1998
DOI: 10.1080/15324989809381502
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Status of desertification in the Patagonian region: Assessment and mapping from satellite imagery

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Cited by 102 publications
(104 citation statements)
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“…1) is an ideal site from which to develop a long-term record of atmospheric dust concentration. It is situated relatively near major dust-producing regions of southern South America, which have experienced significant desertification during the 20th century (31,32), and also is surrounded by ocean water and thus is distant from any significant local sources of dust.…”
Section: Resultsmentioning
confidence: 99%
“…1) is an ideal site from which to develop a long-term record of atmospheric dust concentration. It is situated relatively near major dust-producing regions of southern South America, which have experienced significant desertification during the 20th century (31,32), and also is surrounded by ocean water and thus is distant from any significant local sources of dust.…”
Section: Resultsmentioning
confidence: 99%
“…From Figure 1. Characterization of the study area: (A) location of Argentina (dark grey) and Santa Cruz province (black); (B) Desertification (black = none, very dark grey = slight degraded, dark grey = moderate desertification, grey = moderate to severe desertification, light grey = severe desertification, very light grey = very severe desertification [21]; (C) sample sites (black dots) and main water bodies in the zone of the Parcelas de Ecología y Biodiversidad de Ambientes Naturales en Patagonia Austral (PEBANPA) plots; (D) main ecological areas (light grey = dry steppe, grey = humid steppe, medium grey = shrub-lands, dark grey = sub-Andean grasslands, black = forests and alpine vegetation) [22].…”
Section: Soil Organic Carbonmentioning
confidence: 99%
“…The methods used to generate the GIS-derived independent variables were also described in Peri et al [3]. (4) (1) Hijmans et al [23]; (2) Consortium for Spatial Information (CSI) [24]; (3) Farr et al [25]; (4) SIT-Santa Cruz (http://www.sitsantacruz.gob.ar); (5) ORNL DAAC [26]; (6) Zhao et al [27]; (7) Del Valle et al [21].…”
Section: Gis-derived Independent Variablesmentioning
confidence: 99%
“…Dynamic information extraction and monitoring by remote sensing were used as early as three decades aboard. After 20 centuries 90's, there is a great progress in evaluate and monitor land degradation by remote sensing technology(Some book W. g. & sims D,1995;Valle H. F. De. et al,1998;Seixas J.,2002;Tripathy G. K, et al,1996;David Mount, et al,1997;Lambin E. F. & Strahler A. H.,1994;William G. Kepner, et al,2000).…”
Section: Application Of 3s Technologymentioning
confidence: 99%