Jump to main content or area navigation.

Contact Us

Extramural Research

Grantee Research Project Results

NCER Grantee Research Project Results

Image Use in the Characterization of Field Parameters: Integration of Remote Sensing and Hydrologic Simulation Modeling

EPA Grant Number: U915329
Title: 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: Jones, Brandon
Project Period: August 1, 1998 through August 1, 2001
Project Amount: $54,810
RFA: STAR Graduate Fellowships (1998)
Research Category: Academic Fellowships , Engineering and Environmental Chemistry , Fellowship - Agricultural Engineering

Description:

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, Ecosystem/Assessment/Indicators, Ecosystem Protection, Sustainable Environment, Technology for Sustainable Environment, Ecological Effects - Environmental Exposure & Risk, Civil/Environmental Engineering, Habitat, Regional/Scaling, Agronomy, Ecological Indicators, nutrient supply, nutrient dynamics, sustainable development, nutrients, spectral radiance, chlorinated hydrocarbons, landscape monitoring, imagery, landscape characterization, remote sensing imagery, field measurements, land use, nutrient management, land management

Top of Page

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.

Jump to main content.