Artículos de revistas
Discrimination Among Flooded Forest Phytophysiognomies From Iterated Conditional Modes Algorithm Applied To Sar Data R99 (quad Pol/l-band) [discriminação De Fitofisionomias De Floresta De Várzea A Partir Do Algoritmo Iterated Conditional Modes Aplicado Aos Dados Sar/r99 (quad-pol/banda L)]
Registro en:
Acta Amazonica. , v. 41, n. 4, p. 471 - 780, 2011.
445967
10.1590/S0044-59672011000400005
2-s2.0-80054715753
Autor
Nunes G.M.
de Souza Filho C.R.
Ferreira L.G.
Institución
Resumen
This study seeks to evaluate the capability of data generated by the synthetic aperture radar SA R R99 sensor to map phytophysiognomies found in the Amanã and Mamirauá Sustainable Development Reserves (RDSA and RDSM). By means of L-band (1.28 GHz), full polarimetric (HH, VV, VH, HV), amplitude data acquired with the SAR R99 sensor, distinctions among flooded forest phytophysiognomies in the RDSA and RDSM and around were achieved. The Iterated Conditional Modes (ICM) algorithm was employed to perform the local/contextual polarimetric classification of the data. Results showed that the use of multivariate distributions in amplitude with a band of texture produced classifications of superior quality in relation to those obtained with the uni/bivariate polarimetric data. This approach allowed to obtain a Kappa index of 0,8963 and the distinction of three vegetation classes of interest, demonstrating the potential of SAR R99 and the ICM algorithm to map flooded vegetation of the Amazon. 41 4 471 780 Aboud Neta, S.R., Freitas, C.C., Dutra, L.V., Use of Multipolarized ALOS /PALSAR Image for Detection of Increment of Deforestation in the Amazon (2010) Revista Brasileira De Cartografia, 62, pp. 417-431. , in Portuguese, with abstract in English Ayres, J.M., (2006) Flooded Forests In the Mamirauá: Middle Solimões River, p. 124. , 3a. ed. Sociedade Civil Mamirauá, in Portuguese Correia, A.H., (1999) Project, Development and Evaluation of Pointwise Statistics and Contextual Classifiers For Polarimetric SAR Images, p. 275. , Dissertação de Mestrado, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, in Portuguese, with abstract in English Costa, M., Niemann, O., Novo, E., Ahern, F., Mantovani, J., Biophysical properties and mapping of aquatic vegetation during the hydrological cycle of the Amazon floodplain using JERS-1 and RADARSAT (2002) International Journal of Remote Sensing, 23, pp. 1401-1426 de Jong, J., Klaassen, W., Ballast, A., Rain storage in forests detected with ERS tandem mission SA R (2000) Remote Sensing of Environment, 72, pp. 170-180 Dutra, L.V., Huber, R., Feature Extraction and Selection for ERS-1/2 InSAR Classification (1999) International Journal of Remote Sensing, 20: 993-, p. 1016 Fernandez, G.A.V., Rate correlation between different polarizations of the L- and X-band SAR image acquired by the R99-B SIPAM seeking mapping logging (2007) Simpósio Brasileiro De Sensoriamento Remoto, pp. 7057-7062. , Florianópolis, INPE. (in Portuguese, with abstract in English) Freitas, C.C., Soler, L.S., Sant'anna, S.J.S., Dutra, L.V., Santos, J.R., Mura, J.C., Correia, A.H., Land-Use and Land-Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data (2008) IEEE Transactions On Geoscience and Remote Sensing, 46, pp. 2956-2970 Gonçalves, F.G., Polarimetric SAR data analysis for tropical forest volume estimation (2007) Dissertação De Mestrado, São José Dos Campos, INPE, p. 109. , in Portuguese, with abstract in English Gualberto, L.P.S., Souza Filho, P.W.M., (2007) Recognition of Coastal Environments From Textural Analysis of R99B SAR Images (L-band, VV Polarization, pp. 4889-4896. , In: Simpósio Brasileiro de Sensoriamente Remoto, Florianópolis, INPE (in Portuguese, with abstract in English) Guerra, J.B., Mura, J.C., Freitas, C.C., Discriminating deforestation increment areas in the Amazon rainforest with L band SAR R99B data (2010) Acta Amazonica, 40, pp. 557-566. , in Portuguese, with abstract in English Hess, L.L., Melack, J., Novo, E.M.L.M., Barbosa, C.C.F., Gastil, M., Dual-season mapping of wetland