Title :
Multi-temporal comparisons of ERS-1 and JERS-1 SAR data for land applications
Author :
Borgeaud, Maurice ; Noll, Josef ; Bellini, Andrea
Author_Institution :
European Space Agency, Eur. Space Res. & Technol. Centre, Noordwijk, Netherlands
Abstract :
The site chosen for this investigation is Flevoland in the Netherlands. The terrain is very uniform and mostly covered by bare soil surfaces, crops, and forests. ERS-1 SAR precision images in PRI format and JERS-2 SAR data version 2.1 collected during 1993 are used as well as ground data measured by local investigators at the time of the overflight. Due to the excellent stability of the spaceborne satellites, it is possible to make multi-temporal observations over the site. The technique is used to improve the classification of the different crops. Moreover, taking into account that the SAR data are sensitive to temporal changes in surface roughness and soil moisture, the variations of these two parameters are investigated over a period spanning several months. In order to retrieve geo- and bio-physical parameters from microwave remote sensing data, a very detailed description of the interaction of the electromagnetic waves with the earth terrain being imaged is required. In the case of SAR images, both in situ data and radar data are needed in order to validate direct models, i.e. predict the backscattering coefficient as a function of the soil parameters, and retrieval algorithms to derive bio- and geophysical parameters from the SAR data. Some of the latest direct models for rough surfaces are tested and their domain of validity for ERS-1 data is investigated
Keywords :
forestry; geophysical signal processing; geophysical techniques; image classification; radar applications; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; AD 1993; ERS-1; Flevoland Netherlands; Holland; JERS-1; SAR; SAR image; agriculture; backscattering coefficient; bare soil; crops; geophysical measurement technique; image classification; multi-temporal comparison; radar remote sensing; radar scattering; retrieval algorithm; soil moisture; spaceborne; surface roughness; terrain mapping land surface; vegetation forest; Crops; Geophysical measurements; Image retrieval; Information retrieval; Rough surfaces; Soil measurements; Spaceborne radar; Surface roughness; Synthetic aperture radar; Time measurement;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399512