Myanmar cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 13 December 2024.
Below is a list of 100 prominent cities in Myanmar. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 46589 places in Myanmar that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in .csv, .json, .xml and .sql formats. Notable Cities: The capital of Myanmar is Nay Pyi Taw.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
1324139 | Ho-hwè | MM | Shan | Lashio District | 22.2 | 98 | 0 | Asia/Yangon | populated place | ||
1463059 | Ka Lawt Ywar Su | Ka Lawt Ywar Su,Kalaw | MM | Yangon | Yangon South District | 16.95954 | 96.48228 | 0 | Asia/Yangon | populated place | |
1286468 | Wegyi | MM | Ayeyarwady | Pyapon District | 16.24372 | 95.54308 | 0 | Asia/Yangon | populated place | ||
1301874 | Pangkyen | MM | Shan | Kyaukme District | 22.58909 | 97.25724 | 0 | Asia/Yangon | populated place | ||
1317628 | Kwedugyi | MM | Nay Pyi Taw | Nay Pyi Taw (North) | 19.85717 | 96.43428 | 0 | Asia/Yangon | populated place | ||
12453242 | La Gan In Bauk Htu | La Gan In Bauk Htu | MM | Kachin | 26.44464 | 97.86594 | 0 | Asia/Yangon | populated place | ||
1313155 | Longat | MM | Chin | Mindat | 21.57489 | 93.30101 | 0 | Asia/Yangon | populated place | ||
1847287 | Wān Pā-hka | MM | Shan | Tachileik District | 21.4 | 101 | 0 | Asia/Yangon | populated place | ||
1326482 | Daw Ta Ngu | Daw Ta Ngu,Daw Ta-ngu,ဒေါတငူး | MM | Kayah | Loikaw District | 19.53155 | 97.2288 | 0 | Asia/Yangon | populated place | |
1309000 | Mee Zaing Chaung Hpyar | Mee Zaing Chaung Hpyar,Mizaingchaungbya | MM | Kayin | Hpapun | 17.46993 | 97.56599 | 0 | Asia/Yangon | populated place | |
1299364 | Hpoe In | Hpoe In,Put-in | MM | Mandalay | Kyaukse District | 21.22885 | 96.32998 | 0 | Asia/Yangon | populated place | |
1326269 | Dothaung | MM | Bago | Taungoo District | 18.90574 | 96.50592 | 0 | Asia/Yangon | populated place | ||
1303039 | Oktwin | MM | Ayeyarwady | Pathein District | 15.93722 | 94.44424 | 0 | Asia/Yangon | populated place | ||
1316954 | Kyaukmaw | MM | Rakhine | Mrauk-U | 19.95722 | 93.64752 | 0 | Asia/Yangon | populated place | ||
1323877 | Hpacheleik | Hpacheleik | MM | Sagain | Hkamti District | 24.82885 | 95.40441 | 0 | Asia/Yangon | populated place | |
12254502 | Aing Hlar | Aing Hlar | MM | Mandalay | 21.83117 | 95.71528 | 0 | Asia/Yangon | populated place | ||
1295602 | Subôkkwe | MM | Ayeyarwady | Pyapon District | 15.8146 | 95.14237 | 0 | Asia/Yangon | populated place | ||
1294578 | Tangin | MM | Chin | Mindat | 21.88829 | 93.4232 | 0 | Asia/Yangon | populated place | ||
1321421 | Kaingwun | MM | Sagain | Shwebo District | 23.62831 | 95.31638 | 0 | Asia/Yangon | populated place | ||
1300555 | Pe Wa | Pe,Pe Wa,ပဲဝ | MM | Tanintharyi | Dawei District | 13.45181 | 98.50422 | 0 | Asia/Yangon | populated place | |
1299774 | Polaung | MM | Ayeyarwady | Pyapon District | 16.21381 | 95.28958 | 0 | Asia/Yangon | populated place | ||
12207705 | Ka Dar | Ka Dar | MM | Mon | 16.22615 | 97.84156 | 0 | Asia/Yangon | populated place | ||
12406969 | Yan Aung Myin | Yan Aung Myin | MM | Nay Pyi Taw | 19.66982 | 96.12557 | 0 | Asia/Yangon | populated place | ||
