Improvement of Forest Canopy Density Model Using Remote Sensing Data Integration

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Taefi Feijani Masoud; Alimohammadi Sarab Abbas; VALADAN ZOEJ MOHAMMAD JAVAD

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Paper Information

Journal: Journal of Space Science and Technology Year:2019 | Volume:12 | Issue:3 (40) Page(s): 31-42

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Title

Improvement of Forest Canopy Density Model Using Remote Sensing Data Integration

Author(s)

Taefi Feijani Masoud | Alimohammadi Sarab Abbas | VALADAN ZOEJ MOHAMMAD JAVAD | Issue Writer Certificate

Keywords

Spectral responseQ1

Data integrationQ1

Classification accuracyQ1

Forest density classesQ1

Forest canopy density mapperQ1

Abstract

Forest canopy density mapper is a method based on spectral indexes integration in forest canopy density classification. In this paper, a Data integration procedure is used to improve the result. In this respect, SFIM method and Spectral response algorithm is utilized without a bad effect on the spectral and radiometric properties of bands. In the following, Landsat images of Hyrcanian forests in the north of Iran were used to implement the conventional and improved methods. Also, the ground measurements including grass-land, thin forest, semi-dense forest and forest is utilized for evaluation. The result shows that the forest canopy density model is inefficient in the thin and semi-dense forests. Alternatively, the results in the dense forest and grass land is reliable. Additionally, the improvement of the proposed method in these two areas is clearly seen. It seems that a high resolution image should be used to improve the accuracy of the forest density classification in the semi-dense and thin forests.

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APA: Copy

Taefi Feijani, Masoud, Alimohammadi Sarab, Abbas, & VALADAN ZOEJ, MOHAMMAD JAVAD. (2019). Improvement of Forest Canopy Density Model Using Remote Sensing Data Integration. JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST), 12(3 (40) ), 31-42. SID. https://sid.ir/paper/391091/en

Vancouver: Copy

Taefi Feijani Masoud, Alimohammadi Sarab Abbas, VALADAN ZOEJ MOHAMMAD JAVAD. Improvement of Forest Canopy Density Model Using Remote Sensing Data Integration. JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST)[Internet]. 2019;12(3 (40) ):31-42. Available from: https://sid.ir/paper/391091/en

IEEE: Copy

Masoud Taefi Feijani, Abbas Alimohammadi Sarab, and MOHAMMAD JAVAD VALADAN ZOEJ, “Improvement of Forest Canopy Density Model Using Remote Sensing Data Integration,” JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST), vol. 12, no. 3 (40) , pp. 31–42, 2019, [Online]. Available: https://sid.ir/paper/391091/en

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