| 基于MODIS数据的生物保护区域土地覆被分类 |
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| 引用本文： | 刘伟,冯学智,肖鹏峰,徐海根.基于MODIS数据的生物保护区域土地覆被分类[J].江西师范大学学报(自然科学版),2006,30(2):201-204,F0003. |
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| 作者姓名： | 刘伟 冯学智 肖鹏峰 徐海根 |
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| 作者单位： | 1. 南京大学,城市与资源学系,江苏,南京,210093
2. 国家环保保护总局,南京环境科学研究所,江苏,南京,210042 |
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| 基金项目： | “十五”国家攻关资助课题(2003BA614A-07) |
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| 摘 要： | 中分辨率(250 m和500 m)MODIS数据比1 km分辨率的AVHRR具有更高的空间和光谱分辨率,在区域尺度上土地利用/覆盖得到了广泛的应用.该文主要探讨了如何在生物保护中利用MODIS数据获得区域土地覆被分类信息.采用决策树和最大似然法相结合的分类方法,对MODIS数据进行了生物保护区域土地覆被分类制图,并利用Landsat TM土地覆被制图作为参考数据对MODIS数据土地覆被制图进行了精度评价.结果表明,利用MODIS数据在区域尺度上可以获取令人满意的土地覆被分类.
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| 关 键 词： | 土地利用/覆盖 MODIS数据 精度评价 云南生物保护区 LandsatTM |
| 文章编号： | 1000-5862（2006）02-0201-05 |
| 收稿时间： | 2005-04-27 |
| 修稿时间： | 2005-04-27 |
Classification of Regional Land Cover with MODIS Data for Biological Conservation |
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| LIU Wei,FENG Xue-zhi,XIAO Peng-feng,XU Hai-gen.Classification of Regional Land Cover with MODIS Data for Biological Conservation[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2006,30(2):201-204,F0003. |
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| Authors: | LIU Wei FENG Xue-zhi XIAO Peng-feng XU Hai-gen |
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| Institution: | 1.Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, China; 2. Nanjing Institute of Environment Sciences, State Enxironment Protection Administration of China, Nanjing 210042, China |
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| Abstract: | The paper investigated the application of MODIS data for classification of regional land cover at moderate resolution(250 m and 500 m),for regional conservation purposes.Land cover map of classification was generated for major biological conservation areas in Yunnan province using MODIS data and decision tree joined maximum likelihood classifications.The MODIS land cover products were evaluated using Landsat TM land cover map as reference data.Result showed that the MODIS land cover was very successful at mapping extensive cover types and far less successful at mapping smaller habitats that are smaller than the MODIS pixels,but are reported to be very important to biodiversity conservation.This study showed the value of using MODIS data for biological conservation.MODIS data provide new options for regional land cover mapping that are less labor-intensive than Landsat and have higher resolution than previous 1 km AVHRR or the current 1 km global land cover product. |
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| Keywords: | land cover classification MODIS data Accuracy assessment Yunnan biological conservation areas Landsat TM |
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