Forecast landslide activity in the zones of technogenic geochemical anomalies of urban areas based on remote sensing data

摘要: The analysis and forecast of landslide activity on the territories cities is an actual task. Remote sensing methods are successfully used to solve a whole range tasks: from classification modeling. possibilities interpreting data expanding. processing involves standard statistical research, theories fuzzy sets, pattern recognition, others. This paper describes experience involving method grouping arguments into prediction model. Firstly, irregular time series values reflection coefficient areas active development process investigated. According results prognosis, it proved that in nearest future changes solar (11 - year cycle) will not lead activation process. Secondly, under influence man-made factors was fulfilled. connection between content readily soluble salts pores forest soils aeration zone and. model extends using group consideration for mapping zones sections geochemical anomalies. shows is. In possible determine certain salt coefficients, which be indicators probability activating other conditions.