Development and testing of a remote sensing based hydrologic model

Dah Syang Lin, Eric F. Wood, Bangjie Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Remotely sensed soil moisture distribution was employed to derive initial conditions to a physically-based hydrologic model. A comparison of simulated time series of watershed average soil moisture and observations indicated that dry soil moisture condition, the remotely sensed data can be used as a model updating tool.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Pages1588-1590
Number of pages3
Volume3
StatePublished - Dec 1 1994
EventProceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) - Pasadena, CA, USA
Duration: Aug 8 1994Aug 12 1994

Other

OtherProceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4)
CityPasadena, CA, USA
Period8/8/948/12/94

All Science Journal Classification (ASJC) codes

  • Software
  • Geology

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