Register
Full name*
Email Address*
Affiliation*
Gender*
Permission
CGIAR Big Data in Agriculture may use the information you provide on this form to be in touch with you and to provide updates about this webinar. We will not share or sell your personal information. You can unsubscribe anytime by clicking the unsubscribe link in the footer of our emails, or by replying to our emails and asking to be unsubscribed. For more information, please read our privacy policy.
Yes, I consent to receiving emails*
We use BigMarker as our webinar platform. By clicking Register, you acknowledge that the information you provide will be transferred to BigMarker processing in accordance with their Terms of Service and Privacy Policy.
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 misregistration 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
1582749643-088be24a3c6040cb
Agricultural Risk Data Scientist, Decision and Policy Analysis Research Area
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.
Share