Mapping Opencast Iron Mine and Mine Solid Waste Based on a New Spectral Index From Medium Spatial Resolution Satellite Data
Autor: | Yunhao Chen, Ying Li, Jiaqi Yu, Shengjun Gao, Kangning Li, Ruixuan Rao |
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Rok vydání: | 2021 |
Předmět: |
Atmospheric Science
Index (economics) QC801-809 Threshold limit value Geophysics. Cosmic physics spectral index Growing season Medium spatial resolution satellite data opencast iron mine and mine solid waste Ocean engineering spectral simulation Soil structure Cohen's kappa Range (statistics) Environmental science Computers in Earth Sciences TC1501-1800 Image resolution Air quality index Remote sensing |
Zdroj: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7788-7798 (2021) |
ISSN: | 2151-1535 1939-1404 |
DOI: | 10.1109/jstars.2021.3098801 |
Popis: | Opencast iron mine and mine solid waste (OIM-MSW) are closely associated with a wide range of environmental issues, such as destroying soil structure, affecting air quality, and damaging biodiversity. Therefore, accurately grasping the distribution of OIM-MSW is of great significance to monitoring and managing environmental conditions. In order to reduce the impact of background features on the identification of OIM-MSW, we constructed an index based on medium spatial resolution satellite data, and proposed a semiautomatic method to determine the threshold value of the index. Experimental results indicated that: 1) The proposed index (OIM-MSWI) can effectively identify the OIM-MSW of which the OA (overall accuracy) and K (kappa coefficient) value are 0.98 and 0.75, respectively. 2) The index owns satisfying performance in identifying OIM-MSW in different months, and its recognition ability in plant growing season is better than that in the nonplant growing season. 3) Both Landsat 8 images and Sentinel 2 images have the potential to identify OIM-MSW via the proposed index, but the recognition accuracy of Landsat 8 images (OA = 0.98, K = 0.75) is slightly better than Sentinel 2 images (OA = 0.96, K = 0.64). (4) OIM-MSWI is effective in different climatic conditions, with OA and K of 0.98, 0.75 and 0.97, 0.63 in the cases of semiarid and humid zones, respectively. In conclusion, OIM-MSWI is a simple and effective index for identifying OIM-MSW, and can provide support for OIM-MSW monitoring and management. |
Databáze: | OpenAIRE |
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