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Application of remote sensing and GIS for assessing economic loss caused by frost damage to tea plantations

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Abstract

This study aims to develop a method to evaluate economic loss resulting from damage of spring frost to tea plantations, with the help of remote sensing and geographic information system (GIS) technology. The study site was the Yuezhou Longjing tea producing area in the Shaoxing region of China and evaluated the economic loss resulting from damage to Wuniuzao, Longjing-43 and Jiukeng tea plantations caused by frost on 10 March 2010. Based on a linear equation for representing the variations of each tea tree species with geographical factors, their beginning date of tea plucking (BDTP) were calculated at each grid points with a GIS database. Minimum temperatures were retrieved with four split-window algorithms and satellite remote sensing data was acquired at 06:29 and 12:57 on 10 March 2010. A variational correction method was performed with data from automatic weather stations. Mean absolute error between the retrieved minimum temperatures and actual minimum temperatures of only 0.3 °C was obtained. The BDTP for each species, based on minimum temperature values, and the frost index for each grid point were referenced to assess economic loss resulting from damage to Wuniuzao, Longjing-43, and Jiukeng tea plantations caused by frost. The economic loss estimated in our study was close to the actual value.

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Acknowledgments

This paper was financially supported by a major agricultural project of the Science Technology Department of Zhejiang Province, China (Grant No. 2011C22082).

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Authors and Affiliations

  1. Xinchang Weather Bureau, Xinchang, 312500, Zhejiang, China

    Weiping Lou & Ke Sun

  2. Shaoxing Weather Bureau, Shaoxing, 312000, Zhejiang, China

    Zongwei Ji

  3. Taizhou Weather Bureau, Taizhou, 318000, Zhejiang, China

    Jianneng Zhou

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  1. Weiping Lou
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  2. Zongwei Ji
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  3. Ke Sun
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  4. Jianneng Zhou
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Correspondence to Weiping Lou.

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Lou, W., Ji, Z., Sun, K. et al. Application of remote sensing and GIS for assessing economic loss caused by frost damage to tea plantations. Precision Agric 14, 606–620 (2013). https://doi.org/10.1007/s11119-013-9318-5

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