Tag: nature

Download Forest Boundary Data in Multiple GIS Formats with Ease

Looking to Download Forest Boundary Data in multiple GIS-compatible formats? GIS Data by MAPOG makes this process intuitive and efficient. Whether you’re working on ecological research, forest management, biodiversity planning, or land-use studies, MAPOG provides well-structured and detailed forest boundary datasets. The platform supports over 15+ GIS formats, including Shapefile, KML, GeoJSON, MID, and more—ensuring flexibility across different mapping software and analytical tools.

How to Download Forest Boundary Data

GIS Data by MAPOG simplifies your workflow by offering access to over 900+ data layers from across the globe. From small patches of forest to extensive woodland zones, the platform enables users to Download Forest Boundary Data accurately and efficiently.

Download Forest Boundary Data of any countries

Note

• All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
• Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Forest Boundary Data

Step 1: Search for Forest Boundary Data

Begin by going to process data and select GIS Data & selecting your area of interest in the MAPOG interface. Use the search bar or layer tool to look for “Forest Boundary Data” datasets. The metadata will help you verify if the data is in polygon format—ideal for forest mapping.

Download Forest Boundary Data
Step 2: Try the AI Search Tool

Leverage MAPOG’s “Try AI” feature for smart, faster search results. Just type in terms like “forest areas in any specific region” and the system will automatically suggest the most relevant datasets. This reduces manual effort and increases efficiency in data discovery.

Step 3: Filter by State or District

Use the “Filter Data” tool to narrow down your search to specific states or districts. This feature is especially useful for detailed, localized forest planning, letting you drill deeper into regional datasets and gain more accurate insights.

Step 4: Visualize with ‘Add on Map’

Click “Add on Map” to instantly view your selected forest boundary layer on MAPOG’s interactive map interface. This step helps in spatial analysis, making it easier to assess forest coverage, proximity to urban zones, or environmental impact areas.

Step 5: Download the Dataset

Once you’ve reviewed and selected your data, click “Download Data.” Choose between sample or full datasets. Select your desired format—Shapefile, KML, MID, or others—agree to the usage terms, and initiate the download.

Final Thoughts

The ability to Download Forest Boundary Data in a variety of GIS formats from MAPOG offers a streamlined experience for researchers, planners, and environmental experts alike. With its rich features like smart AI search, data filtering, and visualization tools, GIS Data by MAPOG turns a once-complex task into a straightforward, efficient process. Explore, analyze, and act confidently with accurate forest boundary data at your fingertips.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

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