IDENTIFICATION OF VEGETATION PATTERNS AND FOREST FRAGMENTS ANALYSIS FROM DIGITAL IMAGE PROCESSING AND MORPHOMETRIC ANALYSIS WITH ASTER IMAGES IN THE CITY OF CROMÍNIA-GO
DOI:
https://doi.org/10.26512/2236-56562012e39931Keywords:
Digital image processing, morphometric analysis, forest fragmentsAbstract
In areas of the Cerrado can find different vegetation types, including forest types, savanna and grassland, with quantities of biomass related to environmental characteristics in which they are. Much of the area that once composed this biome is profoundly modified by human action to alter natural areas giving continuous form of a mosaic of fragmented and isolated environments. We found an important remote sensing tool that allows us to extract information relating to various characteristics of the vegetation of a certain place, thus assisting in identifying and monitoring patterns of changes that may interfere directly with ecological processes. This paper seeks to identify patterns of vegetation, using techniques of spectral classification, together with analysis of morphometric data and check the condition of spatial fragments of forest types present in the town of Cromer (GO). This study used ASTER products to identify patterns of vegetation by means of spectral techniques of classification of satellite images and morphometric analysis of data and subsequent analysis of the fragments using the program Fragstats. The methodology applied in this work involved the following steps: (1) Pre-processing of satellite images, (2) spectral classification, (3) Processing of ASTER DEM for the generation of Digital Elevation Model (DEM), (4) generation of morphometric data, (5) Relationship of vegetation patterns with morphometric data, (6) Analysis of spatial distribution of the remaining forest fragments through the program Fragstats.
References
ABRAMS, M. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): data products for the high spatial resolution imager on NASA’s Terra platform. International Journal of Remote Sensing, v. 21, n. 5, 2000, p. 847–859.
ADÁMOLI, J.; MACEDO, J.; AZEVEDO, L. G.; NETTO, J. M. Caracterização da região dos Cerrados. In: W. J. GOEDERT (ed). Solos dos Cerrados: tecnologias e estratégias de manejo, Planaltina: EMBRAPA-CPAC; São Paulo, Nobel, 1987,33-98.
AGÊNCIA AMBIENTAL DE GOIÁS. Base de dados: determinação de áreas prioritárias para unidades de preservação – Cons.imagem/WWF; 08/07/2005. Disponível em: <http://www.sieg.go.gov.br/>, acessado em 13/09/2006.
ANDRADE, A.C. Análise dos Fragmentos Florestais na Bacia do Rio Ariranha (SC), a partir de Imagem Ikonos, associada à Geomorfologia como Subsídio à Gestão Ambiental. Dissertação de Mestrado em Gestão Ambiental e Territorial – Universidade de Brasília, Brasília, 2005 p. 39-44.
BOARDMAN, J. W.; KRUSE, F. A. Automated spectral analysis: A geologic example using AVIRIS data, north Grapevine Mountains, Nevada: In: ERIM - Thematic Conference on Geologic Remote Sensing, 10, Environmental Research Institute of Michigan, Ann Arbor, MI. Proceedings, v. 1,1994, p. 407-418.
BOARDMAN, J. W.; KRUSE, F. A.; GREEN, R. O. Mapping target signatures via partial unmixing of AVIRIS data. In: Proceedings of The 5th. JPLAirborne Earth Science Workshop. Pasadena: Jet Propulsion Laboratory, 1995, p. 23-26.
BRADSHAW, A.D. An ecologist’s viewpoint. In: Ecological Aspects of the Mineral Nutrition of Plants, Rorison, I.H. (ed.), Blackwell Scientific Publications, Oxford and Edinburgh, 415-427. 1969.
BRASIL, Ministério das Minas e Energia. Secretaria-Geral. Projeto RADAMBRASIL. Folha SD.22. Goiás; geologia, geomorfologia, pedologia e uso potencial da terra. Rio de Janeiro, 1981. 640 p.
BROWN DE COLSTOUN, E. C.; STORY, M. H.; THOMPSON, C.; COMMISSO, K.; SMITH, T. G.; IRONS, J. S. National Park vegetation mapping using multitemporal Landsat 7 data and a decision tree classifier. Remote Sensing of Environment, v.85, p. 316-327, 2003.
CARVALHO JUNIOR, O. A.; CARVALHO, A. P. F., GUIMARÃES, R. F.; LOPES, R. A. S.; GUIMARÃES, P. H.; MARTINS, E. S.; PEDRENO, J. N. Classification of Hyperspectral Image Using SCM Methods for Geobotanical Analysis in the Brazilian Savanna Region. In: Proceedings of the International Geoscience and Remote Sensing Symposium, 2003, Toulouse. IGARSS 2003. Piscataway, NJ, USA: IEEE, 2003. v. IV. p. 3754-3756. 2003.
CARVALHO JUNIOR, O.A.; GUIMARÃES, R. F.; MARTINS, E. DE S; CARVALHO, A.P.F.; GOMES, R.A.T. Aplicação do Método de Identificação Espectral para Imagens do Sensor ASTER em Ambiente de Cerrado. Revista Brasileira de Geofísica, v.23, n.2 2005, p. 1-14 CARVALHO, A.P.F.;
CARVALHO JUNIOR, O.A.; GUIMARÃES, R.F.; MADEIRA NETO, J. S.; BUSTAMANTE, M. M. C. Measurement of color in hyperspectral images (AVIRIS) using the CIE (Commission Internationale D’éclairage) system. In: JPL Airborne Earth Science Workshop, 2001, California, Pasadena. Proceedings of the Tenth JPLAirborne Earth Science Workshop. California, Pasadena : NASA - JPL, v. JPL-02. p. 133-140. 2001
COLVOCORESSES, A.P. An automated mapping satellite system (Mapsat). In: Photogrammetric Engineering and Remote Sensing, v.48, n.10, 1982, p.1585– 159.
