Displaying 21 - 30 of 40
Operations
Zhang, Ping; Wolfe, Robert; Bounoua, Lahouari. 2020. Comparison of MODIS Land Surface Temperature and Air Temperature Over Global in 2015. [IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium] pp: 4403-4406 DOI: https://doi.org/10.1109/IGARSS39084.2020.9324516
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ulandsat
(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
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
Mansuy, Nicolas; Miller, Carol; Parisien, Marc-André; Parks, Sean A.; Batllori, Enric; Moritz, Max A. 2019. Contrasting human influences and macro-environmental factors on fire activity inside and outside protected areas of North America. [Environmental Research Letters] . 14(6): 064007 DOI: https://doi.org/10.1088/1748-9326/ab1bc5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Morgan, Brett; Guénard, Benoit. 2019. New 30 m resolution Hong Kong climate, vegetation, and topography rasters indicate greater spatial variation than global grids within an urban mosaic. [Earth System Science Data] . 11(3): 1083-1098 DOI: https://doi.org/10.5194/essd-11-1083-2019
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ulandsat
(Journal Article)
export
Ou, Jinpei; Liu, Xiaoping; Liu, Penghua; Liu, Xiaojuan. 2019. Evaluation of Luojia 1-01 nighttime light imagery for impervious surface detection: A comparison with NPP-VIIRS nighttime light data. [International Journal of Applied Earth Observation and Geoinformation] . 81: 1-12 DOI: https://doi.org/10.1016/j.jag.2019.04.017
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ulandsat
(Journal Article)
export
Shahnaseri, Gilda; Hemami, Mahmoud-Reza; Khosravi, Rasoul; Malakoutikhah, Shima; Omidi, Maryam; Cushman, Samuel A. 2019. Contrasting use of habitat, landscape elements, and corridors by grey wolf and golden jackal in central Iran. [Landscape Ecology] . 34(6): 1263-1277 DOI: https://doi.org/10.1007/s10980-019-00831-w
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Ye, Jian-Sheng; Delgado-Baquerizo, Manuel; Soliveres, Santiago; Maestre, Fernando T. 2019. Multifunctionality debt in global drylands linked to past biome and climate. [Global Change Biology] . 25(6): 2152-2161 DOI: https://doi.org/10.1111/gcb.14631
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export

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