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HJ-1星上思县甘蔗工艺成熟期长势多年对比监测
引用本文:黄敏堂,陈燕丽,王国安,丁美花,罗永明,黄永璘,孙明,刘志平.HJ-1星上思县甘蔗工艺成熟期长势多年对比监测[J].安徽农业科学,2014,42(36):13129-13131.
作者姓名:黄敏堂  陈燕丽  王国安  丁美花  罗永明  黄永璘  孙明  刘志平
作者单位:1. 上思县气象局,广西防城港,535502
2. 广西壮族自治区气象减灾研究所/国家卫星气象中心遥感应用试验基地,广西南宁530022;气象GIS应用联合实验室,广西南宁530022
基金项目:中国气象局气象关键技术集成与应用项目,2014年公益性行业(气象)科研专项重点项目,广西科技厅攻关项目,防城港市气象局2014年气象科研项目
摘    要:以广西上思县为研究区,利用环境减灾卫星HJ-1遥感数据提取甘蔗种植面积,采用归一化植被指数模型NDVI对单一时相甘蔗长势进行监测,构建NDVI偏差分级模型对甘蔗工艺成熟期长势进行多年对比监测.结果表明:①利用NDVI均值和偏差2个分析指标,可定性分析监测区内甘蔗长势状况.除2011年甘蔗总体长势差于常年外,2009、2010、2012年甘蔗总体长势好于常年.②利用NDV1偏差分级模型可对监测区甘蔗长势进行定量评价.2012年上思县甘蔗长势最好,长势好、差所占面积比例分别为96.87%、3.13%;2011年甘蔗长势最差,长势好、差比例分别为99.57%、0.43%.

关 键 词:甘蔗  长势  HJ-1星  工艺成熟期  遥感监测  HJ-1

Sugarcane Growth Condition Monitoring in Shangsi County Based on HJ-1 Multispectral Data
Institution:HUANG Min-tang;CHEN Yan-li;WANG Guo-an;Shangsi County Meteorology Service;Guangxi Meteorological Disaster Mitigation Institute / Remote Sensing Application and Validation Base of NSMC;Joint Laboratory for GIS Application;
Abstract:With Guangxi Shangsi County as the research site, H J-1 satellite remote sensing data is used to extract sugarcane area. Then, normal-ized difference vegetation index (NDVI) model is used to monitor sugarcane growth condition of single phase. At last,NDVI deviatiomelassifica-tion model is constructed to comparatively monitor sugarcane growth condition in the process maturity. The results show thatWith two indicatorsof NDVI mean and deviation value, sugarcane growth conditions can be analyzed qualitatively. The growth conditions of sugarcane in ShangsiCounty are beter than perennial value in 2009,2010 and 2012 except 2011. With NDVI deviation classification model ,sugarcane growth condi-tions can be analyzed quantitatively and contrastively. Tile sugarcane condition in 2012 is the best with good area accounted 96.87% and bad areaaccounted only 3.13%. The sugarcane condition in 2011 is the worst with good area accounted only 0.43% and good area accounted only99. 57%.
Keywords:Sugarcane  Growth condition  HJ-1  Process maturity  Remote sensing monitoring
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