Kamel Didan

The broad objectives and motives of my research derive from the questions surrounding global and climate change and their impact on vegetated land surfaces. We focus on the development of algorithms and data records using remote sensing, analytics, and models in order to generate highly calibrated time series data that inform climate-related and land use change influences on vegetation, carbon and nutrient cycles, ecosystem composition and function, and plant health and phenology over a wide range of biomes. A derivative of this research is the application of these data and methods to precision land surface mapping and agriculture.

Degrees

• PhD, Remote Sensing, Spatial Analysis, and Modelling, ABE Dept., University of Arizona, 1999