GDAL supports a wide range of geospatial file formats, including popular ones such as GeoTIFF, ESRI Shapefile, GeoJSON, and many more. It provides a consistent interface and a unified data model for accessing geospatial data, regardless of the specific format.
With GDAL, you can perform various geospatial operations, such as data conversion, reprojection, resampling, subsetting, and mosaicking. It also offers functionalities for georeferencing images, performing raster algebra, extracting statistics, and applying filters or transformations to the data.
GDAL is widely used in the fields of geographic information systems (GIS), remote sensing, cartography, and scientific research. It is written in C++ and includes bindings for several programming languages, such as Python, Java, and C#. This makes it accessible for developers and enables the integration of GDAL's capabilities into custom applications and workflows.
Overall, GDAL is a powerful and flexible library that provides essential tools for working with geospatial data, facilitating data interoperability and enabling geospatial analysis and processing tasks.
What will i learn?
- By completing this course, you will develop a strong understanding of spatial data transformation and processing
- Access to a computer with occasional internet connection
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Introduction to GDAL
Preview 00:07:06
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GDAL Info
Preview 00:03:31
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Statistics, Histograms, and Checksums
00:01:14
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Format Conversion
00:04:07
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Adding Georeferencing
00:08:47
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Sub-setting
00:01:21
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Data Type Conversion
00:04:38
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Reprojection
00:05:12
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Mosaics
00:05:25
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Raster Operations GDAL Translate
0:00:00
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Raster Operations GDAL Warp
0:00:00
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OGR Information
00:05:07
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Reprojection of Vector Data
00:03:41
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Vector Data Conversion
00:03:28
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Merging Data
00:03:35
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Vector Operations
0:00:00
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Final Assessment
0:00:00
Frequently asked question
Is this course suitable for beginners
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