文献类型：期刊文献

英文题名：Quantifying annual land-cover change and vegetation greenness variation in a coastal ecosystem using dense time-series Landsat data

作者：Li, Dengqiu[1] Lu, Dengsheng[1] Li, Nan[2] Wu, Ming[3] Shao, Xuexin[3]

第一作者：Li, Dengqiu

通信作者：Lu, DS[1]

机构：[1]Zhejiang A&F Univ, Sch Environm & Resource Sci, Key Lab Carbon Cycling Forest Ecosyst & Carbon Se, State Key Lab Subtrop Silviculture, Hangzhou 311300, Zhejiang, Peoples R China;[2]Nanjing Forestry Univ, Coll Biol & Environm, Nanjing 210037, Jiangsu, Peoples R China;[3]Chinese Acad Forestry, Res Inst Subtrop Forestry, Wetland Ecosyst Res Stn Hangzhou Bay, Hangzhou 311400, Zhejiang, Peoples R China

年份：2019

卷号：56

期号：5

起止页码：769-793

外文期刊名：GISCIENCE & REMOTE SENSING

收录：;Scopus(收录号：2-s2.0-85059940479);WOS:【SCI-EXPANDED(收录号:WOS:000467394600006)】；

基金：This study was financially supported by a special fund for cooperation of Zhejiang Province and the Chinese Academy of Forestry (2018SY03), National Key R&D Program of China (2016YFC0503302), National Natural Science Foundation of China (41571411), Zhejiang Provincial Natural Science Foundation (LQ16D010008), and Zhejiang A&F University's Research and Development Fund (2013FR052).

语种：英文

外文关键词：land-cover conversion; land-cover modification; abrupt change; time-series Landsat; vegetation greenness

摘要：Land-cover change may affect water and carbon cycles when transitioning from one land-cover category to another (land-cover conversion, LCC) or when the characteristics of the land-cover type are altered without changing its overall category (land-cover modification, LCM). Given the increasing availability of time-series remotely sensed data for earth monitoring, there has been increased recognition of the importance of accounting for both LCC and LCM to study annual land-cover changes. In this study, we integrated 1,513 time-series Landsat images and a change-updating method to identify annual LCC and LCM during 1986-2015 in the coastal area of Zhejiang Province, China. The purpose was to quantify their contributions to land-cover changes and impacts on the amount of vegetation. The results show that LCC and LCM can be successfully distinguished with an overall accuracy of 90.0%. LCM accounted for 22% and 40.5% of the detected land-cover changes in reclaimed and inland areas, respectively, during 1986-2015. In the reclaimed area, LCC occurred mostly in muddy tidal flats, construction land, aquaculture ponds, and freshwater herbaceous land, whereas LCM occurred mostly in freshwater herbaceous land, Spartina alterniflora, and muddy tidal flats. In the inland area, both LCC and LCM were concentrated in forest and dryland. Overall, LCC had a mean magnitude of normalized difference vegetation index (NDVI) change similar to that of LCM. However, LCC had a positive effect and LCM had a negative effect on NDVI change in the reclaimed area. Both LCC and LCM in the inland area had negative impacts on vegetation greenness, but LCC resulted in larger NDVI change magnitude. Impacts of LCC and LCM on vegetation greenness were quantified for each land-cover type. This study provided a methodological framework to take both LCC and LCM into account when analyzing land-cover changes and quantified their effects on coastal ecosystem vegetation.