Displaying 1 - 10 of 10
Operations
Alves, Catherine Lawrence. 2020. Assessment of Reef and Fisheries Management in Belize Using a Social-ecological Systems Approach. [Environment, Ecology and Energy] Bruno, John F.; Castillo, Karl; Havice, Elizabeth; Umbanhowar, James; Kramer, Randall. Ph.D.: 169 DOI: https://doi.org/10.17615/9f51-jw21
SEDAC Data Collection(s):
(Thesis)
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
Srivastava, Vivek. 2020. Designing Biology Informed Anthropogenically Driven Invasive Forest Pests Risk Models. [Forestry] Griess, Verena C. Ph.D.: 168
Related URL(s): http://hdl.handle.net/2429/75304
SEDAC Data Collection(s):
(Thesis)
export
Zhong, Liyuan; Zhou, Dong; Liu, Ruiqi; Wang, Xinhui; Meng, Xi. 2020. The Feasibility of Coexistence between IMT-2020 and Inter-Satellite Service in 26GHz band. [2020 International Wireless Communications and Mobile Computing (IWCMC)] pp: 1006-1011 DOI: https://doi.org/10.1109/IWCMC48107.2020.9148350
SEDAC Data Collection(s):
(Conference Proceedings)
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
Lin, Li; Di, Liping; Yang, Ruixin; Zhang, Chen; Yu, Eugene; Rahman, Md. Shahinoor; Sun, Ziheng; Tang, Junmei. 2018. Using machine learning approach to evaluate the PM2.5 concentrations in China from 1998 to 2016. [7th International Conference on Agro-geoinformatics] pp: 1-5 DOI: https://doi.org/10.1109/Agro-Geoinformatics.2018.8475987
SEDAC Data Collection(s):
sdei
(Conference Proceedings)
export
Mukherjee, Anondo Dehan. 2018. Examining Aerosol Properties and Their Impacts to Visibility Utilizing Particulate Monitor and Sensor Measurements. [Department of Atmospheric and Oceanic Sciences] Friedrich, Katja; Pilewskie, Peter. Ph.D.: 175
Related URL(s): https://search.proquest.com/docview/2048322168
SEDAC Data Collection(s):
sdei
(Thesis)
export
Mao, Zhimin. 2016. Turning Policy Promises into Blue Skies: Mixed-Method Assessment of China's Past and Future Air Pollution–Reduction Efforts. [Pardee RAND Graduate School] Knopman, Debra. Ph.D.(RGSD-385): 147 DOI: https://doi.org/10.7249/RGSD385
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Thesis)
export
de Sherbinin, Alexander M. 2015. Integration of remote sensing and population data: Lessons from the NASA Socioeconomic data and applications center. [2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)] pp: 2537-2540 DOI: https://doi.org/10.1109/IGARSS.2015.7326328
SEDAC Data Collection(s):
gpw-v3
grump-v1
sdei
(Conference Proceedings)
export
Liu, Chaoshun; Shen, Xianxia; Gao, Wei; Liu, Pudong; Sun, Zhibin. 2014. Evaluation of CALIPSO aerosol optical depth using AERONET and MODIS data over China. 9221: 92210F-92210F-13 DOI: https://doi.org/10.1117/12.2058929
SEDAC Data Collection(s):
sdei
(Conference Proceedings)
export
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