Analysis of the Impact of Species Composition, Projective Cover, and Phytomass of Vegetation in Arid Pasture Landscapes on Their Spectral Reflectance Properties Based on Ground Measurements

IF 0.6 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS
S. S. Shinkarenko, S. A. Bartalev
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Abstract

The intensification of pasture degradation in the southern part of European Russia, which is caused by unfavorable hydrothermal conditions and unregulated livestock numbers, requires the development of approaches to assess the capacity of forage lands using Earth remote sensing methods. The spectral reflectance properties of vegetation are determined by its taxonomic, structural, phenological, biophysical, and biochemical characteristics. However, the patterns of how these parameters affect the spectral response are region-specific and heavily influenced by soil cover. Therefore, it is essential to expand the regional scope of studies on the spectral reflectance properties of various vegetation types. This research is devoted to determining the spectral reflectance properties of natural zonal pastures in southern European Russia, based on geobotanical investigations and field spectrometry using the PSR-1100f instrument within the 320–1100 nm range. Groundwork was carried out in May (the period of maximum green mass of vegetation) 2020–2022 in the territories of natural zonal pastures in Astrakhan and Volgograd oblasts, Stavropol krai, and the Republics of Dagestan and Kalmykia. Significant differences were found between feather grasses, semishrubs, and annuals in the visible and near-ultraviolet spectral regions. Changes in the projective cover, under other equal conditions, have the most significant impact on spectral properties in the 660–670 nm range, which is consistent with the results of other researchers. Vegetation indices were identified that are best suited for determining projective cover and above-ground biomass of pastures with various dominant species. Further research will enable transitioning from point measurements of spectral reflectance and structural vegetation characteristics to satellite data with different spatial resolutions.

Abstract Image

基于地面测量分析干旱牧场景观中植被的物种组成、投影覆盖率和植被量对其光谱反射特性的影响
摘要 由于不利的水热条件和无节制的牲畜数量,俄罗斯欧洲南部地区的牧场退化加剧,因此需要制定方法,利用地球遥感方法评估牧场的能力。植被的光谱反射特性由其分类、结构、物候、生物物理和生物化学特征决定。然而,这些参数对光谱响应的影响模式因地区而异,并在很大程度上受到土壤覆盖的影响。因此,必须扩大对各种植被类型的光谱反射特性的区域研究范围。本研究致力于根据地理植物学调查和使用 PSR-1100f 仪器在 320-1100 纳米范围内进行的实地光谱测量,确定俄罗斯南欧天然带状牧场的光谱反射特性。2020-2022 年 5 月(植被绿量最大时期)在阿斯特拉罕州、伏尔加格勒州、斯塔夫罗波尔边疆区、达吉斯坦共和国和卡尔梅克共和国的天然带状牧场进行了实地考察。在可见光和近紫外光谱区域,羽状草、半灌木和一年生植物之间存在显著差异。在其他同等条件下,投影覆盖率的变化对 660-670 纳米波段的光谱特性影响最大,这与其他研究人员的结果一致。已确定的植被指数最适合用于确定具有各种优势物种的牧场的投影覆盖率和地上生物量。进一步的研究将有助于从光谱反射率和植被结构特征的点测量过渡到不同空间分辨率的卫星数据。
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来源期刊
Cosmic Research
Cosmic Research 地学天文-工程:宇航
CiteScore
1.10
自引率
33.30%
发文量
41
审稿时长
6-12 weeks
期刊介绍: Cosmic Research publishes scientific papers covering all subjects of space science and technology, including the following: ballistics, flight dynamics of the Earth’s artificial satellites and automatic interplanetary stations; problems of transatmospheric descent; design and structure of spacecraft and scientific research instrumentation; life support systems and radiation safety of manned spacecrafts; exploration of the Earth from Space; exploration of near space; exploration of the Sun, planets, secondary planets, and interplanetary medium; exploration of stars, nebulae, interstellar medium, galaxies, and quasars from spacecraft; and various astrophysical problems related to space exploration. A chronicle of scientific events and other notices concerning the main topics of the journal are also presented.
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