KARAKTERISKTIK BACKSCATTER CITRA ALOS PALSAR POLARISASI HH DAN HV TERHADAP PARAMETER BIOFISIK HUTAN DI SEBAGIAN TAMAN NASIONAL KERINCI SEBLAT

Nirmawana Simarmata
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引用次数: 1

Abstract

Synthetic Aperture Radar (SAR) is one kind of an active remote sensing system, utilizing microwave to records the earth surface. One of the SAR’s satellites is ALOS PALSAR which is capable of penetrating clouds so that the underlying objects can be identified. ALOS PALSAR has a polarization system operating with single beam polarization (HH or HV), dual polarization (HH + HV or VV + VH) and full polarization (HH + HV + VH + VV). This study aims to use the backscatter value of ALOS PALSAR's image for monitoring and mapping the forest. The Utilization of ALOS PALSAR imagery to measure forest biophysical parameters and saturation levels identified based on backscatter sensitivity. Image extraction is done through image calibration where the digital value is converted to sigma naught backscatter value then the result of calibration unit is changed to decibels. Backscatter sensitivity depends on forest structure which  can affect scattering mechanism. The backscatter value is also influenced by humidity and weather dynamics which can also affect the dielectric constant. The result of accurate classification of land use polarization fall in HH accuracy of 62,4%. Whereas for HV polarization accuracy obtained equal to 74,88%.
HH和HV的生态参数与KERINCI SEBLAT国家公园的一些森林生物物理参数的背景图像ALOS PALSAR偏振光
合成孔径雷达(SAR)是一种利用微波对地球表面进行记录的主动遥感系统。其中一颗SAR卫星是ALOS PALSAR,它能够穿透云层,从而识别底层物体。ALOS PALSAR具有单波束偏振(HH或HV)、双波束偏振(HH + HV或VV + VH)和全波束偏振(HH + HV + VH + VV)的偏振系统,本研究旨在利用ALOS PALSAR图像的后向散射值对森林进行监测和制图。利用ALOS PALSAR图像测量森林生物物理参数和基于后向散射灵敏度识别的饱和度水平。图像提取通过图像校准完成,其中将数字值转换为sigma零后向散射值,然后将校准单位的结果更改为分贝。后向散射灵敏度取决于森林结构,森林结构会影响散射机制。后向散射值还受湿度和天气动态的影响,而湿度和天气动态也会影响介质常数。土地利用极化准确分类结果HH精度下降62.4%。而高压极化精度为74.88%。
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