<p class="MsoNormal" style="text-align:justify;">This paper describes the use of Landsat 7 ETM+ for evaluating logged over stand condition. The digital classification and spatial analysis were performed to identity degree of stand damage and their spatial distribution. The study found that Landsat 7 ETM+ images were powerful to identify logged over stand damage having Kappa and overall accuracies more than 99%, as well as interclass separability more than 1900 (good). There is also a spatial relationship between the stand damage and distance from the logging road.</p>

  • Susilawati .
  • I Nengah Surati Jaya

Abstract

This paper describes the use of Landsat 7 ETM+ for evaluating logged over stand condition. The digital classification and spatial analysis were performed to identity degree of stand damage and their spatial distribution. The study found that Landsat 7 ETM+ images were powerful to identify logged over stand damage having Kappa and overall accuracies more than 99%, as well as interclass separability more than 1900 (good). There is also a spatial relationship between the stand damage and distance from the logging road.

How to Cite
., S., & Jaya, I. N. S. (1). <p class="MsoNormal" style="text-align:justify;">This paper describes the use of Landsat 7 ETM+ for evaluating logged over stand condition. The digital classification and spatial analysis were performed to identity degree of stand damage and their spatial distribution. The study found that Landsat 7 ETM+ images were powerful to identify logged over stand damage having Kappa and overall accuracies more than 99%, as well as interclass separability more than 1900 (good). There is also a spatial relationship between the stand damage and distance from the logging road.</p&gt;. Jurnal Manajemen Hutan Tropika, 9(1). Retrieved from https://journal.ipb.ac.id/index.php/jmht/article/view/2796
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