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遥感技术与应用  1998, Vol. 13 Issue (3): 1-7    DOI: 10.11873/j.issn.1004-0323.1998.3.1
遥感应用     
南方丘陵地区水稻种植面积遥感信息提取的可行性分析*
赖格英 杨星卫
(上海市气象科学研究所 上海 200030)
Analysis of Feasibility of Professinal Operating on Estimating Rice Planting Area of Hilly Region in Southern China Using Remote Sensing Technique
LAI Geying  YANG Xingwei
(Shanghai Meteorological Institute,Shanghai 200030)
 全文: PDF 
摘要:

以浙江省为试验区,在地理信息系统支持下综合利用多种地理信息,探讨丘陵地区大面积提取水稻种植面积信息的可行性。开展了分类识别方法的比较试验及训练样点相对稳定性试验。针对丘陵地区的复杂地形,在数字化地形图的基础上,建立数字地形模型(DTM),并衍生出地面坡度等地貌因子的数字化图像,结合NOAA/AVHRR数据,进行分类。试验结果表明,传统的分类识别方法中,最大似然法的分类精度可满足业务化运行的要求;建立在混合像元分解基础上的模糊监督分类,有较高的分类精度和较好的稳定性,具有较强的适应性;地貌因子参与遥感影像的分类,不仅可以有效地提高丘陵地区水稻种植面积信息的提取精度,而且还可以使面积信息提取精度保持一定的稳定性,提高空间精度;为探讨丘陵地区水稻种植面积信息遥感提取的可靠性和客观性,在训练样点保持相对稳定的前提下,对1996年和1997年浙江省水稻种植面积进行测算,两年的数量精度均在92%以上。

关键词: 遥感技术地理信息系统水稻种植面积丘陵地区    
Abstract:

The objective of the study (Zhejiang province as our test region) was to investigate how to utilize synthetically a wide variety of geographical information,included topographic map,vegetation map,land cover/use map and other ancillary information,for estimating rice planting area of hilly region in southern China by remote sensing technique with NOAA/AVHRR data.The research contents mostly concerned both the contrast tests on practical approaches and the relative stability test on training sample.Both DEM and digital slope imagery derived from the digital relief map were used for the purpose of improving the classification accuracies of AVHRR data in large hilly region.The results indicated that the accuracies of maximum-likehood classification could satisfy the professional requirement of estimating rice planting area and fuzzy supervised classification based on unmixing AVHRR imagery has better classification and stability than MLK.In addition,the results through using DEM and slope imagery as categorization data suggests slope imagery may improve the results of extracting paddy field signatures from AVHRR,particularly may improve the spatial precisions,while DEM contribute nothing to improve the accuracies mentioned above.The results also indicated that the precisions of estimating rice planting area with relative stable training sample exceeded 92%,up to 98%.
 

Key words: Remote sensing technique    Geographic information system    Rice planting area    Hilly region
收稿日期: 1998-03-30 出版日期: 2012-02-07
:  TP 79  
基金资助:

本课题得到国家气象局科研基金的资助。

作者简介: 赖格英,男,1963年10月生,高级讲师,从事遥感与地理信息系统的研究。
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引用本文:

赖格英 杨星卫. 南方丘陵地区水稻种植面积遥感信息提取的可行性分析*[J]. 遥感技术与应用, 1998, 13(3): 1-7.

LAI Geying  YANG Xingwei. Analysis of Feasibility of Professinal Operating on Estimating Rice Planting Area of Hilly Region in Southern China Using Remote Sensing Technique. Remote Sensing Technology and Application, 1998, 13(3): 1-7.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.1998.3.1        http://www.rsta.ac.cn/CN/Y1998/V13/I3/1

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