Method and algorithms of forecasting the seasonal characteristics of anthropogenic impact areas using long-term remote sensing data

A method for predicting the characteristics of areas subject to the anthropogenic impact according to the Earth’s remote sensing data is proposed. The developed method is based on the identification of patterns using long-term periodic observations. These patterns are applied to the seasonal observa...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of computer & systems sciences international Vol. 54; no. 3; pp. 406 - 414
Main Authors:	Ignatiev, V. Yu, Murynin, A. B.
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01.05.2015 Springer Nature B.V
Subjects:	Agricultural production Algorithms Analysis Control Engineering Environmental impact Forecasting Information processing Long term Mechatronics Methods Pattern Recognition and Image Processing Regions Remote sensing Robotics Seasons Studies Russia Yield Forecast Vegetation State Index Current Season Term Observation System Science International
ISSN:	1064-2307, 1555-6530
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!