Displaying 51 - 60 of 98
Operations
Lehtveer, Mariliis; Mattsson, Niclas; Hedenus, Fredrik. 2017. Using resource based slicing to capture the intermittency of variable renewables in energy system models. [Energy Strategy Reviews] . 18: 73-84 DOI: https://doi.org/10.1016/j.esr.2017.09.008
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Lewis, Johnnye; Hoover, Joseph; MacKenzie, Debra. 2017. Mining and environmental health disparities in Native American communities. [Current Environmental Health Reports] . 4(2): 130-141 DOI: https://doi.org/10.1007/s40572-017-0140-5
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Liao, Shiwu; Yao, Wei; Han, Xingning; Wen, Jinyu; Cheng, Shijie. 2017. Chronological operation simulation framework for regional power system under high penetration of renewable energy using meteorological data. [Applied Energy] . 203: 816-828 DOI: https://doi.org/10.1016/j.apenergy.2017.06.086
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Li, Can; McLinden, Chris; Fioletov, Vitali; Krotkov, Nickolay; Carn, Simon; Joiner, Joanna; Streets, David; He, Hao; Ren, Xinrong; Li, Zhanqing; Dickerson, Russell R. 2017. India is overtaking China as the world’s largest emitter of anthropogenic sulfur dioxide. [Scientific Reports] . 7(1): 14304 DOI: https://doi.org/10.1038/s41598-017-14639-8
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Linard, Catherine; Kabaria, Caroline W.; Gilbert, Marius; Tatem, Andrew J.; Gaughan, Andrea E.; Stevens, Forrest R.; Sorichetta, Alessandro; Noor, Abdisalan M.; Snow, Robert W. 2017. Modelling changing population distributions: an example of the Kenyan Coast, 1979–2009. [International Journal of Digital Earth] . 10(10): 1017-1029 DOI: https://doi.org/10.1080/17538947.2016.1275829
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
grump-v1
(Journal Article)
export
Li, Suju; Cui, Yan; Liu, Ming; He, Haixia; Ravan, Shirish. 2017. Integrating global open geo-information for major disaster assessment: A case study of the Myanmar flood. [ISPRS International Journal of Geo-Information] . 6(7): 19pp DOI: https://doi.org/10.3390/ijgi6070201
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Li, Tongwen; Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Xuechen; Zhang, Liangpei. 2017. Estimating ground-level PM2.5 by fusing satellite and station observations: A geo-intelligent deep learning approach. [Geophysical Research Letters] . 44(23): 11985-11993 DOI: https://doi.org/10.1002/2017GL075710
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Lloyd, Christopher T.; Sorichetta, Alessandro; Tatem, Andrew J. 2017. High resolution global gridded data for use in population studies. [Scientific Data] . 4(170001) DOI: https://doi.org/10.1038/sdata.2017.1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Lyon, Bradfield; Dinku, Tufa; Raman, Anita; Thomson, Madeleine C. 2017. Temperature suitability for malaria climbing the Ethiopian Highlands. [Environmental Research Letters] . 12(6): 064015 DOI: https://doi.org/10.1088/1748-9326/aa64e6
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Machovina, Brian; Feeley, Kenneth J. 2017. Restoring low-input high-diversity grasslands as a potential global resource for biofuels. [Science of The Total Environment] . 609: 205-214 DOI: https://doi.org/10.1016/j.scitotenv.2017.07.109
SEDAC Data Collection(s):
aglands
hanpp
(Journal Article)
export

Pages

Export results as CSVXML