Landcover and landuse information provides important inputs to local, regional, and state land use planning. Remote sensing data in Patagonia is actually used to generate accurate and timely information, to produce detailed maps of landcover at local and regional scales, and to drive analytical models that produce increasingly accurate forest statistics. Such detailed and increasingly affordable information (spatial and temporal attributes of forest on different scale, their interactions, and their relationships to socio-economic processes in the landscape) is useful to forest managers, and also to local and state agencies who need forest information to support their policy and mangement decisions.

Remote sensing research on forestry applications began at CIEFAP in 1999. RS&GIS Lab focuses primarily on optical satellite remote sensing techniques and geospatial analysis to map and monitor environmental resources. In addition RS&GIS Laboratory is involved with undergrate and graduate education.

Contact: Dr. José Daniel Lencinas

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