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| Yoshio INOUE | |
| National Institute of Agro-Environmental Sciences | |
| Ministry of Agriculture, Forestry and Fisheries, Japan | |
| Tsukuba, Ibaraki 305-8604, Japan | |
| Phone: +81-298-38-8225, Fax: +81-298-38-8199 | |
| E-mail: yinoue@niaes.affrc.go.jp |
17,961,000 Yen
(FY 1999; 5,618,000 Yen)
The goal of this project is to propose new methods for remote sensing of the physiological status of vegetation based on the synergy of remote sensing and biophysical modeling. Remote sensing data in visible, near-infrared, short-wave infrared and thermal-infrared regions were obtained by ground-based and low-altitude remote sensing experiments. Major results obtained are as follows. 1) A remote sensing method was proposed for estimating physiological activity of plants such as transpiration and stomatal/canopy conductance on single-leaf and canopy scales. The method was based on the energy balance of a plant leaf or a canopy. The remote method proved promising in the estimation of canopy transpiration and conductance under a wide range of environmental conditions on both real-time and daily bases. 2) A new approach based on combined use of visible and near-infrared reflectance and thermal-infrared temperature (VITT) was proposed for estimating physiological activity of composite vegetation surfaces. The VITT index was closely correlated with the physiological plant variables such as photosynthesis. 3) An AOTF-based hyperspectral imager was developed, and shown to be useful for the field remote sensing experiments, 4) Water and nitrogen contents of plants were well correlated with spectral indices obtained by hyper-spectral measurements. The inversion of spectral simulation model using hyperspectral data proved useful for prediction of leaf water status.
Remote sensing, Plant productivity, Environmental stress, Modeling