Characterization and Estimation of Dates Palm Trees in an Urban Area Using GIS-Based Least-Squares Model and Minimum Noise Fraction Images

• Autorzy: Shareef Muntadher Aidi , Hasan Sumaya Falih

Identyfikatory

DOI

10.12911/22998993/123252

• Języki publikacji: EN

Abstrakty

EN

Date palm is the major food source and possesses an important role in the economic aspects, environmental parts, and society. These crops were subjected to degradation due to the financial and numerous military conflicts. Because of the expensive cost of monitoring and managing date palm in field measurements, and limited studies using satellite images, the authors proposed a method to estimate and map date palm using the Landsat-8 satellite images. The authors applied the least-squares multiple regression and GIS techniques to find suitable predictors from the set of variables such as original bands of Landsat-8, Minimum Noise Fraction (MNF) transformation, tasseled cap component transformation, and spectral index. In order to validate the proposed method, the field measurement data were utilized to assess the estimated date palm from the Landsat-8 images. A linear combination of MNF Landsat-8 band 4 (red, 0.636–0.673 µm), Normalized Difference Moisture Index (NDMI) and Enhanced Vegetation Index (EVI) were the best date palm predictor (R2adj= 0.988, root-mean-squared error (RMSE) = 0.013). The results demonstrate that the MNF Landsat-8 images in the least square regression help improve the date palm estimation and mapping for the practical use in the study area with high accuracy.

Słowa kluczowe

EN

date palm; Landsat 8; minimum noise fraction; least-square model; GIS

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2020
• Tom: Vol. 21, nr 6
• Strony: 78--85
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Shareef Muntadher Aidi

• Department of Surveying Engineering Techniques, Technical College of Kirkuk, Northern Technical University, Baghdad Road, 36001 Kirkuk, Iraq

autor

Hasan Sumaya Falih

• Department of Surveying Engineering Techniques, Technical College of Kirkuk, Northern Technical University, Baghdad Road, 36001 Kirkuk, Iraq

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