12255138 | Ngar Lon Kone | Ngar Lon Kone | MM | Mandalay | 21.62041 | 96.09664 | 0 | Asia/Yangon | populated place | ||
1310252 | Maungmalok | MM | Magway | Thayet District | 19.30601 | 95.49905 | 0 | Asia/Yangon | populated place | ||
12238989 | Awkla | Awkla,aoutlarr,အောက်လား | MM | Chin | 21.61197 | 93.33879 | 0 | Asia/Yangon | populated place | ||
1319208 | Khayon | MM | Kachin | Myitkyinā District | 25.06376 | 97.20823 | 0 | Asia/Yangon | populated place | ||
1325186 | Hezawgale | MM | Rakhine | Mrauk-U | 20.60294 | 93.6122 | 0 | Asia/Yangon | populated place | ||
1299667 | Ponna | MM | Magway | Thayet District | 19.46843 | 95.30947 | 0 | Asia/Yangon | populated place | ||
12242344 | Yae Htwet Taung | Yae Htwet Taung,ရေထွက်တောင် | MM | Tanintharyi | 12.31073 | 98.72143 | 0 | Asia/Yangon | populated place | ||
1323867 | Hpa-ha | MM | Shan | Hopang | 23.08333 | 99.2 | 0 | Asia/Yangon | populated place | ||
1309798 | Meikthalin | MM | Bago | Taungoo District | 18.36149 | 96.66041 | 0 | Asia/Yangon | populated place | ||
1301447 | Panmaye | MM | Sagain | Katha District | 23.55308 | 95.42192 | 0 | Asia/Yangon | populated place | ||
1284130 | Zayathla | MM | Bago | Pyay District | 18.47972 | 95.41092 | 0 | Asia/Yangon | populated place | ||
1312760 | Lwehti | MM | Shan | Taunggyi District | 20.43333 | 96.7 | 0 | Asia/Yangon | populated place | ||
12238779 | Dai Wa | Dai Wa,dinew,ဒိုင်ဝ | MM | Chin | 21.37394 | 93.07126 | 0 | Asia/Yangon | populated place | ||
1290664 | Tönkeng | MM | Shan | Kyaukme District | 22.42824 | 97.36694 | 0 | Asia/Yangon | populated place | ||
1847397 | Wān Makmau | Wan Makmau,Wan Makmaw,Wān Makmau | MM | Shan | Tachileik District | 20.71833 | 100.10194 | 0 | Asia/Yangon | populated place | |
12402795 | Bee Taik Kone | Bee Taik Kone | MM | Yangon | 16.54006 | 95.90836 | 0 | Asia/Yangon | populated place | ||
1296633 | Shwegyan | MM | Rakhine | Mrauk-U | 20.56565 | 93.32161 | 0 | Asia/Yangon | populated place | ||
1321380 | Kalabe | MM | Mon | Mawlamyine District | 16.31119 | 97.55223 | 0 | Asia/Yangon | populated place | ||
1293771 | Taung Paw | MM | Shan | Taunggyi District | 21.11033 | 97.27342 | 0 | Asia/Yangon | populated place | ||
1301549 | Pangwo | MM | Shan | Mu Se District | 23.48267 | 98.06386 | 0 | Asia/Yangon | populated place | ||
1309588 | Meson | MM | Shan | Taunggyi District | 19.76797 | 96.78853 | 0 | Asia/Yangon | populated place | ||
1292615 | Thamola | MM | Kayin | Hpa-an District | 17.10346 | 98.05396 | 0 | Asia/Yangon | populated place | ||
1283864 | Zigon | MM | Sagain | Shwebo District | 22.92984 | 95.56615 | 0 | Asia/Yangon | populated place | ||
1287028 | Wan Sarè | MM | Shan | Mong Hsat District | 20.91593 | 99.35679 | 0 | Asia/Yangon | populated place | ||
1316450 | Kyauk Yae Twin | Kyauk Yae Twin,Kyaukyedwin | MM | Kayin | Kawkareik District | 16.53548 | 97.96091 | 0 | Asia/Yangon | populated place | |
1295537 | Sumhpa | MM | Kachin | Putao District | 27.67225 | 98.22454 | 0 | Asia/Yangon | populated place | ||
12239611 | Hlyaw Hpyu Kaing | Hlyaw Hpyu Kaing,လျှော်ဖြူကိုင်း | MM | Mandalay | 20.5348 | 96.05255 | 0 | Asia/Yangon | populated place | ||
1293437 | Tawnglek | MM | Shan | Kyaukme District | 22.4358 | 96.38867 | 0 | Asia/Yangon | populated place | ||
