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GIScience & Remote Sensing Volume 57, 2020 - Issue 3
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Research Article

Analysis of differences in vegetation phenology cycle of abandoned farmland, using harmonic analysis of time-series vegetation indices data: the case of Gwangyang City, South Korea

Sunggyu Leea Department of Landscape Architecture and Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of KoreaView further author information
,
Soyoun Kimb Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of KoreaView further author information
&
Heeyeun Yoona Department of Landscape Architecture and Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea;b Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of KoreaCorrespondence[email protected]
View further author information
Pages 338-351 | Received 15 May 2019, Accepted 19 Nov 2019, Published online: 09 Dec 2019

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Chunhong Zhao, Qihao Weng, Yige Wang, Zhongmin Hu & Chaoyang Wu. (2022) Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA. GIScience & Remote Sensing 59:1, pages 393-409.
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Articles from other publishers (3)

Quandi Niu, Xuecao Li, Jianxi Huang, Hai Huang, Xianda Huang, Wei Su & Wenping Yuan. (2022) A 30 m annual maize phenology dataset from 1985 to 2020 in China. Earth System Science Data 14:6, pages 2851-2864.
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Khaled Hazaymeh, Wahib Sahwan, Sattam Al Shogoor & Brigitta Schütt. (2022) A Remote Sensing-Based Analysis of the Impact of Syrian Crisis on Agricultural Land Abandonment in Yarmouk River Basin. Sensors 22:10, pages 3931.
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Heeyeun Yoon & Soyoun Kim. (2020) Detecting abandoned farmland using harmonic analysis and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing 166, pages 201-212.
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