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 VOLUME Vol.05 Issue04 2025 

PAGE NO. 37-44 

DOI 10.37547/ajahi/Volume05Issue04-09 

 
 
 
 

Forest Management System Based on Geospatial 

Information Resources 
 

Nazarova Gulchexra Nurmuxanbetovna 

Associate Professor, Tashkent University of Information Technologies, Uzbekistan 

 

Boboqulov Abbos Dilshod o‘g‘li 

PhD Student, Tashkent University of Information Technologies, Uzbekistan 

 

 

Received: 28 February 2025; Accepted: 29 March 2025; Published: 30 April 2025 

 

Abstract: The article discusses the development of geospatial information support for addressing forestry issues, 
implemented in the form of a forest geoinformation system that ensures the resolution of multi-level 
management problems within the Republic of Uzbekistan.   

 

Keywords: Forest infrastructure, public-private partnership, transport accessibility, efficiency, forestry complex, 
investments, regional development, logistics, strategic planning, economic assessment. 

 

Introduction: The development of sustainable forestry 
is one of the main tasks of forest management. 
Sustainable forest management refers to purposeful, 
long-term, and economically beneficial relationships 
between people and forest ecosystems. Nowadays, it is 
difficult to imagine sustainable forest management 
without forestry materials and environmental 
monitoring data. The main goal of forest management 
is to obtain reliable and comprehensive information 
about the forest fund, ensure the rational use of forest 
resources, and develop a system of measures aimed at 
the efficient expansion, protection, and preservation of 
forests. 

Data obtained in the field of forestry are one of the key 
sources for shaping information resources about the 
state of the environment, anthropogenic impacts, and 
even transboundary transfer of pollutants. These data 
contribute to more rational use of natural resources 
and help assess the condition of potentially hazardous 
facilities for the national economy. 

The main task of forest management is to provide 
forestry professionals, forestry-related activities, and 
government bodies with information through maps 
indicating forest resources and their location, and to 
monitor the activities of organizations operating in 
forested areas. The goal of the environmental 

monitoring system is to support and supply information 
for decision-making processes in environmental 
protection and environmental safety. Without proper 
information support, it is impossible to manage forests 
effectively. 

The rapid development of computer technologies and 
information systems, along with the emergence of GIS 
as systems enabling the use of spatially distributed 
multi-temporal data, has fundamentally transformed 
the entire information supply system of forestry. It has 
also created a need to develop specialized geographic 
information systems (GIS) to address forestry-related 
challenges. 

LesGIS offers several methods for updating data: 

• Based on field surveys of forest areas using 
GPS; 

• Based on field interpretation of aerial 
photographs and images; 

• Based on satellite imagery. 

After a detailed analysis of the functional features of 
various GIS platforms—including their sets of service 
applications, ability to work with cartographic 
materials, user-friendliness, and ease of learning - 
MapInfo was selected as the base system. 

LesGIS possesses computing and modeling functions 

 

https://doi.org/10.37547/ajahi/Volume05Issue04-09
https://doi.org/10.37547/ajahi/Volume05Issue04-09
https://doi.org/10.37547/ajahi/Volume05Issue04-09
https://doi.org/10.37547/ajahi/Volume05Issue04-09


American Journal Of Agriculture And Horticulture Innovations 38 https://theusajournals.com/index.php/ajahi 

American Journal Of Agriculture And Horticulture Innovations (ISSN: 2771-2559) 
 

 

for working with integrated databases, allowing for the 
adoption of various user solutions in forestry: 

• Making current updates to existing inventory 
(information) and cartographic databases using 
computers, ensuring up-to-date information about the 
forest fund at all times; 

• Retrieving data from the database in both 
digital and cartographic formats through standard and 
custom queries (including spatial distribution of query 
results). 

  

 

Figure 1 – General Structure of LesGIS 

Let's briefly consider the functional capabilities of the 
complex (system): 

1. The information acquisition and query generation 
block provides the following: obtaining information 
about each plot of forest fund land; creating queries, 
obtaining reports on queries and thematic maps; 
obtaining information about felling sites. 

2. Linear and area object cranes block: production of 
cranes of linear objects (roads, power lines, highways, 
etc.) and area objects (deviations); allocation of land 
plots for the construction of industrial and residential 
facilities; obtaining descriptions of forest fund land 
plots within the boundaries of the allocation, material 
and monetary valuation based on forestry data, data 
for drawing up a declaration by the forest user. 

3. GPS working block: using GPS receiver data when 
making changes to the cartographic database. 

4. State Forest Register block: obtaining the main forms 
of the State Forest Register; report on the assortment 
composition of forest stands; report on the results of 
cadastral assessment; report on the results of material 
and monetary assessment of felling areas. 

5. Block “Create queries”. 

The formation of queries for the selection and grouping 
of taxation indicators is carried out using the “Query 
system for the DB unit” module. The standard SQL 
language for creating queries to databases. 

