Document Type : Research Paper
Author
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Abstract
Abstract
To increase the comprehensibility of university textbooks, various tools, including various visual tools, can be used. This study aims: (1) to identify modern supplementary visual tools that complement geographical concepts teaching in university textbooks, and (2) to examine the characteristics and applications of these tools. To achieve the goals, a qualitative content analysis method was used. The findings indicated the identification of five modern visual tools: (1) aerial photographs, (2) satellite images, (3) GIS, (4) Google Earth, and (5) Google Earth Engine. Each of these visual tools has their own unique characteristics and applications in teaching geographical concepts. By searching the Noormags database, relevant articles were selected and analyzed in a targeted manner. Based on the findings, using modern and supplementary visual tools to teach geographical concepts in university textbooks can make this book a richer resource, and improve students' theoretical knowledge and their ability to analyze and produce spatial data as well.
Introduction
The utilization of various tools, particularly visual tools, holds special significance in the teaching and learning process of university textbooks. In the field of geography education, visual representations have traditionally played a fundamental role in conveying spatial concepts, with maps serving as the primary medium for illustrating geographical phenomena. However, rapid technological advancements have introduced a new generation of visual tools that extend far beyond traditional cartographic methods. These modern visual technologies offer unprecedented capabilities for data collection, analysis, and visualization, transforming how geographical concepts can be understood and taught.
Geography, as a discipline fundamentally concerned with spatial relationships and environmental processes, has been profoundly influenced by technological innovations in remote sensing, geographic information systems, and cloud-based spatial analysis platforms. These tools enable the collection, processing, and visualization of vast amounts of spatial data, allowing for the analysis of complex phenomena ranging from land use changes and climate patterns to urban development and environmental hazards. The integration of such tools into geographical education has become increasingly essential for preparing students to address contemporary environmental and spatial challenges.
Despite the widespread adoption of these visual technologies in geographical research and professional practice, their systematic integration into university textbooks remains limited. Traditional geography textbooks continue to rely predominantly on static maps and descriptive accounts, often failing to incorporate the dynamic, interactive, and analytical capabilities of modern visual tools. This gap between research practice and educational content creates a significant challenge for geography education, as students may graduate without adequate familiarity with the tools and methods that have become standard in professional geographical analysis.
The theoretical foundation for integrating modern visual tools into geography education draws upon cognitive load theory and multimedia learning principles. According to Sweller's cognitive load theory, learning is enhanced when information is presented in ways that reduce unnecessary cognitive burden on working memory. Mayer's principles of multimedia learning further emphasize that combining text with appropriate visual elements facilitates deeper understanding. In geography education, modern visual tools can serve as powerful complements to traditional cartographic methods by enabling three-dimensional visualization, temporal analysis, interactive exploration, and spatial reasoning development. These capabilities align well with the cognitive requirements of geographical learning, which demands the integration of spatial, environmental, and analytical thinking skills. The present study aims to identify modern visual tools that can serve as complementary aids for teaching geographical concepts in university textbooks, examining their characteristics, features, and educational applications. By systematically analyzing relevant literature and extracting key findings, this research seeks to provide guidance for enhancing geography textbook content through the integration of contemporary visual technologies.
Research Methodology
This research employs a qualitative content analysis approach to examine modern visual tools and their role as complementary educational aids in geography textbooks. Content analysis is a systematic method for identifying, analyzing, and interpreting patterns and concepts within various data forms, including texts, images, and other content types. In qualitative content analysis, the focus is on understanding deep meanings and interpreting data to extract meaningful themes (Hafeznia, 2023). This approach is particularly appropriate for examining the characteristics and applications of visual tools, as it allows for systematic identification and categorization of features across multiple sources.
The research population comprises all articles related to the study's topic indexed in the Noormags database. After reviewing article abstracts, 20 articles that employed combinations of modern visual tools were purposively selected based on comprehensiveness and direct relevance to the research topic. These articles were published between 1999 and 2025, providing a longitudinal perspective on tool development and applications. The selected articles were thoroughly read, and data regarding the visual tools used, their characteristics, and educational applications were extracted.
