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Remote Sensing Letters Volume 5, 2014 - Issue 10
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Articles

Discrete classification approach to land cover and land use change identification based on Landsat image time sequences

Douglas A. StowDepartment of Geography, San Diego State University, San Diego, CA92182, USACorrespondence[email protected]
,
Hsiao-Chien ShihDepartment of Geography, San Diego State University, San Diego, CA92182, USA
&
Lloyd L. CoulterDepartment of Geography, San Diego State University, San Diego, CA92182, USA
Pages 922-931 | Received 01 Aug 2014, Accepted 10 Oct 2014, Published online: 31 Oct 2014

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Melanie-Louise Leblanc, Armand LaRocque, Brigitte Leblon, Al Hanson & Murray M. Humphries. (2021) Using Landsat Time-Series to Monitor and Inform Seagrass Dynamics: A Case Study in the Tabusintac Estuary, New Brunswick, Canada. Canadian Journal of Remote Sensing 47:1, pages 65-82.
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Articles from other publishers (5)

Yu Hsin Tsai, Douglas Stow, Li An, Hsiang Ling Chen, Rebecca Lewison & Lei Shi. (2019) Monitoring land-cover and land-use dynamics in Fanjingshan National Nature Reserve. Applied Geography 111, pages 102077.
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Q. Zhang, C.R. Hakkenberg & C. Song. 2018. Comprehensive Remote Sensing. Comprehensive Remote Sensing 39 58 .
J.R. Weeks, D.A. Stow & L. An. 2018. Comprehensive Remote Sensing. Comprehensive Remote Sensing 76 89 .
Christian Wohlfart, Benjamin Mack, Gaohuan Liu & Claudia Kuenzer. (2017) Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas. Applied Geography 85, pages 73-88.
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Hsiao-chien Shih, Douglas A. Stow, John R. Weeks & Lloyd L. Coulter. (2016) Determining the Type and Starting Time of Land Cover and Land Use Change in Southern Ghana Based on Discrete Analysis of Dense Landsat Image Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9:5, pages 2064-2073.
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