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DOI10.1016/j.asr.2024.03.032
Analysis of 10-m Sentinel-2 imagery and a re-normalization approach reveals a declining trend in the latest rubber plantations in Xishuangbanna
发表日期2024
ISSN0273-1177
EISSN1879-1948
起始页码73
结束页码12
卷号73期号:12
英文摘要Natural rubber is one of the four main raw materials of industry and a globally important strategic material. Rubber plantations with agroforestry attributes have undergone rapid growth in the northern part of mainland Southeast Asia (including Xishuangbanna) since the 1990s, leading to a series of eco-environmental effects on biological diversity, climate change, carbon stocks, and hydrological processes. Accurate, detailed, and updated spatial information on rubber plantations, therefore, is fundamental for developing efficient management strategies. Currently, the booming rubber plantations are being experienced new changes in Xishuangbanna. The commonly used coarser spatial resolution satellite data (e.g., 250-m MODIS and/or 30-m Landsat) have limited applications because most plantations are often small and scattered, especially in the mountainous areas. Here, we developed a straightforward and effective renormalization of red green normalized difference vegetation index (ReNDI) approach based on finer resolution (10-m) Sentinel -2 imagery, and then mapped the first annual 10-m rubber plantations in the entire Xishuangbanna during 2018-2021. Interestingly, rubber plots no longer expanded as rapidly as in past decades and even decreased slightly. The latest area of rubber plantations was 2514.7 km 2 , a decrease of 31.9 km 2 comparing since 2018, with an average overall accuracy and kappa coefficient of four-year reached up to 95.37 % and 0.90, respectively. Among them, Jinghong city and Menghai county increased by 52.4 km 2 and 14.8 km 2 respectively, and Mengla county decreased by 99.1 km 2 . The main area of rubber expansion was around the Jinghong city, where rubber was initially planted. More importantly, owing to pursuing increased economic benefits and requirements of environmental protection, a considerable portion of the rubber encroachment has disappeared, particularly near roads and rivers. Our phenology-based ReNDI algorithm not only enriches the remotely -sensed methods for other industrial plantations mapping, but also provides a new chance to understanding the current patterns of rubber plantations (i.e., increase and decrease), which will contributed to rational planting planning and agroforestry management in the future, especially in the tropics. (c) 2024 COSPAR. Published by Elsevier B.V. All rights reserved.
英文关键词Rubber plantations; Mapping; Phenology-based method; Dynamic changes; Sentinel-2 imagery
语种英语
WOS研究方向Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
WOS类目Engineering, Aerospace ; Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS记录号WOS:001239313200001
来源期刊ADVANCES IN SPACE RESEARCH
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/305757
作者单位Nanjing University; Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Jiangxi Normal University
推荐引用方式
GB/T 7714		 . Analysis of 10-m Sentinel-2 imagery and a re-normalization approach reveals a declining trend in the latest rubber plantations in Xishuangbanna[J],2024,73(12).
APA (2024).Analysis of 10-m Sentinel-2 imagery and a re-normalization approach reveals a declining trend in the latest rubber plantations in Xishuangbanna.ADVANCES IN SPACE RESEARCH,73(12).
MLA "Analysis of 10-m Sentinel-2 imagery and a re-normalization approach reveals a declining trend in the latest rubber plantations in Xishuangbanna".ADVANCES IN SPACE RESEARCH 73.12(2024).
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