Optimal spatial resolution for collection of ground data and multi-sensor image mapping of a soil erosion cover factor

Journal of Environmental Management

Volumn 88, Issue 4, 2008, Pages 1088-1098

  Wang, Guangxing ^a   Gertner, George ^a   Howard, Heidi ^b   Anderson, Alan ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b U S ARMY ENGINEER RESEARCH AND DEVELOPMENT CENTER   (United States)

Author keywords

Cost efficiency; Mapping; Optimal spatial resolution; Remote sensing; Sampling; Soil erosion; Spatial variability

Indexed keywords

COST EFFECTIVENESS; DATA ACQUISITION; EFFICIENCY; EROSION; IMAGE RESOLUTION; MAPPING; SOILS;

COST-EFFICIENCY; COVER FACTORS; GROUND DATA; HIGH-RESOLUTION IMAGES; MULTI SENSOR IMAGES; OPTIMAL SPATIAL RESOLUTION; REMOTE-SENSING; SOIL EROSION; SPATIAL RESOLUTION; SPATIAL VARIABILITY;

REMOTE SENSING;

ACCURACY ASSESSMENT; GROUND-BASED MEASUREMENT; IMAGE ANALYSIS; MAPPING METHOD; OPTIMIZATION; PIXEL; REMOTE SENSING; SENSOR; SOIL EROSION; SPATIAL RESOLUTION; VEGETATION COVER;

ACCURACY; ANALYTICAL ERROR; ARTICLE; COST EFFECTIVENESS ANALYSIS; DATA ANALYSIS; DATA COLLECTION METHOD; DYNAMICS; ENVIRONMENTAL MONITORING; IMAGE DISPLAY; IMAGE QUALITY; SAMPLE SIZE; SAMPLING; SENSOR; SIMULATION; SOIL ANALYSIS; SOIL EROSION; VALIDATION PROCESS;

EID: 47249135089     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2007.05.014     Document Type: Article

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