Remote Sensing Input and Feedback for Hydrologic Forecasting and Simulation Models,

Abstract

New methods of remote sensing, such as microwave and thermal infrared, can give us information on the moisture status and temperature of the earth's surface. With the present technology available to us, this type of new information cannot be used effectively for hydrologic forecasting. However, it appears that, coupled with adequate simulation models, these remote sensing data have the potential to greatly improve hydrologic forecasting and simulation accuracies. This paper discusses different forms of remote sensing, the status of current models to use these data, and what changes must be made to incorporate this promising new form of data. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADP002003

Entities

People

  • E. T. Engman

Organizations

  • Agricultural Research Service

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Argentina
  • Delphi Method
  • Environment
  • Feedback
  • Microwaves
  • Moisture
  • Remote Sensing
  • Simulations

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.