The selection criteria included: (1) direct relevance to modern visual tools in geographical studies; (2) use of visual tools for data collection or processing; (3) publication in peer-reviewed academic journals; and (4) comprehensiveness in addressing tool applications. The analysis followed a systematic process: first, identifying tools mentioned across articles; second, extracting characteristics and features of each tool; third, categorizing educational applications; and fourth, synthesizing findings to address the research questions. This systematic approach ensures that the findings provide a comprehensive overview of the modern visual tools available for enhancing geography textbook content.
Discussion
Modern Visual Tools: Identification and Characteristics
The comprehensive analysis of selected articles reveals five primary categories of modern visual tools that serve as complementary educational aids in geography instruction: aerial photographs, satellite imagery, remote sensing, Geographic Information Systems (GIS), and Google Earth/Google Earth Engine platforms. Each of these tools possesses unique characteristics and features that make them valuable for teaching different geographical concepts.
Aerial Photographs** represent one of the earliest forms of remote sensing, typically captured from aircraft, drones, quadcopters, or unmanned aerial vehicles (UAVs). These photographs provide high-resolution, detailed visual records of Earth's surface features. Two primary types exist: vertical photographs, taken with the camera axis perpendicular to the ground, offering planimetric accuracy suitable for mapping; and oblique photographs, taken at angles, providing three-dimensional perspectives useful for terrain visualization. Aerial photographs are valuable for examining topography, environmental monitoring, land use analysis, natural hazard assessment, cultural heritage documentation, urban planning, and infrastructure mapping for projects such as roads, railways, pipelines, and power lines. Their characteristics include variable scale and resolution, true-image representation, temporal documentation, and overlapping coverage for stereoscopic viewing. However, aerial photographs have limitations related to geometric distortion, coverage area, and the need for specialized interpretation skills.
Satellite Imagery** is captured by sensors mounted on satellites orbiting Earth, providing digital and visual data with extensive coverage, repeatability, multispectral capabilities, and high spectral resolution. Compared to aerial photographs, satellite imagery offers broader coverage, making it suitable for regional and global studies, and provides regular revisits that enable time-series analysis. The multispectral nature of satellite sensors allows for analysis beyond visible light, including infrared and thermal bands, enabling applications in vegetation monitoring, mineral exploration, atmospheric studies, and environmental assessment. Satellite imagery is used across numerous domains including geological sciences, soil science, environmental monitoring, natural resource exploration, meteorology, water resource management, urban development, disaster management, and mapping. Satellites are classified based on their orbit, application, and sensor characteristics. The integration of satellite imagery with ground-based data enhances analytical accuracy and enables sophisticated geographical modeling.
Remote Sensing** encompasses the broader process of collecting data about Earth's surface through active or passive sensors mounted on aircraft, satellites, drones, or other platforms. Remote sensing techniques involve acquiring data through electromagnetic radiation, including visible, infrared, thermal, and radar wavelengths. This technology enables systematic observation, measurement, and interpretation of Earth's surface features and environmental phenomena. The advantages of remote sensing include synoptic coverage, repetitive data collection, multispectral capabilities, digital data formats enabling computer processing, and the ability to penetrate clouds or vegetation using specific wavelengths. Remote sensing data require processing and interpretation to extract meaningful information, which can be presented as maps, charts, statistical tables, and other GIS-compatible formats. The combination of remote sensing with geographic information systems creates powerful analytical capabilities.
