| 基于遥感图像不同辐射校正水平的植被覆盖度估算模型 |
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| 引用本文： | 顾祝军,曾志远,史学正,于东升,郑伟,张振龙,胡子付.基于遥感图像不同辐射校正水平的植被覆盖度估算模型[J].应用生态学报,2008,19(6):1296-1302. |
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| 作者姓名： | 顾祝军 曾志远 史学正 于东升 郑伟 张振龙 胡子付 |
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| 作者单位： | 1.中国科学院南京土壤研究所土壤与农业可持续发展国家重点实验室，; 南京 210008；;2.南京师范大学地理科学学院， 南京 210097；;3.中国科学院;研究生院， 北京 100039 |
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| 基金项目： | 国家自然科学基金
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国家重点基础研究发展计划(973计划) |
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| 摘 要： | 选用南京市SPOT 5 HRG图像的地物反射率(PAC)、表观反射率(TOA)和灰度值（DN）影像，提取了4种植被指数（VI），即归一化植被指数（NDVI）、转换植被指数（TVI）、土壤调节植被指数（SAVI）和修正的土壤调节植被指数（MSAVI），与地面实测的植被覆盖度进行了回归分析，并建立了36个VI-VFC关系模型.结果表明：在所有模型中，基于PAC级影像提取的NDVI和TVI的3次多项式模型最优；其次为基于DN级影像提取的SAVI和MSAVI的3次多项式模型，在VFC>0.8时其精度略高于前两种模型.这4个模型在植被中等密集区域（VFC＝0.4～0.8）的精度高于植被稀疏区域（VFC=0～0.4）.所建模型可通过中间模型的联结，进行推广使用.在基于VI-VFC关系建模过程中，基于遥感影像不同辐射校正水平提取植被指数，有利于充分挖掘遥感影像信息，进而提高VFC估算的精度.
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| 关 键 词： | 汞赋存形态 土壤 生物可利用性 三峡水库 干湿交替 |
| 文章编号： | 1001-9332(2008)06-1296-07 |
| 收稿时间： | 2007-07-20 |
| 修稿时间： | 2007年7月20日 |
Estimation models of vegetation fractional coverage (VFC) based on remote sensing image at different radiometric correction levels. |
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| GU Zhu-jun,ZENG Zhi-yuan,SHI Xue-zheng,YU Dong-sheng,ZHENG Wei,ZHANG Zhen-long,HU Zi-fu.Estimation models of vegetation fractional coverage (VFC) based on remote sensing image at different radiometric correction levels.[J].Chinese Journal of Applied Ecology,2008,19(6):1296-1302. |
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| Authors: | GU Zhu-jun ZENG Zhi-yuan SHI Xue-zheng YU Dong-sheng ZHENG Wei ZHANG Zhen-long HU Zi-fu |
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| Affiliation: | 1.State Key Laboratory of Soil and Sustainable Agriculture, Institute of; Soil Science, Chinese Academy of Sciences, Nanjing 210008, China;2.School; of Geography Science, Nanjing Normal University, Nanjing 210097, China;3.;Graduate University of Chinese Academy of Sciences, Beijing 100039, China; |
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| Abstract: | The images of post atmospheric correction reflectance (PAC), top of atmosphere reflectance (TOA), and digital number (DN) of a SPOT5 HRG remote sensing image of Nanjing, China were used to derive four vegetation indices (VIs), i. e., normalized difference vegetation index (NDVI), transformed vegetation index (TVI), soil-adjusted vegetation index (SAVI), and modified soil-adjusted vegetation index (MSAVI), and 36 VI-VFC relationship models were established based on these VIs and the VFC data obtained from ground measurement. The results showed that among the models established, the cubic polynomial models based on NDVI and TVI from PAC were the best, followed by those based on SAVI and MSAVI from DN, with the accuracy being slightly higher than that of the former two models when VFC > 0.8. The accuracy of these four models was higher in middle-densely vegetated areas (VFC = 0.4-0.8) than in sparsely vegetated areas (VFC = 0-0.4). All the established models could be used in other places via the introduction of calibration models. In VI-VFC modeling, using VIs derived from different radiometric correction levels of remote sensing image could help mining valuable information from remote sensing image, and thus, improving the accuracy of VFC estimation. |
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| Keywords: | mercury species soil bioavailability Three Gorges Area wet-dry cycle |
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