首页> 外文期刊>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences >ACCURATE MAPPING OF DATE PALMS AT DIFFERENT AGE-STAGES FOR THE PURPOSE OF ESTIMATING THEIR BIOMASS
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ACCURATE MAPPING OF DATE PALMS AT DIFFERENT AGE-STAGES FOR THE PURPOSE OF ESTIMATING THEIR BIOMASS

机译:在不同年龄段的准确映射到不同年龄阶段,以估计它们的生物质

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The main objective of the current study was to produce an accurate map of date palm (DP) plantations in the Emirate of Abu Dhabi in United Arab Emirates (UAE) using moderate resolution Landsat-8 (OLI) imagery. The second objective was to be able to create a more detailed map depicting three different categories of date palms at three different age stages: young, medium, and mature. This was achieved using a hierarchical integrated approach: first, Landsat-8 OLI imagery were used to map mature date palms in the study area; second, an object oriented classification (OOC) approach was applied at the plantation level using sub-meter Worldview-2 imagery (WV-2) to depict and map medium and young aged palms. Three age-stage categories of date palms were mapped with acceptable accuracy. The primary outcome of this classification approach was the creation of detailed maps of date palms to be used as input to a remote sensing (RS) based biomass estimation model for the assessment of the above ground biomass (AGB) and carbon sequestered (CS) of date palms. Results were validated using existing ancillary data and field checks. DP were mapped with an overall accuracy of 94.5% which was considered high in similar conditions of drylands, while the overall kappa statistics was estimated at 0.888.
机译:目前研究的主要目的是在阿拉伯联合酋长国(阿联酋)的阿布扎比​​酋长国在阿布扎比酋长国的准确映射棕榈(DP)种植园,使用中度分辨率Landsat-8(Oli)图像。第二个目标是能够在三个不同年龄阶段创建一个更详细的地图,描绘了三个不同类别的日期手掌:年轻,中等和成熟。这是使用分层综合方法实现的:首先,Landsat-8 Oli Imagery用于在研究区域映射成熟日期手术;其次,使用子仪表世界观-2图像(WV-2)在种植水平上应用面向对象的分类(OOC)方法,以描绘和地图中小型棕榈树。三个阶段类别的日期棕榈树是可接受的准确性映射的。该分类方法的主要结果是在基于基于遥感(RS)的生物量估计模型的基于遥感(RS)的生物量估计模型中,创建日期手掌的详细地图,用于评估上述地生物量(AGB)和碳隔离(CS)日期棕榈树。使用现有的辅助数据和现场检查验证了结果。 DP被映射为94.5%的整体准确性,在旱地的类似条件下被认为是高的,而总体Kappa统计数据估计为0.888。

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