СЪДЪРЖАНИЕ
Х. Найденски 3-4
I.
КОСМИЧЕСКИ ТЕХНОЛОГИИ И МОНИТОРИНГ НА ОКОЛНАТА СРЕДА
Разпознаване на
обекти върху
спътникови изображения
Г.
Желев, М. Чанев
5-27
Приложения на
дистанционните
методи и географски информационни системи в горската
екология
М. Цветкова, М. Чанев, Н. Долапчиев
28-42
Мониторинг на снежната
покривка чрез сателитни данни
Е. Анастасова, М. Чанев, Е. Гачев
43-51
II.
ГОРСКА ЕКОЛОГИЯ И БИОЛОГИЯ
С. Богданов, С. Дарибаева, П. Павлов
52-59
Анализ
на функционалните предназначения на
горските територии в УОГС „Петрохан“
К.
Карамфилов, С. Савев
60-66
Изследване на
пясъчни почви (Arenosols) от района
на Българското Черноморие
С. Богданов, П. Глогов, Е. Станишев
67-75
III. МИКРООРГАНИЗМИ И
ОКОЛНА
СРЕДА
Т.
Попова, И. Игнатов, П. Василева
76-82
IV.
ЕКОЛОГИЧНА
БИОТЕХНОЛОГИЯ
История и принципни
насоки за управление на отпадъците
в Република България
С.
Маринова, Е. Златарева
83-93
V.
НАУЧНИ ПРОЕКТИ
Х. Найденски
94-102
VI.
НАУЧНА ПЕРИОДИКА
25
години списание „Екологично инженерство и опазване
на околната
среда“
И. Симеонов, А. Александров
103-112
VII.
НАУЧНИ ФОРУМИ
РАЗПОЗНАВАНЕ НА ОБЕКТИ ВЪРХУ СПЪТНИКОВИ
ИЗОБРАЖЕНИЯ
Георги Желев,
Милен
Чанев
OBJECT
RECOGNITION ON SATELLITE IMAGES
Georgi Jelev,
Milen
Chanev
Abstract: Remote sensing
developed in the 1960s in connection with the
rapid advancement of space research and the need to
identify (interpret)
objects on the Earth’s surface from the obtained imagery.
The article discusses
both the methods of remote sensing and the objects of
interpretation. Image and
object recognition is a pivotal process in data analysis,
which involves the
classification of elements into various categories. These
can be classified
according to different criteria, such as origin, size, and
reflectivity, among
others. Physical– mathematical and geographical factors
serve as fundamental
bases for classification. Interpretation can be general
geographic, providing
information about the Earth’s surface, or thematic,
focusing on specific
characteristics. The process of recognition and
interpretation is essential for
the numerous applications of remote sensing, including the
analysis of land
cover and the organisation of spatial data.Remote sensing
was developed in the
1960s in connection with the intensive
development of space research and the need to recognize
(decipher) objects on
the Earth's surface from the images obtained from them.
Pattern and object
recognition is a key process in data analysis and involves
the classification
of elements into different classes. They can be classified
according to various
criteria, such as origin, size and reflectivity, etc.
Physicomathematical and
geographical factors are considered as basic in
classification.
Keywords:
object
recognition, satellite imagery, types of interpretation,
computer vision, pattern recognition.
Елена Анастасова, Милен Чанев, Емил Гачев
MONITORING SNOW COVER USING SATELLITE DATA
Elena Anastasova, Milen Chanev, Emil Gachev
Abstract: Snow cover is an important component of the cryosphere, playing a significant role in regulating the Earth's energy and water balance. According to IPCC AR6, in recent decades, as a result of rising average air temperatures, there has been a significant reduction in snow cover. These reduction trends are expected to intensify as climate warming continues. In a regional context, these changes have a direct impact on the hydrological cycle and the availability of freshwater, and have a significant effect on biodiversity and the socio-economic development of regions dependent on winter tourism. Remote sensing methods offer a valuable opportunity to monitor and analyze the dynamics of snow cover in mountainous regions. They are proving to be effective tools, allowing for systematic, rapid, and accurate spatial mapping of snow cover in vast and inaccessible areas. Among the most commonly used approaches for such mapping is the application of spectral indices, such as the Normalized Difference Snow Index (NDSI), which has established itself as a widely accepted and reliable method. This study is a literature review summarizing the main approaches, methodologies, and scientific contributions in the field of snow cover monitoring using satellite data.
Симеон Богданов, Севара
Дарибаева, Павел Павлов
Simeon Bogdanov, Sevara
Daribayeva,
Pavel Pavlov
Keywords: Cambisols,
altitude, humus, nitrogen, C/N, pH.
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Калин Карамфилов, Славчо Савев
ANALYSIS OF THE FOREST FUNCTIONS IN THE TERRITORIES ON THE PETROHAN - TRAINING AND EXPERIMENTAL FOREST RANGEKalin Karamfilov, Slavcho Savev
Abstract. The concepts of forest functions in their interaction with ecosystem services are the basis of sustainable forest management. This publication aims to monitor the implementation of the goals set for the functional purposes. The defined groups of functional purposes are sufficiently detailed and reflect all aspects of forest management and correspond to the regulatory mechanisms that support the process of achieving a favorable conservation status of habitats. The planned silvicultural systems for the individual stands forming the habitats are determined depending on the formulated operational objectives. There is no mechanism for reimbursement of ecosystem benefits to forest owners. The functional purposes of the category of forests with high conservation value allow for the identification of "valuable" habitats in forest areas. The defined functional purposes can be the basis for a dialogue between the forestry sector and the public.
Keywords: forest function, sustainable
management, ecosystem
services.
Симеон
Богданов,
Пламен Глогов, Емил Станишев
Simeon
Bogdanov, Plamen Glogov,
Emil Stanishev
Keywords: Sandy soils, properties, forest vegetation.
Теодора Попова, Игнат Игнатов, Паунка Василева
DEVELOPMENT OF PSEUDOMONAS AERUGINOSA IN VITRO UNDER ATYPICAL CONDITIONS - IN AN ANAEROBIC ENVIRONMENT WITH MOLECULAR HYDROGEN
Teodora Popova, Ignat Ignatov, Paunka Vassileva
Abstract. In vitro studies were conducted on the possibilities of growth of Pseudomonas aeruginosa in the presence of molecular hydrogen (H2) in atypical conditions for this species, imitating those of the primary hydrosphere. Three strains of P. aeruginosa were used. For the formation of H2 in the meat peptone broth culture medium, magnesium (Mg) was added to achieve a final H2 concentrations of 1 ppm and 2 ppm. At the 24th hour from the start of cultivation, all tested P. aeruginosa strains showed growth, better expressed in the culture media with 2 ppm H2 under anaerobic conditions. The growth was characterized by a slight turbidity of the liquid cultures and the formation of a slimy precipitate, which, when shaken, rises as a wide slimy band and is homogenized with abundant turbidity of the cultures. The results show the possibilities of P. aeruginosa growth in an environment typical of the primary terrestrial hydrosphere, as well as under atypical for this species conditions.
Keywords: Pseudomonas
aeruginosa, H2, anaerobic
cultivation.
Светла Маринова, Елена Златарева
Svetla Marinova, Elena Zlatareva
Keywords:
waste, composting,
anaerobic digestion
legislation,
biogas.