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首页> 外文期刊>Environments >Classification of Land Use on Sand-Dune Topography by Object-Based Analysis, Digital Photogrammetry, and GIS Analysis in the Horqin Sandy Land, China
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Classification of Land Use on Sand-Dune Topography by Object-Based Analysis, Digital Photogrammetry, and GIS Analysis in the Horqin Sandy Land, China

机译：基于对象分析，数字摄影测量和GIS分析的沙丘沙丘地貌土地利用分类

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Previous field research on the Horqin Sandy Land (China), which has suffered from severe desertification during recent decades, revealed how land use on a sand-dune topography affects both land degradation and restoration. This study aimed to depict the spatial distribution of local land use in order to shed more light on previous field findings regarding policies on a broader scale. We performed the following analyses with Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) and Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) images of Advanced Land Observing Satellite (ALOS): (1) object-based classification to discriminate preliminary classification of land-use types that were approximately differentiated by ordinary pixel-based analysis with spectral information; (2) digital photogrammetry to generate a digital surface model (DSM) with adequately high accuracy to represent undulating sand-dune topography; (3) geographic information system (GIS) analysis to classify major topographic types with the digital surface model (DSM); and (4) overlay of the two classification results to depict the local land-use types. The overall accuracies of the object-based and GIS-based classifications were high, at 93% (kappa statistic: 0.84) and 89% (kappa statistic: 0.81), respectively. The resultant local land-use map represents areas covered in previous field studies, showing where and how land degradation and restoration are likely to occur. This research can contribute to future environmental surveys, models, and policies in the study area.
机译：最近对科尔沁沙地（中国）进行的现场研究表明，沙丘沙丘地形上的土地使用如何影响土地退化和恢复，而科尔沁沙地在最近几十年遭受了严重的沙漠化。这项研究旨在描绘当地土地利用的空间分布，以便更广泛地了解先前关于政策的实地调查结果。我们使用全色立体测绘遥感仪（PRISM）和高级陆地观测卫星（ALOS）的2型高级可见光和近红外辐射仪（AVNIR-2）图像进行了以下分析：（1）基于对象的分类以进行区分土地利用类型的初步分类，这些分类通过基于像素的常规光谱信息分析得以大致区分; （2）数字摄影测量法，以产生足够高的精度来表示起伏的沙丘地形的数字表面模型（DSM）; （3）地理信息系统（GIS）分析，以利用数字地面模型（DSM）对主要地形类型进行分类; （4）两个分类结果的叠加，以描述当地的土地利用类型。基于对象的分类和基于GIS的分类的总体准确性很高，分别为93％（kappa统计：0.84）和89％（kappa统计：0.81）。生成的当地土地利用图表示以前的田野研究所涵盖的区域，显示了可能发生土地退化和恢复的地点以及方式。这项研究可以为研究区域的未来环境调查，模型和政策做出贡献。

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