1289842 | Wajau | MM | Kachin | Bhamo District | 24.03172 | 97.30595 | 0 | Asia/Yangon | populated place | ||
12207967 | Shwe Hlay | Shwe Hlay | MM | Mon | 17.16344 | 97.24731 | 0 | Asia/Yangon | populated place | ||
1315402 | Kywe Kha Yan | Kywe Kha Yan,Kywegayan,Kywēgayan,ကျွဲခရံ | MM | Tanintharyi | Myeik District | 11.94217 | 99.11746 | 0 | Asia/Yangon | populated place | |
1321071 | Kameik | MM | Sagain | Tamu District | 24.07437 | 94.31054 | 0 | Asia/Yangon | populated place | ||
1297048 | Shanzu | MM | Ayeyarwady | Hinthada District | 18.2325 | 95.28383 | 0 | Asia/Yangon | populated place | ||
12240061 | Ah Lel Kone | Ah Lel Kone,အလယ်ကုန်း | MM | Mandalay | 20.69782 | 96.07469 | 0 | Asia/Yangon | populated place | ||
12238702 | Boisip | Boisip,bhwayshit,ဘွေရှစ် | MM | Chin | 21.30054 | 93.36872 | 0 | Asia/Yangon | populated place | ||
1314308 | Leilet | Leilet,layylaat,လေးလက် | MM | Chin | Falam | 23.11916 | 93.3819 | 0 | Asia/Yangon | populated place | |
1313966 | Letpanda | MM | Sagain | Katha District | 23.71988 | 95.89412 | 0 | Asia/Yangon | populated place | ||
1299843 | Pochawdo | MM | Kayin | Hpapun | 18.34486 | 97.1973 | 0 | Asia/Yangon | populated place | ||
1297130 | Shangwang | MM | Sagain | Hkamti District | 26.89141 | 95.7834 | 0 | Asia/Yangon | populated place | ||
1319825 | Kawna ’Ntawk | MM | Kachin | Myitkyinā District | 25.88265 | 97.8958 | 0 | Asia/Yangon | populated place | ||
1301993 | Pāng-hsai-ling | MM | Shan | Kengtung District | 22.02048 | 99.80352 | 0 | Asia/Yangon | populated place | ||
12254445 | Ywar Hla Kone | Ywar Hla Kone | MM | Mandalay | 21.87614 | 95.72007 | 0 | Asia/Yangon | populated place | ||
1312414 | Magyisu | MM | Sagain | Sagaing District | 21.87147 | 95.39508 | 0 | Asia/Yangon | populated place | ||
1309674 | Menēgon | MM | Mon | Thaton District | 17.32545 | 97.35824 | 0 | Asia/Yangon | populated place | ||
1479906 | Wān Um-yāwng | MM | Shan | Mong Hsat District | 20.69194 | 98.64444 | 0 | Asia/Yangon | populated place | ||
1297792 | Satthagyaung | MM | Tanintharyi | Dawei District | 13.77467 | 98.66966 | 0 | Asia/Yangon | populated place | ||
12453286 | La Hkum Gar | La Hkum Gar | MM | Kachin | 26.10639 | 98.08036 | 0 | Asia/Yangon | populated place | ||
1311343 | Manli | MM | Sagain | Mawlaik District | 24.1914 | 94.80698 | 0 | Asia/Yangon | populated place | ||
1308996 | Mize | MM | Tanintharyi | Myeik District | 12.59677 | 99.13154 | 0 | Asia/Yangon | populated place | ||
1287453 | Wān Pa-laü | MM | Shan | Matman | 21.97444 | 98.83782 | 0 | Asia/Yangon | populated place | ||
1306484 | Namponbon | Namponbon | MM | Sagain | Hkamti District | 24.63803 | 94.70889 | 0 | Asia/Yangon | populated place | |
1300751 | Payabyu | MM | Shan | Taunggyi District | 20.7691 | 96.98412 | 0 | Asia/Yangon | populated place | ||
12254880 | Chaung Gyi | Chaung Gyi | MM | Mandalay | 22.96495 | 96.50849 | 0 | Asia/Yangon | populated place | ||
1288751 | Wān Kaw | MM | Shan | Loilem District | 21.46677 | 98.10896 | 0 | Asia/Yangon | populated place | ||
1324909 | Hkapra | MM | Kachin | Bhamo District | 23.83506 | 97.3498 | 0 | Asia/Yangon | populated place | ||
