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26 October 2022 Spatiotemporal changes of land use in Henan section of the Yellow River Basin from 2008 to 2017
Xiaoping Zhang, Xinhong Ding, Huaipeng Liu, Yongyong Li, Chuancai Zhang, Zehang Sun
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Proceedings Volume 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII; 1226813 (2022) https://doi.org/10.1117/12.2636205
Event: SPIE Remote Sensing, 2022, Berlin, Germany
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Abstract
The ecological environment of the Yellow River Basin continues to deteriorate due to the rapid population growth and urban expansion. Understanding the land use change is helpful to analyze the land use trends under the interference of human activities and changes in the natural environment. In this manuscript, the TM and OLI images in 2008 and 2017 were mainly used to analyze the spatiotemporal dynamic of the land use in Henan Section of Yellow River Basin. The driving factors of land use changes were also quantified. Results show that the land use area of construction land and woodland gradually increased, and the arable land decreased significantly during the past ten years. The transfer of land use types was mainly reflected in the conversion of arable land to construction land. The total land use dynamic degree has reached 4.80% in the past decade. Based on the results, it can be concluded that the terrain and the socio-economic activities are the key factors affecting land use change in the study area. The research results can provide data support for ecological environmental protection and high-quality development of the Henan section of the Yellow River Basin, and help local governments take corresponding measures to achieve coordinated and sustainable socioeconomic and environmental development.
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Xiaoping Zhang, Xinhong Ding, Huaipeng Liu, Yongyong Li, Chuancai Zhang, and Zehang Sun "Spatiotemporal changes of land use in Henan section of the Yellow River Basin from 2008 to 2017", Proc. SPIE 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII, 1226813 (26 October 2022); https://doi.org/10.1117/12.2636205
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KEYWORDS
Remote sensing
Analytical research
Landsat
Environmental sensing
Image classification
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