文献类型： 中文期刊

作者： 王慧芳 ¹ ; 霍治国 ² ; 周广胜 ³ ; 吴立 ⁴ ; 冯海宽 ⁵ ;

作者机构： 1.南京信息工程大学气象灾害预报预警与评估协同创新中心

2.中国气象科学研究院

3.中国科学院植物研究所植被数量生态学重点实验室

4.中国气象科学研究院北京农业信息技术研究中心国家气候中心

5.北京农业信息技术研究中心

期刊名称： 农业工程学报

ISSN： 1002-6819

年卷期： 2015 年 S2 期

页码： 107-111

收录情况： EI ; 北大核心 ; CSCD

摘要： It has great significance to study quick monitoring of rice flood disaster and applying timely remedial measures in the disaster area.LAI is a very important physiological parameter in crop growth characterization index,which can reflect the crop growing information objectively.The existing methods of flood monitoring using remote sensing technology rarely consider the damage and the post disaster growth of rice.The HJ-CCD data take advantage of high temporal resolution and high spatial resolution remote sensing image,which can be used for gathering rice growing information during the critical period.The growth situation after rice flood disaster in Anhui Province was monitored using 3 screens HJ-CCD data as the data source on 16thJuly,19thAugust,26th August,2009,respectively.The semi-empirical function model based on Beer-Lambert laws was constructed for this inversion LAI.And LAI were acquired in each stage after flood disaster,the trend of growth diagnosis dynamic change was analyzed and assessed by rice flood disaster evaluation indicator.At the same time,the 40 field investigate data were used to verify the model and the R2=0.4251,RMSE=2.053.The results show that LAI can be well evaluated the degree of rice flood disaster growth based on HJ-CCD data,and it is effective for monitoring and diagnosing rice flood disaster.The results provide a theoretical basis for rice flood disaster research,post disaster rehabilitation and recovery,and provide a theoretical basis for the implementation of targeted remedial measures at the same time.