Understanding direct deforestation drivers at a fine spatial and temporal scale is needed to design appropriate measures for forest management and monitoring. To achieve this, reference datasets with ...

Recently, I played with the global 30-m land-cover data of GLC_FCS30-2020. The data are grouped by 948 5X5 degrees regional tiles in the GeoTIFF format, which are ...

The GDAL test suite frequently creates a datasource, writes some data, and then reopens the datasource to verify that changes were made correctly. The "reopening" piece of this can be tricky, because ...

Satellite imagery provides insight into where and how Earth’s surface changes, particularly in remote areas where in situ measurements are generally lacking. With the large volumes of data produced by ...

I once did a project where I analyzed extreme precipitation at different duration and return periods (i.e., Depth Duration Frequency-DDF) at several sites. These sites locate close to each other.

Setting the env variable USE_PATH_FOR_GDAL_PYTHON=YES causes from osgeo import gdal to fail with a different error: Traceback (most recent call last): File "demo.py", line 1, in <module> from osgeo ...

Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...

I started by trying to use pip and virtual-env. This obscure how-to (and first post on Medium!) comes to you after hours of googling and trying to debug the errors I encountered along the way. In the ...