基于MODIS数据的泰国林地资源提取[泰语论文]

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摘要:遥感技术的发展为我们对世界资源的探讨提供了新的手段,克服了世界资源探讨过程中数据缺乏的困难。泰国曾经是林地资源丰富的国家,泰语毕业论文泰语论文范文,尤其是热带林地资源,但是近几十年来林地面积在不断减少,带来了一系列生态问题。选用MOD09Q1的1、2波段,MOD09A1的第6波段以及MOD11A2数据产品提取泰国林地分布情况。由于泰国地处热带地区云雾噪音为林地的提取造成了很大的不确定性,为了有效去除云雾噪音作用,结合NDVI、NDSI、LST多参数在林地提取中的优势对泰国林地进行提取。采用泰国2003年统计年鉴提供的分省林地面积以及2003年p131r47和p131r48共2景ETM影像进行了精度验证。结果表明,利用多参数综合分类措施对林地提取精度较高,通过与2003年统计年鉴数据进行回归略论发现二者存在明显的线性关系,决定系数达到0。9264。

Abstract:The development of remote sensing technology provides a new means for us to study the world's resources, overcome the lack of data resource research in the world is difficult. Thailand was once the forest resource rich countries, especially tropical forest resources, but in recent decades the forest area is decreasing, brought a series of ecological problems. The selection of MOD09Q1 1, MOD09A1 2 band, sixth bands and MOD11A2 data products from Thailand forest distribution. Because Thailand is located in the tropical area cloud noise is extracted from the woodland caused great uncertainty, in order to effectively remove the noise of fog, combined with multi parameters of NDVI, NDSI, lst advantages in the extraction of woodland of the Thai forest were extracted. Thailand province forest area divided by the statistical yearbook in 2003 and 2003 to provide p131r47 and p131r48 total of 2 ETM images were verified. The results show that the high precision using the multi parameter comprehensive classification method to extract forest, regression analysis found that there is obvious linear relationship between two and 2003 by statistical data, the coefficient of determination is 0. 9264.

引言:1引言世界资源探讨作为地理科学的一个分支在我国一直是一个比较薄弱的环节,其中一个重要的原因就是数据获取方面的困难。近几年来遥感技术飞速发展,它作为一种新兴的信息获取技术,可以以多种光谱、高时间分辨率和空间分辨率获取地球表面信息,为我们对世界资源的探讨提供了重

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