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International Journal of Remote Sensing Volume 41, 2020 - Issue 24
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Research Article

Day and night synergy to improve subpixel urban impervious surface mapping in desert environments at 30-m Landsat resolution

Chengbin Denga Department of Geography, State University of New York at Binghamton, Binghamton, NY, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5459-5586
ORCID Icon &
Weiying Lina Department of Geography, State University of New York at Binghamton, Binghamton, NY, USA;b Department of Geography, Texas A&M University, College Station, TX, USA
Pages 9588-9605 | Received 29 Oct 2019, Accepted 23 Jul 2020, Published online: 02 Nov 2020

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Xinya Chen, Kun Yang, Jiasheng Wang, Zhimin Wang, Limeng Wang & Fanjie Su. (2022) Improving long-term impervious surface percentage mapping in mountainous areas based on multi-source remote sensing data. Geocarto International 37:26, pages 12943-12965.
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Articles from other publishers (3)

Francesca Peroni, Salvatore Eugenio Pappalardo, Francesco Facchinelli, Edoardo Crescini, Michele Munafò, Michael E Hodgson & Massimo De Marchi. (2022) How to map soil sealing, land take and impervious surfaces? A systematic review. Environmental Research Letters 17:5, pages 053005.
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Tian Liang & Xuefang Wang. (2022) A Statistical Analysis Model of Big Data for Precise Poverty Alleviation Based on Multisource Data Fusion. Scientific Programming 2022, pages 1-10.
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Wenliang Li. (2021) Improving Urban Impervious Surfaces Mapping through Integrating Statistical Methods and Spectral Mixture Analysis. Remote Sensing 13:13, pages 2474.
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