E3S Web Conf.
Volume 333, 2021Regional Problems of Earth Remote Sensing (RPERS 2021)
|Number of page(s)||5|
|Section||Monitoring of the Environment, Natural and Anthropogenic Objects and Phenomena|
|Published online||21 December 2021|
Identification of genetic soil types based on remote sensing data
Siberian State University of Geosystems and Technologies, Photogrammetry and Remote Sensing Department, 10 Plakhotnogo street, 630108, Novosibirsk, Russia
At the present stage of social development traditional contact methods of studying the territory features are inferior to other, less costly and more profitable technologies. Such technology is automation of space imagery information interpretation. It allows to minimize scope of field works and it is economically and managerially profitable method of territory analysis. So, in the work the methods of digital analysis and automatic Earth remote data sensing interpretation are used for identification of genetic soil types. During the research conditions of the land has been determined by calculation and index images analysis. The application of interpretational signs had allowed to identify genetic soil types. The methodology and the results of the analysis can serve as a basis for solving the problems of updating soil maps.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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