Investigating the capabilities of aerial digital images of UltraCam-D Camera to identify Zizyphus spina chrisiti and Astragalus spp. in semi-arid regions (Case study: Poshtkuh, Bushehr province)

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Rashidi M.J.; FALLAH A.; SHATAEE JOIBARY SH.

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Journal: Journal of Arid Biome Year:2020 | Volume:9 | Issue:2 Page(s): 71-84

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Title

Investigating the capabilities of aerial digital images of UltraCam-D Camera to identify Zizyphus spina chrisiti and Astragalus spp. in semi-arid regions (Case study: Poshtkuh, Bushehr province)

Author(s)

Rashidi M.J. | FALLAH A. | SHATAEE JOIBARY SH. | Issue Writer Certificate

Keywords

Parametric and non-parametric algorithmsQ1

Remote SensingQ2

Semi-arid forestsQ1

Vegetation IndicesQ1

Abstract

The present research was carried out with the aim of identification and separation of zizyphus spina christi and Astragalus sp. species as well as providing a distribution map of the mentioned species using UltraCam-D digital images in a part of the mountainous Bushehr province. Different techniques of enhancement were applied including Texture Analysis, Principal Component Analysis (PCA) and ratio of the bands. Five band groups were selected including main bands, band set obtained from image texture analysis, main bands along with indices and the first obtained band from PCA and a collection of the best bands obtained from OIF. The training samples were produced through field method. Then, 70% of the samples were applied for various classifier pixelbased algorithms including, Mahalanobis Distance classification, Maximum Likelihood classification, Neural Net Classification, Support Vector Machine (SVM) and Random Forest classification. Verification of the results was carried out using 30% of actual ground samples. Results of assesment of images classified by various algorithm showed that the maximum overall accuracy (85. 69%) and kappa coefficient (0. 72) in separating the three classes of zizyphus spina christi, Astragalus sp. and soil from the other mixed vegetation cover are for classification by Mahalanobis Distance Classification algorithm applied on group of four main band, PC1, NDVI and SAVI. In general, the results of classification by pixel-based method represent proper efficiency of UltraCam-D digital data for identification and separation of desert regions species particularly zizyphus spina christi from Astragalus sp and shrub species.

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APA: Copy

Rashidi, M.J., FALLAH, A., & SHATAEE JOIBARY, SH.. (2020). Investigating the capabilities of aerial digital images of UltraCam-D Camera to identify Zizyphus spina chrisiti and Astragalus spp. in semi-arid regions (Case study: Poshtkuh, Bushehr province). ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, 9(2 ), 71-84. SID. https://sid.ir/paper/377449/en

Vancouver: Copy

Rashidi M.J., FALLAH A., SHATAEE JOIBARY SH.. Investigating the capabilities of aerial digital images of UltraCam-D Camera to identify Zizyphus spina chrisiti and Astragalus spp. in semi-arid regions (Case study: Poshtkuh, Bushehr province). ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL[Internet]. 2020;9(2 ):71-84. Available from: https://sid.ir/paper/377449/en

IEEE: Copy

M.J. Rashidi, A. FALLAH, and SH. SHATAEE JOIBARY, “Investigating the capabilities of aerial digital images of UltraCam-D Camera to identify Zizyphus spina chrisiti and Astragalus spp. in semi-arid regions (Case study: Poshtkuh, Bushehr province),” ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, vol. 9, no. 2 , pp. 71–84, 2020, [Online]. Available: https://sid.ir/paper/377449/en

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