Estimating aboveground green biomass in desert steppe using band depth indices

doi:10.1016/j.biosystemseng.2014.08.014

	Estimating aboveground green biomass in desert steppe using band depth indices
	Ren, Hongrui ; Zhou, Guangsheng 1,2
	2014
发表期刊	BIOSYSTEMS ENGINEERING
ISSN	1537-5110
卷号	127 页码:67-78
摘要	Estimation of aboveground green biomass is essential for evaluating grassland productivity and functioning. This study aimed to explore the potential of band depth indices for estimating aboveground green biomass in grassland with low canopy cover. Field spectral and biomass measurements were conducted during 2009 and 2010 growing seasons in desert steppe of Inner Mongolia. Band depth (BD), band depth ratio (BDR), normalised band depth index (NBDI), band depth normalised to area (BNA), maximum band depth (EDmax), and area of absorption region (BDarea) extracted from red absorption region (650-740 nm) were utilised as band depth indices. Results indicated that: (1) BD at individual bands between 655 and 716 nm showed good accuracy for aboveground green biomass estimation; (2) BD at 698 nm yielded the best accuracy (R-2 = 0.7, RMSECV = 29.6 g m(-2) for calibration; RMSE = 32.4 g m(-2), rRMSE = 26.9% for validation); (3) BDR, NBDI, and BNA at all bands were not reliable estimators of aboveground green biomass (R-2 < 0.3, RMSECV > 45 g m(-2) for calibration; RMSE > 46 g m(-2), rRMSE > 39% for validation); (4) although the performance of BDmax (R-2 = 0.65, RMSECV = 32.1 g m(-2) for calibration; RMSE = 34.5 g m(-2), rRMSE = 28.7% for validation) and BDarea (R-2 = 0.69, RMSECV = 30.2 g m(-2) for calibration; RMSE = 33.1 g m(-2), rRMSE = 27.6% for validation) was slight lower than that of BD698nm, the performance was far better than that of BDR, NBDI, and BNA. Our results suggest that BD698nm has good potential to estimate aboveground green biomass in grassland with low canopy cover. The performance of BD698nm needs to be further tested using space-borne hyperspectral images. (C) 2014 IAgrE. Published by Elsevier Ltd. All rights reserved.
关键词	Desert steppe Aboveground green biomass Hyperspectral remote sensing Band depth indices Continuum removal
学科领域	Agricultural Engineering ; Agriculture, Multidisciplinary
DOI	10.1016/j.biosystemseng.2014.08.014
收录类别	SCI
语种	英语
WOS关键词	RED-EDGE POSITION ; LEAST-SQUARES REGRESSION ; VEGETATION INDEXES ; HYPERSPECTRAL DATA ; NATIONAL-PARK ; IMAGING SPECTROMETRY ; ABSORPTION FEATURES ; SPECTRAL INDEXES ; PASTURE QUALITY ; REFLECTANCE
WOS研究方向	Agriculture
WOS记录号	WOS:000344431200006
出版者	ACADEMIC PRESS INC ELSEVIER SCIENCE
文献子类	Article
出版地	SAN DIEGO
EISSN	1537-5129
资助机构	National Natural Science Foundation of China [41301053] ; Natural Science Foundation of Shanxi [2013021030-1]
作者邮箱	hrren@126.com ; gszhou@ibcas.ac.cn
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/27266
专题	植被与环境变化国家重点实验室
作者单位	1.Taiyuan Univ Technol, Coll Min Engn, Dept Sci & Technol Surveying & Mapping, Taiyuan 030024, Peoples R China 2.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
推荐引用方式 GB/T 7714	Ren, Hongrui,Zhou, Guangsheng. Estimating aboveground green biomass in desert steppe using band depth indices[J]. BIOSYSTEMS ENGINEERING,2014,127:67-78.
APA	Ren, Hongrui,&Zhou, Guangsheng.(2014).Estimating aboveground green biomass in desert steppe using band depth indices.BIOSYSTEMS ENGINEERING,127,67-78.
MLA	Ren, Hongrui,et al."Estimating aboveground green biomass in desert steppe using band depth indices".BIOSYSTEMS ENGINEERING 127(2014):67-78.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Estimating_abovegrou（957KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文