12457467 | Ka No Hta | Ka No Hta | MM | Kayin | 17.17621 | 98.24785 | 0 | Asia/Yangon | populated place | ||
1326604 | Daw Ku Li | Daw Ku Li,Dawku-li,ဒေါကူလီ | MM | Kayah | Loikaw District | 19.31115 | 97.24998 | 0 | Asia/Yangon | populated place | |
1315843 | Kyogauk | MM | Mon | Mawlamyine District | 16.1758 | 97.83228 | 0 | Asia/Yangon | populated place | ||
1303010 | Omyedwin | Omyadg,Omyed,Omyedwin,Onmadwin | MM | Sagain | Katha District | 23.77128 | 95.44115 | 0 | Asia/Yangon | populated place | |
1316968 | Kyauklongyi | MM | Shan | Mongmit | 22.98331 | 96.889 | 0 | Asia/Yangon | populated place | ||
1294974 | Kone Ta La Paung | Kone Ta La Paung,Talabaung | MM | Yangon | Yangon (North) | 17.00845 | 96.14971 | 0 | Asia/Yangon | populated place | |
1301974 | Panghsa-se | MM | Shan | Kyaukme District | 22.4555 | 96.41858 | 0 | Asia/Yangon | populated place | ||
1328106 | Bogon | MM | Sagain | Shwebo District | 23.04259 | 95.5486 | 0 | Asia/Yangon | populated place | ||
1286904 | Wan Tawng | MM | Shan | Loilem District | 21.91227 | 97.6564 | 0 | Asia/Yangon | populated place | ||
1311655 | Mān Hsak | MM | Shan | Lashio District | 23.23442 | 98.49515 | 0 | Asia/Yangon | populated place | ||
1312460 | Magyigon | Magyigon,Mansi | MM | Sagain | Katha District | 24.6788 | 95.72927 | 0 | Asia/Yangon | populated place | |
12457188 | Htee Baw Law | Htee Baw Law | MM | Kayin | 17.54695 | 97.66171 | 0 | Asia/Yangon | populated place | ||
1299439 | Bum War | Bum War,Pumwa | MM | Kachin | Myitkyinā District | 25.3363 | 97.90729 | 0 | Asia/Yangon | populated place | |
12201906 | Doe Lar Saw | Doe Lar Saw,ဒိုးလာစော | MM | Kayah | 19.27286 | 97.06489 | 0 | Asia/Yangon | populated place | ||
1294709 | Hta Naung Kone | Hta Naung Kone,Tanaunggon | MM | Mandalay | Meiktila District | 21.10093 | 96.01686 | 0 | Asia/Yangon | populated place | |
1288199 | Wān Man Kin Kaw | Wan Mai Kin Kaw,Wan Man Kin Kaw,Wān Mai Kin Kaw,Wān Man Kin Kaw | MM | Shan | Taunggyi District | 21.36961 | 97.43964 | 0 | Asia/Yangon | populated place | |
1316376 | Kyaunggwin | MM | Ayeyarwady | Pathein District | 17.4594 | 94.99944 | 0 | Asia/Yangon | populated place | ||
1287402 | Wān Pānghkao-lam | MM | Shan | Kengtung District | 20.82648 | 98.62854 | 0 | Asia/Yangon | populated place | ||
1480736 | Lubyogon | MM | Yangon | Yangon (North) | 17.17594 | 96.28602 | 0 | Asia/Yangon | populated place | ||
1317821 | Kunhkan | MM | Shan | Langhko District | 20.15369 | 97.66871 | 0 | Asia/Yangon | populated place | ||
1329107 | An Teing | MM | Chin | Mindat | 21.15968 | 93.21627 | 0 | Asia/Yangon | populated place | ||
1317528 | Kwintha | MM | Magway | Magway District | 19.93439 | 95.46025 | 0 | Asia/Yangon | populated place |
**Exploring Myanmar: A Geographer's Perspective**
Nestled in the heart of Southeast Asia, Myanmar, formerly known as Burma, is a country of profound cultural heritage, diverse landscapes, and historical significance. As a geographer embarking on a journey to understand this captivating nation, the quest for data on its cities, regions, and geographical coordinates unveils a tapestry of complexity and geographical significance waiting to be uncovered.
