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2014 | 57 | 192 |

Tytuł artykułu

Estimating forest biomass by remote sensing RADAR data in Brazil

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN

Wydawca

-

Rocznik

Tom

57

Numer

192

Opis fizyczny

p.119-132,fig.,ref.

Twórcy

autor
  • National Institute for Space Research, Sao Jose dos Campos, Brazil
autor
  • National Institute for Space Research, Sao Jose dos Campos, Brazil
  • European Space Agency - ESRIN, Frascati (Roma), Italy

Bibliografia

  • Brasil Econômico [2013]: http://brasileconomico.ig.com.br/noticias/producao-de-celulose-e-papel-fica-estavel-em-2012_127996.html [accessed: 8.12.2013]
  • Bispo P.C. [2012]: Efeitos da geomorfometria na caracterização florístico-estrutural da Floresta Tropical na região de Tapajós com dados SRTM e PALSAR (Effects of geomorphometry in floristic-structural characterization of Tropical Forest at Tapajós region with use of SRTM and PALSAR data). National Institute for Space Research (INPE) [accessed 13.05.2014] Available from: http://urlib.net/8JMKD3MGP7W/3C34QC8 [Ph.D thesis]
  • Bispo P.C., Valeriano M.M., Santos J.R. [2012]: Effects of the geomorphometric characteris-tics of the local terrain on floristic composition in the central Brazilian Amazon. Austral Ecology 34 [4]: 491–499
  • Cloude S.R., Pottier E. [1996]: A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing 34 [2]: 498–518
  • Carvalhaes E. [2013]: Mudanças climáticas - ações globais precisam ser efetivas. 8, [fev.março], Folha da Bracelpa, Publicação da Associação Brasileira de Celulose e Papel (Climate changes - global actions need to be effectives. 8, [fev.março] Folha da Bracelpa Publication of the Brazilian Association of Pulp and Paper) [accessed 13.05.2014]. Available from: http://www.bibliotecaflorestal.ufv.br/bitstream/handle/123456789/3902/FolhaBracelpa-008.pdf?sequence=2, São Paulo
  • Folha da Bracelpa [2013]: Mudanças climáticas – ações globais precisam ser efetivas. 8, [fev.março] Publicação da Associação Brasileira de Celulose e Papel (Climate changes – global actions need to be effectives. 8, [fev.março] Publication of the Brazilian Association of Pulp and Paper). [accessed 13.05.2014] Available from: http://www.bibliotecaflorestal.ufv.br/bitstream/handle/123456789/3902/FolhaBracelpa-008.pdf?sequence=2, São Paulo
  • Freeman A., Durden S.L. [1998]: A three-component scattering model for polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing 36 [3]: 963–973
  • Gama F.F., Santos J.R., Mura J.C. [2010a]: Eucalyptus biomass and volume estimation using interferometric and polarimetric SAR data. Remote Sensing 2 [4]: 939–956
  • Gama F.F., Mura J.C., Albuquerque P.C.G., Santos J.R. [2010b]: Avaliação do potencial da interferometria SAR para o mapeamento altimétrico de áreas reflorestadas por Eucalyptus sp. (Evaluation of the potential of SAR interferometry for altimetry mapping of reforested areas by Eucalyptus sp.). Boletim de Ciências Geodésicas 16 [4]: 519–537
  • Gibbs H.K., Brown S., Nieles J.O., Foley J.A. [2007]: Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters 2: 045023
  • Gonçalves F.G., Santos J.R., Treuhaft R.N. [2011]: Stem volume of tropical forests from polarimetric radar. International Journal of Remote Sensing 32 [2]: 503–522
  • Hendersen F. M., Lewis A.J. [1998]: Radar fundamentals: The geoscience perspective. In: Ryerson, R.A. (ed.), Manual of Remote Sensing: Principles and Applications of Imaging Radar. John Wiley & Sons, Inc. New York JPL/NASA: http://www2.jpl.nasa.gov/srtm/ [accessed: 15.06.2001]
  • Hou Z., Xu Q., Tokola T. [2011]: Use of ALS, airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR. ISPRS Journal of Photogrammetry and Remote Sensing 66 [6]: 776–786
  • Kasischke E.S., Melack J.M., Dobson M.C. [1997]: The use of imaging radar for ecological applications: a review. Remote Sensing of Environment 59 [2]: 141–156
  • Koch B. [2010]: Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment. ISPRS Journal of Photogrammetry and Remote Sensing 65 [6]: 581–590
  • Kugler F., Papathanassiou K.P., Hajnsek I. [2006]: Forest height estimation over tropical forest by means of polarimetric SAR interferometry. Proceedings of: VII Seminário de Atualização em Sensoriamento Remoto e Sistemas de Informações Geográficas Aplicados à Engenharia Florestal, October 2006. Curitiba: 504–512
  • Lee J.S., Pottier E. [2009]: Polarimetric radar imaging: from basics to applications. Taylor & Francis, Boca Raton
  • Li G., Lu D., Moran E., Dutra L.V., Batistella M. [2012]: A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. ISPRS Journal of Photogrammetry and Remote Sensing 70: 26–38
  • Luckman A.J. [1998]: Correction of SAR imagery for variation in pixel scattering area caused by topography. IEEE Transactions on Geoscience and Remote Sensing 36 [1]: 344–350
