自然资源学报

自然资源学报 ›› 2007, Vol. 22 ›› Issue (1): 1-8.doi: 10.11849/zrzyxb.2007.01.001

• 资源管理 •    下一篇

基于MODIS数据的水稻种植面积监测方法研究

张春桂1, 林晶1, 吴振海2, 潘卫华1   

  1. 1. 福建省气象科学研究所, 福州 350001;
    2. 福州市农业气象试验站, 福州 350014
  • 收稿日期:2006-04-12 修回日期:2006-11-25 出版日期:2007-02-25 发布日期:2007-02-25
  • 作者简介:张春桂(1966-),男,福建惠安人,高工,主要从事气象卫星遥感应用研究。
  • 基金资助:

    中国气象局项目(CMATG2005M35);福建省科技厅重点项目(2006Y0008)

Study on Method of Monitoring Rice Planting Area Based on MODIS Data

ZHANG Chun-gui1, LIN Jing1, WU Zhen-hai2, PAN Wei-hua1   

  1. 1. Fujian Province Meteorological Institute, Fuzhou 350001, Chinan;
    2. Agricultural Meteorological Experiment Station of Fuzhou, Fuzhou 350014, China
  • Received:2006-04-12 Revised:2006-11-25 Online:2007-02-25 Published:2007-02-25

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64 | 13

摘要： 以具有较典型丘陵山区特征的福州地区为示范,首先在GIS技术的支持下,通过土地利用现状图、数字高程和海拔高度来提取水稻可能种植区,然后利用2001—2005年的MODIS卫星遥感数据,计算得到水稻可能种植区内的叶面积指数LAI,并分析LAI的年际变化特征,在此基础上建立水稻种植面积估算模式。结果表明:利用MODIS数据监测丘陵山区双季稻种植面积相对误差可小于13%,双季晚稻种植面积监测的准确率优于双季早稻。

关键词: 遥感, 水稻面积, 叶面积指数, 丘陵山区, MODIS, GIS

Abstract: Remote sensing technology which is wide-viewed,speediness,low expenses and accurate compared with traditional investigation way is an ideal method for estimation of rice planting area.This paper,taking Fuzhou region which possesses characteristics of a typical hilly area as a demonstration,obtains the rice potential planting area by using land use map,digital elevation data and altitude data firstly,with the help of GIS,and then estimates the leaf area index(LAI)of rice potential planting area by using MODIS remote sensing data. The results of the analysis of the LAI variational curves of three different ground types,i.e.,town,forest and rice field,in Fuzhou district in 2005 indicated that the LAI variational curve of town is no-peak-value model,the LAI variational curve of forest is single-peak-value model,and the LAI variational curve of rice field is double-peak-value model.The characteristics of LAI sequence of the three different ground types are different apparently.This paper analyses the interannual characteristic change of LAI of rice potential planting area in Fuzhou region by using MODIS data during 2001-2005,and the result shows that the LAI based on MODIS data can reflect sensitively the information of rice growth,at the same time,can reflect the pattern that the early and late rice have been planted in Fuzhou region.The course of rice can be judged by using the whole LAI variational curve of rice,and the course of rice that is judged by LAI variational curve in Fuzhou region during 2001-2005 is very close to the data of observation. The estimation model of rice planting area has been established after the best MODIS images have been pciked in the rice growth season,and the subtract images that can reflect the most relative change of LAI in rice potential planting area have been counted.Research result shows that:the relative estimate error of the early and late rice planting area in hilly area using MODIS data is less than 13%,the average value of relative estimate error of the early rice planting area is 9.5%,the average value of relative estimate error of the late rice planting area is 4.1%,and the estimate precision of late rice is better than the early rice.

Key words: remote sensing, rice area, leaf area index, hilly area, MODIS, GIS

中图分类号: 

  • P407.8