Displaying 1 - 10 of 25
Operations
Chen, Siyu; Jiang, Nanxuan; Huang, Jianping; Zang, Zhou; Guan, Xiaodan; Ma, Xiaojun; Luo, Yuan; Li, Jiming; Zhang, Xiaorui; Zhang, Yanting. 2019. Estimations of indirect and direct anthropogenic dust emission at the global scale. [Atmospheric Environment] . 200: 50-60 DOI: https://doi.org/10.1016/j.atmosenv.2018.11.063
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Geldmann, Jonas; Manica, Andrea; Burgess, Neil D.; Coad, Lauren; Balmford, Andrew. 2019. A global-level assessment of the effectiveness of protected areas at resisting anthropogenic pressures. [Proceedings of the National Academy of Sciences] . 116(46): 23209-23215 DOI: https://doi.org/10.1073/pnas.1908221116
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Jin, Kai; Wang, Fei; Chen, Deliang; Liu, Huanhuan; Ding, Wenbin; Shi, Shangyu. 2019. A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series. [Scientific Data] . 6(1): 139 DOI: https://doi.org/10.1038/s41597-019-0143-1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Lloyd, Christopher T.; Chamberlain, Heather; Kerr, David; Yetman, Greg; Pistolesi, Linda; Stevens, Forrest R.; Gaughan, Andrea E.; Nieves, Jeremiah J.; Hornby, Graeme; MacManus, Kytt; Sinha, Parmanand; Bondarenko, Maksym; Sorichetta, Alessandro; Tatem, Andrew J. 2019. Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets. [Big Earth Data] . 3(2): 108-139 DOI: https://doi.org/10.1080/20964471.2019.1625151
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
grump-v1
(Journal Article)
export
Magory Cohen, Tali; Dor, Roi. 2019. The effect of local species composition on the distribution of an avian invader. [Scientific Reports] . 9(1): 15861 DOI: https://doi.org/10.1038/s41598-019-52256-9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Wagner, Paul D.; Fohrer, Nicola. 2019. Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables. [Environmental Modelling & Software] . 115: 155-163 DOI: https://doi.org/10.1016/j.envsoft.2019.02.011
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Walker, Robert S.; Hamilton, Marcus J. 2019. Machine learning with remote sensing data to locate uncontacted indigenous villages in Amazonia. [PeerJ Computer Science] . 5: e170 DOI: https://doi.org/10.7717/peerj-cs.170
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Zou, Yufei; Wang, Yuhang; Ke, Ziming; Tian, Hanqin; Yang, Jia; Liu, Yongqiang. 2019. Development of a REgion-Specific Ecosystem Feedback Fire (RESFire) model in the Community Earth System Model. [Journal of Advances in Modeling Earth Systems] . 11(2): 417-445 DOI: https://doi.org/10.1029/2018MS001368
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Alpert, Pinhas; Shvainshtein, Olga; Kischa, Pavel. 2012. AOD trends over megacities based on space monitoring using MODIS and MISR. [American Journal of Climate Change] . 1(3): 117-131 DOI: https://doi.org/10.4236/ajcc.2012.13010
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Bagan, Hasi; Yamagata, Yoshiki. 2012. Landsat analysis of urban growth: How Tokyo became the world's largest megacity during the last 40 years. [Remote Sensing of Environment] . 127: 210-222 DOI: https://doi.org/10.1016/j.rse.2012.09.011
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export

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