Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning

High resolution satellite imagery and modern machine learning methods hold the potential to fill existing data gaps in where crops are grown around the world at a sub-field level. However, high resolution crop type maps have remained challenging to create in developing regions due to a lack of groun...

Full description

Bibliographic Details
Main Authors: Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, Thomas Friedel, Alexander Kennepohl, Rob Strey, David B. Lobell
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
Crop type mapping
deep learning
Sentinel-2
Sentinel-1
crowdsourcing
weak supervision
Online Access:https://www.mdpi.com/2072-4292/12/18/2957

Similar Items

Similar Items