Silva, B. & Bendix, J. (2012-07-26). <b>Monitoring and modelling competing grassland species using very-high and high-resolution remote sensing in the Andes of Ecuador</b>. Presented at IEEE International Geoscience and Remote Sensing Symposium - IGARSS, Munich, Germany.
Resource Description
Title:
Monitoring and modelling competing grassland species using very-high and high-resolution remote sensing in the Andes of Ecuador
email:
bendix <at> staff.uni-marburg.de
Faculty of Geography
Deutschhausstraße 10
Philipps University of Marburg
Laboratory for Climatology and Remote Sensing
35032 Marburg
Germany
Abstract:
A method is presented for monitoring and modeling of two competing grassland species (the southern bracken fern and the pasture grass Setaria). The method consists of estimating leaf area index for each species by using field observations and measurements, very-high and high-resolution images. The higher level of information at very-high resolution is used for identification of homogenous cover, on which a single species predominates. Consequently, ground measurements are used with high-resolution data to calculate species-specific regression functions between the normalized difference vegetation index and leaf area index. These data are used in a simulation run to extend the knowledge on occurrence and competition of bracken fern and Setaria pasture in the southern Ecuador
Additional Infos:
The presentation streaming is available at: http://www.igarss2012.org<br/>
Under "Webstreams of Technical Sessions" Time: Thursday, July 26, 10:30 - 12:10, Session<br/>
TH2.15: Geographic Information Science: Applications
Literature type specific fields:
PRESENTATION
Conference Name:
IEEE International Geoscience and Remote Sensing Symposium - IGARSS
