Using satellite image-based maps and ground inventory data to estimate the area of the remaining Atlantic forest in the Brazilian state of Santa Catarina

Remote Sensing of Environment

Volumn 130, Issue , 2013, Pages 87-95

  Vibrans, Alexander C ^a   McRoberts, Ronald E ^b   Moser, Paolo ^a   Nicoletti, Adilson L ^a  

^a REGIONAL UNIVERSITY OF BLUMENAU   (Brazil)

^b USDA FOREST SERVICE   (United States)

Author keywords

Accuracy assessment; Confidence interval; IPCC good practice guidance; Model assisted regression estimator; Santa Catarina Forest and Floristic Inventory

Indexed keywords

ACCURACY ASSESSMENT; CONFIDENCE INTERVAL; GOOD PRACTICES; REGRESSION ESTIMATORS; SANTA CATARINA FOREST AND FLORISTIC INVENTORY;

FINANCIAL DATA PROCESSING; FORESTRY; IMAGE PROCESSING; REGRESSION ANALYSIS; REMOTE SENSING; UNCERTAINTY ANALYSIS;

ESTIMATION;

ACCURACY ASSESSMENT; DATA ACQUISITION; FLORISTICS; FOREST COVER; GROUND-BASED MEASUREMENT; IMAGE PROCESSING; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE; LOGISTICS; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY;

ACCURACY; BRAZIL; DATA PROCESSING; ESTIMATES; FINANCE; IMAGE ANALYSIS; INVENTORY CONTROL; MATHEMATICAL MODELS; REGRESSION ANALYSIS; REMOTE SENSING;

ATLANTIC FOREST; BRAZIL; SANTA CATARINA;

EID: 84870786621     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.10.023     Document Type: Article

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