Geographic Information Systems (GIS)** represent computer-based systems for creating, managing, analyzing, and visualizing spatial data. According to the Persian Language and Literature Academy's definition, GIS is a system for managing spatial and descriptive data, enabling storage, editing, integration, analysis, and presentation of location-based information. GIS combines various data types including maps, satellite imagery, statistics, and descriptive information to analyze complex spatial problems. Key characteristics include: spatial data analysis capabilities, integration of multiple information layers, scenario modeling, continuous data updating, and the ability to display various types of spatial information in map form. Unlike simple mapping software, GIS is fundamentally an analytical tool that examines relationships among features, stores information for specific purposes, and connects geographical phenomena with their spatial context. GIS applications are extensive and include: mapping and cartography, telecommunications and network planning, urban planning, infrastructure development, site selection, pipeline routing, postal services for rapid information delivery, landfill site suitability analysis, underground utility mapping, school catchment analysis, economic development planning, land use change analysis, transportation planning, traffic accident analysis, crime analysis, healthcare planning, property taxation, asset management, construction industry development, fisheries, reservoir site selection, tourism, fire response distance analysis, land use/land cover change analysis, environmental change analysis, geological applications, agricultural mapping, soil management, irrigation water management, wetland mapping, natural resource management, disaster management, flood damage assessment, landslide hazard zoning, coal mine fire detection, volcanic eruption mapping, wildfire management, pest control, energy monitoring, rangeland and forest management, desertification monitoring, drainage problem identification in tea plantations, snow cover and runoff prediction, wildlife management, and coastal vegetation mapping.
Google Earth and Google Earth Engine (GEE)** represent powerful cloud-based platforms that have transformed how spatial data can be accessed and analyzed. Google Earth is an interactive platform that combines satellite imagery, aerial photographs, and GIS data in a three-dimensional environment, enabling virtual exploration of Earth's surface. Its key features include high-resolution imagery, 3D terrain models, building models, street view, historical imagery, and image overlay capabilities. Google Earth enables users to explore locations, create maps, add markers, and conduct educational and research activities. The platform is valuable for teaching geography by providing immersive virtual field experiences and visualizing spatial concepts.
Google Earth Engine (GEE) is an advanced cloud-based processing platform designed for large-scale spatial data analysis. Unlike standard Google Earth, GEE provides access to a vast archive of satellite data including imagery from Landsat, Sentinel, MODIS, and other Earth observation missions, along with analytical tools for processing this data. GEE enables analysis at scales ranging from local to global, with spatial resolution from 10 meters to several kilometers. The platform is free for research and educational use, requires no specialized remote sensing software, eliminates the need for pre-processing such as geometric and radiometric corrections, and only requires downloading results rather than entire datasets. GEE offers access to multiple international space agency databases including those of the European Space Agency (ESA) and NASA. The platform can process large time-series datasets rapidly and present results as maps, charts, and other visual outputs. Applications of GEE include vegetation monitoring, agricultural assessment, land surface temperature calculation, protected area monitoring, water resources assessment, agricultural crop monitoring, soil erosion analysis, flood monitoring, urban heat island analysis, wetland monitoring, drought assessment, environmental hazard studies, and land use/land cover change analysis.
Educational Applications and Integration
Modern visual tools serve numerous educational applications in geography instruction, functioning across both data collection and data processing stages. Their integration into geography textbooks can fundamentally transform how students understand and engage with geographical concepts. When used effectively, these tools bridge the gap between theoretical geographical knowledge and practical analytical skills.
Data Collection Applications** enable students to access and analyze real-world geographical data. Aerial photographs provide detailed local observations, while satellite imagery offers regional and global perspectives. Remote sensing data allow for systematic observation of environmental phenomena across different time periods, supporting temporal analysis. These tools enable students to: monitor environmental changes, analyze land use patterns, assess natural hazards, study climate phenomena, examine urban development, investigate water resources, and explore ecosystem dynamics. The combination of multiple data sources provides comprehensive perspectives on geographical phenomena.
Data Processing Applications** through GIS, Google Earth, and GEE enable sophisticated analysis of collected data. GIS allows for spatial querying, overlay analysis, proximity analysis, network analysis, and statistical modeling. Google Earth provides intuitive visualization and exploration, while GEE enables advanced processing including time-series analysis, machine learning applications, and large-scale environmental monitoring. Educational applications include: mapping and visualization of geographical features, spatial pattern identification, temporal change detection, scenario modeling, hypothesis testing, and data interpretation. These tools support active learning, inquiry-based exploration, and problem-solving approaches to geography education.
