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

Application of remote sensing and GIS for assessing economic loss caused by frost damage to tea... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

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

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Publisher
Springer US
Copyright
Copyright © 2013 by Springer Science+Business Media New York
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-013-9318-5
Publisher site
See Article on Publisher Site

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.

Journal

Precision AgricultureSpringer Journals

Published: May 23, 2013

References

  • Frost damage resulting from ice crystal formation in seedlings of spruce and pine
    Christersson, L
  • Multitemporal, multichannel AVHRR data sets for land biosphere studies-artifacts and corrections
    Cilar, J; Ly, H; Li, ZQ; Chen, J; Pokrant, H; Huang, FT
  • Combined use of optical and microwave remote sensing data for crop growth monitoring
    Clevers, J; Leeuwen, HJC
  • AVHRR derived phenological change in the Sahel and Soudan Africa, 1982–2005
    Heumann, BW; Seaquist, JW; Eklundh, L; Jönssoncet, P

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