Contents
Specific return values are related to different data sets, and different data sets have different descriptions. In GDAL, each band is a data set; moreover, the raster data set may contain sub-data sets, and each sub-data set may contain bands. First look at the RasterCount that just opened the data:
How to get raster dataset information in GDAL?
In GDAL, each band is a data set; moreover, the raster data set may contain sub-data sets, and each sub-data set may contain bands. First look at the RasterCount that just opened the data: This is a Landsat remote sensing image consisting of three bands.
How to use GDAL as an operable object in Python?
Now that a GeoTIFF file has been opened as a GDAL operable object, let’s see how it can be manipulated. Python provides the dir () introspection function [to quickly see what the current object is available for: The dir () function is probably the most famous part of the Python introspection mechanism.
How to get the projection information in GDAL?
Using the GetProjection () function, it is relatively easy to get the projection information of the dataset, but more knowledge is needed about what is map projection and how it is implemented in GDAL. Here is a brief look at the output information, a more detailed explanation will also be introduced in the following chapters.
How to get raster corner coordinates using Python GDAL?
Here’s another way to do it without calling an external program. What this does is get the coordinates of the four corners from the geotransform and reproject them to lon/lat using osr.CoordinateTransformation. ulx, uly is the upper left corner, lrx, lry is the lower right corner
How to obtain a spatial reference in GDAL?
For remote sensing images, the acquisition of spatial reference needs to be positioned in geographic space. In GDAL, there are two ways to obtain spatial reference, one of which is to use six parameter coordinate transformation model. The implementation of this model is different in different software.