利用“修改型”植被盖度反演模型提取辽西北沙化土地信息
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摘要
以辽西北为研究区域,选取2017年6月Landsat-8 OLI影像作为基本数据源,引入面向对象多尺度分割技术,利用水体指数、居民地指数、植被指数、形状指数相结合的二值逻辑运算方法提取出沙化土地信息。基于二阶抽样与遥感影像谱间结构相结合,构建"修改型"植被盖度反演模型,从而实现沙化土地信息的分等定级提取。研究结果表明:该方法可以排除提取地物时的干扰信息,实现沙化土地信息的自动、准确提取。
Taking the northwest of Liaoning Province as the study area,from June of 2017 Landsat-8 OLI images as the basic data source,we introduce the object oriented multi-scale segmentation technique,combined with the use of the water index,residential index,vegetation index,shape index of two value logic method to extract information of land desertification.Based on the combination of two order sampling and remote sensing image structure,a modified vegetation coverage inversion model is constructed to realize the classification and extraction of desertification land information. The results show that this method can eliminate the disturbance information and realize the automatic and accurate extraction of the information of the desertification land.
Taking the northwest of Liaoning Province as the study area,from June of 2017 Landsat-8 OLI images as the basic data source,we introduce the object oriented multi-scale segmentation technique,combined with the use of the water index,residential index,vegetation index,shape index of two value logic method to extract information of land desertification.Based on the combination of two order sampling and remote sensing image structure,a modified vegetation coverage inversion model is constructed to realize the classification and extraction of desertification land information. The results show that this method can eliminate the disturbance information and realize the automatic and accurate extraction of the information of the desertification land.
引文
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[2]张端阳,潘振祥.遥感技术在矿业活动动态监测中的应用[J].测绘通报,2015(6):72-74.
[3]吴见,彭道黎.土地沙化遥感信息提取技术研究进展[J].世界林业研究,2009,22(4):47-52.
[4]王炜航,王咏林,赵净民.辽西北地区土地沙漠化现状及防治对策[J].地质与资源,2010,19(1):50-52.
[5]朱爽,张锦水.面向省级农作物种植面积遥感估算的分层方法[J].农业工程学报,2013,29(2):184-191.
[6]宋翠玉,李培军,杨锋杰,等.基于多元局部二值模式的遥感图像纹理提取与分类[J].遥感技术与应用,2011,26(3):322-327.
[7]李慧,唐韵玮,刘庆杰,等.一种改进的基于最小生成树的遥感影像多尺度分割方法[J].测绘学报,2015,44(7):791-796.
[8]QIAO C,LUO J,SHENG Y,et al.An Adaptive Water Extraction Method from Remote Sensing Image Based on NDWI[J].Journal of the Indian Society of Remote Sensing,2012,40(3):421-433.
[9]熊俊楠,韦方强,江玉红,等.基于谱间特征与多种指数分析的居民地信息提取方法[J].测绘科学,2013,38(2):311-320.
[10]KE Y,IM J,LEE J,et al.Characteristics of Landsat 8OLI-derived NDVI by Comparison with Multiple Satellite Sensors and In-situ Observations[J].Remote Sensing of Environment,2015,164:298-313.
[11]张雨霁,李海涛,顾海燕.基于决策树的面向对象变化信息自动提取研究[J].遥感信息,2011(2):91-94.
[12]莫蓁蓁,贺丽敏,李振山.干旱区沙质草地植被覆盖变化模拟:Ⅱ.应用[J].中国沙漠,2008,28(3):423-429.
[13]王海宾,黄国胜,程志楚,等.基于多源遥感数据森林盖度的尺度转换[J].东北林业大学学报,2014(9):58-61.
[14]江洪,王钦敏,汪小钦,等.多山地区植被覆盖度遥感估算研究[C]∥全国遥感技术学术交流会.贵阳:贵州人民出版社,2005:141-145.
[15]何颖清,秦雁,扶卿华,等.动态端元组合混合像元分解法在植被覆盖度动态监测中的应用:以长汀县为例[J].热带地理,2016,36(5):860-868.
[16]李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.
[17]LAOSUWAN T,UTTARUK P.Estimating Tree Biomass via Remote Sensing,MSAVI 2,and Fractional Cover Model[J].Iete Technical Review,2014,31(5):362-368.