inundation and vegetation for the Central Amazon Basin (2003) Remote Sensing of Environment, 87, pp. 404-428 Kasischke, E.S., Melack, J.M., Dobson, M.C., The use of imaging radars for ecological applications - a review (1997) Remote Sensing of Environment, 59, pp. 141-156 Krohn, D.M., Milton, N.M., Segal, D.B., SEASAT synthetic aperture radar (SAR) response to lowland vegetation types in eastern Maryland and Virginia (1983) Journal of Geophysical Research, 88, pp. 1937-1952 Landis, J.R., Koch, G.G., The measurements of observer agreement for categorical data (1977) Biometrics, 33, pp. 159-174 le Toan, T., Ribbes, F., Floury, N., Wang, L.F., Ding, K.H., Kong, J.A., Fujita, M., Kurosu, T., Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results (1997) IEEE Transactions On Geoscience and Remote Sensing, 35, pp. 41-56 Lucas, R.M., Moghaddam, M., Cronin, N., Microwave scattering from mixed species woodlands, central Queensland, Australia (2004) IEEE Transactions On Geoscience and Remote Sensing, 42, pp. 2142-2159 Miranda, F.P., Beisl, C.H., Camargo, E.C.G., (2007) Textural Classification of R99 SAR Data As An Aid to Flood Mapping In Coari City, Western Amazon Region, Brazil, pp. 4935-4942. , In: Simpósio Brasileiro de Sensoriamento Remoto, Florianópolis, INPE. (in Portuguese, with abstract in English) Narvaes, I.S., Santos, J.R., Silva, A.Q., Analysis of structural parameters of forest typologies using L-band SAR data (2010) Boletim De Ciências Geodésicas, 16, pp. 475-489 Rosenqvist, A., Shimada, M., Chapman, B., Freeman, A., de Grandi, G.F., Saatchi, S., Rauste, Y., The global rain forest mapping project - a review (2000) International Journal of Remote Sensing, 21, pp. 1375-1387 Rosenqvist, A., Milne, A., Lucas, R., Imhoff, M., Dobson, C., A review of remote sensing technology in support of the Kyoto Protocol (2003) Environment Science & Policy, 6, pp. 441-455 Rosenqvist, A., Shimada, M., Chapman, B., McDonald, K., de Grandi, G., Jonsson, H., Williams, C., Matsumoto, M., (2004) An Overview of the JERS-1 SAR Global Boreal Forest Mapping (GBFM) Project, , IGARSS'04, Anchorage, Alaska, USA, access September 20-24 Rosenqvist, A., Shimada, M., Watanabe, M., Tadono, T., Yamauchi, K., (2004) Implementation of Systematic Data Observation Strategies For ALOS PALSAR, PRISM and AVNIR-2, , IGARSS'04, Anchorage, Alaska, USA, access September 20-24 Rosenqvist, A., Finlayson, C.M., Lowry, J., Taylor, D., The potential of long-wavelength satellite-borne radar to support implementation of the Ramsar wetlands convention (2007) Aquatic Conservation Maine Freshwater Ecosystem, 17, pp. 229-244 Saatchi, S., Agosti, D., Alger, K., Delabie, J., Musinsky, Y.J., Examining fragmentation and loss of primary forest in the Southern Bahian Forest of Brazil with radar imagery (2001) Conservation Biology, 15, pp. 867-875 Santos, J.R., Narvaes, I.S., Graça, P.M.L.A., Gonçalves, F.G., Polarimetric responses and scattering mechanisms of tropical forests in the Brazilian Amazon (2009) Advances In Geoscience and Remote Sensing, pp. 183-206. , In: G. Jedlovec (ed.), 1a. ed. Vukovar, Croatia (2007) ProAE - Monitoring Program Special Areas Identification of Deforestation On Indigenous Lands and Conservation Areas In the States of Acre, Mato Grosso and Rondonia - Technical Report, , SIPAM,. Centro Técnico Operacional de Porto Velho, Divisão de Monitoramento do Território, Porto Velho-RO, SIPAM/CTOPV- ProAE CD-ROM. (in Portuguese Ulaby, F.T., Moore, R.K., Fung, A.K., (1982) Microwave Remote Sensing: Active E Passive: Radar Remote Sensing and Surface Scattering and Emission Theory, p. 1064. , 2a ed. Norwood, MA, Artech House Vieira, P.R., (1996) Development of Maximum Likelihood and ICM Classifiers For SAR Images, , Dissertação de Mestrado, Instituto de Nacional de Pesquisas Espaciais, São José dos Campos. (in Portuguese, with Abstract in English) Wittmann, F., Anhuf, D., Junk, W.J., Tree species distribution and community structure of central Amazonian várzea forests by remote-sensing techniques (2002) Journal of Tropical Ecology, 18, pp. 805-820