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Fractal modelling of the remotely sensed two-dimensional net primary production pattern with annual cumulative AVHRR NDVI data.

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Title: Fractal modelling of the remotely sensed two-dimensional net primary production pattern with annual cumulative AVHRR NDVI data.
Authors: Ricotta, C., Avena, G. C.
Source: International Journal of Remote Sensing. 08/10/98, Vol. 19 Issue 12, p2413-2418. 6p.
Subjects: Image analysis, Fractals, Artificial satellites, Remote-sensing images
Geographic Terms: West (U.S.), United States
Abstract: A major challenge facing ecologists and environmental managers studying the Earth as a global system is the quantitative description of broadscale net primary productivity (NPP) patterns. For instance, at broad spatial scales, direct estimations of NPP obviously cannot be considered and analysis of remotely sensed data appears to be the appropriate tool. In this letter, we show a method based on fractal statistics to measure the two-dimensional spatial pattern of broad-scale remotely sensed net primary production values. The results of applying this method on annual cumulative NDVI data (SigmaNDVI) obtained from the AVHRR sensor for a portion of western United States show that fractal analysis can be used to summarize the self-similar spatial pattern of broad-scale SigmaNDVI values over a large spatial range. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 3844647
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Fractal modelling of the remotely sensed two-dimensional net primary production pattern with annual cumulative AVHRR NDVI data.
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  Data: <searchLink fieldCode="AR" term="%22Ricotta%2C+C%2E%22">Ricotta, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Avena%2C+G%2E+C%2E%22">Avena, G. C.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Remote+Sensing%22">International Journal of Remote Sensing</searchLink>. 08/10/98, Vol. 19 Issue 12, p2413-2418. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Fractals%22">Fractals</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+satellites%22">Artificial satellites</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22West+%28U%2ES%2E%29%22">West (U.S.)</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A major challenge facing ecologists and environmental managers studying the Earth as a global system is the quantitative description of broadscale net primary productivity (NPP) patterns. For instance, at broad spatial scales, direct estimations of NPP obviously cannot be considered and analysis of remotely sensed data appears to be the appropriate tool. In this letter, we show a method based on fractal statistics to measure the two-dimensional spatial pattern of broad-scale remotely sensed net primary production values. The results of applying this method on annual cumulative NDVI data (SigmaNDVI) obtained from the AVHRR sensor for a portion of western United States show that fractal analysis can be used to summarize the self-similar spatial pattern of broad-scale SigmaNDVI values over a large spatial range. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/014311698214802
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      – Code: eng
        Text: English
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        PageCount: 6
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      – SubjectFull: Image analysis
        Type: general
      – SubjectFull: Fractals
        Type: general
      – SubjectFull: Artificial satellites
        Type: general
      – SubjectFull: Remote-sensing images
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      – SubjectFull: West (U.S.)
        Type: general
      – SubjectFull: United States
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      – TitleFull: Fractal modelling of the remotely sensed two-dimensional net primary production pattern with annual cumulative AVHRR NDVI data.
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              Text: 08/10/98
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              Y: 1998
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