Estimating aboveground green biomass in desert steppe using band depth indices
文献类型：期刊论文
| 作者 | Ren, Hongrui; Zhou, Guangsheng1,2 |
| 刊名 | BIOSYSTEMS ENGINEERING
 |
| 出版日期 | 2014 |
| 卷号 | 127页码:67-78 |
| 关键词 | Desert steppe Aboveground green biomass Hyperspectral remote sensing Band depth indices Continuum removal |
| ISSN号 | 1537-5110 |
| DOI | 10.1016/j.biosystemseng.2014.08.014 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | Agricultural Engineering ; Agriculture, Multidisciplinary |
| 出版地 | SAN DIEGO |
| 电子版国际标准刊号 | 1537-5129 |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000344431200006 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 资助机构 | National Natural Science Foundation of China [41301053] ; Natural Science Foundation of Shanxi [2013021030-1] |
| 源URL | [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. |
入库方式： OAI收割
来源：植物研究所
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