  • Macedo R.C., Santos J.R., Soares J.V. [2013]:TreeX (TREE EXTRACTOR) – a tool for forest canopy analysis and tree counting with LiDAR data. Revista Brasileira de Cartografia 65 [4]: 627–634
  • Meier E., Frei U., Nuesch D. [1993]: Precise terrain corrected geocoded images. In: Wichmann Verlag, SAR geocoding: data and system, Kalsruhe
  • Neeff T., Biging G.S., Dutra L.V., Freitas C.C., Santos J.R. [2005a]: Modeling spatial tree pattern in the Tapajós forest using interferometric height. Revista Brasileira de Cartografia 57 [1]: 1–6
  • Neeff T., Dutra L.V., Santos J.R., Freitas C.C., Araujo L.S. [2005b]: �Power spectrum analysis of SAR data for spatial forest characterization in Amazonia. International Journal of Remote Sensing 26 [13]: 2851–2865
  • Neter J., Kutner N.H., Nachtssheim C.J., Wasserman W. [1996]: Applied Linear Statistical Models. 4 ed. McGraw Hill, Boston
  • Oliveira L.T., Carvalho L.M.T., Ferreira M.Z., Oliveira T.C.A., Acerbi Junior F.W. [2012]: Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp. Cerne 18 [2]: 175–184
  • Pope K.O., Rey-Benayas J.M., Paris J.F. [1994]:Radar remote sensing of forest and wetland ecosystems in Central American Tropics. Remote Sensing of Environment 2 [48]: 205–219
  • Quegan S. [1994]: A unified algorithm for phase and cross-talk calibration of polarimetric data – theory and observations. IEEE Transactions on Geoscience and Remote Sensing 32 [1]: 89–99
  • Rencher A.C., Schaalje G.B. [2008]: Linear models in statistics. Wiley-Interscience. John Wiley & Sons, Inc., New Jersey
  • Saatchi S., Marlier M., Chazdon R.L., Clark D.B., Russel A.E.S. [2011]: Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass. Remote Sensing of Environment 115 [11]: 2836–2849
  • Sambatti J.B.M., Leduc R., Lübeck D., Moreira J.R.; Santos J.R. [2012]: Assessing forest biomass and exploration in the Brazilian Amazon with airborne InSAR: an alternative to REDD. The Open Remote Sensing Journal 5: 21–36
  • Santos J.R., Freitas C.C., Araujo L.S., Dutra L.V., Mura J.C., Gama F.F., Soler L.S., Sant´Anna S.J.S. [2003]: Airborne P-band SAR applied to aboveground biomass studies in the Brazilian tropical rainforest. Remote Sensing of Environment 87 [4]: 482–493
  • Santos J.R., Martins F.S.R.V., Galvão L.S., Xaud H.A.M. [2013]: Contribution of polarimetric SAR attributes for modeling of the tropical forest biomass affected by fire. Proceedings of: 33º EARSeL Symposium, 3–6 June 2013. Towards Horizon 2020 – Earth Observations and Social Perspectives, Matera: 219–226
  • Shimada M., Isogushi O., Tadono T., Isono K. [2009]: PALSAR radiometric and geometric calibration. IEEE Transactions on Geoscience and Remote Sensing 47 [12]: 3915–3932
  • Stine R. A. [1995]: Graphical Interpretation of Variance Inflation Factors. The American Statistician 49 [1]: 53–56
  • Touzi R. [2007]: Target scattering decomposition in terms of roll-invariant target parameters. IEEE Transactions on Geoscience and Remote Sensing 45[1]: 73–84
  • Touzi R., Deschamps A., Rother G. [2009]: Phase of target scattering for wetland characterization using polarimetric C-band SAR. IEEE Transactions on Geoscience and Remote Sensing 47 [9]: 3241–3261
  • Treuhaft R.N., Chapman B.D., Santos J.R., Gonçalves F.G., Dutra L.V., Graça P.M.L.A., Drake J.B. [2009]: Vegetation profile in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements. Journal of Geophysical Research 114: D23110
  • Treuhaft R.N., Gonçalves F.G., Drake J., Chapman B., Santos J.R., Dutra L.V., Graça P.M.L.A., Purcell G.H. [2010]: Biomass estimation in a tropical wet forest using Fourier transforms of profiles from Lidar or Interferometric SAR. Geophysical Research Letters 37: L23403
  • Valeriano M.M., Albuquerque P.C.G. [2010]: Topodata: Processamento dos Dados SRTM (Topodata: Data Processing SRTM). National Institute for Space Reseacearch (INPE). [accessed 22.05.2014]. Available from:� � � http://mtc-m19.sid.inpe.br/col/sid.inpe.br/mtc-m19%4080/2010/05.10.18.42/doc/publicacao.pdf?ibiurl.language=pt-BR
  • Valeriano M. M., Rossetti D.F. [2012]: Topodata: Brazilian full coverage refinement of SRTM data. Applied Geography 32 [2]: 300–309
  • Woodhouse I.H. [2006]: Introduction to microwave remote sensing, Boca Raton: Taylor & Francis Group CRC Press, Boca Raton
  • Zebker H. A., Norikane L. [1987]: Radar polarimeter measures orientation of calibration corner reflectors. Proceedings of the IEEE 75 [12]: 1686–1688
  • Zonete M.F., Rodriguez L.C.E., Packalén P. [2010]: An estimate of biometric parameters in eucalyptus clone plantations in Southern Bahia: an application of airborne laser scanning (ALS) technology. Scientia Forestalis 38 [86]: 225–235

Typ dokumentu

Bibliografia

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