XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: SPECTRAL ANALYSIS OF DIFFERENT VEGETATION COVER USING THE HYPERION SENSOR - A CASE STUDY IN THE STATE OF RIO DE JANEIRO - BRAZIL E. M. F. R. de Souza, R. S. Vicens, A. E. P. Rosa, C. B. M. Cruz

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia SPECTRAL ANALYSIS OF DIFFERENT VEGETATION COVER USING THE HYPERION SENSOR - A CASE STUDY IN THE STATE OF RIO DE JANEIRO - BRAZIL E. M. F. R. de Souza ??, , R. S. Vicens *, A. E. P. Rosa *, C. B. M. Cruz? a UFF, Dept. of Geography, Federal University Fluminense, Brazil, Niteroi - (elizabethmfr, rsvicens, anely2509)@gmail.com b UFRJ, Dept. of Geography, Federal University of Rio de Janeiro, Brazil, Rio de Janeiro, (carlamad@gmail.com) Commission VII/3 KEY WORDS: Hyperespectral, Vegetation cover, Landscape, Remote Sensing, Atlantic Forest. ABSTRACT: The knowledge about of land use and current status of vegetation represent important steps in understanding the spatial dynamics in areas with increased removal of vegetation and human disturbance. This feature is very common in its Brazil considering the biophysical diversity observed. In this sense, interest in patterns and processes that lead to environmental changes has been receiving great support from geoprocessing and remote sensing for monitoring, environmental and planning of natural resources. Following this trend, the study uses products from hyperspectral geotechnology to identify new methods of analysis of the landscape, in areas with vegetation remnants of Atlantic Forest in the State of the Rio de Janeiro. 1. INTRODUCTION 1.1 Relevance of the Research This study seeks to determine the classification targets that represent the vegetation Atlantic Forest using hyperspectral remote sensing. Actions focused on environmental management and control of deforestation will be benefited with the results. In this context is important to note that the use of geotechnologies, especially the remote sensing techniques already were adopted in studies of different vegetation covers during the '40s through the use of the aerial photographs. The results obtained by RADAM Brazil represent an important milestone for the application of this tool. This aspect is important because show the beginning to specific applications in landscape and the classification of images or photos for the generation of thematic maps. According Ponzoni and Shimabukuro (2007) during the 80 begin the activities for the classification of different vegetation cover with an emphasis on qualitative analysis. The context begins to change from the 90's. In this moment arise new studies with remote sensing to explore the quantitative aspects, from the study of correlation between the biophysical and geophysical parameters of the environment, and radiometric data extracted from the images. 1.2 Objectives and Study Area The aim of this study is to explore a geotechnology still little known among specialists in geosciences, especially geography, in order to identify the stages of vegetative conservation, considering the different spectral responses of vegetation in a section with the availability of hyperspectral images, in the State of Rio de Janeiro - Brazil. They are specifics objectives: Analysis of hyperspectral images and spectral responses for the different types surface, highlighting the spectral responses obtained for the structures of forest fragments in approximate. scale of 1:100,000, using the samples and analysis of resulting graphs. The study area covers the cities of Paraíba do Sul, Areal, Petrópolis and Duque de Caxias, in the Rio de Janeiro state. The Figure 1 highlights the study area. Figure 1. Study area According to Souza (2009) the knowledge about the spectral behavior of vegetation is essential for the correct extraction of different classes from the images. According to Goel (1988), the radiation detected by the sensors is a function of parameters of the radiation source, the atmosphere, canopy of the trees, soil, parameters of the sensor. So what is actually measured by a remote sensor come from a

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