Evaluation of land degradation for resource management

Description

[Synopsis]

Neural network modelling was applied to evaluate land degradation hazard of a marginal agricultural system using a resource map database. Degradation degree and extent as supervisors, elevation, slope, direction, soil and vegetation as explanatory factors, were selected for the neural network modelling. Precisions of the modelling for the evaluation of the degree and extent of degradation were 86% and 79%, respectively. The evaluation of the degradation hazard was found valid in the northern foothills and plain during the field verification, where hazardously evaluated areas corresponded to sites with frequent gully erosion.

Affiliation

Japan International Research Center for Agricultural Sciences Animal Production and Grassland Division

International Center for Agricultural Research In the Dry Areas

Classification

Administration

Country

Syria

Term of research

FY1995(FY1988-FY1995)

Responsible researcher

YAMAMOTO Yukiyo ( Animal Production and Grassland Division )

FUJITA Haruhiro ( Animal Production and Grassland Division )

GINTZBURGER Gustav ( International Center for Agricultural Research In the Dry Areas )

ほか
Publication, etc.

Japanese PDF

1995_14_A3_ja.pdf1002.39 KB