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1 September 2005 Extracting vegetable field area from Landsat TM image for estimating vegetable water consumption: a case study in Luancheng County of Hebei Province, China
Li Zheng, Qun Zhang, Yuping Lei, Hongjun Li
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Proceedings Volume 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II; 58840H (2005) https://doi.org/10.1117/12.615776
Event: Optics and Photonics 2005, 2005, San Diego, California, United States
Abstract
Accurate estimation of water consumption requires detailed information on vegetation types, including vegetable that is increasingly becoming one of the most important crops in China and many parts of the world. In current paper, a technique for rapid and accurate extraction of vegetable field (both greenhouse and open field) information from Landsat TM image is developed and tested. Through conducting field experiments and analyzing the Landsat TM images, we obtain the spectral characteristics of the film covered greenhouse vegetable and build a model to extract vegetable fields from the Landsat TM images. Applying this technique to Luancheng County of Hebei Province, China, we calculate the total area of the vegetable field being 208 ha. This number compares well with the result of our field survey. Based on the vegetable field area and the vegetable water consumption rate, we arrive at an estimation of the total vegetable water consumption in Luancheng County being 2.6*106 m3. The analyses also show that, in Luancheng County, the vegetable consumes about 4% of the total agricultural water use. The technique developed here provides an effective way for deriving vegetable field area from Landsat TM data and estimating the regional vegetable water consumption.
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Li Zheng, Qun Zhang, Yuping Lei, and Hongjun Li "Extracting vegetable field area from Landsat TM image for estimating vegetable water consumption: a case study in Luancheng County of Hebei Province, China", Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58840H (1 September 2005); https://doi.org/10.1117/12.615776
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KEYWORDS
Earth observing sensors
Landsat
Scattering
Vegetation
Remote sensing
Agriculture
Image analysis
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