COUTINHO, L. M. Fire in the ecology of the Brazilian Cerrado. In: J. G. Goldammer, Fire in the tropical biota: ecosystem processes and global challenges, Berlim: SpringerVerlag, 1990, p.82-103.
CUARTERO, A.; FELICÍSIMO, A. M.; ARIZA, F. J. Accuracy, Reliability, and Depuration of SPOT HRV and Terra ASTER Digital Elevation Models. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 43, n. 2, 2005, p. 404-407.
EITEN, G. The cerrado vegetation of Brazil. In: The Botanical Review, v. 38, n. 2, p, 1972, 201-341. ESRI. Understanding GIS – The ARC/INFO Method. New York: Wiley, 1993. 535 p.
ESRI. Understanding GIS – The ARC/INFO Method. New York: Wiley, 1993. 535 p.
FORMAN, R.T.T.; ALEXANDER, L.E. Roads and their major ecological effects. Anual Review of Ecology and Systematics, v.29, 1998 p.207-231,.
FUJISADA, H. Overview of ASTER instrument on EOS-AM1 platform. Proceedings of SPIE, vol. 2268, The International Society for Optical Engineering, 1994, p. 14– 36.
FUJISADA, H.; SAKUMA, F.; ONO, A.; KUDOH, M. Design and pre-flight performance of ASTER instrument protoflight model. IEEE Transactions on Geoscience and Remote Sensing, v.36, n.4, 1998, p. 1152-1160.
FURLEY, P. A. The nature and diversity of neotropical savanna vegetation with particular reference to the Brazilian cerrados. Global Ecology and Biogeography, v. 8,1999, p. 223-241.
GREEN, A. A.; BERMAN, M.; SWITZER, P.; CRAIG, M. D. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, v.26, 1988, p. 65-74.
Instituto Brasileiro de Geografia e Estatística (IBGE); Mapa de Solos. Disponível em: <http://www.ibge.org.br/>.Acesso em: 30 ago. 2006.
JET PROPULSION LABORATORY(JPL). ASTER higher-level product user guide. JPL D20062, 2001, 80p.
KRUCKLEBERG, A.R. Soil diversity and the distribution of plants with examples from western North America, Madroño, 20, 129-154. 1969.
KRUSE F A, LEFKOFF A B, BOARDMAN J W, HEIEDBRECHT K B, SHAPIRO AT, BARLOON P J & GOETZ A F H. The Spectral Image Processing System (SIPS) – interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Enviroment, v.44, 1993, p. 145-163.
MARQUES, A. J. Mapeamento de Fragmentos de Mata no Município de Maringá, PR: Uma abordagem da ecologia da paisagem. Dissertação apresentada ao Programa de Pós-Graduação em Ciências Cartográficas, Universidade Estadual Paulista, Presidente Prudente, São Paulo, 2004 p. 03.
MCGARIGAL, K; MARKS, B.J. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. Gen. Tech. Rep. PNW-GTR-351. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 1995, 122 p.
NAVARRO, G. R. B.; ZANARDO, A. Caracterização Metamórfica /Estrutural dos Corpos Metaultramáficos da Região de Mairipotaba-Cromínia e Pontalina Goiás. Revista Brasileira de Geociências. V:35,n.4, 2005, p.483-492
RIBEIRO, J. F.; WALTER, B. M. T. As matas de galeria no contexto do bioma Cerrado. In: Cerrado: Caracterização e recuperação de matas de galeria, Planaltina: Embrapa Cerrados, , 2001, p. 29-47.
RIBEIRO, J. F.; WALTER, B. M. T. Fitofisionomias do bioma Cerrado. In: Cerrado: ambiente e flora. Planaltina: Embrapa Cerrados, 1998, p. 89-166,
RODRIGUES, V. G.; ANGELI, N. Petrologia e Geoquímica das Ocorrências de Cromitas na Região de Mairipotaba e Cromínia, (GO). In: VIII Simpósio de Geologia do Sudoeste. São Pedro, São Paulo, 2003.
SAFAVIAN, S. R.; LANDGREBE, D. A survey of decision tree classifier methodology. IEEE Transaction on Systems, Man, and Cybernetics, 21, 1991, p. 660-674.
VALERIANO, M. M. Modelos Digitais de Elevação de Microbacias Elaborados com Krigagem. Ministério da Ciência e Tecnologia Instituto Nacional de Pesquisas Espaciais, 2002, p. 56
VICENTINI, K. R. F. Análise Palinológica de uma Vereda em Cromínia (GO). Dissertação de Mestrado em Ecologia –Universidade de Brasília, Brasília, 1993, p. 86.
VOLOTÃO, C. F. de S. Trabalho de análise espacial métricas do FRAGSTATS. São José dos Campos. Ministério Da Ciência E Tecnologia Instituto Nacional De Pesquisas Espaciais Curso De Pós-Graduação Em Sensoriamento Remoto. São Paulo, 1998, 48 p.
WEISS, S. M. KULIKOWSKI, C. A. Computer Systems that learn. San Mateo: Morgan Kaufman Publishers, 1991.
YAMAGUCHI Y.; KAHLE, A.; TSU, H.; KAWAKAMI, T.; PNIEL, M. Overview of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). IEEE Transactions on Geoscience and Remote Sensing, v.36 n.4, 1998, p. 1062-1071.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
