Here is a place for various common and specialized remote sensing tasks and examples. Remote sensing is what I spend the majority of my time doing. My primary modalities of remote sensing are in the optical domain; this includes active laser remote sensing, passive multispectral & hyperspectral, as well as thermal sensors.
Recent posts¶
Complex ICESat-2 Queries in the cloud
The mhealpy library is an superset of the healpy library that adds support for multiresolution healpix maps. The astronomy community uses a different indexing scheme then the ‘morton’ ordering used in this notebook. There’s actually three different schemes that are provided for: ring, nested and uniq, with the first two being fixed resolution, and the last being multiresolution.
Cloud Masking in python using VIIRS
This example is (heavily) modified from Mahsa’s 2016 paper; for that work, I was actually using MODIS data to look at water vapor and ozone retrievals as possible sources error, since she had already examined the Landsat images by hand for cloud contamination. Since the Landsat images from that project intentionally didn’t have clouds, I’ve grabbed a Landsat scene for the same area that does. Note that this notebook will take 8-to-9 GB’s of memory to run.