Source: UTAH STATE UNIVERSITY submitted to
COMBINING REMOTE SENSING AND ENERGY FLUX MEASUREMENTS FOR EVALUATING THE INFLUENCE OF LAND SURFACE HETEROGENEITY ON EVAPOTRANSPIRATION
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
TERMINATED
Funding Source
Reporting Frequency
Annual
Accession No.
0405864
Grant No.
(N/A)
Project No.
1265-13610-027-06S
Proposal No.
(N/A)
Multistate No.
(N/A)
Program Code
(N/A)
Project Start Date
Aug 1, 2002
Project End Date
Jul 31, 2007
Grant Year
(N/A)
Project Director
KUSTAS W P
Recipient Organization
UTAH STATE UNIVERSITY
(N/A)
LOGAN,UT 84322
Performing Department
(N/A)
Non Technical Summary
(N/A)
Animal Health Component
(N/A)
Research Effort Categories
Basic
75%
Applied
25%
Developmental
0%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1120210205025%
1320199207025%
4047210208050%
Goals / Objectives
Evaluate the impact of land surface heterogeneity on surface-atmosphere flux exchange and evapotranspiration (ET) using remote sensing fields at different resolutions and with a network of tower-based flux measurements
Project Methods
Remotely sensed and surface flux from large scale remote sensing/hydrology field experiment will serve as boundary conditions for evaluating the impact of landscape variability on land-atmosphere flux exchange and ET. Geostatistical and wavelet transform techniques will be used to determine how the scale surface variability affects energy exchange and atmospheric turbulent properties

Progress 08/01/02 to 07/31/07

Outputs
Progress Report Objectives (from AD-416) Evaluate the impact of land surface heterogeneity on surface-atmosphere flux exchange and evapotranspiration (ET) using remote sensing fields at different resolutions and with a network of tower-based flux measurements Approach (from AD-416) Remotely sensed and surface flux from large scale remote sensing/hydrology field experiment will serve as boundary conditions for evaluating the impact of landscape variability on land-atmosphere flux exchange and ET. Geostatistical and wavelet transform techniques will be used to determine how the scale surface variability affects energy exchange and atmospheric turbulent properties Significant Activities that Support Special Target Populations This report documents research conducted under a specific cooperative agreement between ARS and Utah State University. Additional details of research can be found in the report for the parent project 1265-13610-027- 00D, "Using remote sensing and modeling for evaluating hydrologic fluxes, states, and constituent transport processes within agricultural landscapes." Analysis of the high resolution aircraft imagery collected during the Soil Moisture Atmosphere Coupling Experiment (SMACEX) has been conducted. Analyses for producing regional vegetation cover maps for SMACEX has been completed. The remote sensing data have been used to compute spatially distributed fluxes and to assess the utility of various flux-footprint models for interpreting flux-tower measurements. The data are now being used to assess a thermal-sharpening algorithm that permits the generation of high resolution thermal data from coarser native resolution data using high resolution vegetation cover information. Progress for the project is monitored by conference calls and research results from faculty and students.

Impacts
(N/A)

Publications


    Progress 10/01/05 to 09/30/06

    Outputs
    Progress Report 4d Progress report. This report serves to document research conducted under a specific cooperative agreement between the ARS Hydrology and Remote Sensing Laboratory and Utah State University. Additional details of research can be found in the report for the parent project 1265-13610-026-00D entitled, "INTEGRATING REMOTE SENSING, CLIMATE AND HYDROLOGY FOR EVALUATING WATER, ENERGY AND CARBON CYCLES." Analysis of the high resolution aircraft imagery collected during the Soil Moisture Atmosphere Coupling Experiment (SMACEX) has been conducted. Analyses for producing regional vegetation cover maps for SMACEX has been completed. The remote sensing data have been used to compute spatially distributed fluxes and to assess the utility of various flux-footprint models for interpreting flux-tower measurements. The data are now being used to assess a thermal-sharpening algorithm that permits the generation of high resolution thermal data from coarser native resolution data using high resolution vegetation cover information.

    Impacts
    (N/A)

    Publications


      Progress 10/01/04 to 09/30/05

      Outputs
      4d Progress report. This report serves to document research conducted under a specific cooperative agreement between the ARS Hydrology and Remote Sensing Laboratory and Utah State University. Additional details of research can be found in the report for the parent project 1265-13610-026-00D entitled, "INTEGRATING REMOTE SENSING, CLIMATE AND HYDROLOGY FOR EVALUATING WATER, ENERGY AND CARBON CYCLES." Analysis of the high resolution aircraft imagery collected during the Soil Moisture Atmosphere Coupling Experiment (SMACEX) is underway. Preliminary analyses for producing regional vegetation cover maps for SMACEX has been completed. The remote sensing data have been used to compute spatially distributed fluxes and to assess the utility of various flux-footprint models for interpreting flux-tower measurements.

      Impacts
      (N/A)

      Publications


        Progress 10/01/03 to 09/30/04

        Outputs
        4. What were the most significant accomplishments this past year? This project is a specific cooperative agreement with Utah State University, Utah, to provide assistance in completion of objectives associated with CRIS project 1265-13610-026-00D entitled Integrating Remote Sensing, Climate and Hydrology for Evaluating Water, Energy and Carbon Cycles. Analysis of the high resolution aircraft imagery collected during the Soil Moisture Atmosphere Coupling Experiment (SMACEX) is underway. Preliminary analyses for producing regional vegetation cover maps for SMACEX has been completed. The remote sensing data is now being used for computing spatially distributed fluxes.

        Impacts
        (N/A)

        Publications