GIS capabilities in monitoring of forest logging and assessment of burned areas based on Earth remote sensing data

Gulzhiyan Kabdulova; Tomiris Meirmanova; Aidyn Aimbetov; Gulnara Kabzhanova; Kazbek Baktybekov

doi:10.1117/12.2570965

26 August 2020 GIS capabilities in monitoring of forest logging and assessment of burned areas based on Earth remote sensing data

Gulzhiyan Kabdulova, Tomiris Meirmanova, Aidyn Aimbetov, Gulnara Kabzhanova, Kazbek Baktybekov

Author Affiliations +

Proceedings Volume 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020); 115240R (2020) https://doi.org/10.1117/12.2570965
Event: Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 2020, Paphos, Cyprus

Abstract

Humanity is associated with the environment throughout all stages of mankind evolution. Ongoing processes occurring with forest resources are being investigated on the territory of Kazakhstan. In order to quickly obtain information on the state of forests, it is necessary to organize a multi-level monitoring system based on integration of ground-based data and remote observations using innovative capabilities of geographic information technologies. This article discusses issues related to the semi-automatic thematic processing of forest resources of the Republic of Kazakhstan based on GIS using Earth remote sensing data. In order to increase productivity the model has been created in the specialized ArcGIS software. Using the satellite remote sensing data set, the model enables semi-automatic processing for detection of forest areas that have undergone changes, in particular, forest logging, burned areas, etc. The studies were carried out on a scientific basis using image analysis methods, spatial data analysis of remote sensing, the latest achievements in the field of modern GIS technologies.

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Gulzhiyan Kabdulova, Tomiris Meirmanova, Aidyn Aimbetov, Gulnara Kabzhanova, and Kazbek Baktybekov "GIS capabilities in monitoring of forest logging and assessment of burned areas based on Earth remote sensing data", Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 115240R (26 August 2020); https://doi.org/10.1117/12.2570965

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KEYWORDS

Remote sensing

Satellites

Vegetation

Geographic information systems

Satellite imaging

Raster graphics

RGB color model

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