ESTIMATING QUANTITATIVE FOREST ATTRIBUTES USING PLEIADES SATELLITE DATA AND NON-PARAMETRIC ALGORITHMS IN DARABKOLA FORESTS, MAZANDARAN

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ZAHRIBAN M.; FALLAH A.; SHATAEE SH.; KALBI S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Forest and Poplar Research Year:2015 | Volume:23 | Issue:3 Page(s): 465-477

Download Full-Text

Persian Verion

View:

961

Download:

Cites:

Information Journal Paper

Title

ESTIMATING QUANTITATIVE FOREST ATTRIBUTES USING PLEIADES SATELLITE DATA AND NON-PARAMETRIC ALGORITHMS IN DARABKOLA FORESTS, MAZANDARAN

Author(s)

ZAHRIBAN M. | FALLAH A. | SHATAEE SH. | KALBI S. | Issue Writer Certificate

Keywords

DARABKOLA FOREST OF SARIQ2

NON-PARAMETRIC METHODSQ2

PLEIADES SATELLITEQ2

FOREST QUANTITATIVE CHARACTERISTICSQ2

Abstract

Knowledge on quantitative forest attributes is a prerequisite for forest stand management. The aim of this study was to evaluate high resolution Pleiades data in estimating the standing volume and basal area using non-parametric algorithms in DARABKOLA FOREST OF SARI, Mazandaran province. A sampling design of 144 plots each with area of 1000 m2 was established using a systematic random sampling method. In each plot, information including as position of plot center, diameter at breast height of all trees within sample plot and height of selected trees were recorded, based on which the standing volume and basal area per ha were derived. The Pleiades data was preprocessed, and the pixel grey values corresponding to the ground samples were extracted from spectral bands. These were further considered as the independent variables to predict the standing volume and basal area per ha. Modeling was carried out based on 70% of sample plots as training set using K-Nearest Neighbor, support vector machine, and random forest methods. The predictions were cross-validated using the left-out 30% samples. Support vector machine comparatively retuned the best estimates for stand basal area with root mean square error of 38.75% and relative bias of 3.12, while it predicted the stand volume with root mean square error of 45.13% and relative bias of -3.21 as well. The results of study proved the average spectral and spatial capability of Pleiades data to estimate these two main, where the caveats are concluded to be mainly due to the heterogeneity and the density of forest stands across the study area.

Cites

No record.

References

No record.

Cite

APA: Copy

ZAHRIBAN, M., FALLAH, A., SHATAEE, SH., & KALBI, S.. (2015). ESTIMATING QUANTITATIVE FOREST ATTRIBUTES USING PLEIADES SATELLITE DATA AND NON-PARAMETRIC ALGORITHMS IN DARABKOLA FORESTS, MAZANDARAN. IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, 23(3), 465-477. SID. https://sid.ir/paper/111494/en

Vancouver: Copy

ZAHRIBAN M., FALLAH A., SHATAEE SH., KALBI S.. ESTIMATING QUANTITATIVE FOREST ATTRIBUTES USING PLEIADES SATELLITE DATA AND NON-PARAMETRIC ALGORITHMS IN DARABKOLA FORESTS, MAZANDARAN. IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH[Internet]. 2015;23(3):465-477. Available from: https://sid.ir/paper/111494/en

IEEE: Copy

M. ZAHRIBAN, A. FALLAH, SH. SHATAEE, and S. KALBI, “ESTIMATING QUANTITATIVE FOREST ATTRIBUTES USING PLEIADES SATELLITE DATA AND NON-PARAMETRIC ALGORITHMS IN DARABKOLA FORESTS, MAZANDARAN,” IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, vol. 23, no. 3, pp. 465–477, 2015, [Online]. Available: https://sid.ir/paper/111494/en

Related Journal Papers