Landsat8 vs. Sentinel-2: Land Use / Land Cover Change mapping for Karbala Governorate, Iraq, 2017 and 2021

Enas Riyadh Wdaah, Ahmed Asal Kzar
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Abstract

Satellite images are the essential data source for analyzing and monitoring land cover on various time scales, particularly across large regions. Landsat satellite data with a medium resolution was used to estimate land cover change over a 40-year period.This data contains information on land use and land cover patterns, is now freely available in the international archives. The LULC Remote Sensing Study assists in the ongoing detection and mitigation of crucial habitat risks to protect the environment. Sentinel-2, a satellite mission launched by the European Space Agency between 2015 and 2017 that uses high-resolution 10-day time-lapse multispectral data, gives a new opportunity for ground-based mapping and monitoring in the tropics. We employed 2015 ERDAS, a supervised classification method employing the maximum likelihood technique, to achieve this goal in Karbala/Iraq. This study examines if There is a significant difference in quality of data supplied by Landsat 8 and Sentinel-2 photographs in terms of change-detection maps of land use and land coverfor 2017 and 2021, the results of two satellites were compared ,They showed that their overall accuracy increased by 2.07% for 2017 and 1.83% for 2021, which is more overall accuracy than Landsat-8.  
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Landsat8与Sentinel-2: 2017年和2021年伊拉克卡尔巴拉省土地利用/土地覆盖变化制图
卫星图像是在各种时间尺度上分析和监测土地覆盖,特别是跨大区域土地覆盖的重要数据源。中等分辨率的陆地卫星数据用于估算40年期间的土地覆盖变化。这些数据载有关于土地利用和土地覆盖格局的资料,现在可以在国际档案中免费获得。土地资源中心遥感研究有助于不断发现和减轻关键栖息地风险,以保护环境。哨兵2号(Sentinel-2)是欧洲航天局(European Space Agency)在2015年至2017年间发射的一颗卫星,使用高分辨率的10天延时多光谱数据,为热带地区的地面测绘和监测提供了新的机会。为了在卡尔巴拉/伊拉克实现这一目标,我们采用了2015 ERDAS,一种采用最大似然技术的监督分类方法。本研究考察了2017年和2021年Landsat 8和Sentinel-2卫星提供的土地利用和土地覆盖变化检测图的数据质量是否存在显著差异,并对两颗卫星的结果进行了比较,结果表明,两者的总体精度在2017年和2021年分别提高了2.07%和1.83%,总体精度高于Landsat-8。
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