Vegetation and soil

  • Skriver, Henning (Project Manager)
  • Svendsen, Morten Thougaard, (Project Participant)
  • McCloy, Keith (Project Participant)
  • Thomsen, Anton (Project Participant)
  • Hansen, Birger U. (Project Participant)
  • Nielsen, Allan Aasbjerg (Project Participant)
  • Groom, Geoff (Project Participant)

Project Details

Description

Vegetation and soil parameters are important for studies using global circulation models. The parameters are essential in estimating and modelling e.g. surface energy balance, evapotranspiration, desertification, deforestration, and carbon dioxide circulation, and on a local scale on yield prediction and agricultural subsidiary enforcement. Vegetation and soil parameters such as soil moisture, vegetation type, structural characteristics for the vegetation (height, foliage, density), and vegetation biomass may be estimated from microwave remote sensing. The research aims at: 1) improving the techniques to determine vegetation type from SAR images, especially agricultural crops, but also with a view to natural vegetation, such as trees and heath; and 2) studying and evaluating algorithms for retrieval of vegetation and soil parameters, such as soil moisture, and vegetation height and biomass.
The application of SAR to monitor agricultural crops, biomass and soil moisture is being studied in collaboration with Research Center Foulum (RCF). The farmland at RCF has been mapped each year from 1994 to 1998 from March to July with both L- and C-band polarimetric SAR. During the growing season and particularly at the time of data acquisition, a series of in-situ measurements was performed of soil and vegetation parameters. This information is used to interpret and model the backscatter characteristics of the soil and vegetation and forms the basis for studying methods for parameters retrieval. The main results of this project are new results in the understanding of scattering mechanisms for backscattering from agricultural crops, new methods for the classification of crops, and thorough evaluation of the classification potential of polarimetric SAR. Results have been or will be published at conferences and in papers.
StatusFinished
Effective start/end date01/02/199431/12/2000