Cities of Myanmar: Guardians of Tradition and Modernity**
Myanmar's cities serve as dynamic hubs of culture, commerce, and history. From the bustling streets of Yangon, the former capital and largest city, to the serene beauty of Mandalay and the ancient temples of Bagan, each urban center is a testament to the country's rich heritage. Gathering data on these cities not only reveals their population demographics and economic activities but also provides insights into the cultural influences that have shaped their identities over centuries.
Regions and Departments of Myanmar: Exploring the Country's Geographical Diversity**
Beyond the urban sprawl, Myanmar's regions and departments offer a glimpse into its diverse landscapes and ecological wonders. From the lush forests of Kachin State to the arid plains of Mandalay Region and the pristine beaches of Tanintharyi Region, each region boasts its own unique biodiversity and natural beauty. Obtaining data on these regions provides insights into their environmental resources, conservation efforts, and sustainable development initiatives.
Latitude and Longitude of Myanmar: Navigating the Country's Coordinates**
As a geographer, obtaining precise latitude and longitude data for each city of Myanmar is essential for understanding its geographical context and spatial distribution. These coordinates serve as navigational markers, guiding explorers through the country's diverse terrain and waterways. From the Irrawaddy River delta to the peaks of the Shan Hills and the remote villages of Chin State, each point on the map tells a story of geographical significance and cultural heritage, shaping Myanmar's identity as a land of contrasts and resilience.
Conclusion: Mapping Myanmar's Geographical Tapestry**
In the pursuit of data on Myanmar's cities, regions, and geographical coordinates, a deeper narrative emerges—one of diversity, complexity, and geographical significance. It is a narrative that transcends borders and boundaries, connecting people to the land and to each other. As a geographer, unraveling this tapestry of geographical intricacies is not just a scholarly pursuit but a journey of discovery and appreciation for the wonders of our planet.
Myanmar beckons—a land of endless exploration, waiting to be understood, cherished, and celebrated for its geographical marvels and cultural treasures.
Download data files for Myanmar's cities in CSV, SQL, XML and JSON formats
Exploring Myanmar's Geography: A Data-Driven Approach to Understanding Cities and Regions
Myanmar, a country rich in cultural diversity and natural beauty, is characterized by an intricate geographical landscape. From the rugged mountains in the north to the fertile plains and expansive coastlines along the Bay of Bengal, Myanmar's geography plays a pivotal role in shaping its economy, society, and urban development. As a geographer, understanding how cities and regions are distributed across this diverse landscape is critical for analyzing patterns of human settlement, infrastructure growth, and environmental challenges. Geographic data on Myanmar’s cities, regions, and departments offers valuable insights into these dynamics, and with the right tools, researchers and planners can make informed decisions that support sustainable development.
The Geographical Structure of Myanmar
Myanmar is divided into 14 administrative regions, including seven states and seven regions, each of which varies in its geographical features and population density. The capital city, Naypyidaw, is located in the central part of the country, while other major cities such as Yangon, Mandalay, and Mandalay are distributed across different regions, often influenced by the proximity to major rivers, such as the Irrawaddy River.
The central plain, a key agricultural area, contrasts with the mountainous regions in the east and the western coastal belt. This diversity in topography influences both the living conditions of the population and the distribution of resources. The coastal regions are vital for trade and tourism, while the highland regions are known for their ethnic diversity and natural beauty, which are both challenges and opportunities for governance and development.
Each region and state has its own unique geography, with urban centers often located along riverbanks or in the lowlands, where agriculture and trade have historically flourished. Understanding these regions’ boundaries and their connections is essential for anyone working in fields such as urban planning, resource management, and infrastructure development.
