Using NDVI Algebra to Identify Changes in Had’anya Depression/South Iraq

Abstract
Writer
Full Research

Abstract

Change detection is one of the most widely used processing techniques in remote sensing. It is a process of identifying differences in the state of a geographic feature or phenomenon by monitoring at different times.

Had ‘daniyah depression is one of the most remarkable depressions in southern deserts it lies about 20 Km from Salman city with coordinates (30° 31` – 44° 39`), (30° 31` – 44° 43` ), (30° 24` – 44° 42` ), (30° 25` – 44° 37`). With an area approximately 103 Km².

Landsat images of MSS, TM, and ETM for the years 1972.1990. And 2002 respectively were used to monitoring the changes in vegetations, and by applying the NDVI equation we conclude an increasing of vegetation in 1972 with an area 16 Km², and 1990 the area was 2 Km² and in 2002 the vegetation area was 0.7 Km² (700m²)for the search area and that due to many reason.

Writer

ZEYAD JAMEEL AL-SAEDI

- Summery of Qualifications 1- B.Sc.in Science /University of Baghdad-Collage of Science-Depts. of Geology- 1999.

2- M.Sc. Specialist in Geomorphology & Remote Sensing -2009.

- Summery of Courses 1- Negotiation – 2005 2- Excel -2006 3- Primary Arc GIS-2010

4- Training of trainer (T.O.T)-2010 5- Capacity Building on Remote Sensing and Geographic Information System For Iraq/held in Turkey-2011

- Professional Experiences 1- Start work in State Company of water well drilling in (2001). Recently the name of this company is (General commission of groundwater). 2- Recently work in National Center of water management since 15/3/2010. 3- I have a research published in Iraqi Journal of science. Titled "Using Arc GIS to determine some landforms in Salman depression-South Iraq". 4- Research published in Iraqi Geographical Magazine. Titled "Using NDVI algebra to identify changes in Ha'danya depression/South IRAQ". 5- Research published in Iraqi Geographical Magazine. Titled" Remote Sensing and GIS Application in Land Cover Detection Study/ BAGHDA City Using Multi-Temporal Satellite Data". 6- Participate in First International Conference of Remote Sensing and Image Processing in research tilted " CHANGE DETECTION IN HOUR-IBN NAJAM / MIDDLE OF IRAQ BY USING WATER INDEX (W.I) ALGBRA" 7- Lecturer for Remote Sensing Subject. 8 - Good user to Microsoft office (Word, Power point, and Excel) as well as the Internet.

9 -Experiences in Satellite Images & Remote Sensing.

- Languages 1- Arabic (Native language)

2- English

Determine the morphostructure phenomenon, East Khor Al-Zubair by Space Imageries

Detection and monitoring crop of wheat and barley by using NDVI stacking technique and spectral angle mapper algorithm

Tunisian economy in the face of the Covid-19 pandemic: State of play, analysis and outlook

Reducing Total Freshwater Use in the Gold Processing Industry Using Linear Programming

Control of a Hybrid Wind-PV and Energy Storage System

Modeling Ripeness Grading of Palm Oil Fresh Fruit Bunches through Image Processing using Artificial Neural Network

DETECTIONS OF BUILDINGSDIGITAL SURFACE MODELS DEFORMATIONS GENERATED FROM DRONES NADIR IMAGES

Comparative responses to cadmium toxicity of Arabidopsis thaliana mutant seedling (cad2) and wild type (col0)

Precision Technologies Role in the Study of Climate Change Impact

5th International Conference on Water, Energy, Food and Agricultural Technology Istanbul, Turkey, 22-25 January 2019

Drone base multiscale Digital Surface Models to planar areas.

Monitoring of Mosul Reservoir Using Remote Sensing TechniquesFor the Period After ISIS Attack in 9 June 2014

Using NDVI Algebra to Identify Changes in Had’anya Depression/South Iraq

Abstract

Writer

ZEYAD JAMEEL AL-SAEDI

Full Research

Newsletter

0 comments »

Be the first to comment!

Leave a Reply Cancel reply

Categories

Newsletter

Archives