Literature DB >> 8661612

An Introduction to Digital Methods in Remote Sensing of Forested Ecosystems: Focus on the Pacific Northwest, USA

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Abstract

Aerial photography has been routinely used for several decades by natural resource scientists and managers to map and monitor the condition of forested landscapes. Recently, along with the emergence of concepts in managing forests as ecosystems, has come a significant shift in emphasis from smaller to larger spatial scales and the widespread use of geographic information systems. These developments have precipitated an increasing need for vegetation information derived from other remote sensing imagery, especially digital data acquired from high-elevation aircraft and satellite platforms. This paper introduces fundamental concepts in digital remote sensing and describes numerous applications of the technology. The intent is to provide a balanced, nontechnical view, discussing the shortcomings, successes, and future potential for digital remote sensing of forested ecosystems.

Year:  1996        PMID: 8661612     DOI: 10.1007/bf01203849

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  3 in total

1.  Tropical deforestation and habitat fragmentation in the Amazon: satellite data from 1978 to 1988.

Authors:  D Skole; C Tucker
Journal:  Science       Date:  1993-06-25       Impact factor: 47.728

2.  Compact region extraction using weighted pixel linking in a pyramid.

Authors:  T H Hong; A Rosenfeld
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1984-02       Impact factor: 6.226

3.  Low level image segmentation: an expert system.

Authors:  A M Nazif; M D Levine
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1984-05       Impact factor: 6.226

  3 in total
  1 in total

1.  In-Line Sorting of Harumanis Mango Based on External Quality Using Visible Imaging.

Authors:  Mohd Firdaus Ibrahim; Fathinul Syahir Ahmad Sa'ad; Ammar Zakaria; Ali Yeon Md Shakaff
Journal:  Sensors (Basel)       Date:  2016-10-27       Impact factor: 3.576

  1 in total

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