Estimating Canopy Characteristics of Inner Mongolia's Grasslands from Field Spectrometry
文献类型：期刊论文
| 作者 | Zhang, Feng; John, Ranjeet1; Zhou, Guangsheng2; Shao, Changliang; Chen, Jiquan1,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2014 |
| 卷号 | 6期号:3页码:2239-2254 |
| 关键词 | reflectance spectra vegetation biophysical characteristics hyperspectral field spectroscopy vegetation indices continuum removal spectra |
| DOI | 10.3390/rs6032239 |
| 文献子类 | Article |
| 英文摘要 | This study was designed to estimate the canopy biophysical characteristics of semi-arid grassland ecosystems by using in situ field spectrometry measurements to identify important spectral information for predictions at broader spatial scales. Spectral vegetation indices (VIs), reflectance spectra, continuum removal spectra, and the amplitude of the red edge peak (dr(re)) based on 61 well-replicated field measurements across a large area in Inner Mongolia were used to develop empirical models for estimating four key canopy biophysical features: percent green coverage (PGC), canopy height (H), green aboveground biomass (GBM), and total aboveground biomass (TBM). The results showed that NDVI, EVI, NDSVI, and LSWI were useful for estimating canopy biophysical features, with NDSVI being the most significant variable. The PGC was accurately estimated with spectral reflectance at 441 nm and 2220 nm (R-2 = 0.71), while the maximum depth of band (D-c), absorption area (D-area) in the red domain and dr(re) were selected for estimating TBM and GBM (R-2 = 0.51 and 0.44). Among the four canopy features, PGC received the highest confidence from all of the models (R-2 = 0.81), while H was the most difficult to estimate (R-2 = 0.49). Finally, the degree of disturbances and ecosystem types appeared to be a significant variable for model development. |
| 学科主题 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 出版地 | BASEL |
| 电子版国际标准刊号 | 2072-4292 |
| WOS关键词 | BAND VEGETATION INDEXES ; RED EDGE POSITION ; LEAF-AREA INDEX ; DESERT STEPPE ; ABSORPTION FEATURES ; CHLOROPHYLL CONTENT ; REFLECTANCE ; BIOMASS ; VARIABILITY ; RESPONSES |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000334797000024 |
| 出版者 | MDPI |
| 资助机构 | State Key Development Program of Basic Research [2010CB951303] ; LCLUC Program of the National Aeronautics and Space Administration (NASA) [NN-H-04-Z-YS-005-N] ; R&D special fund for the public welfare industry (meteorology) project [GYHY201106027] ; CHN Program of the NSF ; IceMe of NUIST |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/27126]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 2.Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA 3.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China 4.Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Int Ctr Ecol Meteorol & Environm, Nanjing 210044, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Feng,John, Ranjeet,Zhou, Guangsheng,et al. Estimating Canopy Characteristics of Inner Mongolia's Grasslands from Field Spectrometry[J]. REMOTE SENSING,2014,6(3):2239-2254. |
| APA | Zhang, Feng,John, Ranjeet,Zhou, Guangsheng,Shao, Changliang,&Chen, Jiquan.(2014).Estimating Canopy Characteristics of Inner Mongolia's Grasslands from Field Spectrometry.REMOTE SENSING,6(3),2239-2254. |
| MLA | Zhang, Feng,et al."Estimating Canopy Characteristics of Inner Mongolia's Grasslands from Field Spectrometry".REMOTE SENSING 6.3(2014):2239-2254. |
入库方式： OAI收割
来源：植物研究所
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