Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest
文献类型：期刊论文
| 作者 | Khan Mobushir Riaz1; Khan Iftikhar Ahmad2; Baig Muhammad Hasan Ali3; Liu Zhengjia4 ; Ashraf Muhammad Irfan5
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| 刊名 | Journal of Mountain Science
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| 出版日期 | 2020 |
| 卷号 | 17期号:12页码:2880 |
| 关键词 | Field inventory Forest Biomass Sentinel 2A AGB Modelling Spectral features Textures |
| ISSN号 | 1672-6316 |
| 英文摘要 | The Sentinel-2A satellite having embedded advantage of red edge spectral bands offers multispectral imageries with improved spatial, spectral and temporal resolutions as compared to the other contemporary satellites providing medium resolution data. Our study was aimed at exploring the potential of Sentinel-2A imagery to estimate Above Ground Biomass (AGB) of Subtropical Pine Forest in Pakistan administered Kashmir. We developed an AGB predictive model using field inventory and Sentinel 2A based spectral and textural parameters along with topographic features derived from ALOS Digital Elevation Model (DEM). Field inventory data was collected from 108 randomly distributed plots (0.1 ha each) across the study area. The stepwise linear regression method was employed to investigate the potential relationship between field data and corresponding satellite data. Biomass and carbon mapping of the study area was carried out through established AGB estimation model with R (0.86), R~2 (0.74), adjusted R~2 (0.72) and RMSE value of 33 t/ha. Our results showed that first order textures (mean, standard deviation and variance) significantly contributed in AGB predictive modeling while only one spectral band ratio made contribution from spectral domain. Our study leads to the conclusion that Sentinel-2A optical data is a potential source for AGB estimation in subtropical pine forest of the area of interest with added benefit of its free of cost availability, higher quality data and long-term continuity that can be utilized for biomass carbon distribution mapping in the resource constraint study area for sustainable forest management. |
| 语种 | 英语 |
| WOS记录号 | WOS:000601557200002 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136014]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 作者单位 | 1.查尔斯史都华大学 2.Institute of Geo-information & Earth Observation, Arid Agriculture University Rawalpindi, Pakistan & Department of Forest, Azad Jammu & Kashmir 3.Institute of Geo-information & Earth Observation , PMAS Arid Agriculture University 4.中国科学院地理科学与资源研究所 5.Department of Forestry & Range Management, PMAS Arid Agriculture University |
| 推荐引用方式 GB/T 7714 | Khan Mobushir Riaz,Khan Iftikhar Ahmad,Baig Muhammad Hasan Ali,et al. Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest[J]. Journal of Mountain Science,2020,17(12):2880. |
| APA | Khan Mobushir Riaz,Khan Iftikhar Ahmad,Baig Muhammad Hasan Ali,Liu Zhengjia,&Ashraf Muhammad Irfan.(2020).Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest.Journal of Mountain Science,17(12),2880. |
| MLA | Khan Mobushir Riaz,et al."Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest".Journal of Mountain Science 17.12(2020):2880. |
入库方式： OAI收割
来源：地理科学与资源研究所
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