IR @ Nirma University
Keeping in tune the global developments we are creating an institutional repository using DSpace Software (Digital Library Software). We are archiving institutional knowledge like, faculty papers, theses, and dissertations in PDF format at DSpace. Students can access this digital information anywhere in the campus.
Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/10498Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sur, Koyel | - |
| dc.date.accessioned | 2022-01-21T05:24:43Z | - |
| dc.date.available | 2022-01-21T05:24:43Z | - |
| dc.date.issued | 2019-09 | - |
| dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/10498 | - |
| dc.description | ST000074 | en_US |
| dc.description.abstract | bstract “Go GREEN there is no planet B” Desertification has often been addressed as land degradation in arid, semi-arid and dry subhumid regions arising from various factors, including climatic variation and human activities. It is a global issue in recent times since about 1.2 billion people are at risk from desertification. The United Nations Convention to Combat Desertification (UNCCD) is aiming currently to achieve Land Degradation Neutrality in order to restore the productivity of degraded lands and improve the socio economic conditions of the people in these lands. One of the key requirements at this juncture is inventory and monitoring desertification and land degradation at region level using satellite data in Geographical Information System (GIS) environment for providing baseline data to be used for prioritizing areas, carrying out desertification vulnerability and risk assessment and preparing action plans for combating desertification and land degradation. Thus the present research intends to understand the changes in desertification status over different time frames at a regional scale using multi sensor satellite images. Data mining techniques has been used to extract useful information from large amounts of data at regional level in regards to desertification/land degradation from different perspectives and organize it in a form for easy scientific understanding. The entire study is carried out over Jaisalmer district, situated in western part of Rajasthan state, India. Jaisalmer district covers the maximum part of world’s most populously inhabited desert, Thar. Belonging to desertic environment, this region is exposed to severe meteorological conditions and typical anthropogenic pressures. Thus this area is very fragile and prone to land degradation. Wind erosion is the most dominant agent of land degradation in this region and constantly driving changes. Migration of fresh dunes is the major problem, in this area because they flow in different directions due to strong influence of constant North West flowing wind. Annual movement of these dunes is around 1.2m/yr in this region. Introduction of IGNP canal across this region has brought about various changes in the recent past. Thus understanding the impact of canal towards land degradation/ restoration was one of the major challenges of this study. The canal command area was monitored over a period of 30 years from 1982-2012 for the first time using remote sensing datasets. The canal has brought about huge positive changes in this area; there is a clear rise in NPP along the main and the branch canals due to availability of water resources in the dry desert. Some places along the canal have witnessed almost 78% of changes. This region is prone to drought but introduction of the canal has brought about control over extreme drought conditions as the canal brings water from the perennial rivers in the north. Further this study tries to understand the nature of the soil in this region using imaging spectroscopy techniques. Soil stands as one of the most critical factors for land degradation studies. In conjunction to these it also focuses on identification of the risk areas using Desertification Vulnerability Model based on Analytical Hierarchical Process to understand the severity levels using twelve natural and three socio-economic parameters in GIS environment. The results show that around Jaisalmer city the land is at high alarming situation. The future scope of this research is to predict the future risk, to decide priority areas for proper conservation and to make an automated model for both present and future desertification risk estimation. | en_US |
| dc.description.sponsorship | Guided by Dr. Prakash Cauhan | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Science, Nirma University | en_US |
| dc.relation.ispartofseries | ;ST000074 | - |
| dc.subject | Science Theses | en_US |
| dc.subject | Theses 2019 | en_US |
| dc.subject | 13EXTPHDS47 | en_US |
| dc.subject | Satellite Data | en_US |
| dc.subject | GIS Techniques | en_US |
| dc.title | Understanding Changes in Desertification Status of Jaisalmer District, Rajasthan: An Investigation based on Multi Sensor Satellite Data & GIS Techniques | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Theses, IS | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ST000074.pdf | ST000074 | 15.76 MB | Adobe PDF |  View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.