Mapping Plant Species in a Former Industrial Site Using Airborne Hyperspectral and Time Series of Sentinel-2 Data Sets

Mapping Plant Species in a Former Industrial Site Using Airborne Hyperspectral and Time Series of Sentinel-2 Data Sets

Industrial activities induce various impacts on ecosystems that influence species richness and distribution. An effective way to assess the resulting impacts on biodiversity lies in vegetation mapping. Species classification achieved through supervised machine learning algorithms at the pixel level...

Full description

Bibliographic Details
Main Authors: Rollin Gimenez, Guillaume Lassalle, Arnaud Elger, Dominique Dubucq, Anthony Credoz, Sophie Fabre
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
hyperspectral
multispectral time series
Sentinel-2
classification
machine learning
vegetation mapping
Online Access:https://www.mdpi.com/2072-4292/14/15/3633

Internet

https://www.mdpi.com/2072-4292/14/15/3633

Similar Items