Displaying 1 - 10 of 14
Operations
Bagaria, Priyamvada; Thapa, Avantika; Sharma, Lalit Kumar; Joshi, Bheem Dutt; Singh, Hemant; Sharma, Chandra Maya; Sarma, Joyashree; Thakur, Mukesh; Chandra, Kailash. 2021. Distribution modelling and climate change risk assessment strategy for rare Himalayan Galliformes species using archetypal data abundant cohorts for adaptation planning. [Climate Risk Management] . 31: 100264 DOI: https://doi.org/10.1016/j.crm.2020.100264
Uses Remote Sensing: yes
SEDAC Data Collection(s):
aglands
gpw-v4
lulc
ulandsat
(Journal Article)
export
Shen, Pengke; Zhao, Shuqing. 2021. 1/4 to 1/3 of observed warming trends in China from 1980 to 2015 are attributed to land use changes. [Climatic Change] . 164(3): 59 DOI: https://doi.org/10.1007/s10584-021-03045-9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ulandsat
(Journal Article)
export
Wu, Xinying; Hao, Zengchao; Tang, Qiuhong; Singh, Vijay P.; Zhang, Xuan; Hao, Fanghua. 2021. Projected increase in compound dry and hot events over global land areas. [International Journal of Climatology] . 41(1): 393-403 DOI: https://doi.org/10.1002/joc.6626
SEDAC Data Collection(s):
aglands
(Journal Article)
export
Comer, Benjamin M.; Fuentes, Porfirio; Dimkpa, Christian O.; Liu, Yu-Hsuan; Fernandez, Carlos A.; Arora, Pratham; Realff, Matthew; Singh, Upendra; Hatzell, Marta C.; Medford, Andrew J. 2019. Prospects and challenges for solar fertilizers. [Joule] . 3(7): 1578-1605 DOI: https://doi.org/10.1016/j.joule.2019.05.001
SEDAC Data Collection(s):
aglands
(Journal Article)
export
Han, Xian Xian; Li, Gao Yang; Lu, Wen Fang; Jiang, Yu Wu. 2019. Comparing statistical and semi-distributed rainfall–runoff models for a large subtropical watershed: A case study of Jiulong River catchment, China. [Atmosphere] . 10(2): 62 DOI: https://doi.org/10.3390/atmos10020062
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ulandsat
(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
Liu, Xue; de Sherbinin, Alex; Zhan, Yanni. 2019. Mapping urban extent at large spatial scales using machine learning methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data. [Remote Sensing] . 11(10): 1247 DOI: https://doi.org/10.3390/rs11101247
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(Journal Article)
export
Maier, Stephanie D.; Lindner, Jan Paul; Francisco, Javier. 2019. Conceptual framework for biodiversity assessments in global value chains. [Sustainability] . 11(7): 1841 DOI: https://doi.org/10.3390/su11071841
SEDAC Data Collection(s):
ferman-v1
lulc
ulandsat
(Journal Article)
export
Marivoet, Wim; Ulimwengu, John; Sedano, Fernando. 2019. Spatial typology for targeted food and nutrition security interventions. [World Development] . 120: 62-75 DOI: https://doi.org/10.1016/j.worlddev.2019.04.003
SEDAC Data Collection(s):
ulandsat
(Journal Article)
export
Meerow, Sara. 2019. A green infrastructure spatial planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities. [Environmental Research Letters] . 14(12): 125011 DOI: https://doi.org/10.1088/1748-9326/ab502c
SEDAC Data Collection(s):
ulandsat
(Journal Article)
export

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