Mapping cover crop species in southeastern Michigan using Sentinel-2 satellite data and Google Earth Engine
Cover crops are a critical agricultural practice that can improve soil quality, enhance crop yields, and reduce nitrogen and phosphorus losses from farms. Yet there is limited understanding of the extent to which cover crops have been adopted across large spatial and temporal scales. Remote sensing...
Main Authors: | Xuewei Wang, Jennifer Blesh, Preeti Rao, Ambica Paliwal, Maanya Umashaanker, Meha Jain |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-08-01
|
Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2023.1035502/full |
Similar Items
-
Financial incentive programs and farm diversification with cover crops: assessing opportunities and challenges
by: Alison Surdoval, et al.
Published: (2024-01-01) -
Popular Financial Reporting University of Michigan 2022
by: Attivor Novisi, et al.
Published: (2023-12-01) -
Popular Financial Reporting University of Michigan 2022
by: Attivor Novisi, et al.
Published: (2023-12-01) -
PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine
by: Marco Vizzari
Published: (2022-05-01) -
The Michigan Big Tree Program
by: Ted M. Reuschel
Published: (2023-10-01)