Latitude and Longitude: Mapping Myanmar’s Cities with Precision
Latitude and longitude coordinates are vital for accurately mapping the locations of cities, towns, and regions across Myanmar. These geographic coordinates enable the precise location of key cities like Yangon, Mandalay, and Naypyidaw, which is crucial for understanding their relationships with the surrounding natural features and for urban planning.
By obtaining latitude and longitude data for each city, geographers can create high-resolution maps that display urban sprawl, land use patterns, and transportation networks. This data helps to visualize how cities are distributed within the context of Myanmar’s diverse geography, from the riverine plains to the mountainous zones. Additionally, the geographic coordinates can be used to analyze regional disparities, track urban migration, and plan infrastructure projects that consider both urban and rural dynamics.
For example, Yangon, Myanmar’s largest city, is situated along the Yangon River, which has played a significant role in its development. Mandalay, located in the central region, is a key cultural hub. Knowing the latitude and longitude coordinates of these cities enables geographers to conduct spatial analyses that reveal the socio-economic and environmental factors affecting these regions.
The Importance of Flexible Data Formats
When it comes to geographic data, having access to information in various formats is essential for flexibility and usability. Offering data on Myanmar’s cities and regions in formats such as CSV, SQL, JSON, and XML ensures that researchers, urban planners, and policymakers can integrate the data into various tools and systems, enabling them to conduct different types of analysis.
- **CSV (Comma-Separated Values):** CSV files are simple to use and provide an efficient way to store and manipulate data. By organizing data on city names, populations, and geographic coordinates in tabular form, users can easily perform preliminary analysis and create maps with basic GIS tools. CSV files are ideal for users who need to quickly access and sort data without the need for complex software.
- **SQL (Structured Query Language):** SQL is perfect for managing large datasets in relational databases. For more detailed and complex analysis, SQL allows users to query specific city data and perform advanced spatial analyses. Researchers can use SQL to extract information about urbanization trends, demographic data, or infrastructure needs, and then run sophisticated queries to identify regional patterns across Myanmar.
- **JSON (JavaScript Object Notation):** JSON is a lightweight and flexible data format that is widely used for web applications. It is well-suited for dynamic, real-time applications, such as interactive maps or location-based services. JSON is ideal for developers who are building web platforms that rely on geographical data, as it is easy to parse and integrate with modern data systems.
- **XML (Extensible Markup Language):** XML is a highly versatile format for exchanging data across different systems and platforms. It supports complex and structured data, making it a good choice for sharing Myanmar’s geographic data in a way that is compatible with a wide variety of applications, from GIS tools to government databases. XML’s flexibility ensures that the data can be used for a variety of purposes, from environmental modeling to urban planning.
These formats ensure that the geographic data on Myanmar’s cities, regions, and departments can be accessed and utilized in the most effective way, depending on the nature of the analysis or the platform being used.
A Comprehensive Database for Myanmar’s Geographic Analysis
For anyone studying Myanmar’s geography, whether for academic research, government policy, or urban development projects, a comprehensive and organized database is essential. A database containing detailed geographic data on Myanmar’s cities, regions, and departments, along with their latitude and longitude coordinates, provides the necessary foundation for deeper spatial analysis.
This type of database can be used to explore various aspects of Myanmar’s geography, such as how population growth correlates with urbanization in major cities, how rural areas are impacted by regional development, and how environmental factors, such as river systems or monsoons, shape urban life. By accessing this data, researchers can identify trends in infrastructure development, urban migration, and climate change, helping to inform policies that support sustainable development.
Providing this geographic data in formats like CSV, SQL, JSON, and XML ensures that the data can be seamlessly integrated into existing platforms, whether they are used for research, policy-making, or practical applications such as disaster management or urban planning.
Conclusion
Myanmar’s diverse geography, with its mixture of coastal plains, river systems, and mountainous regions, offers both challenges and opportunities for geographical research. Understanding the distribution of cities and regions, along with their geographic coordinates, is key to analyzing urban growth, regional disparities, and environmental impacts. By making this data available in flexible formats such as CSV, SQL, JSON, and XML, users can access and analyze the data in a way that best suits their specific needs. This comprehensive data-driven approach helps to enhance our understanding of Myanmar’s geographical landscape and supports informed decision-making for sustainable development, urban planning, and environmental management.