ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 88-99

Cloud data automatic filtering algorithm for object remote monitoring

А.М. Konstantinova 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 25.08.2022
DOI: 10.21046/2070-7401-2022-19-4-88-99
The paper describes an approach to automatic filtering of cloud data to be used by the object monitoring technology developed at the Space Research Institute (IKI). The technology was created to monitor and control the dynamics of various natural and anthropogenic objects (homogeneous formations). It provides automatic creation and analysis of long-term series of various characteristics of observed objects obtained from satellite data. One of the problems in the creation of such series is the organization of automatic filtering of incorrect data, which is associated, first of all, with the presence of clouds covering the object in the satellite images. The organization of such filtering can be difficult in cases when it is not possible to provide a reliable automatic selection of clouds. The paper presents an algorithm that allows automatic filtering in such a situation. It is based on an integral analysis of cloudiness and the search of percentage thresholds of cloudiness coverage in the area of the observed object instead of cloudiness analysis of individual pixels. The values of object characteristics calculated from data with cloudiness coverage percentage higher than the defined threshold would almost certainly be false. The paper provides an analysis and presents the possibility of optimal thresholds definition which allow to filter out a maximum number of false data along with loosing a minimum number of cloudless data. The paper also gives examples of using the proposed filtering algorithm to derive series of characteristics of objects located in regions with different observation conditions. Also, the results of the proposed filtering method are compared with the results of other filtering methods, in particular, noise filtering in a series of object characteristics.
Keywords: remote sensing, natural objects, technology, object monitoring, cloud filtering, noise filtering, IKI-Monitoring Center for Collective Use
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