Erosion index derived from terrain attributes using logistic regression and neural networks

Agronomy Journal

Volumn 101, Issue 5, 2009, Pages 1068-1079

  Pike, A C ^a   Mueller, T G ^b   Schorgendorfer A ^c   Shearer, S A ^d   Karathanasis, A D ^b  

^a Photo Science   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

^c UNIVERSITY OF KENTUCKY   (United States)

^d UNIVERSITY OF KENTUCKY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL FIELDS; CHANNEL EROSION; CONSERVATION PLANNING; DATA SETS; DIGITAL ELEVATION MODEL; EROSION INDEX; EROSION PREDICTIONS; ERROR RATE; FIELD ASSESSMENT; GRASSED WATERWAYS; GRID CELLS; KENTUCKY; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; NEURAL NETWORK ANALYSIS; PREDICTOR VARIABLES; QUALITY OF PREDICTIONS; SITE ASSESSMENT; SOIL EROSION; TERRAIN ANALYSIS; TERRAIN ATTRIBUTES; VALIDATION ANALYSIS; WATER FLOWS;

CONSERVATION; ELECTRIC NETWORK ANALYSIS; FORESTRY; GEOLOGIC MODELS; GEOMORPHOLOGY; LOGISTICS; NEURAL NETWORKS; REGRESSION ANALYSIS; SURVEYS;

EROSION;

EID: 70349437264     PISSN: 00021962     EISSN: None     Source Type: Journal    
DOI: 10.2134/agronj2008.0207x     Document Type: Article

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