6. “Forest Fund” block: 

- obtaining material and monetary assessments based 
on allocation data; 



American Journal Of Agriculture And Horticulture Innovations 39 https://theusajournals.com/index.php/ajahi 

American Journal Of Agriculture And Horticulture Innovations (ISSN: 2771-2559) 
 

 

accounting for actually cut timber, taking into account 
inspection reports of felling areas and violations of the 
rules for the removal of standing timber, analysis of the 
felling fund; 

- receiving statistical reports; 

- a set of statistical reports, analysis of the use of forest 
resources at all levels of management. 

The information basis of the system is a data bank, the 
composition and organization of which are determined 
by the composition of input and output data necessary 
to solve functional problems. The main component of 
the information system is a unified relational database 
containing information on forestry. Additional 
databases are provided for the operation of the 
system: 

- a database of stored areas; 

- a database of timber harvesting areas; 

- a database of stored queries; 

- a database of access control systems (DBKNKT); 

- a database of report templates; 

- a database of the status of tax allocations; 

- a normative-informational database (MMMB) 

- a replication database. 

The main element of the geographic information 
system is the forest inventory database, which is a set 
of interrelated template tables, the content of which 
describes various aspects of the state of forests. The 
fields of the layout tables contain numerical data and 
coded data on the taken-into-use taxation indicators, 
quality characteristics and planned activities. The data 
encoding complies with the SOLI (Forestry Information 
Processing System) standards and is accompanied by 
the corresponding references, which are part of the 
MM (normative-informational) database specially 
provided in the system. The structure of the database 
is an example of a sample form of a tax card filled out 
in the forestry process. The thesis describes the 
technology of the state forest inventory, developed 

using the LesGIS geoinformation system and aerospace 
research materials.  

Defined the concept of organization of monitoring of 
forest fund lands (forest monitoring), which is based on 
a system of complex monitoring of the state of the 
forest fund using remote sensing methods throughout 
the territory and a system of ground control with 
selective placement of permanent observation points, 
taking into account the natural conditions of forests, 
influencing factors and the ecological and economic 
significance of forests; and also with the use of space 
images. The characteristics of the tax and the stock of 
fallen harvests can be determined on the basis of large-
scale aerial photographic materials or during ground 
inspection of felling areas.  

To predict the success of subsequent restoration work 
on felled areas, aerospace images are used to record 
preserved seed fragments and lines, determine the 
sizes and distances between them, and compare the 
obtained data with the materials of the delimitation of 
felling areas. In logging areas, the timber reserves cut 
as a result of cutting seed strips or strips are 
determined based on their area and reserves indicated 
in the logging area allocation materials or forestry 
materials. In order to determine the degree of damage 
to the soil and the degree of mineralization of its 
surface from the impact of logging equipment during 
clearing, the total area of skid tracks, timber storage 
areas and other production facilities is determined 
from photographs. In clearings in mountain forests, the 
degree of development of erosion processes in the 
form of linear forms of erosion or layered soil washing 
is also determined. 

The area of forestry monitoring is shown in Figure 2. In 
the statistical inventory of forests, a network of sample 
plots is created throughout the studied area, located in 
a certain order and statistically representative in terms 
of their totality. When conducting a state forest 
inventory (GIL), it is necessary to determine the density 
and placement method of the sample plot network at 
the GIL work site.   



American Journal Of Agriculture And Horticulture Innovations 40 https://theusajournals.com/index.php/ajahi 

American Journal Of Agriculture And Horticulture Innovations (ISSN: 2771-2559) 
 

 

 

Fig. 2. Kashkadarya region forestry monitoring workspace 

The above-mentioned GIL tasks are solved using 
LesGIS. LesGIS is used to create digital maps of the 
distribution of the GIL work object area by layers 
(stratification) and to determine the number of sample 
plots. The scheme for implementing the complex of 
works on maintaining the state forest fund is shown in 
Fig. 3. 

Since digital databases have been created for only a 
third of the district forestry enterprises in Kashkadarya, 
the issue of creating a digital information base for 
forest inventory through the processing of paper-based 
forestry materials is becoming especially relevant. 

 

 

 

 

 

 

 

 



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Figure 3 - Scheme of the complex of works on the State Forest Fund 

The document proposes the following scheme for 
preparing an information base for the state forest 
inventory: 

- collection of the latest forestry materials in forestry 
enterprises (former forestry enterprises): tablets, 
forest plantation plans, tax descriptions; 

- obtaining topographic maps (scales from 1:10,000 to 
1:50,000, depending on the scale of forestry plans and 
the availability of topographic maps for a given area); 

- scanning of forestry planning and cartographic 
materials and topographic maps; 

- input of main indicators from the tax description: 
forestry, district forestry, quarter number, allotment 
number, allocated area, land category, dominant 
species, quality class, FT (forest type), dry tree trunks, 
litter, density, reserve in the allotment; characteristics 

For areas used to obtain general information on 
Uzbekistan (periodic inventory), it is necessary to 
additionally enter the full tax characteristics of 
planting; 

- linking forestry materials with topographic maps, their 
vectorization, creation of digital maps of the forest and 
forest GIS for forestry objects; 

- obtaining materials of space photography (aerial 
photography) with their subsequent processing to 
introduce changes occurring under the influence of 
economic activity and natural factors (deforestation, 
burns); 

- taxation (at the level of land categories) and 
correction of cartographic databases using forestry GIS. 

