On the Element 84 blog, find the 'Software Engineering' category. Within this category, identify Element 84's stance on whether Zarr replaces Cloud-Optimized GeoTIFF (COG) and for what uses each format is recommended. Additionally, list two open-source technologies or standards Element 84 mentions contributing to or being involved with, based on their blog's recommended topics.
Navigate to the 'Blog' section of the Element 84 website. Identify two open-source technologies or standards listed under 'Recommended topics' on the blog page. Click on the 'Software Engineering' category link. Locate the snippet for the 'Is Zarr the new COG?' article on the 'Software Engineering' category page. Extract Element 84's perspective on the use cases for Zarr and COG from this snippet. State the identified perspective and the two open-source technologies.
Successfully navigate to the blog section. Identify and list 'Raster Vision' and 'STAC' as two open-source technologies or standards from the 'Recommended topics'. Successfully navigate to the 'Software Engineering' category page. Accurately state Element 84's perspective that Zarr and COG are complementary, with Zarr suitable for Level 3 and Level 4 n-dimensional data cubes, and COG for Level 1, Level 2, and other non-data-cube rasters.