Download Vegetation Area in Shapefile, KML, KMZ +15 GIS format – Filter and download



GIS Data by MAPOG is a user-friendly platform that provides easy access to a variety of GIS data formats like Shapefile, KML, GeoJSON, and more. It simplifies the process of downloading vegetation area data efficiently, including both administrative and geographic datasets. This makes it an ideal tool for those who need to download vegetation area data for detailed mapping, environmental analysis, and natural resource management.

Key Concept for downloading Vegetation Area

GIS Data by MAPOG makes it easy to download vegetation area data by offering a clear, step-by-step guide to access data for over 200 countries with 900+ layers. The platform supports a wide range of formats such as Shapefile, KML, MID, and others, ensuring compatibility with various GIS tools and software. This flexibility allows users to obtain data tailored to their specific project requirements.

Download Vegetation Area of any countries
Note:
  • All data is available in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users must log in to download data in their preferred format.

Step-by-Step Process to Download Vegetation Area Data

Step 2: Search for ‘Vegetation Area Data’

Upon reaching the GIS Data interface, select your desired region. Use the search layer option to find the specific data layer for “vegetation areas“. Review the data attributes, including its format as a point or polygon, to ensure it matches your project needs. For example, you can search specifically for the vegetation area of countries like USA, UK, Canada, Denmark etc.

Download Vegetation Area
Download Vegetation Area
Step 3: Try the AI Feature Tool

To further simplify the search, use the “Try AI” tool located in the upper left corner. Just input what data you need and from which area, and the AI will assist in providing the most relevant results, streamlining the data search process.

Download Vegetation Area
Step 4: Filter Data

Leverage the filter data option to refine your search by selecting specific states or districts. This feature allows for a deeper exploration of the dataset, enabling users to focus on more granular details, such as specific vegetation zones, to improve accuracy and relevance for analysis.

Download Vegetation Area
Step 5: Add on Map

Use the “Add on Map” feature in MAPOG’s GIS Data to overlay the selected data onto the Map analysis interface. This step allows for better visualization of spatial relationships and patterns, supporting comprehensive GIS projects. Users can choose to add the dataset to a new map or integrate it with an existing one.

Download Vegetation Area
Step 6: Download Data

Click on the “Download Data” button and select either a sample or the full dataset, depending on your needs. Choose the desired format—such as Shapefile, KML, GeoJSON, or one of the 15+ supported options. Agree to the terms and conditions, and click the download button again to start the download.

Download Vegetation Area

Conclusion

By using GIS Data by MAPOG, users can easily download vegetation area data in various GIS formats, ensuring access to detailed and current geographic information. This versatility supports numerous applications, from environmental conservation to land management and policy development, making it an essential tool for both GIS professionals and enthusiasts.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

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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