23 February 2000 Soil-vegetation discrimination and assessment in satellite imagery
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Proceedings Volume 4068, SIOEL '99: Sixth Symposium on Optoelectronics; (2000) https://doi.org/10.1117/12.378635
Event: SIOEL: Sixth Symposium of Optoelectronics, 1999, Bucharest, Romania
Abstract
This paper presents an analysis of the remote sensing methods of extracting information on soils and land cover. For this porpoise we selected Danube Delta, a complex ecosystem, with an important role in Romanian environment and economy. Several types of satellite images were used; in order to assess their suitability in land cover and vegetation changes detection. Landsat MSS and TM, ERS 1 and 2 images were used. We applied contrast enhancing and special filtering procedures to improve image and remove speckle. At the end of this phase, we obtained good quality images with not significant information losses. One these images we performed unsupervised and supervised classifications. The result of this application was the confirmation that only combined sets of images can be a useful tool for land cover assessment, vegetation and soil discrimination. Beside the multi sensor approach, another condition for a compete observation is the multitemporal approach, by using several images acquired at different intervals of time, in this way we can obtained a good vegetation discrimination on seasonal basis.
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Alexandra Caramizoiu, Cristina Aiftimiei, Axente D. Stoica, "Soil-vegetation discrimination and assessment in satellite imagery", Proc. SPIE 4068, SIOEL '99: Sixth Symposium on Optoelectronics, (23 February 2000); doi: 10.1117/12.378635; https://doi.org/10.1117/12.378635
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