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首次全面量化 1990 年至 2020 年越南大陆的年度土地利用/覆盖变化。

First comprehensive quantification of annual land use/cover from 1990 to 2020 across mainland Vietnam.

机构信息

Graduate School of Science and Technology, University of Tsukuba, Tennoudai 1-1-1, Tsukuba, Ibaraki, 305-8572, Japan.

Hydraulic Construction Institute, Vietnam Academy for Water Resources, No. 3, Alley 95, Chua Boc Street, Dong Da district, Hanoi, 116765, Vietnam.

出版信息

Sci Rep. 2021 May 11;11(1):9979. doi: 10.1038/s41598-021-89034-5.

DOI:10.1038/s41598-021-89034-5
PMID:33976255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8113344/
Abstract

Extensive studies have highlighted a need for frequently consistent land cover information for interdisciplinary studies. This paper proposes a comprehensive framework for the automatic production of the first Vietnam-wide annual land use/land cover (LULC) data sets (VLUCDs) from 1990 to 2020, using available remotely sensed and inventory data. Classification accuracies ranged from 85.7 ± 1.3 to 92.0 ± 1.2% with the primary dominant LULC and 77.6 ± 1.2% to 84.7 ± 1.1% with the secondary dominant LULC. This confirmed the potential of the proposed framework for systematically long-term monitoring LULC in Vietnam. Results reveal that despite slight recoveries in 2000 and 2010, the net loss of forests (19,940 km) mainly transformed to croplands over 30 years. Meanwhile, productive croplands were converted to urban areas, which increased approximately ten times. A threefold increase in aquaculture was a major driver of the wetland loss (1914 km). The spatial-temporal changes varied, but the most dynamic regions were the western north, the southern centre, and the south. These findings can provide evidence-based information on formulating and implementing coherent land management policies. The explicitly spatio-temporal VLUCDs can be benchmarks for global LULC validation, and utilized for a variety of applications in the research of environmental changes towards the Sustainable Development Goals.

摘要

大量研究强调了在跨学科研究中需要频繁一致的土地覆盖信息。本文提出了一个综合框架,用于自动生成 1990 年至 2020 年越南全国范围的土地利用/土地覆盖(LULC)数据集(VLUCD),利用现有遥感和清单数据。主要优势土地利用/土地覆盖的分类精度范围为 85.7 ± 1.3%至 92.0 ± 1.2%,次要优势土地利用/土地覆盖的分类精度范围为 77.6 ± 1.2%至 84.7 ± 1.1%。这证实了该框架在越南系统地长期监测土地利用/土地覆盖方面的潜力。结果表明,尽管 2000 年和 2010 年略有恢复,但30 年来,森林(19940 公里)的净损失主要转化为耕地。同时,生产性耕地被转化为城市地区,增长了近十倍。水产养殖增加了三倍,是湿地损失(1914 公里)的主要驱动因素。时空变化有所不同,但最活跃的地区是西北部、中心南部和南部。这些发现可以为制定和实施连贯的土地管理政策提供基于证据的信息。明确的时空 VLUCD 可以作为全球 LULC 验证的基准,并可用于研究环境变化以实现可持续发展目标的各种应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/67ad4f9b0286/41598_2021_89034_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/b99478df5dbc/41598_2021_89034_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/63599519100b/41598_2021_89034_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/1a86b56f1bb4/41598_2021_89034_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/dc01439e1dd4/41598_2021_89034_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/67ad4f9b0286/41598_2021_89034_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/b99478df5dbc/41598_2021_89034_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/63599519100b/41598_2021_89034_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/1a86b56f1bb4/41598_2021_89034_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/dc01439e1dd4/41598_2021_89034_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ac/8113344/67ad4f9b0286/41598_2021_89034_Fig8_HTML.jpg

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