Semantic Scholar Open Access 2019 3 sitasi

Monitoring and forecasting of socio-economic development of regions based on the analysis of satellite images (on the example of solid waste disposal facilities and their impact on the environment)

М. Л. Казарян M. Kazaryan А. А. Рихтер Andrey Rihter М. А. Шахраманьян +3 lainnya

Abstrak

The object of research in this monograph is the objects of waste disposal (reduced OZO), simply put, garbage dumps, which are studied by space monitoring methods through digital processing of space images (concepts and approaches, techniques and models, programs and algorithms, educational guidelines, etc. d.). At the same time, the described approaches can be applied not only to OZO, but also to the majority of other objects on the earth's surface, therefore OZO are considered as examples of their applicability. The monograph discloses the idea of using space information as a tool for monitoring the socio-economic development of the country. The book is of interest to scientists and specialists in the field of geoinformatics, geophysics, regional economics, as well as for a wide range of readers. The book can be used as an educational tool for teachers, students and specialists in space monitoring, practical image processing, problems of solid household and industrial waste as one of the basic factors for the development of the socio-economic structure of the state.

Topik & Kata Kunci

Penulis (8)

М

М. Л. Казарян

M

M. Kazaryan

А

А. А. Рихтер

A

Andrey Rihter

М

М. А. Шахраманьян

M

Mihail Shahraman'yan

Р

Румен Недков

R

R. Nedkov

Format Sitasi

Казарян, М.Л., Kazaryan, M., Рихтер, А.А., Rihter, A., Шахраманьян, М.А., Shahraman'yan, M. et al. (2019). Monitoring and forecasting of socio-economic development of regions based on the analysis of satellite images (on the example of solid waste disposal facilities and their impact on the environment). https://doi.org/10.12737/MONOGRAPHY_5CC2BD80EEFD51.15862680

Akses Cepat

Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.12737/MONOGRAPHY_5CC2BD80EEFD51.15862680
Akses
Open Access ✓