基于MODIS数据的水稻种植面积监测方法研究
Study on Method of Monitoring Rice Planting Area Based on MODIS Data
查看参考文献21篇
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文摘
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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。 |
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其他语种文摘
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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. |
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来源
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自然资源学报
,2007,22(1):1-8 【核心库】
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关键词
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遥感
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水稻面积
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叶面积指数
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丘陵山区
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MODIS
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GIS
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地址
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1.
福建省气象科学研究所, 福州, 350001
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福州市农业气象试验站, 福州, 350014
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-3037 |
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学科
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大气科学(气象学) |
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基金
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中国气象局项目
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福建省科技厅重点项目
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文献收藏号
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CSCD:2957506
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参考文献 共
21
共2页
|
|
1.
Shibayama M. Estimating grain yield of maturing rice canopies using high spectral resolution reflectance measurement.
Remote Sensing of Environment,1991,36:45-53
|
被引
39
次
|
|
|
|
|
2.
Tennakoon S B. Estimation of cropped area and grain yield of rice using remote sensing data.
International Journal of Remote Sensing,1992,13(3):426-439
|
被引
30
次
|
|
|
|
|
3.
Takashi Kurosu. Monitoring of crop rice from space using the ERS-1 C-band SAR.
IEEE Transactions on Geoscience and Remote Sensing,1995,33(4):1092-1096
|
被引
1
次
|
|
|
|
|
4.
T Kurosu. The identification of rice fields using multi-temporal ERS-1 C-band SAR Data.
International Journal of Remote Sensing,1997,18(14):2967-2984
|
被引
4
次
|
|
|
|
|
5.
Okamoto K. Estimation of rice-land planted area in the tropical zone using a combination of optical and microwave satellite sensor data.
International Journal of Remote Sensing,1999,20(5):1045-1048
|
被引
8
次
|
|
|
|
|
6.
杨星卫. 水稻遥感动力估产模拟初探.
环境遥感,1994,9(4):280-286
|
被引
7
次
|
|
|
|
|
7.
吴健平. 用NOAA/AVHRR数据估算上海地区水稻种植面积.
应用气象学报,1996,7(2):190-194
|
被引
18
次
|
|
|
|
|
8.
刘浩. 多时相Radarsat数据在广东肇庆地区稻田分类中的应用.
国土资源遥感,1997(4):1-7
|
被引
7
次
|
|
|
|
|
9.
方红亮. 两种水稻种植面积遥感提取方案的分析.
地理学报,1998,53(1):58-65
|
被引
5
次
|
|
|
|
|
10.
李郁竹. 应用NOAA/AVHRR数据测算局地水稻种植面积方法研究.
遥感学报,1998,2(2):125-130
|
被引
29
次
|
|
|
|
|
11.
赖格英. 南方丘陵地区水稻种植面积遥感信息提取的试验.
应用气象学报,2000,11(1):47-54
|
被引
3
次
|
|
|
|
|
12.
邱新法. 中红外和热红外在测算水稻种植面积上的应用.
南京气象学院学报,2000,23(1):24-28
|
被引
8
次
|
|
|
|
|
13.
廖圣东. SNB-SAR数据在大范围水稻种植面积调查中的应用.
热带地理,2001,21(4):346-349
|
被引
7
次
|
|
|
|
|
14.
彭婋. 基于NDVI与LAI的水稻生长状况研究.
遥感技术与应用,2002,17(1):12-16
|
被引
1
次
|
|
|
|
|
15.
黄敬峰. 基于GIS的水稻遥感估产模型研究.
遥感技术与应用,2002,17(3):125-128
|
被引
20
次
|
|
|
|
|
16.
周清波. EOS-MODIS卫星数据的农业应用现状及前景分析.
农业图书情报学刊,2005,17(2):203-205
|
被引
1
次
|
|
|
|
|
17.
杨小唤. 基于MODIS时序NDVI特征值提取多作物播种面积的方法.
资源科学,2004,26(6):17-22
|
被引
50
次
|
|
|
|
|
18.
谭炳香. SAR数据在南方水稻分布图快速更新中的应用方法研究.
国土资源遥感,2000(1):24-27
|
被引
4
次
|
|
|
|
|
19.
李开丽. 植被叶面积指数遥感监测模型.
生态学报,2005,25(6):1492-1496
|
被引
3
次
|
|
|
|
|
20.
P J Sellers. A Global 1° by 1° NDVI data set of climate studies.Part 2:The generation of global fields of terrestrial biophysical parameters from the NDVI.
Remote Sensing,1994,15(17):3519-3545
|
被引
2
次
|
|
|
|
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