Paper
30 October 2007 Strategies of remote sensing monitoring of changes in NATURA 2000 sites: a practical assessment in coastal mountains of NW Iberian Peninsula
Ramón A. Diaz Varela, Pablo Ramil Rego, M. Silvia Calvo Iglesias
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Abstract
Monitoring of landscape and vegetation dynamics needs cost-effective methods for the analysis and management of large multitemporal datasets. Medium resolution satellite imagery temporal series such as Landsat or Spot, offer attractive possibilities for automatic temporal change detection in broad areas. In the present work we used such datasets for the identification of land cover changes, particularly those involving environmental impacts, during the period 1991- 2003 in a Natura 2000 site in the Northern Mountains of Galicia (NW Iberian Peninsula). We targeted changes related to new industrial and intensive agricultural activities that affect natural and semi natural valuable ecosystems as well as dynamics of traditional agricultural systems. We tested different methods, involving the generation of change images from PCA, selective PCA and NDVI differencing on multitemporal compositions of Landsat TM images. The effects of different image radiometric corrections on methods based on NDVI were also assessed. Object oriented classification was used for the classification of continuous change images in change/no change thematic categories. The use of PCA on high dimensionality Landsat TM bands composition outperformed the rest of the methods and also allowed the removal of atmospheric effects not related to effective land cover changes. Radiometric corrections had low impact on the accuracy of methods based on multitemporal NDVI compositions.
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Ramón A. Diaz Varela, Pablo Ramil Rego, and M. Silvia Calvo Iglesias "Strategies of remote sensing monitoring of changes in NATURA 2000 sites: a practical assessment in coastal mountains of NW Iberian Peninsula", Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 674932 (30 October 2007); https://doi.org/10.1117/12.739270
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Cited by 3 scholarly publications.
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KEYWORDS
Principal component analysis

Radiometric corrections

Image classification

Vegetation

Earth observing sensors

Landsat

Air contamination

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