Next Article in Journal
Assessing Metrics for Estimating Fire Induced Change in the Forest Understorey Structure Using Terrestrial Laser Scanning
Previous Article in Journal
Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region
Previous Article in Special Issue
Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(6), 8154-8179;

Early Identification of Land Degradation Hotspots in Complex Bio-Geographic Regions

IMAA-CNR (Institute of Methodologies for Environmental Analysis-Italian National Research Council), C. da Santa Loja, 85050 Tito Scalo (PZ), Italy
Department of Physics, University of Naples Federico II, Monte Sant' Angelo, 80126 Naples, Italy
Author to whom correspondence should be addressed.
Academic Editors: Arnon Karnieli, Ioannis Gitas and Prasad S. Thenkabail
Received: 27 February 2015 / Revised: 5 June 2015 / Accepted: 11 June 2015 / Published: 19 June 2015
(This article belongs to the Special Issue Remote Sensing of Land Degradation in Drylands)
View Full-Text   |   Download PDF [10121 KB, uploaded 19 June 2015]   |  


The development of low-cost and relatively simple tools to identify emerging land degradation across complex regions is fundamental to plan monitoring and intervention strategies. We propose a procedure that integrates multi-spectral satellite observations and air temperature data to detect areas where the current status of local vegetation and climate shows evident departures from the mean conditions of the investigated region. Our procedure was tested in Basilicata (Italy), which is a typical bio-geographic example of vulnerable Mediterranean landscape. We grouped Landsat TM/ETM+ NDVI and air temperature (T) data by vegetation cover type to estimate the statistical distributions of the departures of NDVI and T from the respective land cover class means. The pixels characterized by contextual left tail NDVI values and right tail T values that persisted in time (2002–2006) were classified as critical to land degradation. According to our results, most of the critical areas (88.6%) corresponded to forests affected by erosion and to riparian buffers that are shaped by fragmentation, as confirmed by aerial and in-situ surveys. Our procedure enables cost-effective screenings of complex areas able to identify raising hotspots that require urgent and deeper investigations. View Full-Text
Keywords: vegetation degradation; local climate; Mediterranean landscape; bio-geographic complexity; Landsat; NDVI vegetation degradation; local climate; Mediterranean landscape; bio-geographic complexity; Landsat; NDVI

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Lanfredi, M.; Coppola, R.; Simoniello, T.; Coluzzi, R.; D'Emilio, M.; Imbrenda, V.; Macchiato, M. Early Identification of Land Degradation Hotspots in Complex Bio-Geographic Regions. Remote Sens. 2015, 7, 8154-8179.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top