A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression

10.1016/j.jag.2021.102513

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Bibliographic Details
Main Authors:	Ye, Yang, Huang, Linyan, Zheng, Qiming, Liang, Chenxin, Dong, Baiyu, Deng, Jinsong, Han, Xiuzhen
Other Authors:	BIOLOGICAL SCIENCES
Format:	Article
Published:	Elsevier B.V. 2022
Subjects:	Downscaling Geographically weighted regression (GWR) Impervious surface detection Nighttime light (NTL)
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/233511
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-233511
record_format	dspace
spelling	sg-nus-scholar.10635-2335112024-04-02T07:29:56Z A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression Ye, Yang Huang, Linyan Zheng, Qiming Liang, Chenxin Dong, Baiyu Deng, Jinsong Han, Xiuzhen BIOLOGICAL SCIENCES Downscaling Geographically weighted regression (GWR) Impervious surface detection Nighttime light (NTL) 10.1016/j.jag.2021.102513 International Journal of Applied Earth Observation and Geoinformation 104 102513 2022-10-26T08:58:40Z 2022-10-26T08:58:40Z 2021-12-01 Article Ye, Yang, Huang, Linyan, Zheng, Qiming, Liang, Chenxin, Dong, Baiyu, Deng, Jinsong, Han, Xiuzhen (2021-12-01). A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression. International Journal of Applied Earth Observation and Geoinformation 104 : 102513. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jag.2021.102513 0303-2434 https://scholarbank.nus.edu.sg/handle/10635/233511 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ Elsevier B.V. Scopus OA2021
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Downscaling Geographically weighted regression (GWR) Impervious surface detection Nighttime light (NTL)
spellingShingle	Downscaling Geographically weighted regression (GWR) Impervious surface detection Nighttime light (NTL) Ye, Yang Huang, Linyan Zheng, Qiming Liang, Chenxin Dong, Baiyu Deng, Jinsong Han, Xiuzhen A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression
description	10.1016/j.jag.2021.102513
author2	BIOLOGICAL SCIENCES
author_facet	BIOLOGICAL SCIENCES Ye, Yang Huang, Linyan Zheng, Qiming Liang, Chenxin Dong, Baiyu Deng, Jinsong Han, Xiuzhen
format	Article
author	Ye, Yang Huang, Linyan Zheng, Qiming Liang, Chenxin Dong, Baiyu Deng, Jinsong Han, Xiuzhen
author_sort	Ye, Yang
title	A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression
title_short	A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression
title_full	A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression
title_fullStr	A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression
title_full_unstemmed	A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression
title_sort	feasible framework to downscale npp-viirs nighttime light imagery using multi-source spatial variables and geographically weighted regression
publisher	Elsevier B.V.
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/233511
_version_	1795301912214503424

A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression

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