CAJ | 학술논문

基于遥感技术的草地信息提取及动态监测是草地资源调查和科学管理的重要手段。本研究以TM和HJ星CCD数据为研究数据，采用监督分类和非监督分类的混合分类方法，提取研究区草地资源信息，通过逻辑运算获取NDVI指数，并进行等级划分，以转移矩阵和栅格运算为主要方法分析草地资源的动态变化特征。研究结果表明：混合分类方法与监督分类相比，2000年和2010年分类总精度分别提高了8．90％和8．47％；2000-2010年草地面积减少了325．03km^2，宜农耕地面积增加了183．75km^2，居民点用地面积增加了3．27km^2。荒漠化面积进一步增加，达到852．59km。，新增149．45km^2；草地覆盖度整体呈下降趋势，二、三等级中高覆盖度草地面积分别减少了208．02km^2和242．97km^2，低覆盖度的五等级草地面积增加了406．87km^2。
기우요감기술적초지신식제취급동태감측시초지자원조사화과학관리적중요수단。본연구이TM화HJ성CCD수거위연구수거，채용감독분류화비감독분류적혼합분류방법，제취연구구초지자원신식，통과라집운산획취NDVI지수，병진행등급화분，이전이구진화책격운산위주요방법분석초지자원적동태변화특정。연구결과표명：혼합분류방법여감독분류상비，2000년화2010년분류총정도분별제고료8．90％화8．47％；2000-2010년초지면적감소료325．03km^2，의농경지면적증가료183．75km^2，거민점용지면적증가료3．27km^2。황막화면적진일보증가，체도852．59km。，신증149．45km^2；초지복개도정체정하강추세，이、삼등급중고복개도초지면적분별감소료208．02km^2화242．97km^2，저복개도적오등급초지면적증가료406．87km^2。
Grassland information extraction and dynamic monitoring based on remote sensing is an important tool of grassland resources survey and scientific management. The study used the mixed method of supervised and unsupervised classification to extract grassland resources information of the study area based on TM and HJ Star CCD satellite data. After obtaining the NDVI index by Boolean calculation and making the classification, dynamic changing characteristics of grassland resources were analyzed with the method of transfer matrix and the grid operations. The results show that： compared with supervised classification in the year of 2000 and 2010, the total classification accuracy of hybrid classification method was increased by 8.90% and 8.47% respectively; from 2000-2010, grassland area was decreased by 32503ha, agricultural land area was increased by 18375ha, residential land area was increased by 327ha and desert area was further increased to 85259ha, increased 14945ha; the overall of grass coverage degree has a downward trend. The area of high respectively. Key words： -coverage grassland of the second and third grade was decreased by 20802ha and 24297ha The area of low coverage of the fifth grade had an increase of 40687ha.