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Remote sensing of Japanese beech forest decline using an improved Temperature Vegetation Dryness Index (iTVDI)

A Ishimura, Y Shimizu, P Rahimzadeh-Bajgiran, K Omasa   

iForest - Biogeosciences and Forestry, Volume 4, Issue 5, Pages 195-199 (2011)
doi: https://doi.org/10.3832/ifor0592-004
Published: Nov 03, 2011 - Copyright © 2011 SISEF

Research Articles

Collection/Special Issue: COST Action FP0903 (2010) - Rome (Italy)
Research, monitoring and modelling in the study of climate change and air pollution impacts on forest ecosystems
Guest Editors: E Paoletti, J-P Tuovinen, N Clarke, G Matteucci, R Matyssek, G Wieser, R Fischer, P Cudlin, N Potocic


The Tanzawa Mountains, which cover parts of Kanagawa, Yamanashi and Shizuoka prefectures in Japan, are known for their natural beech forests. Since the 1980s, decline of the beech forests, probably caused by air pollution, water stress and insect infestation, has become a serious problem. We estimated the natural beech forest mortality rate in the mountains by using multi-temporal 8-day composite data recorded at the MODIS instrument aboard the Terra satellite, daily air temperature data at meteorological stations (AMeDAS) in 2007, and a global digital elevation model obtained from ASTER aboard the Terra satellite. For the estimation, we used a Normalized Difference Vegetation Index (NDVI) indicating the vegetation density, a Temperature Vegetation Dryness Index (TVDI), and an improved TVDI (iTVDI) indicating the differences in transpiration rates between areas of similar vegetation density. We compared the NDVI, TVDI, and iTVDI maps with an existing mortality map of beech forests in the study area to verify their accuracy. To produce iTVDI maps, we calculated maps of air temperature by using ambient air temperature and elevation data. By interpolation using an environmental lapse rate, we calibrated air temperature maps with good accuracy (RMSE = 0.49 °C). The iTVDI map could detect mortality more accurately than the NDVI and TVDI maps in both spring and summer. Use of iTVDI enabled us to detect forest decline caused by air pollution and water deficits, inducing a reduction in transpiration rates. This index should be useful for monitoring vegetation decline.

  Keywords


Decline, Forest, MODIS, Normalized Difference Vegetation Index (NDVI), Improved Temperature Vegetation Dryness Index (iTVDI)

Authors’ address

(1)
A Ishimura
Y Shimizu
P Rahimzadeh-Bajgiran
K Omasa
Department of Biological and Environmental Engineering, Graduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-8657 Tokyo (Japan)

Corresponding author

Citation

Ishimura A, Shimizu Y, Rahimzadeh-Bajgiran P, Omasa K (2011). Remote sensing of Japanese beech forest decline using an improved Temperature Vegetation Dryness Index (iTVDI). iForest 4: 195-199. - doi: 10.3832/ifor0592-004

Paper history

Received: Nov 30, 2010
Accepted: Jul 20, 2011

First online: Nov 03, 2011
Publication Date: Nov 03, 2011
Publication Time: 3.53 months

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