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, Mobiishir Riaz; Khan, Iftikhar Ahmad; Baig, Muhammad Hasan Ali; Liu, Zheng-jia; Ashraf, Muhammad Irfan |
刊名 | JOURNAL OF MOUNTAIN SCIENCE
![]() |
出版日期 | 2020 |
卷号 | 17期号:12页码:2880-2896 |
关键词 | Field inventory Forest Biomass Sentinel 2A AGB Modelling Spectral features Textures |
ISSN号 | 1672-6316 |
DOI | 10.1007/s11629-019-5968-8 |
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.l 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. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.imde.ac.cn/handle/131551/57068] ![]() |
专题 | Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.12 |
推荐引用方式 GB/T 7714 | Khan, Mobiishir 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):2880-2896. |
APA | Khan, Mobiishir Riaz,Khan, Iftikhar Ahmad,Baig, Muhammad Hasan Ali,Liu, Zheng-jia,&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),2880-2896. |
MLA | Khan, Mobiishir 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):2880-2896. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。