Raychaudhuri, B, Bhattacharyya, S (2006). Fuzzy analysis of laboratory spectroscopy of vegetation for remote sensing applications. INTERNATIONAL JOURNAL OF REMOTE SENSING, 27(1), 191-201.
A vegetation growth model suitable for remote sensing applications is proposed on the basis of a visible spectral response. It is investigated whether only the visible range of spectral reflectance, without incorporating the infrared region, can indicate the maturity stages of vegetation. The pumpkin (Cucurbitaceae) leaf has been used as a model. The reflectance of the leaf at different maturity stages is measured using different filters under different intensities of sunshine under different climatic conditions. A distinct range of reflectance value is obtained for each maturity stage and each filter. The reflectance for a particular case is found to be almost constant with the variation in sunlight intensity. On the basis of the above findings, the growth stage is standardized in terms of average leaf reflectance percentage at a certain wavelength of sunlight. To account for random fluctuations in data and to incorporate flexibility in indicator value of a specific stage, a fuzzy analysis of reflectance is suggested that is more close to human reasoning. The above procedure is then repeated with jute reflectance data to test the applicability of the model to an actual crop.