Evaluation of the possibility of vegetation interpretation on thermal infrared satellite images, case of the Southern Urals and Kuznetsk Alatau

M. Grishchenko, D. Lucher, M. Bocharnikov
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引用次数: 1

Abstract

The paper presents the results of the vegetation cover interpretation using multitemporal thermal satellite images of two mountain-steppe areas: in the Southern Urals (Abzelilovsky district of the Republic of Bashkortostan) and in Kuznetsk Alatau (Ust-Abakansky and Shirinsky districts of the Republic of Khakassia). These areas have a large amount of field data on vegetation, which allows for reliable verification of satellite data. On the basis of field data and images of high spatial resolution in the optical range, vegetation maps were compiled, which became the basis for further interpretation of thermal images—images of the TIRS sensor, Landsat 8 satellite, were used. Methods of controlled and uncontrolled classification were applied to multitemporal images. In the course of the study, it was possible to establish that, based on the results of vegetation interpretation using thermal satellite images for a site in the South Urals, it is possible to determine forest areas with good reliability (up to 50–70 %), and confidently draw the border between forest and treeless areas. With satisfactory accuracy (up to 44 %), petrophytic steppes are determined. The site in the Southern Urals is characterized by a small size of the territory, a low diversity of plant communities, and rather a large dependence of the intensity of thermal radiation on the exposure of slopes. The site in Kuznetsk Alatau showed more representative interpretation results. Larch and birch-larch forests (up to 70 %), fir and birch-fir forests (up to 56 %), dwarf birch and moss-lichen tundras (up to 49 %), and steppe vegetation (up to 45 %) are most confidently recognized.
热红外卫星影像植被解译的可能性评价,以乌拉尔南部和库兹涅茨克地区为例
本文介绍了两个山地草原地区的植被覆盖解译结果:乌拉尔南部(巴什科尔托斯坦共和国的Abzelilovsky地区)和库兹涅茨克阿拉托(哈卡斯共和国的uast - abakansky和Shirinsky地区)。这些地区有大量关于植被的实地数据,可以对卫星数据进行可靠的核实。在野外数据和光学范围内高空间分辨率影像的基础上,编制植被图,作为进一步解译热像的基础——利用Landsat 8卫星的TIRS传感器影像。对多时相图像进行了受控分类和非受控分类。在研究过程中,有可能确定,根据使用热卫星图像对南乌拉尔一个地点的植被解释的结果,有可能以良好的可靠性(高达50 - 70%)确定森林区域,并自信地绘制森林和无树区域之间的边界。以令人满意的准确度(高达44%),确定了岩生草原。该基地位于乌拉尔南部,其特点是面积小,植物群落多样性低,热辐射强度很大程度上依赖于斜坡的暴露。库兹涅茨克阿拉托地区的解释结果更具代表性。落叶松和桦木-落叶松森林(高达70%),冷杉和桦木-冷杉森林(高达56%),矮桦木和苔藓苔原(高达49%),以及草原植被(高达45%)是最自信的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
2
审稿时长
8 weeks
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