遥感技术和光谱分析在土壤重金属含量评估中的应用——以波兰Barania Góra保护区为例

Q3 Social Sciences
S. Sobura, B. Hejmanowska, M. Widłak, J. Muszyńska
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引用次数: 1

摘要

了解农田过程的空间和时间动态对于确保适当的作物监测和早期决策至关重要,这是支持农业高效资源管理所必需的。通过制定适当的作物管理策略,可以提高收获效率,同时减少成本、浪费、化学喷洒,并抑制生物和非生物因素对作物胁迫的影响。只有可靠的空间信息才能理解各种因素对环境的影响。论文中提出的研究的主要目的是评估使用植被和土壤指数地图的可能性,如NDVI、SAVI、IRECI、CIred edge、PSRI和HMSSI,这些地图是根据哨兵2号卫星的图像计算的,定性确定波兰Barania Góra自然保护区周围小型农业地块土壤中重金属含量的增加。所进行的试点项目表明,根据Sentinel-2的图像计算的光谱指数:NDVI、SAVI、IRECI、CIred-edge、PSRI和HMSSI,有可能评估镍锌含量,农田土壤中的铬和钴。然而,确认所获得的结果需要继续进行研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Remote Sensing Techniques and Spectral Analyzes to Assess the Content of Heavy Metals in Soil – A Case Study of Barania Góra Reserve, Poland
The understanding of the spatial and temporal dynamics of farmland processes is essential to ensure the proper crop monitoring and early decision making needed to support efficient resource management in agriculture. By creating appropriate crop management strategies, one can increase harvest efficiency while reducing costs, waste, chemical spraying, and inhibiting the impact of biotic and abiotic factors on crop stress. Only reliable spatial information makes it possible to comprehend the influence of various factors on the environment. The main objective of the research presented in the paper was to assess the possibility of using maps of vegetation and soil indices, such as NDVI, SAVI, IRECI, CIred-edge, PSRI and HMSSI, calculated on the basis of images from the Sentinel-2 satellite, to qualitatively determine the increased amount of heavy metals in the soil in the areas of small agricultural plots around the Barania Góra nature reserve in Poland.The conducted pilot project shows that the spectral indices: NDVI, SAVI, IRECI, CIred-edge, PSRI, and HMSSI, calculated on the basis of images from Sentinel-2, have the potential to assess the content of nickel zinc, chromium and cobalt in the soil on agricultural plots. However, the confirmation of the obtained results requires continuation of the research.
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来源期刊
Geomatics and Environmental Engineering
Geomatics and Environmental Engineering Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
2.30
自引率
0.00%
发文量
27
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