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An Evaluation of Radarsat-1 and ASTER Data for Mapping Veredas (Palm Swamps)
- Source :
- Sensors (Basel, Switzerland), Sensors, Vol 8, Iss 9, Pp 6055-6076 (2008), Sensors; Volume 8; Issue 9; Pages: 6055-6076
- Publication Year :
- 2008
-
Abstract
- Veredas (palm swamps) are wetland complexes associated with the Brazilian savanna (cerrado) that often represent the only available source of water for the ecosystem during the dry months. Their extent and condition are mainly unknown and their cartography is an essential issue for their protection. This research article evaluates some of the fine resolution satellite data both in the radar (Radarsat-1) and optical domain (ASTER) for the delineation and characterization of veredas. Two separate approaches are evaluated. First, given the known potential of Radarsat-1 images for wetland inventories, the automatic delineation of veredas is tested using only Radarsat-1 data and a Markov random fields region-based segmentation. In this case, to increase performance, processing is limited to a buffer zone around the river network. Then, characterization of their type is attempted using traditional classification methods of ASTER optical data combined with Radarsat-1 data. The automatic classification of Radarsat data yielded results with an overall accuracy between 62 and 69%, that proved reliable enough for delineating wide and very humid veredas. Scenes from the wet season and with a smaller angle of incidence systematically yielded better results. For the classification of the main vegetation types, better results (overall success of 78.8%) were obtained by using only the visible and near infrared (VNIR) bands of the ASTER image. Radarsat data did not bring any improvement to these classification results. In fact, when using solely the Radarsat data from two different angle of incidence and two different dates, the classification results were low (50.8%) but remained powerful for delineating the permanently moist riparian forest portion of the veredas with an accuracy better than 75% in most cases. These results are considered good given the width of some types often less than 50 m wide compared with the resolution of the images (12.5 - 15 m). Comparing the classification results with the Radarsat-generated delineation allows an understanding of the relation between synthetic aperture radar (SAR) backscattering and vegetation types of the veredas.
- Subjects :
- Synthetic aperture radar
Buffer zone
Wetland
Vegetation types
lcsh:Chemical technology
Supervised Classification
Biochemistry
Swamp
Article
Analytical Chemistry
law.invention
ASTER
law
Markov Random Fields
Riparian forest
lcsh:TP1-1185
Electrical and Electronic Engineering
Radar
Instrumentation
Remote sensing
geography
geography.geographical_feature_category
Unsupervised Classification
Radarsat
Wetlands
Palm swamps
Atomic and Molecular Physics, and Optics
VNIR
Palm
Geology
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 8
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....b3ecedd84a79b52f8f7055838deeaa2f