Assessment of rice fields by GIS/GPS-supported classification of MODIS data

被引：3

作者：

Cheng Q. ^{[1
]}

Huang J.-F. ^{[1
]}

Wang R.-C. ^{[1
]}

机构：

[1] Inst. of Agric. Remote Sensing, Zhejiang Univ.

来源：

Journal of Zhejiang University-SCIENCE A | 2004年 / 5卷 / 4期

基金：

中国国家自然科学基金;

关键词：

Areas of rice fields; Geographic information system (GIS); Global position system (GPS); Moderate-resolution imaging spectroradiometer (MODIS);

D O I：

10.1631/jzus.2004.0412

中图分类号：

学科分类号：

摘要：

The new Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite image offers a large choice of opportunities for operational applications. The 1-km Advanced Very High Resolution Radiometer (AVHRR) image is not suitable for retrieval of field level parameter and Landsat data are not frequent enough for monitoring changes in crop parameters during the critical crop growth periods. A methodology to map areas of paddy fields using MODIS, geographic information system (GIS) and global position system (GPS) is introduced. Training samples are selected and located with the help of GPS to provide maximal accuracy. A concept of assessing areas of potential cultivation of rice is suggested by means of GIS integration. By integration of MODIS with GIS and GPS technologies the actual areas of rice fields in 2002 have been mapped. The classification accuracy was 95.7% percent compared with the statistical data of the Agricultural Bureau of Zhejiang Province.

引用

页码：412 / 417

页数：5

共 13 条

[1]

Bauman B.A.M., Radiometric measurements and crop yield forecasting-some observations over Millet and Sorghum experimental plots in Mali, International Journal of Remote Sensing, 9, 10, pp. 1539-1552, (1992)

[2]

Fang H.L., Wu B.F., Liu H.Y., Huang X., Using NOAA AVHRR and Landsat TM to estimate rice area year-by-year, International Journal of Remote Sensing, 19, 3, pp. 521-525, (1998)

[3]

Fensholt R., Sandholt I., Rasmussen M.S., Earth observation of vegetation status in a semi-arid environment: Comparison of terra MODIS and NOAA AVHRR satellite data, Proceedings of IEEE International Geoscience and Remote Sensing Symposium, 4, pp. 2205-2207, (2002)

[4]

Ferreira L.G., Huete A., Yoshioka H., Sano E., Preliminary analysis of MODIS vegetation indices over the LBA sites in the Cerrado region, Brazil, Proceedings of IEEE International Geoscience and Remote Sensing Symposium, 2, pp. 524-526, (2000)

[5]

Jensen J.R., Introductory Digital Image Processing, pp. 177-230, (1986)

[6]

Janssen L.F., Janorsma M.N., Vander Linden E.T.M., Integration topographic data with remote sensing for land-cover classification, Photogrammetric Engineering and Remote Sensing, 56, 3, pp. 1503-1506, (1990)

[7]

Lai G.Y., Yang X.W., Analysis of feasibility of professional operating on estimating rice planting area of hilly region in southern China using remote sensing technique, Remote Sensing Technology and Application, 13, 3, pp. 1-7, (1998)

[8]

Ray S.S., Pokharna S.S., Ajar E., Cotton production estimation using IRS-1B and meteorological data, International Journal of Remote Sensing, 15, 5, pp. 1085-1090, (1994)

[9]

Running S.W., Justice C.O., Salomonson V.V., Hall D., Barker J., Kaufman Y.J., Strahler A.H., Huete A.R., Muller J.P., Vanderbit V., Wan Z.M., Teillet P., Carneggie D., Terrestrial remote sensing science and algorithms planned for EOS/MODIS, International Journal of Remote Sensing, 15, 17, pp. 427-429, (1994)

[10]

Shen Z.Q., Wang K., Wang R.C., A study on dynamic changes of rice reflective characteristics in growth period, Remote Sensing for Land and Resources, 30, 4, pp. 40-45, (1996)

← 1 2 →