GIS techniques to assess desertification with IMDPA model in IRAN ( ijabr)

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Assessment of Land Degradation and Desertification with Use of IMDPA Model (Case Study; Chah-hashm Plain, Iran)

Article 4, Volume 2, Issue 10, October 2014, Page 2644-2650  XMLPDF (480 K)
Document Type: Original Article
1 Nasrollah Aslinezhad ; 2 Ahmad Pahlavanravi; 2 Nasrollah Basirani; 3 Mahdiye Ebrahimi; 4 Rasoul Kharazmi graduated of combating desertification, University of Zabol, Zabol, Iran
2Associate Professor, Department of Rang and watershed management, University of Zabol, Zabol, Iran
3Assistant Professor, Department of Rang and watershed management, University of Zabol, Zabol ,Iran graduated of Information System and Technology, Moscow State University of Geodesy and Kartographi, Russian
Objective: More than 75 percent of Iran is located in arid and semi-arid then land degradation and desertification are one of the crises ecological. We require a proper understanding of causes and processes of desertification to control the huge phenomenon on the global and regional situation. Because southeast of Iran located in arid land then assessment of desertification is very importance for planning of project. Methods: In this study, using GIS techniques to assess desertification with IMDPA model in 27.020 Ha of Chah-hashm Plain. Results: Result show vegetation criteria (2.97) is more effective than climate criteria (2.68) and other hand aridity index (3.92) is most effective index and continuing drought (1.6) index is less effective index in this area. Result indicated intensity of desertification is in high class with 2.82 numerical value. In this area some limitations such as lack of rainfall, high temperatures, high evaporation, the instability and sensitivity to soil erosion is a natural limits of the area and cannot be control but with improved irrigation methods, education and extension service for the optimization use of agricultural land can be move to improve the situation and to assist in slowing desertification

Desertification and Coral Reef Mapping Projects in Morocco and Kuwait (Google

Read at : Google Alerts – desertification

The Use of Pleiades and TerraSARX Imagery in Desertification and Coral Reef Mapping Projects in Morocco and Kuwait


The research reported in this poster relates to two doctoral research projects currently being undertaken at the University of South Australia. Project A (Alsharrah, Bouabid and Bruce) is focused on the use of high spatial resolution remote sensing to improve vegetation inputs to models for desertification and utilizes Pleiades, TerraSAR X, Rapideye, ASTER and Landsat imagery over an arid site on the slopes of the Atlas Mountains in Morocco. Project B (Gholoum, Alhazeem, Anderson and Bruce) concentrates on the use of high spatial resolution remote sensing to improve estimates of coral reef density for the Kubar coral reef system in Kuwaiti waters in the Arabian / Persian Gulf. In pr

oject B WorldView 2 (Multi-Spectral (MS)and Panchromatic (Pan)) imagery are being analyzedtogether with Pleiades-1B and Landsat imagery, and compared with quality field data to assess the accuracy of processing methods


Using the AHP method and GIS techniques to assess desertification in Iran (ijabbr)

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GIS-based Monitoring and EWSs of Desertification (Case study; southeastern of Iran)

Today one of the ecological crisis is the phenomenon of desertification that affecting the world.
Desertification is more related to social and anthropogenic issues than natural causes and it becomes more important over the time. Monitoring is the systematic collection and analysis of information as a project progresses.

A more accurate way to monitor and predict weather changes (Science Daily)

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Monitor and Control Severe Drought With Analysis of Data from Chollian

Aug. 31, 2013 — Research team developing a more accurate way to monitor and predict weather changes.

UNIST professor Jung Ho Im received a research grant in “Development of Space Core Technology” from the National Research Foundation of Korea (NRF Korea) last June.

Central Korea has been suffering from flooding while the southern part is complaining about hot and dry weather for the last couple of weeks. Weather patterns are no longer statistically predictable.

To mitigate this problem, professor IM’s research team is developing a more accurate way to monitor and predict future weather changes.


Mapping of desertification severity (Google / IJETAE)

Read at : Google Alerts – desertification

International Journal of Emerging Technology and Advanced Engineering
(ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 6, June 2013) 568

Mapping of desertification severity using expert system approach

Agarwadkar Y., Khire M. V.

CSRE, IIT Bombay, Mumbai, Ind

How remote sensing and GIS have been used to monitor desertification globally (Google / WFL Publisher)

Read at : Google Alerts – desertification

Using remote sensing technology to detect, model and map desertification: A review

Author: Eman K. Albalawi * and Lalit Kumar

Desertification is a serious global environmental problem that affects many people directly in countries with semi-arid or arid climates. The causes of desertification are diverse and complicated, ranging from international economic activities to unsustainable land use practices of local communities. The consequence of desertification reduces the ability of the land to support life and decreases biodiversity.

Natural processes and artificial forces initiate this process. Natural causes of desertification include climatic factors drought, and water or wind erosion. Human induced activities that can cause desertification include over-cultivation, overgrazing, deforestation, and poor water management. The aim of this paper is to analyse how remote sensing and GIS have been used to monitor desertification globally. Remote sensing has proven to be efficient in detecting desertification processes including changes in natural vegetation, land use, and soil.

Multi-temporal coverage provided by satellite data facilitates the use of remote sensing imagery to monitor changes in land coverage and usage over time. Remote sensing data and GIS are critical for extracting reliable information important for assessing environmental changes and land quality in any given region. Various techniques in remote sensing combined with analytical methods such as NDVI or classification provide primary data that can be used to assess desertification processes. Several key indicators of the processes of desertification are identified where remote sensing can be used to detect, monitor, and map affected areas.

Changing vegetation and land use, drought, soil, erosion, and urbanization are the most common indicators of desertification used by researchers. Results of studies can be used to make important management, environmental, and political decisions. Therefore, care, must be taken to use recent imagery, select the appropriate technique, and to include as much additional data as possible so that reliable and robust results are obtained.


One of the main challenges of responding to early warnings is funding (IRIN News)

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Linking early warning to early action in the Sahel

While aid agencies agree that early warning systems offer the chance to mitigate humanitarian crises, difficulty in funding pre-emptive measures and government sensitivities in admitting a looming disaster continue to hamper early action.

“Most [weather-related] disasters or crises can be predicted,” said Sarah Lumsdon, Oxfam’s interim regional humanitarian coordinator for West Africa. “In this day and age, there are enough indicators and data, and enough coverage by governments and NGOs to know when things are looking bad or likely will be bad. And so we should be able to intervene to stop it.”

This is particularly true when it comes to food insecurity in Africa’s Sahel region, where drought and serious food shortages left some 18 million people facing hunger in 2012.

“Food crises can often be predicted 6-9 months in advance,” said Rob Bailey, a senior research fellow at Chatham House and lead author of an April report on the link between early warning and early action.

He said that by monitoring indicators such as grain prices, cereal stocks, crop harvests, weather predictions and household food security data, aid agencies and governments can predict a coming food crisis with a fairly high degree of confidence.

Aid group Action Against Hunger (ACF) says it has had success in using satellites to monitor pasture and to map biomass production and vegetation levels as well as the scope of drought in order to predict which areas might need the most assistance.

“We’ve used this [method] in the last two crises, in 2010 and 2012, and it’s proved to be a good indicator of food production across the region,” said Alvaro Pascual, ACF’s Sahel desk officer.

Funding challenge

However, one of the main challenges of responding to early warnings is funding.