干旱区生态环境知识资源中心(Arid): Assessing the accuracy of spectral indices obtained from Sentinel images using field research to estimate land degradation

Arid

DOI	10.1371/journal.pone.0305758
	Assessing the accuracy of spectral indices obtained from Sentinel images using field research to estimate land degradation
	Ebrahimi, Akhtar; Zolfaghari, Farhad; Ghodsi, Marzieh; Narmashiri, Fatemeh
通讯作者	Zolfaghari, F
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2024
卷号	19 期号:7
英文摘要	Wind erosion resulting from soil degradation is a significant problem in Iran's Baluchistan region. This study evaluated the accuracy of remote sensing models in assessing degradation severity through field studies. Sentinel-2 Multispectral Imager's (MSI) Level-1C satellite data was used to map Rutak's degradation severity in Saravan. The relationship between surface albedo and spectral indices (NDVI, SAVI, MSAVI, BSI, TGSI) was assessed. Linear regression establishes correlations between the albedo and each index, producing a degradation severity map categorized into five classes based on albedo and spectral indices. Accuracy was tested with 100 ground control points and field observations. The Mann-Whitney U-Test compares remote sensing models with field data. Results showed no significant difference (P > 0.05) between NDVI, SAVI, and MSAVI models with field data, while BSI and TGSI models exhibited significant differences (P <= 0.001). The best model, BSI-NDVI, achieves a regression coefficient of 0.86. This study demonstrates the advantage of remote sensing technology for mapping and monitoring degraded areas, providing valuable insights into land degradation assessment in Baluchistan. By accurately identifying severity levels, informed interventions can be implemented to mitigate wind erosion and combat soil degradation in the region.
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001277540300097
WOS关键词	MONITORING DESERTIFICATION ; SANDY LAND ; DYNAMICS ; REGION ; CHINA
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405193
推荐引用方式 GB/T 7714	Ebrahimi, Akhtar,Zolfaghari, Farhad,Ghodsi, Marzieh,et al. Assessing the accuracy of spectral indices obtained from Sentinel images using field research to estimate land degradation[J],2024,19(7).
APA	Ebrahimi, Akhtar,Zolfaghari, Farhad,Ghodsi, Marzieh,&Narmashiri, Fatemeh.(2024).Assessing the accuracy of spectral indices obtained from Sentinel images using field research to estimate land degradation.PLOS ONE,19(7).
MLA	Ebrahimi, Akhtar,et al."Assessing the accuracy of spectral indices obtained from Sentinel images using field research to estimate land degradation".PLOS ONE 19.7(2024).