Displaying 1 - 10 of 11
Operations
Berry, Lisa. 2020. Explore Air Quality with New Layers and Maps in ArcGIS Living Atlas. [ArcGIS Blog] 2020(20200507)
Related URL(s): https://www.esri.com/arcgis-blog/products/arcgis-living-atlas/analytics/explore-…
SEDAC Data Collection(s):
sdei
(Blog)
export
Bhattacharjee, Sagnik; Tencar, Jiri; Danilchyk, Tatsiana; Svitek, Miroslav; Horak, Tomas; Naghdi, Yashar. 2020. Urban Heat Vulnerability Assessment of Smart Border. [2020 Smart City Symposium Prague (SCSP)] pp: 1-6 DOI: https://doi.org/10.1109/SCSP49987.2020.9133977
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
export
Han, Weihong; Tong, Ling; Wen, Jiang. 2020. Long-term spatiotemporal trend analysis (1998–2016) of PM2.5 in China using satellite product. [IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium] pp: 5562-5565 DOI: https://doi.org/10.1109/IGARSS39084.2020.9323725
SEDAC Data Collection(s):
sdei
(Conference Proceedings)
export
Iannucci, Peter A.; Humphreys, Todd E. 2020. Economical Fused LEO GNSS. [2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)] pp: 426-443 DOI: https://doi.org/10.1109/PLANS46316.2020.9110140
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
export
Rizvi, Syed R.; Killough, Brian; Cherry, Andrew; Rattz, John; Lubawy, Andrew; Gowda, Sanjay. 2020. Data Cube application algorithms for the United Nation Sustainable Development Goals (UN-SDGS). [IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium] pp: 3399-3402 DOI: https://doi.org/10.1109/IGARSS39084.2020.9324429
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
export
Aldhous, Peter. 2019. These maps show how many cities are much hotter than their surroundings. [BuzzFeed.News] 2019(20190719)
Related URL(s): https://www.buzzfeednews.com/article/peteraldhous/summer-urban-heat-island-maps
SEDAC Data Collection(s):
sdei
(Blog)
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
De Lotto, Roberto; Pietra, Caterina; Venco, Elisabetta M. 2019. Risk analysis: A focus on urban exposure estimation. [Computational Science and Its Applications – ICCSA 2019] Ed(s): Misra, Sanjay; Gervasi, Osvaldo; Murgante, Beniamino; Stankova, Elena; Korkhov, Vladimir; Torre, Carmelo; Rocha, Ana Maria A. C.; Taniar, David; Apduhan, Bernady O.; Tarantino, Eufemia. pp: 407-423 DOI: https://doi.org/10.1007/978-3-030-24296-1_33
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Conference Proceedings)
export
Nelson, Garrett Dash. 2019. What micro-mapping a city's density reveals. [CityLab] 2019(20190709)
Related URL(s): https://www.citylab.com/perspective/2019/07/urban-density-map-city-population-da…
SEDAC Data Collection(s):
gpw-v4
(Blog)
export
Routley, Nick. 2019. How Facebook is using machine learning to map the world population. [Visual Capitalist] 2019(20190726)
Related URL(s): https://www.visualcapitalist.com/facebook-machine-learning-world-population-map/
SEDAC Data Collection(s):
gpw-v4
(Blog)
export

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