The unprecedented combination of high spatial (3-5m) and temporal frequency (1-3 days) offered by Planet data are ideal for observing smallholder farms. Over the last couple of years, the quality of the data improved in many ways but using this data for scientific analysis remains an uphill task due to several reasons, including data access, management, and processing.
During the 2020 CGIAR-CSI Community Meeting, Ani Ghosh, Agriculture Risk Data Scientist from Bioversity-CIAT Alliance, shared the experience of processing thousands of Planet tiles to map crop types over large areas, focusing on the following topics:
- understanding Planet Instruments and data catalog,
- using Planet API to search data,
- creating a pipeline to download and ingest the data as Google Earth Engine (GEE) asset, and
- processing the data in GEE for various agricultural applications including crop type mapping.
Following the webinar, the Community members discussed how we can best leverage this new resource in ongoing research, such as applying for the ESA call for using Planet data in research.
Ani’s presentation file is available to download from here.