Mapping wetland environments in the brazilian savannah from high resolution ikonos image data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 62-67

  Barbosa, I ^a,b  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Classification; High resolution; Ikonos; Land cover; Texture; Vegetation; Wetlands

Indexed keywords

ANIMALS; CLASSIFICATION (OF INFORMATION); ECOLOGY; ECOSYSTEMS; PLANTS (BOTANY); REMOTE SENSING; TEXTURES; VEGETATION;

COMPLEX ECOSYSTEMS; HIGH RESOLUTION; IKONOS; LAND COVER; MICROLIGHT AIRCRAFT; TERRESTRIAL PLANTS; TEXTURAL SIGNATURES; WETLAND ENVIRONMENT;

WETLANDS;

EID: 84924054361     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Biodiversitas, 2005. Biodiversidade emMinas Gerais: um atlas para sua conservação [Biodiversity in Minas Gerais: An atlas for its conservation] (Second Edition). Fundação Biodiversitas, Belo Horizonte, Brazil, 242p.
2. Barbosa, I., P. Maillard and T. Alencar-Silva. 2009. Mapping wetlands variation using high resolution image in the pandeiros wildilife Sanctuary, Brazil. Proceeding of 30th Canadian Symp. On Remote Sensing, Lethbridge, Canada.
3. Clausi, D. A. (2000). Comparison and fusion of co-occurrence, Gabor and MRF texture features for classification of SAR seaice imagery. Atmosphere-Ocean 39(3), 183-194.
4. Davis, P.A., M.I. Staid, J.B. Plescia and J.R. Johnson, 2002. Evaluation of airborne image data for mapping riparian vegetation within the grand canyon, Report 02-470, U.S. Geological Survey, Flagstaff, Arizona, 65p.
5. Dechka J.A., Franklin S., Watmough M., Bennett R., and Ingstrup D., 2002. Classification of wetland habitat and vegetation communities using multi-temporal ikonos imagery in southern saskatchewan. Canadian Journal of Remote Sensing 28(5) pp. 679-685.
6. Franklin, S. E., 2001. Remote Sensing for Sustainable Forest Management. Boca Raton, FLA: Lewis Publishers.
7. Haralick, R, 1979. Statistical and structural approaches to texture. The Institute of Electrical and Electronics Engineers, Inc., 67 (5), pp 786-804.
8. Maillard, P. (2003). Comparing texture analysis methods through classification. Photogrammetric Engineering and Remote Sensing 69(4), 357-367.
9. Maillard P., 1999. Texture in High Resolution Digital Images of The Earth. Department of Geographical Sciences and planning, University of Queensland, Australia. PP. 328.
10. Melack, J. M., 2004. Tropical freshwater wetlands. Manual of Remote Sensing for Natural Management and Environmental Monitoring (4th Edition), John Wiley and Sons, Hoboken, New Jersey, pp. 319-343.
11. Mitsch, W. J. and Gosselind J. G., 2007. Wetlands (4th Edition). John Wiley and Sons Inc., Hoboken, New Jersey. pp 582.
12. National Wetlands Working Group, 1997. The Canadian Wetland Classification System (2nd Edition), University of Waterloo, Waterloo, Ontario, Canada pp. 68.
13. Ramsar Convention Secretariat, 2006. The Ramsar convention Manual: A guide to the Convention on Wetlands (Ramsar, Iran, 1971), (4th Edition), Ramsar Convention Secretariat, Gland, Switzerland.