title: Remote sensing of land degradation: experiences from Latin America and the Caribbean.
abstract: Land degradation caused by deforestation, overgrazing, and inappropriate irrigation practices affects about 16% of Latin America and the Caribbean (LAC). This paper addresses issues related to the application of remote sensing technologies for the identification and mapping of land degradation features, with special attention to the LAC region. The contribution of remote sensing to mapping land degradation is analyzed from the compilation of a large set of research papers published between the 1980s and 2009, dealing with water and wind erosion, salinization, and changes of vegetation cover. The analysis undertaken found that Landsat series (MSS, TM, ETM+) are the most commonly used data source (49% of the papers report their use), followed by aerial photographs (39%), and microwave sensing (ERS, JERS-1, Radarsat) (27%). About 43% of the works analyzed use multi-scale, multi-sensor, multi-spectral approaches for mapping degraded areas, with a combination of visual interpretation and advanced image processing techniques. The use of more expensive hyperspectral and/or very high spatial resolution sensors like AVIRIS, Hyperion, SPOT-5, and IKONOS tends to be limited to small surface areas. The key issue of indicators that can directly or indirectly help recognize land degradation features in the visible, infrared, and microwave regions of the electromagnetic spectrum are discussed. Factors considered when selecting indicators for establishing land degradation baselines include, among others, the mapping scale, the spectral characteristics of the sensors, and the time of image acquisition. The validation methods used to assess the accuracy of maps produced with satellite data are discussed as well.
authors.affiliation: United Nations Environment Programme, Regional Office for Latin America and the Caribbean, Clayton, City of Knowledge- Avenida Morse, Edificio 103, Panamá City, Panamá. graciela.metternicht@unep.org
authors.forename: G
authors.initials: G
authors.lastname: Metternicht
authors.forename: J A
authors.initials: JA
authors.lastname: Zinck
authors.forename: P D
authors.initials: PD
authors.lastname: Blanco
authors.forename: H F
authors.initials: HF
authors.lastname: del Valle
mesh_terms: D000383:Agriculture; D017691:Caribbean Region; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D007843:Latin America; D010944:Plants; D015203:Reproducibility of Results; D012965:Sodium Chloride; D012987:Soil / Q000032:analysis*; D018531:Spacecraft; D014867:Water; D014919:Wind
chemical_list: D012987:Soil; D014867:Water; D012965:Sodium Chloride