Remote Sensing of Ecophysiological Parameters as Related to Plant Productivity and Carbon Cycle

Remote sensing methods have a number of advantages in monitoring vegetation and environmental conditions, since useful signatures can be remotely detected at wide-area, nondestructive, and real-time bases. Sensor technology allows invisible signals between near-infrared and microwave wavelengths to be detected from a distance. Fig. 1 shows the typical reflectance spectra in solar domain for various components of agro-ecosystem surfaces. It is clearly

400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 (a) Wavelength (nm) (b) Wavelength (nm)

Figure 1: Typical reflectance spectra for agro-ecosystem surfaces (a), and for paddy fields with different biomass (b). Abbreviations B, G, R, and NIR mean blue, green, red, and near-infrared wavelengths, respectively. Biomass of rice paddies decreased in order from A to F (For colour version, see Colour Plate Section).

400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 (a) Wavelength (nm) (b) Wavelength (nm)

Figure 1: Typical reflectance spectra for agro-ecosystem surfaces (a), and for paddy fields with different biomass (b). Abbreviations B, G, R, and NIR mean blue, green, red, and near-infrared wavelengths, respectively. Biomass of rice paddies decreased in order from A to F (For colour version, see Colour Plate Section).

shown that each object has unique reflectance spectra, and reflectance signatures at specific wavelengths are strongly related to biophysical properties of targets such as green biomass. Hence, remotely sensed data have been used for a variety of agricultural and ecological applications, such as yield prediction, stress detection, monitoring of leaf area and biomass growth, disease diagnosis, and so forth. Relationship between remotely sensed signatures and ecophysiological variables are useful basis for geospatial assessment of plant productivity and CO2 flux.

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