The LesGIS geoinformation system plays a special role 
in updating forestry data. This is due to the fact that the 

Conducting 

fieldwork on 

samples 

Mapping of sample 

locations 

Quality control of field 

operations 

Data 

processing 

If photostatistical 

methods are 

applied 

The GIL works 

object is selected 

(forest 

management) 

Selecting the GIL object 

(subject of the RF, 

forest area) 

Accuracy of determining 

total stock depends on the 

GIL object category 

Preparation works 

(database expansion, 

stratification, cartography) 
The required number of 

samples for the GIL 

object is calculated 

The number of samples 

for the GIL works object 

is calculated 

The presence of the 

GIL works object 

area is determined 

Locating sample 

centers in the field 

Availability 

is higher 

than 20% 

Yes No 



American Journal Of Agriculture And Horticulture Innovations 42 https://theusajournals.com/index.php/ajahi 

American Journal Of Agriculture And Horticulture Innovations (ISSN: 2771-2559) 
 

 

functional capabilities of the system allow loading 
remote sensing materials (raster of aerial photographs 
and space images) into cartographic and taxonomic 
databases created on the basis of the proposed 
technology and making changes to these databases 
based on image analysis. In addition, the age of forestry 
materials predetermines the need to update forest 
taxation indicators (changes in height and diameter, 
density and stock). All this can also be done using the 
LesGIS geographic information system. Thus, the final 
result of the actions is the update of cartographic and 
taxonomic databases used to plan GIL work. The 
following characteristics are accepted for the forest: 
species group (main species), age group, areas not 

covered by forest vegetation (burnt areas, gaps, etc.), 
vertical zonality. As one of the specific features when 
determining layers in mountainous areas, the author 
also suggests taking into account vertical zonality, so 
the height above sea level is related to the productivity 
of forest plantations. 

By constructing surveys taking into account the criteria 
for determining layers, digital maps of the distribution 
of the territory of the GIL work object by layers are 
created using the GIS “Forestry”. Figure 4 shows a part 
of such a map. 

   

  

Figure 4 - Example of polygon distribution of elevation zones using LesGIS 

The polygon design diagram is shown in Figure 5. Each polygon has an elevation attribute.  



American Journal Of Agriculture And Horticulture Innovations 43 https://theusajournals.com/index.php/ajahi 

American Journal Of Agriculture And Horticulture Innovations (ISSN: 2771-2559) 
 

 

.  

Figure 5 - Polygon distribution scheme by elevation classes 

The article proposes a methodology for monitoring 
forest management practices using space imagery, 
digital aerial photography, and ground surveys. The 
work on identifying illegal logging sites was carried out 
both interactively and automatically using multi-zone 
satellite imagery by comparing space imagery acquired 
at different times. 

CONCLUSION 

As a result of the conducted research, the following 
main results were achieved: The tasks of forest 
planning and forestry management were analyzed, the 
prospects for the development of forest planning based 
on new methods of data collection and processing were 
considered, and methods for making management 
decisions using geographic information systems (GIS) 
were analyzed. To ensure the solution of forestry 
problems at various management levels, the 
architecture of a geographic information system was 
developed: district forestry - a forestry body of a 
subject of the Republic of Uzbekistan; and the logical 
structure of databases necessary for solving these 
problems. It is proposed to use a territorial database as 
the basis for forming an interconnection of geographic 
information system databases to ensure forestry 
management. The architecture, database structure, 
query system and necessary functional modules are 
proposed to provide data analysis for making 
management decisions at various levels of forestry 

management in the subject of the Republic of 
Uzbekistan. The technology of state forest inventory 
based on high and medium-resolution satellite imagery 
and stratification using the LesGIS geoinformation 
system has been developed. The tasks of ecological 
monitoring of forests have been formulated and the 
technology for implementing monitoring has been 
developed. This technology is built on the basis of 
medium and high-resolution satellite imagery, digital 
aerial photography and the LesGIS geographic 
information system. Monitoring serves to solve the 
following tasks: 

- detection of illegal logging; 

- monitoring of compliance by forest users with the 
basic rules and regulations of forestry management; 

- assessment of the condition of clearing areas after 
logging (inspection of clearing areas). 

REFERENCES 

Manovich, V.N. Use of geographic information systems 
of forestry for organization of state forest inventory 
[Text] / V.N. Manovich // Geodesy and cartography. - 
2009. - No. 1. - P. 45-47. 

Soliyev A.I. MONITORING OF FORESTRY RESOURCES OF 
FERGANA REGION Vol. 2 No. 24 (2024): SCIENTIFIC 
APPROACH TO THE MODERN EDUCATION SYSTEM 

Dilshod Karimov, "Modern Methods of Monitoring 
Forest Resources", Tashkent: Scientific Publications, 



American Journal Of Agriculture And Horticulture Innovations 44 https://theusajournals.com/index.php/ajahi 

American Journal Of Agriculture And Horticulture Innovations (ISSN: 2771-2559) 
 

 

2022. 

Kresnov, V.G. On the characteristics of cedar forests of 
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