Change vegetation cover using some plant indicators and indicators to monitor desertification

(Karma / Anbar province - applied study)

Authors

  • Taha Ahmed Abed Abtaan Al-Fahdawi Anbar University / College of Arts / Department of Geography

DOI:

https://doi.org/10.31973/aj.v0i128.393

Keywords:

Plant, desertification, Anbar

Abstract

The problem of desertification is one of the most important contemporary environmental problems. The continued depletion of vegetation cover intensifies the degradation and productivity of agricultural land due to neglect, salinization, misuse and management, and thus the emergence of desertification and drought.

The study area (Karma district) located west of the capital Baghdad, one of the important agricultural sites in the country, the study included changing vegetation cover using vegetation evidence by relying on the analysis of three visuals of the winter season of the satellite Landsat on different dates, (ETM +) on 06/11/2010, and two satellites for the satellite Landsat 8 with the sensor (OLI) on (21/10/2013) and (22/11/2017).

The study examined the relationship between seven plant evidence: Normalized Difference Vegetation Index (NDVI), Vegetation Index   Difference (DVI), Ratio Simple Index (SRI) , Ratio Vegetation Index (RVI) , Moisture Stress Index (MSI) , Soil Adjusted and Vegetation Index (SAVI) and Difference Renormalized Vegetation Index (RDVI) , by calculating the spectral reflectivity values ​​at different wavelengths, the best results were found by applying the NDVI, SAVI and RDVI indices in the study of vegetation density and soil degradation status, As it represented a positive relationship at the wavelength of nearby infrared radiation

 

 

 

Downloads

Download data is not yet available.

Author Biography

  • Taha Ahmed Abed Abtaan Al-Fahdawi, Anbar University / College of Arts / Department of Geography

    Assist. Prof. Dr.

References

بركات، منى واخرون، تقدير عامل الغطاء النباتي (C) باستخدام مؤشر الاختلاف النباتي القياسي (NDVI) لمنطقة الحوض الأوسط والأدنى لنهر الكبير الشمالي في محافظة اللاذقية/سورية , مجلة جامعة تشرين للبحوث والدارسات العلمية _ سلسلة العلوم البيولوجية , المجلد 63 , العدد 5 , 2014.

http://mohe.gov.sy/master/Message/Mc/feras%20alghamaz.pdf

شلال , جاسم خلف واخرون , استخدام دليل الاختلافات الخضرية الطبيعي (NDVI) في تحديد وتقييم حالة التدهور للغطاء النباتي في منطقة جبل سنجار / محافظة نينوى ,المجلة العراقية لعلوم الأرض , المجلد 7 ,العدد 2 , 2007 .

https://www.iasj.net/iasj?func=fulltext&aId=39243

علي حسين الشلش ، مناخ العراق ، ترجمة ماجد السيد ولي و عبد الاله رزوقي كربل ، مطبعة جامعة البصرة ، 1988 ، ص17 .

المنظمة العربية للتنمية الزراعية، 2000. استخدام التحسس النائي في إدارة الموارد الطبيعيـة . جامعـة الدول العربية، الخرطوم. ص 3 – 182.

وزارة الموارد المائية ، مديرية المساحة العامة ، خريطة العراق الادارية ، لسنة 2000 ، مقياس (1: 1000000)

وزارة الموارد المائية ، مديرية المساحة العامة ، خريطة الانبار الادارية ، لسنة 2007 ، مقياس (1: 500000)

وزارة الموارد المائية ، مديرية المساحة العامة ، فهرس مقاطعات الانبار، لسنة 1999 ، مقياس (1: 500000)

المرئية الفضائية نوع +ETM دقة تميز 30 متر، المكوك الفضائي (7 Landsat) وكالة ناسا، بتاريخ (06/11/2010).

المرئية الفضائية نوع OLI دقة تميز 30 متر، المكوك الفضائي (8 Landsat) وكالة ناسا، بتاريخ (21/10/2013).

المرئية الفضائية نوع OLI دقة تميز 30 متر، المكوك الفضائي (8 Landsat) وكالة ناسا، بتاريخ (22/11/2017).

ERDAS IMAGINE 2014, software, help of program .

Huete, A.R., A Soil Adjusted Vegetation Index (SAVI). Remote Sensing of Environment. Vol. 25, No. 3, 1988.

Jensen ,JR., Remote Sensing of the Environment, An Earth Resource Perspective. Upper Saddle River. Brent's Hall. 2000 .

Jinru X. and Baofeng S., Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications , Journal of Sensors , Series Vol. 17, 2017.( www.hindawi.com/journals/tswj/2017/)

Karaburun, A., Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed, Ozean Journal of Applied Sciences, Vol. 3, No. 1, 2010.

Lillesand, T.M. and Kiefer, R.W., Remote Sensing and Image Interpretation. 2nded. John Wiley and Sons Co. New York. 1987.

Montandon, L.M. Small, E.E., The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI Remote Sensing of Environment, Series Vol. 112 ,2008.

Sellers P. J., Vegetation- canopy spectral reflectance and biophysical processes. In Theory and Applications of Optical Remote Sensing. Edited by G. Asrar, Wiley, New York,1989.

Susan, B. And others , Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas, The Egyptian Journal of Remote Sensing and Space Science , Vol. 14, No. 1, 2011.

Syeda R. And others, Normalized Difference Vegetation Index as a Tool for Wheat Yield Estimation: A Case Study from Faisalabad, Pakistan, The Scientific World Journal, Vol.8, 2014. (www.hindawi.com/journals/tswj/2014/).

Tucker, C.J. , A spectral method for determining the percentage of green herbage material in clipped sample , Remote Sensing of Environment, Vol. 9 ,1980.

Published

2019-03-15

Issue

Section

Geography

How to Cite

Al-Fahdawi, T. A. A. A. (2019). Change vegetation cover using some plant indicators and indicators to monitor desertification: (Karma / Anbar province - applied study). Al-Adab Journal, 128, 145-170. https://doi.org/10.31973/aj.v0i128.393

Publication Dates

Similar Articles

11-20 of 109

You may also start an advanced similarity search for this article.