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应用线性光谱混合模型研究咸海流域的长期自然植被动态。

Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model.

作者信息

Su Yiting, Wang Dongchuan, Zhao Shuang, Shi Jiancong, Shi Yanqing, Wei Dongying

机构信息

School of Geology and Geomatics, Tianjin Chengjian University, Tianjin, China.

Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin, China.

出版信息

PeerJ. 2021 Mar 2;9:e10747. doi: 10.7717/peerj.10747. eCollection 2021.

Abstract

BACKGROUND

Associated with the significant decrease in water resources, natural vegetation degradation has also led to many widespread environmental problems in the Aral Sea Basin. However, few studies have examined long-term vegetation dynamics in the Aral Sea Basin or distinguished between natural vegetation and cultivated land when calculating the fractional vegetation cover.

METHODS

Based on the multi-temporal Moderate Resolution Imaging Spectroradiometer, this study examined the natural vegetation coverage by introducing the Linear Spectral Mixture Model to the Google Earth Engine platform, which greatly reduces the experimental time. Further, trend line analysis, Sen trend analysis, and Mann-Kendall trend test methods were employed to explore the characteristics of natural vegetation cover change in the Aral Sea Basin from 2000 to 2018.

RESULTS

Analyses of the results suggest three major conclusions. First, the development of irrigated agriculture in the desert area is the main reason for the decrease in downstream water. Second, with the reduction of water, the natural vegetation coverage in the Aral Sea Basin showed an upward trend of 17.77% from 2000 to 2018. Finally, the main driving factor of vegetation cover changes in the Aral Sea Basin is the migration of cultivated land to the desert.

摘要

背景

随着水资源的显著减少,天然植被退化也在咸海流域引发了许多广泛的环境问题。然而,很少有研究考察咸海流域的长期植被动态,或在计算植被覆盖分数时区分天然植被和耕地。

方法

基于多时相中等分辨率成像光谱仪,本研究通过将线性光谱混合模型引入谷歌地球引擎平台来考察天然植被覆盖情况,这大大减少了实验时间。此外,采用趋势线分析、森趋势分析和曼-肯德尔趋势检验方法,探究2000年至2018年咸海流域天然植被覆盖变化特征。

结果

结果分析得出三个主要结论。第一,沙漠地区灌溉农业的发展是下游水量减少的主要原因。第二,随着水量减少,咸海流域天然植被覆盖在2000年至2018年呈上升趋势,增幅为17.77%。最后,咸海流域植被覆盖变化的主要驱动因素是耕地向沙漠的迁移。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4891/7934649/3dac03afb549/peerj-09-10747-g001.jpg

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