LANDDAPP

A Land Degradation and Desertification Appraisal System for South Africa

Coordinatore	THE MANCHESTER METROPOLITAN UNIVERSITY    more  Organization address address: All Saints Building Oxford Road city: MANCHESTER postcode: M15 6BH contact info Titolo: Dr. Nome: Margaret Cognome: Eastcott Email: send email Telefono: 441612000000
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-CIG
Funding Scheme	MC-CIG
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-05-01   -   2018-02-19

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE MANCHESTER METROPOLITAN UNIVERSITY  Organization address address: All Saints Building Oxford Road city: MANCHESTER postcode: M15 6BH contact info Titolo: Dr. Nome: Margaret Cognome: Eastcott Email: send email Telefono: 441612000000	UK (MANCHESTER)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'Today, more than 50% of the Earth’s surface is covered by areas prone to land degradation and desertification (LDD). It is widely recognized that an understanding of LDD is central to the debate of global environmental change and sustainability. However, for all its importance to scientists and policy-makers confronting the complexities of environmental change, LDD is still poorly understood.

One of the most seriously affected regions in the world is South Africa (SA) with ~440,000km2 vulnerable to some extent. Through desertification, soil in SA has lost 25% or more of its fertility and the process is ongoing; moreover, large scale erosion and desertification have led to food insecurity in several areas.

Quantifying the processes of LDD is still very much a formidable, if not an impossible, task due to its complex nature and the use of desertification indices has become a common practice as a way around this hurdle. Remote sensing data adhere to the principles of repetitiveness, objectivity and consistency, which are prerequisites in the frame of monitoring and surveillance. However, no indicator of LDD is directly inferable from satellite-based data. Suitable indirect indicators need to be chosen, which can be related to LDD processes that operate in the specific area and scale of study. Moreover, studies of LDD must simultaneously consider both human- and environmental-based variables.

In this context, this research will seek to assess LDD in the pilot-study area of North West Province of South Africa over the last twelve years. An operational, nested indicator appraisal system, LanDDApp, will be developed comprising of quantitative and qualitative LDD indices estimated using satellite imagery, field measurements, socio-economic data and geocomputation techniques. LanDDApp shall be used for identifying degradation ‘hot-spots’ where mitigation measures are required and thus provide a management tool for the prioritisation of such measures.'