Appropriate indicators of land-cover modifications

Photo credit: Pixabay

Monitoring land-cover changes in semi-arid regions: remote sensing data and field observations in the Ferlo, Senegal

by A. Diouf and E.F. Lambin


Dryland degradation rarely translates into linear, declining trends in vegetation cover due to interannual climatic variability. Appropriate indicators of land-cover modifications need to be defined for semi-arid regions.

Our hypothesis is that degradation can be measured by:

  • (1) a decrease in the resilience of vegetation to droughts;
  • (2) a decrease in rain-use efficiency; and
  • (3) a modification of floristic composition.

The objective of this paper is to test the relationships between a remotely sensed indicator of vegetation, rainfall data and field measurements of biomass and floristic composition.

The study was based on field measurements of vegetation conditions covering a period of 10 years, in the semi-arid region of the Ferlo in Senegal.

Our results indicate that land-cover modifications in the Ferlo are best measured by changes in rain-use efficiency. No consistent trend in the relative abundance of grass species was visible at the scale of the decade, even on the two sites affected by degradation. Just after a drought, a given increase in rainfall results in less biomass production than is the case for normal years.

Read the full article: Science Direct

Alarming increase in the spread of sand dunes in India (Google / Directions Magazine India)

Read at : Google Alerts – desertification

Andhra Pradesh State Remote Sensing Applications Centre study reveals desertification and land degradation

Andhra Pradesh State Remote Sensing Applications Centre has revealed an alarming increase in the spread of sand dunes, as 0.32 sq. km of land is being covered by sand dunes every year since the last 10 years.
The study revealed different signs of desertification and land degradation in the study area as judged by change in patterns of land use and land cover types. These changes indicated an increase of degrading land, vegetation cover, sandy soil and sandy clay in the study area. Desertification is one of the main problems threatening the agricultural production The study aimed at monitoring and assessing desertification in area, in addition to investigating the potential use of remote sensing and GIS) in assessing and monitoring sand encroachment and vegetation degradation as desertification indicators in the semi-arid environment.

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

Read at :

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)

Read at :

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)

Read at :

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