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Vegetation Cover Change Monitoring Applying Satellite Data During 1972 to 2007

机译:1972年至2007年期间应用卫星数据进行植被覆盖变化监测

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One of the influential tools in the study field of pasture and vegetation cover science is technology of remote sensing and satellite data. Satellite data have essential role in preparing needed information for different vegetation aspects studying. One of the applications of satellite data is to prepare the vegetation cover percentage map. In this studying order to prepare the vegetation cover crown percentage maps of Mouteh wildlife refuge between 1972 and 2007, the satellite data were used. Vegetation indices were produced using MSS sensors for 1972, TM for 1987, TM for 1998 and image of LISS III sensor for 2007. In this study cover crown percentage Map was provided by using indices, which could decrease the soil reflectance. At first corrections was performed on each images. To make correlation between cover crown percentage and satellite data, 290 plot data with appropriate distribution across the region were collected. By using data and several image processing cover crown percentage was estimated for previous years. For each image cover crown percentage models were produced by simple linear regression between produced vegetation indices from each image and field data calculated. Regarding to data analysis SAVI plant index had the highest correlation with cover crown percentage and selected for producing vegetation crown cover percentage. Using produced model from SAVI index vegetation crown, cover percentage maps were produced in four classes percentage for each year. Results showed that cover crown percentage had decreasing trend in this period.
机译:草地和植被覆盖科学研究领域的影响力工具之一是遥感和卫星数据技术。卫星数据在为不同植被方面的研究准备所需信息方面具有至关重要的作用。卫星数据的应用之一是准备植被覆盖率图。在这项研究中,为了准备1972年至2007年之间Mouteh野生动物保护区的植被覆盖树冠百分比图,使用了卫星数据。使用1972年的MSS传感器,1987年的TM,1998年的TM和2007年的LISS III传感器产生植被指数。在本研究中,使用指数提供了覆盖冠百分比图,这可能会降低土壤反射率。首先,对每个图像进行校正。为了使覆盖冠百分比与卫星数据之间具有相关性,收集了290个在整个区域具有适当分布的地块数据。通过使用数据和一些图像处理,可以估算出前几年的冠冠百分比。对于每个图像覆盖率,通过从每个图像产生的植被指数与计算出的田间数据之间的简单线性回归,可以生成冠冠百分比模型。关于数据分析,SAVI植物指数与冠冠百分比具有最高的相关性,并被选择用于产生植被冠冠百分比。使用从SAVI指数植被冠中产生的模型,每年制作四类百分比的覆盖百分比图。结果表明,在此期间盖冠率有下降的趋势。

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