title: Assessing and monitoring the risk of land degradation in Baragan Plain, Romania, using spectral mixture analysis and Landsat imagery.
abstract: The fall of the communist regime in Romania at the end of 1989 and the ensuing transition to the market economy brought about many changes in the use of agricultural land. These changes combined with the action of climatic factors led, in most cases, to negative effects increasing the risk of degradation of agricultural land. This study aims to assess and monitor the risk of land degradation in Baragan Plain, Romania, for the period 1988-2011 using Landsat Thematic Mapper (TM) and Spectral Mixture Analysis (SMA). Each satellite image was classified through the Decision Tree Classifier (DTC) method; then, on the basis of certain threshold values, we obtained maps of land degradation and maps showing the passage from various classes of land use/land cover (LULC) to land degradation. The results indicate that during the intermediary periods there was an ascending and descending trend in the risk of land degradation determined by the interaction of climatic factors with the social-economic ones. For the entire period, the overall trend was ascending, the risk of land degradation increasing by around 4.60 % of the studied surface. Out of the climatic factors, high temperatures and, implicitly, drought were the most significant. The social-economic factors are the result of the changes which occurred after the fall of the communist regime, the most important being the fragmentation of agricultural land and the destruction of the irrigation system.
authors.affiliation: Forest Management and Engineering Department, Transilvania University of Brasov, Faculty of Silviculture, Beethoven street nr. 1, 500123, Brasov, Romania. iosif.vorovencii@unitbv.ro.
authors.forename: Iosif
authors.initials: I
authors.lastname: Vorovencii
mesh_terms: D000383:Agriculture / Q000379:methods*; D003247:Conservation of Natural Resources / Q000379:methods*; D003663:Decision Trees; D004784:Environmental Monitoring / Q000379:methods*; D006801:Humans; D000067936:Natural Resources; D018570:Risk Assessment; D012383:Romania; D063809:Satellite Imagery
keywords: Fraction images; Land degradation; Landsat imagery; Monitoring; Spectral mixture analysis