基于高分一号卫星数据的大安灌区水田面积监测研究  

Study on Monitoring Method of Paddy Field Planting Area in Da’anIrrigation Area Based on GF-1 Satellite Data

作　　者：李建平[1,2,3,4] 马艳敏 马云飞[1,2,3] 吴玉洁 吴迪 丁立[1,2] 高枞亭 Li Jianping;Ma Yanmin;Ma Yunfei;Wu Yujie;Wu Di;Ding Li;Gao Zongting(Jilin Institute of Meteorological Sciences,Changchun 130062,China;Jilin Key Laboratory for Changbai Mountain Meteorology and Climate Change,Changchun 130062,China;Jilin Science and Technology Innovation Center of Agricultural Meteorological Disaster Risk Assessment and Prevention and Control,Changchun 130062,China;Altay Meteorological Office of Xinjiang,Altay 836500,China)

机构地区：[1]吉林省气象科学研究所,长春130062 [2]长白山气象与气候变化吉林省重点实验室,长春130062 [3]吉林省农业气象灾害风险评估与防控科技创新中心,长春130062 [4]阿勒泰地区气象局,新疆阿勒泰836500

出　　处：《气象与环境科学》2025年第2期45-53,共9页Meteorological and Environmental Sciences

基　　金：国家自然科学基金项目(41661144007、42275185);新疆维吾尔自治区自然科学基金面上项目(2022D01A121)。

摘　　要：以吉林省大安市灌区为研究区域,利用GF-1卫星数据,结合实地调查,对大安灌区盐碱地改良水田面积变化情况进行动态监测。通过水稻不同生育期多时相的GF-1卫星数据NDWI和NDVI值变化,结合决策树分析法,监测2017—2020年大安灌区盐碱地改良水田面积,并利用地面样方数据对遥感监测水田面积进行修正。结果表明,近几年大安灌区盐碱地改良面积逐年增加,2017—2020年大安灌区水田面积分别为65.33 km~2、73.50 km~2、100.14 km~2和117.87 km~2,其中大安灌区两家子镇水田面积增加最大,整体增加了20.49 km~2。基于多时相GF-1数据结合决策树分析法和地面检验,对大安灌区盐碱地改良水田面积监测综合准确率可达89%,且在总面积超过0.01 km~2面积的水田相对甄别准确率在91%以上,而面积较小且零散分布的水田受卫星数据分辨率及盐碱地特殊环境的影响,监测精度相对偏低。Using GF-1 satellite data and field surveys,the dynamic monitoring of the changes in the area of improved saline-alkali paddy fields in the irrigation area of Da’an City,Jilin Province was carried out.The NDWI and NDVI values of multi-temporal GF-1 satellite data in different growth periods of rice and the decision tree analysis method were used to monitor the area of improved saline-alkali paddy fields in the Da’an irrigation area from 2017 to 2020.Finally,the remote sensing-based paddy field area was corrected by the ground quadrat data.The results show that the area of improved saline-alkali land in the Da’an irrigation area has been increasing in recent years.The paddy field areas in the Da’an irrigation area were 65.33 km 2,73.50 km 2,100.14 km 2,and 117.87 km 2 each year from 2017 to 2020,respectively,with the highest increase of 20.49 km 2 in Liangjiazi Town of Da’an irrigation area.Based on multi-temporal GF-1 data combined with the decision tree analysis method and ground verification,the comprehensive accuracy in monitoring the improved saline-alkali paddy field area in the Da’an irrigation area can reach 89%,and the relative identification accuracy of paddy fields with a total area exceeding 0.01 km 2 is above 91%.However,the monitoring accuracy for the small and scattered paddy fields is relatively low due to the impact of satellite data resolution and the special environment of saline-alkali land.

关 键 词：高分一号卫星 盐碱地改良 遥感监测 水田面积 

分 类 号：P405[天文地球—大气科学及气象学]