Displaying 21 - 26 of 26
Operations
Stock, A.; Haupt, A. J.; Mach, M.; Micheli, F. 2018. Mapping ecological indicators of human impact with statistical and machine learning methods: Tests on the California coast. [Ecological Informatics] . 48: 37-47 DOI: https://doi.org/10.1016/j.ecoinf.2018.07.007
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Tan, Chao; Guo, Bo; Kuang, Honghai; Yang, Hong; Ma, Mingguo. 2018. Lake area changes and their influence on factors in arid and semi-arid regions along the Silk Road. [Remote Sensing] . 10(4): 19pp DOI: https://doi.org/10.3390/rs10040595
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Tracy, James L.; Trabucco, Antonio; Lawing, A. Michelle; Giermakowski, J. Tomasz; Tchakerian, Maria; Drus, Gail M.; Coulson, Robert N. 2018. Random subset feature selection for ecological niche models of wildfire activity in Western North America. [Ecological Modelling] . 383: 52-68 DOI: https://doi.org/10.1016/j.ecolmodel.2018.05.019
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
groads
(Journal Article)
export
van Soesbergen, Arnout; Mulligan, Mark. 2018. Uncertainty in data for hydrological ecosystem services modelling: Potential implications for estimating services and beneficiaries for the CAZ Madagascar. [Ecosystem Services] . 33(Part B): 175-186 DOI: https://doi.org/10.1016/j.ecoser.2018.08.005
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Venter, Z. S.; Cramer, M. D.; Hawkins, H. J. 2018. Drivers of woody plant encroachment over Africa. [Nature Communications] . 9(1): 2272 DOI: https://doi.org/10.1038/s41467-018-04616-8
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Zhan, Yu; Luo, Yuzhou; Deng, Xunfei; Grieneisen, Michael L.; Zhang, Minghua; Di, Baofeng. 2018. Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment. [Environmental Pollution] . 233: 464-473 DOI: https://doi.org/10.1016/j.envpol.2017.10.029
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export

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