دورية أكاديمية

Predictive Digital Mapping of Surface Soil Properties using Remote Sensing and Multivariate Statistical Analysis.

التفاصيل البيبلوغرافية
العنوان: Predictive Digital Mapping of Surface Soil Properties using Remote Sensing and Multivariate Statistical Analysis.
المؤلفون: Kwestan O. Abdalkarim ,Heman Abdulkhaleq A. Gaznayee ,Ayad M. F. Al-Quraishi ,Zhino O. Abdalla
المصدر: Zanco Journal of Pure and Applied Sciences (2023)
بيانات النشر: Salahaddin University-Erbil, 2023.
سنة النشر: 2023
المجموعة: LCC:Technology
LCC:Science
مصطلحات موضوعية: landsat 8-oli, sulaimaniyah, soil map, spectral response, surface soil properties., Technology, Science
الوصف: Accurate prediction of surface soil properties is crucial for agricultural and environmental purposes. This study aimed to utilize geoinformatics approaches and Landsat OLI-8 data to predict specific physicochemical properties of the surface soil in Sulaimaniyah, Kurdistan Region of Iraq (KRI). It also examined the statistical relationships between these properties and spectral reflectance, vegetation cover, soil/vegetation moisture contents, and elevation. The study made use of the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI), as well as seven bands of the OLI image for the statistical analysis. The results demonstrated a statistical connection between organic matter (O.M.) and vegetation cover based on NDVI. It was observed that the northern parts of Sulaimaniyah exhibited dense vegetation, albeit covering a small area. Generally, mountainous regions had a higher proportion of canopy cover compared to other parts of the arid zone, with moisture availability being the most influential factor on vegetation. Moreover, the majority of the research area showed the highest CaCO3 content and a significant negative relationship was found between vegetation (NDVI) and soil moisture (NDMI) with organic matter (O.M.) and clay. Using geoinformatics datasets and techniques proved valuable in identifying, mapping, and investigating specific surface physicochemical properties in the study area
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2218-0230
2412-3986
Relation: https://zancojournal.su.edu.krd/index.php/JPAS/article/view/1055; https://doaj.org/toc/2218-0230; https://doaj.org/toc/2412-3986
DOI: 10.21271/ZJPAS.35.6.19
URL الوصول: https://doaj.org/article/77cf2a801a5443128a2118ddf19036ca
رقم الأكسشن: edsdoj.77cf2a801a5443128a2118ddf19036ca
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22180230
24123986
DOI:10.21271/ZJPAS.35.6.19