TY - JOUR
T1 - Monitoring the spatiotemporal change of Dongting Lake wetland by integrating Landsat and MODIS images, from 2001 to 2020
AU - Guo, Dizhou
AU - Shi, Wenzhong
AU - Qian, Fangrui
AU - Wang, Shujuan
AU - cai, cai
N1 - This work was supported by the Otto Poon Charitable ` Foundation Smart Cities Research Institute, Hong Kong Polytechnic University (Work Program: CD03); the Ministry of Science and Technology of the People’s Republic of China under Project 2019YFB2103102; Beijing Key Laboratory of Urban Spatial Information Engineering (2020101); Urban Informatics for Smart Cities, the Hong Kong Polytechnic University (1-ZVN6). The authors would like to thank Mr. Huan Gao and Mr. Ke Wu for giving generous help in debugging code. The authors thank the High-Performance Spatial Computing Intelligence Laboratory (HPSCIL) for making cuSTARFM and cuFSDAF available to public implementation, the Google for providing GEE platform to efficiently process and download remote sensing data, the Hydrological Public Service Platform in Hunan Province for providing the water level of Chenglingji hydrological station. The authors would also like to thank Editors and all reviewers for their helpful and constructive comments on this paper.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Dongting Lake wetland provides critical ecological functions in the Yangtze River Basin, however its landscape pattern has changed during the past 20 years due to both climate change and the human activities such as the operation of the Three Gorges dam (TGD). Numerous studies have used remote sensing technology to monitor such changes. However, most of studies were conducted at low spatial resolutions (250–1000 m) or low temporal resolutions (few images per year), which can introduce a degree of unreliability as regards the associated conclusions. To thoroughly analyze the spatiotemporal characteristics of Dongting Lake wetland, high spatiotemporal resolution images from 2001 to 2020 have been produced by a modified version of the flexible spatiotemporal data fusion method (cuFSDAF 2.0) developed in this paper. This method is able to retrieve both phenology and land-cover changes both quickly and accurately. In addition, a tailored category by category extraction mapping method (CCEMM) is proposed to reliably classify wetland cover types. The mapping results show that the water area expanded by 66.43 Km2 in the wet season, and shrank by 132.86 Km2 in the dry season, between and including the years, 2001 to 2020. It appeared that the water area in the dry season declined obviously from 2003 to 2010 due to the operation of the TGD and is gradually stabilized after 2010. The reed area increased by 279.59 Km2 and the grass area decreased by 220.46 Km2 in the dry season, from 2001 to 2020. The shrinkage of the water area in the dry season may be one of the main factors driving reeds to occupy the previous grass growth area.
AB - Dongting Lake wetland provides critical ecological functions in the Yangtze River Basin, however its landscape pattern has changed during the past 20 years due to both climate change and the human activities such as the operation of the Three Gorges dam (TGD). Numerous studies have used remote sensing technology to monitor such changes. However, most of studies were conducted at low spatial resolutions (250–1000 m) or low temporal resolutions (few images per year), which can introduce a degree of unreliability as regards the associated conclusions. To thoroughly analyze the spatiotemporal characteristics of Dongting Lake wetland, high spatiotemporal resolution images from 2001 to 2020 have been produced by a modified version of the flexible spatiotemporal data fusion method (cuFSDAF 2.0) developed in this paper. This method is able to retrieve both phenology and land-cover changes both quickly and accurately. In addition, a tailored category by category extraction mapping method (CCEMM) is proposed to reliably classify wetland cover types. The mapping results show that the water area expanded by 66.43 Km2 in the wet season, and shrank by 132.86 Km2 in the dry season, between and including the years, 2001 to 2020. It appeared that the water area in the dry season declined obviously from 2003 to 2010 due to the operation of the TGD and is gradually stabilized after 2010. The reed area increased by 279.59 Km2 and the grass area decreased by 220.46 Km2 in the dry season, from 2001 to 2020. The shrinkage of the water area in the dry season may be one of the main factors driving reeds to occupy the previous grass growth area.
M3 - Journal article
SN - 1574-9541
JO - Ecological Informatics
JF - Ecological Informatics
M1 - 101848
ER -