A knowledge steered stratified classification approach for ERS SAR data used in an agricultural area estimation methodology
In the course of two pilot projects dedicated to the pre-operational use of Earth remote sensing satellite (ERS)-1 and ERS-2 synthetic aperture radar (SAR) data in its rapid area estimation program for agricultural crops, the JCR's Agricultural Information Systems' MARS-STAT project team has gained valuable experience in both the processing and interpretation of SAR imagery. This paper demonstrates that only multi-temporal SAR image stacks combined with optical image data used in a knowledge steered stratified classification approach can lead to a sufficiently detailed crop map product, especially if needed at an early stage in the growing season.
Bibliographic Reference: Paper presented: IGARSS 98, Seattle (US); July 6-10, 1998
Availability: Available from (1) as Paper EN 41478 ORA
Record Number: 199810798 / Last updated on: 1998-07-02
Original language: en
Available languages: en