kelly; Dugan, Hilary; Hanson, Paul; Kumar, Vipin. 2020. ReaLSAT-R: A new Reservoir Surface Area Dynamics Database created using Machine Learning and Satellite Imagery.
Related URL(s): https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth28.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Conference Paper)
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
Bajaj, Shaurya; Geraldine Bessie Amali, D. 2019. Species environmental niche distribution modeling for Panthera Tigris Tigris ‘Royal Bengal Tiger’ using machine learning. [Emerging Research in Computing, Information, Communication and Applications] Ed(s): Shetty, N. R.; Patnaik, L. M.; Nagaraj, H. C.; Hamsavath, Prasad Naik; Nalini, N. pp: 251-263 DOI: https://doi.org/10.1007/978-981-13-5953-8_22
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
export
Bhatt, C. M.; Karnatak, Harish C. 2019. Geoweb services and open online data repositories for North West Himalayas studies including disaster monitoring and mitigation. [Remote Sensing of Northwest Himalayan Ecosystems] Ed(s): Navalgund, R. R.; Kumar, A. Senthil; Nandy, Subrata. pp: 501-536 DOI: https://doi.org/10.1007/978-981-13-2128-3_23
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
anthromes
gpw-v4
groads
grump-v1
ndh
(Book Section)
export
Bhunia, Gouri Sankar; Shit, Pravat Kumar. 2019. Spatial Database for Public Health and Cartographic Visualization. [Geospatial Analysis of Public Health] Ed(s): Bhunia, Gouri Sankar; Shit, Pravat Kumar. pp: 29-57 DOI: https://doi.org/10.1007/978-3-030-01680-7_2
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
gpw-v4
grand-v1
groads
(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
Cohen, Jennifer L.; Desai, Raj M.; Kharas, Homi. 2019. Spatial targeting of poverty hotspots. [Leave No One Behind: Time for Specifics on the Sustainable Development Goals] Ed(s): Kharas, Homi; McArthur, John W.; Ohno, Izumi. pp: 209-237
Related URL(s): https://www.brookings.edu/wp-content/uploads/2019/09/LNOB_Chapter10.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Book Section)
export
Matsumoto, Tomoya. 2019. Devolution and Local Development in Emerging States: The Case of Kenya. [Developmental State Building: The Politics of Emerging Economies] Ed(s): Takagi, Yusuke; Kanchoochat, Veerayooth; Sonobe, Tetsushi. pp: 157-175 DOI: https://doi.org/10.1007/978-981-13-2904-3_8
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Book Section)
export
Yoza-Mitsuishi, Nadia; Sun, Ruoyu; Mathys, Peter. 2019. Spectrum sharing between WLANs and fixed microwave links in 6 and 13 GHz bands: a case study. [2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)] pp: 1-7 DOI: https://doi.org/10.1109/DySPAN.2019.8935662
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
export
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