Webinar – Agricultural Monitoring with Planet Data
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. In this webinar, I will share the experience of processing thousands of Planet tiles to map crop types over large areas. More specifically, I will focus on the following topics: i) understanding Planet Instruments and data catalog, ii) use Planet API to search data, iii) create a pipeline to download and ingest the data as Google Earth Engine asset and iv) process the data in Earth Engine for various agricultural applications including crop type mapping. In addition, I will discuss cloud cover and mis-registration issues, and challenges with calibration between different sensors in the Planetscope family.
- 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 asset
- Processing the data in Earth Engine for agricultural applications
Agricultural Risk Data Scientist, University of California, Davis
Ani Ghosh specializes in remote sensing and is an Assistant Project Scientist in Department of Environmental Science and Policy at the University of California, Davis. He has a Ph.D in Natural Resources Managament from TERI University, India. His research focuses on the integration of different geospatial technologies, using field data and modeling tools to explore and explain spatial patterns and processes at multiple scales across diverse ecosystems.
March 8, 2020