Dissertation:

Dissertation

Defended May 2014

GOES/MODIS/LANDSAT Fusion

This is a power point presentation I gave last November related to a paper I am putting together for my dissertation. The power point might give you and idea about some of the stuff I was doing. This work consists of fusing GOES, MODIS and LANDSAT data in order to determine monthly averaged ET over a multi-year period and validated against eddy covariance flux towers. To do this (and my dissertation) I processed large datasets in different formats using Python but I am very confident I could switch over to Matlab with no problem.

Sample papers:

Evans, A., (2013). Remote Sensing of Evapotranspiration in Florida Using Dry Pixel Calibration. Papers in Applied Geography, 36, 107-116.

Preliminary study of the automatic internal calibration used for converting temperature into the fraction of radiation used for evaporation.

Evans, A., (2013). Remote Sensing of Evaporative Fraction in Big Cypress National Preserve: A Comparison of Methods. Florida Geographer, 44, 38-53.

Comparing different methods for using thermal and optical remote sensing for detecting the fraction of radiation used for evaportation.

Evans, K. F., Evans, A. H., Nolt, I. G., & Marshall, B. T. (1999). The Prospect for Remote Sensing of Cirrus Clouds with a Submillimeter-Wave Spectrometer. Journal of Applied Meteorology, 38(5), 514-525.

Study for using sub millimeter spectrometer for detecting cirrus clouds. This paper was before we implemented the use of neural networks and genetic algorithm for inverting the model.

Leaf RT Modeling:

I also created a website for modeling leaf reflectance:

Prospect Leaf Model

I did not write the model but called the FOTRAN model from perl web app. I used it with hand held hyper spectral radiometer to try to match modeled reflectance vs. measured reflectance to detect water content of leaves from hyper spectral reflectance.