CAJ | 학술논문

本研究利用 MOD13A2产品的 NDVI 数据，构建决策树分类方法，获得长三角地区2003—2013年的土地利用／土地覆盖（LULC）分类图，在此基础上分析了长三角地区近11年 LULC 的时空变化特征。结果表明：通过分析各 LULC 类型的年变化特征构建的决策树分类模型，能较高精度完成研究区的 LULC 分类，基于2003年 Landsat ETM＋数据分类结果验证，总分类精度达86．09％，Kappa 系数为0．75；2003—2013年长三角地区耕地、林地、水体和建设用地面积占比分别在47．08％～54．2％、28．9％～32．45％、4．82％～4．91％和11．64％～15．67％之间变化，其中，林地面积年平均增长1．35％，建设用地年平均增长3．35％，耕地面积年平均减少1．45％，水体面积变化较小；各 LULC 类型面积的年变化率与统计年鉴数据相比，林地高估，其他LULC 类型相差不大，这也进一步揭示该分类方法在长三角区域进行 LULC 变化监测具有可行性。
본연구이용 MOD13A2산품적 NDVI 수거，구건결책수분류방법，획득장삼각지구2003—2013년적토지이용／토지복개（LULC）분류도，재차기출상분석료장삼각지구근11년 LULC 적시공변화특정。결과표명：통과분석각 LULC 류형적년변화특정구건적결책수분류모형，능교고정도완성연구구적 LULC 분류，기우2003년 Landsat ETM＋수거분류결과험증，총분류정도체86．09％，Kappa 계수위0．75；2003—2013년장삼각지구경지、임지、수체화건설용지면적점비분별재47．08％～54．2％、28．9％～32．45％、4．82％～4．91％화11．64％～15．67％지간변화，기중，임지면적년평균증장1．35％，건설용지년평균증장3．35％，경지면적년평균감소1．45％，수체면적변화교소；각 LULC 류형면적적년변화솔여통계년감수거상비，임지고고，기타LULC 류형상차불대，저야진일보게시해분류방법재장삼각구역진행 LULC 변화감측구유가행성。
In this paper,the Land-Use and Land-Cover (LULC)in Yangtze River Delta from 2003 to 2013 were examined by building the classification decision tree and using the NDVI data of MOD13A2.The results indicated that the Landsat ETM+data in 2003 was used to evaluate the accuracy of the classification methods.The overall classification accuracy of the decision tree was 86.09%,and Kappa coefficient was 0.75.The areas of farmland,forest land,water,and construction land changed in 47.08%-54.2%,28.9%-32.45%,4.82%-4.91%,and 11.64%-15.67%,respectively,from 2003 to 2013.The growth rates of forest land area and construction land area were 1.35 and 3.35%/a,respectively,while farmland area decreased markedly and water area was almost similar.By comparing the classification image and statistics data,it was found that forest land was over-valued and the other LULC types were similar,which proved that the classification method used for LULC monitoring is feasible.