Category: GeoTIFF

Download Construction Sites Data in Shapefile, KML, MID +15 GIS Formats

Looking for accurate and structured location data of construction activity? Download Construction sites Data easily using GIS Data by MAPOG. This intuitive platform supports over 15+ GIS formats including Shapefile, KML, GeoJSON, and MID, enabling compatibility across popular GIS software. Whether you’re engaged in infrastructure planning, monitoring urban expansion, or conducting land-use analysis, MAPOG offers detailed and reliable construction site datasets that support efficient decision-making and mapping tasks.

Why Construction Sites Data Matters

Construction sites represent areas where new structures are being built or existing ones are undergoing significant changes. These locations are vital for urban planners, real estate analysts, environmental consultants, and development authorities. With the right data, professionals can assess developmental density, identify growth trends, and evaluate impact on surrounding zones.

Download Construction Sites 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 Construction Sites Data

Step 1: Search for Construction Sites Data

Begin by selecting your desired region from the GIS Data by MAPOG platform. Use the built-in search tool to look for “Construction Sites.” Datasets may include point or polygon geometries depending on how the information was mapped.

Download Construction Sites Data
Step 2: Use the AI-Powered Search Tool

MAPOG’s “Try AI” search assistant speeds up the process. Enter terms like “construction activity in zone” or “urban development sites,” and the AI tool will fetch the most relevant datasets for you—perfect when time or specificity is key.

Step 3: Filter for Precision

To narrow down your results, apply the “Filter Data” option. This helps you sort construction data by city blocks, local authorities, or planning zones, giving you a refined dataset tailored to your needs.

Step 4: Visualize Data on Interactive Map

Click “Add on Map” to instantly view your selected construction data overlaid on a live map. This visualization aids in understanding spatial distribution, construction clusters, and nearby infrastructures, allowing for more informed analysis.

Step 5: Download Construction Sites Data

Once you’ve verified the dataset, proceed to download. Choose your preferred format—be it Shapefile, KML, MID, GeoJSON, or others—and opt for either a sample preview or the complete dataset. Accept the terms, and your download will be ready in seconds.

Final Thoughts

In a world where spatial awareness and development monitoring are critical, Download Construction sites Data using GIS Data by MAPOG to stay ahead. The platform simplifies the retrieval of comprehensive construction datasets for planners, GIS analysts, and researchers alike. With its robust features and multiple export formats, it empowers users to conduct thorough analysis, plan efficiently, and visualize construction patterns with ease.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, 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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Upload and view rendered raster images in IGISMap

Raster data in GIS are pixelated data format or images that are georeferenced. Here each pixel represent a geographic area storing the values of any parameter associated with that area. Parameters represented by raster images are mostly continuous in geography such as precipitation, elevation, temperature, vegetation indices etc. Raster images also represents categorical features such as land use land cover.

The conversion of an object’s geometry, color, texture, lighting, and other attributes into a display image is called the rendering of an image. It is the technique of creating a photorealistic or non-photorealistic image from a 2D or 3D model using a computer program. A geospatial raster is only different from a digital photo in that it is accompanied by spatial information that connects the data to a particular location. A raster image can be visualized in different styles such as categorical, quantitative, paletted, multiband etc. These visualization can be stored and saved, so that to be used in other platforms for image interpretations for remote sensing analysis.

IGISMap Upload Raster File tool can add the rendered raster image in GeoTIFF format. IGISMap is a GIS-based web platform, that provides multiple GIS applications that are most important in the field of geospatial analytics. The peculiarity of IGISMap in the GIS Industry is its UI/UX, which helps the user to perform effortless geospatial operations.

Click https://map.igismap.com/upload-raster to open Upload Raster File tool

Let’s see how this can be done.

Uploading the Rendered Raster Image

After opening Upload Raster File tool, Browse your system folder and select the rendered raster file. Then click on the Upload option.

Uploading the Rendered Raster image

About the rendered raster data

As we said in the introduction, the conversion of an image’s geometry, color, texture, lighting, and other attributes into a display image is called the rendering of an image. When it comes to GIS raster images, the alteration in geometry and style of visualization depends on pixel values.

The image that we have uploaded here is a stacked image of Landsat bands – Green, Red, and Near Infrared. And this stacked image is rendered into the style of False Color Composite, which we have uploaded here.

Raster image visualized

After successfully uploading, the rendered raster image is published on the map, which can be further analyzed through image interpretations.

Viewing of the Rendered Raster image

Sharing Map

Share Map will also work with map conatining raster image uploaded. For this, first click Share Map button at the map.

Share Map

The Map Operation menu will open up to enter and enable the details for the shared map. Click Next button after completing the settings.

Map Operation

Now two options will appear – Share Map and Embed Map. Here we will simply share the map without any security. So click Share Map and click Public.

Share map Publicly

Then select Share Map button to open the popup containing a link. Copy this link and share with anyone whom you want to share your map with raster data.

Share Map Link
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