Key Educational Benefits** of integrating modern visual tools include: enhancing spatial thinking skills through three-dimensional visualization and interactive exploration; facilitating understanding of complex geographical concepts through visual representation; enabling authentic learning experiences using real-world data; developing technological competencies relevant to professional geography practice; supporting collaborative learning through shared platforms; and bridging theoretical knowledge with practical applications. However, each tool has limitations and none can replace others entirely; rather, they function as complementary aids that should be selected and combined based on specific learning objectives, analytical requirements, data availability, and educational contexts.
Challenges in Current Geography Textbooks
The analysis reveals several significant challenges in current geography textbook content regarding modern visual tools:
Predominance of Descriptive Approaches**: Geography textbooks often present GIS, remote sensing, and image processing concepts in purely descriptive terms, without providing practical guidance on using these tools to solve geographical problems. Students learn about tools but not how to apply them effectively.
Lack of Application-Oriented Content**: Spatial concepts such as location analysis, land use change, hazard assessment, and environmental monitoring are typically presented theoretically without connection to modern analytical tools. This creates a significant gap between textbook theories and real-world problem-solving methods and contemporary research.
Insufficient Integration of Complementary Tools**: Textbooks rarely demonstrate the integrated use of complementary tools such as remote sensing, GIS, and cloud-based platforms with statistical analysis or multi-criteria decision-making. As a result, students fail to develop competency in understanding complete modern geographical research workflows.
Absence of Concrete Examples and Practical Exercises**: The lack of concrete examples and hands-on exercises with modern tools prevents the development of practical skills and analytical thinking needed to solve complex geographical problems.
Limited Content Updates with Emerging Technologies**: Textbooks fail to incorporate rapidly emerging technologies such as powerful cloud-based platforms (GEE) and AI capabilities in geographical analysis, causing students to lag behind rapid methodological advances in geography.
Weakness in Spatial Thinking Development**: Without proper tool integration, textbooks fail to develop students' spatial thinking—the ability to understand spatial relationships, patterns, and processes. Students may learn software operation without developing capacity for spatial reasoning and geographical problem-solving.
Conclusion
This study demonstrates that modern visual tools—including aerial photographs, satellite imagery, remote sensing, Geographic Information Systems (GIS), and Google Earth/Google Earth Engine (GEE) platforms—offer significant potential as complementary aids for teaching geographical concepts in university textbooks. These tools provide capabilities extending far beyond traditional maps and images, enabling data collection across multiple scales, sophisticated spatial analysis, temporal change detection, and interactive visualization. While maps and images remain essential in geography textbooks, the integration of modern visual tools transforms textbooks from static, descriptive resources into dynamic, application-oriented learning materials.
For effective integration, geography textbooks should move beyond describing tools and focus on practical applications. This requires incorporating research-based examples from national studies, designing step-by-step practical exercises, emphasizing the combined use of modern platforms (RS + GIS + GEE), and focusing on developing spatial thinking and result interpretation skills. Through purposeful learning methods—from foundational theoretical concepts to advanced software applications—students can develop competencies in data analysis, decision-making, and spatial data production, becoming capable professionals able to make informed environmental and social decisions while maintaining competitive employability.
To achieve this transformation, curriculum revision across undergraduate, graduate, and doctoral levels is essential, followed by textbook updates shifting from theoretical and descriptive orientations toward practical applications. Textbook development should incorporate programming languages and specialized libraries, with workshops and courses providing step-by-step guidance on applying modern visual tools. Students should complete short-term projects such as local drought mapping or urban monitoring with visual and statistical outputs. The recent Iranian Seventh Five-Year Development Plan's executive regulations, specifically addressing practical and skill-based coursework, provide an enabling framework for these changes. Through these efforts, geography education in Iran can align with global methodological advancements, better preparing students for contemporary geographical research and professional practice.
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