XXII ISPRS Congress 2012: Technical Commission VII

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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

plant canopy can not be explained only by the characteristics of this canopy. This way is important to know every the characteristics of the landscape. 2. METHODS 2. Techniques and Softwares The methodology implemented for this study addressed the acquisition of Hyperion satellite imagery, pre-processing to the scenes, samples selection for appointment of vegetation classes and analysis of results from the spectral response graphs for each class. The acquisition was made by access to e-mail address: http://glovis.usgs.gov. The image used was acquired by the sensor on July 13, 2010. During the pre-processing was used the software ENVI and the tool hyperion tools.sav that allowed the inclusion of scenes and correction of the noise characteristics, in the form LIR. Later was selected the tool for converting raw data into a new file format has the ENVI software. This procedure was necessary because the step of atmospheric correction of images requires scenes with the extension feature of the software. Para a realizaçäo da correçäo atmosférica foi utilizado o modulo FLAASH (Fast Atmospheric sigt Analyst Line of the Spectral Hypercube) presente no software ENVI. The parameters adopted for the implementation of atmospheric correction were: - sensor altitude: 705 km (above sea level); - mean elevation of the image area 0.6 km (kilometers above the sea); - pixel size 30m; - UTC time - 12h38m$4s; - atmospheric model "Mid-Latitude Summer"; - aerosol model - rural scattering algorithm MODTRAN - ISAACS. The final step corresponded to the geometric correction of the scene from Digital Elevation Models on the scale of 1:25,000, provided by the Brazilian Institute of Geography and Statistics - IBGE, and orthophotos on the same scale. With the support of this material were collected 23 control points for the implementation of the adjustment of the scenes and another 21 points to verify the results obtained. The orthorectification was performed at the PCI Geomatics OrthoEngine software version 10. To evaluate the results obtained by the geometric correction, the bands were compared before and after the orthorectification, and classified according to Standard Cartographic Accuracy - PEC, according to current law in Brazil. The PEC is a statistical indicator of dispersion on the 90% probability, which defines the accuracy of cartographic works on a national scale. The probability of 90% corresponds to 1.6449 times the standard error. After adjusting the image was carried out field work to identify different classes of vegetation and the stages of conservation. Some samples were selected. Were considered: Pasture - P, Capoeira - S, Early Stage in Forest Conservation — F1, Forest Conservation Internship in Secondary - F2 and Advanced Internship in Forest Conservation - F3. Among the parameters considered for this classification is the species diversity and degree of canopy closure. 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 Finally, after completion of the image processing , some curves were created representing the spectral reflectance of the objects. In this stage was is possible identify the different responses for each class. 3. RESULTS AND DISCUSSION The atmospheric correction enabled the improvement in spectral response of the targets, especially in areas with vegetation cover. The results observed after the orthorectification of the scene showed that the product meets the class B to a scale of 1:50,000 as indicated by PEC. 3.1 Vegetation cover During the field work were initially identified Pasture samples as seen in Figure 2. This class is very common, especially near the roads. Figure 2. Types of vegetation — Pasture in Duque de Caxias city. The Figure 3 highlights a sample collected to differentiate the areas of capoeira vegetation. The field survey confirmed this characterization, as well as, details to the biophysical characteristics of the vegetation cover. Figure 3. Types of vegetation - Capoeira

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