Grantee Research Project Results
Image Use in the Characterization of Field Parameters: Integration of Remote Sensing and Hydrologic Simulation Modeling
EPA Grant Number: U915329Title: Image Use in the Characterization of Field Parameters: Integration of Remote Sensing and Hydrologic Simulation Modeling
Investigators: Fox, Garey A.
Institution: Texas A & M University
EPA Project Officer: Packard, Benjamin H
Project Period: August 1, 1998 through August 1, 2001
Project Amount: $54,810
RFA: STAR Graduate Fellowships (1998) RFA Text | Recipients Lists
Research Category: Academic Fellowships , Safer Chemicals , Fellowship - Agricultural Engineering
Objective:
The overall objective of this research project involves developing a system that inputs influential soil and crop parameters obtained from remote sensing applications into hydrologic simulation models for the purpose of developing time-interval checks on model performance and accuracy.This system will improve model simulations by adding periodic evaluations from remotely sensed data, and will correct for discrepancies in values of certain crop and soil properties at numerous times during the growing season.
Approach:
Aerial images of several fields will be used along with the Agricultural Policy/Environmental Extender (APEX) modeling system. The research will first involve using the APEX model to simulate crop growth and nutrient activities within the watershed to determine the accuracy and precision of the predictions. Influential soil and crop parameters will be identified from the model results, and an investigation into the acquisition of such parameters from remote sensing applications will be made. After identifying the parameters that can be ascertained from the aerial images, routines will be developed in the APEX modeling system that incorporate the detailed measurements into model components at selected times during the growing season. If the model incorrectly predicts activities within the watershed, adjustments will be made to the model at individual points within the growing season. Performance comparisons of the model before and after incorporation of remote sensing applications will be made on the basis of crop yield and nutrient transport within the watershed using ground-truth data.
Supplemental Keywords:
fellowship, precision agriculture, watershed, Agricultural Policy/Environmental Extender, APEX, hydrologic, soil, crop, nutrient, simulation modeling, field parameters, growing season, aerial image., RFA, Scientific Discipline, Ecosystem Protection/Environmental Exposure & Risk, Sustainable Industry/Business, Geography, Sustainable Environment, Ecosystem/Assessment/Indicators, Ecosystem Protection, Technology for Sustainable Environment, Civil/Environmental Engineering, Ecological Effects - Environmental Exposure & Risk, Habitat, Regional/Scaling, Agronomy, Ecological Indicators, nutrient supply, nutrient dynamics, sustainable development, nutrients, spectral radiance, chlorinated hydrocarbons, landscape monitoring, imagery, remote sensing imagery, landscape characterization, field measurements, precision farming, land use, nutrient managementProgress and Final Reports:
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.