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机构地区:[1]江苏省农业科学院农业资源与环境研究所,江苏南京210014 [2]海军指挥学院,江苏南京210016
出 处:《麦类作物学报》2011年第4期769-775,共7页Journal of Triticeae Crops
基 金:国家自然科学基金项目(30030090;39870534)
摘 要:为探讨利用稀缺或隔年卫星遥感影像估算大地理区域麦稻连作水平的可行性,以江苏省常熟市为例,利用隔年TM卫星遥感影像,提取小麦和水稻种植面积并分析了麦稻连作水平。在解译隔年稻麦卫星遥感影像获取麦稻连作面积信息的基础上,运用马尔可夫链建模方法构建麦稻连作水平评估模型来估算麦稻连作水平,并用GPS实地取样调查对估算精度进行验证。结果表明,常熟市麦稻连作指数为0.76,即有76%的小麦连作水稻,估算精度在95%以上,与传统的地面调查方法相比较,统计麦稻连作指数或水平更能反映大地理区域麦稻连作的现状。The winter wheat and rice areas were extracted from two TM images of Changshu city of Jiangsu province in not continuous year,respectively;the wheat-rice cropping level in this city was estimated based on the information extracted to evaluate the feasibility of this technology for solving the similar problems.According to the extracted areas of winter wheat and rice production,a model based on Markov chains was built for computing the wheat-rice cropping index to evaluate the wheat-rice cropping level,the accuracy was verified by field sampling survey supported with GPS.The results showed that the wheat-rice cropping index in Changsu city was about 0.76,i.e 76% of wheat land was used for rice cropping,with accuracy at more than 95%.The wheat-rice cropping index based on this method was more accurate than the traditional field survey method for estimating the wheat-rice cropping status in large geographic area.
分 类 号:S157.432[农业科学—土壤学] S127[农业科学—农业基础科学]
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