عنوان

Using Long Time Series of Satellite Remote Sensing Data to Assess the Impact of Climate and Anthropogenic Changes in the Mesopotamian Marshes, Iraq

شماره

TLpq2362230532

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Using Long Time Series of Satellite Remote Sensing Data to Assess the Impact of Climate and Anthropogenic Changes in the Mesopotamian Marshes, Iraq

نام عام مواد

[Thesis]

نام نخستين پديدآور

Albarakat, Reyadh

نام ساير پديدآوران

Lakshmi, Venkat

نام ناشر، پخش کننده و غيره

University of South Carolina

تاریخ نشرو بخش و غیره

2019

نام خاص و کميت اثر

158

جزئيات پايان نامه و نوع درجه آن

Ph.D.

کسي که مدرک را اعطا کرده

University of South Carolina

امتياز متن

2019

متن يادداشت

In the recent past, the Mesopotamia region has been rich in all forms of biological diversity, characterized by a fertile living environment and natural habitats full of rare birds, wild animals, aquatic animals, and diverse plants. Its natural abundance and geographical location have allowed it to be a break or transit point for millions of migratory birds from Russia to South Africa. It is a breeding ground for many species of Persian Gulf fish. Despite all this historical, environmental and economic richness, they have been neglected as a result of the combination of a number of human and climatic factors, which in 16 years (1988-2003) has modified them to a land where vegetation, water, and biodiversity have been clearly reduced. This is a great environmental loss, not only for West Asia but for the whole world. This dissertation explores the changes in the vegetation coverage and water bodies in the Mesopotamian marshes, Iraq over more than three decades (36 years) using different sources of satellite remote sensing datasets. Firstly, I utilized Normalized Difference Vegetation Index (NDVI) from the Land Long Term Data Record (LTDR) Version 5 which has a 0.05° × 0.05° in spatial resolution and daily temporal repeat to monitor the fluctuations of vegetation together with hydrological variables such precipitation, surface temperature, and evapotranspiration. In this research, I studied the impact of climate change and anthropogenic activities on vegetation and water coverage changes. Secondly, I compared Normalized Difference Vegetation Index from various satellite sensors-Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Very High-Resolution Radiometer (AVHRR), and Landsat over the Mesopotamian marshlands for 17 years. I selected this time series (2002-2018) to monitor the changes in vegetation area. The time series (2002-2018) is considered as a period of rehabilitation for the Mesopotamian marshes. Thirdly, as a result of human factors and local and regional climate changes, the marshes and Iraq are in general vulnerable to face a large number of dust storms annually. According to local sources (Iraq news) and National Aeronautics and Space Administration, the time period from June 29 to July 8, 2009, is considered the longest dust storm period in Iraq during the last decade. In this research, I utilized the Moderate Resolution Imagining Spectroradiometer (MODIS), surface reflectance daily data to calculate the Normalized Difference Dust Index (NDDI). Additionally, brightness temperature data from Aqua thermal band 31 were used to separate sand on the ground from atmospheric dust. The main reasons for the degradation of the Mesopotamian marshes were due to anthropogenic activities. In the comparison research, I found that the NDVI derived from MODIS, AVHRR and Landsat sensors are correlated with high precision. This paper investigates the utility of combining low spatial resolution with frequent temporal repeat and long-term coverage and a high spatial resolution with infrequent temporal repeat and similar long-term coverage. This study also proves that I can use the low-resolution Advance Very High-resolution Radiometer data for studies on land cover change.

موضوع مستند نشده

Environmental geology

موضوع مستند نشده

Middle Eastern studies

موضوع مستند نشده

Remote sensing

مستند نام اشخاص تاييد نشده

Albarakat, Reyadh

مستند نام اشخاص تاييد نشده

Lakshmi, Venkat

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y