融合遥感调查和坡度等级的荒山地提取方法

Extraction method of barren mountain land based on remote sensing survey and slope grade

针对荒山地有效识别和图斑提取长期缺乏统一的技术标准和方法,荒山地适宜性治理评价急需位置、面积、地表覆被、土地利用现状以及坡度等级等基础信息支撑的问题,该文提出一种利用多源遥感调查监测数据和坡度等级数据的荒山地图斑提取方法。经历城区的实地应用表明:该方法提取的草地、裸岩石地符合率均为100%,乔木林和灌木林的符合度分别为93%和91%,准确提取了符合荒山地特征的地类图斑,满足实际工程应用要求,解决了荒山地地类状况长期不明确的问题,实现了荒山地大规模的有效识别和提取,形成了融合多源遥感监测和坡度等级的荒山地提取方法,提高了荒山地的识别和提取的质量。

For a long time,there is a lack of unified technical standards and methods for effective identification and pattern extraction of barren mountain land.The evaluation of barren mountain land suitability needs basic information such as location,area,surface cover,land use status and slope grade.In this paper,a method of barren mountain map spot extraction based on multi-source remote sensing survey monitoring data and slope grade data is proposed.The field application in urban area shows that the coincidence rate of grassland and bare rock ground extracted by this method is 100%,and the coincidence rate of arbor forest and shrub forest is 93%and 91%respectively.The results show that the method can accurately extract the landscape pattern which is in line with the characteristics of barren mountains,solve the problem that the status of barren mountains is not clear for a long time,realize the large-scale effective recognition and extraction of barren mountains,form the barren mountains extraction method which integrates multi-source remote sensing monitoring and slope grade,and improve the quality of barren mountains recognition and extraction.