ABSTRACT

Scientific backgrounds, methodologies, and insights for the use of hyperspectral data for assessment of ecophysiological functioning are discussed based on a wide range of case studies using ground-based and airborne hyperspectral measurements. These would include (1) the physiological basis for hyperspectral remote sensing of ecophysiological functioning such as photosynthesis; (2) methodological investigations and insights; (3) promising predictive models for assessment of ecophysiological functioning and biophysical/chemical variables; (4) generic use of hyperspectral datasets for past, present and future optical sensors; and (5) strategic use of hyperspectral data for smart agriculture as well as for environmental sciences and policy-making. This chapter provides numerous analytical results from case studies on the major crops, grasses, and trees.