A combination of Sentinel-1 RADAR and Sentinel-2 multispectral data improves classification of morphologically similar savanna woody plants

A combination of Sentinel-1 RADAR and Sentinel-2 multispectral data improves classification of morphologically similar savanna woody plants

The co-existence of diverse plant forms in densely vegetated savanna environments presents a challenge when mapping species diversity using single remotely sensed data type that carries either optical or structural information. In the present study, Sentinel-1 RADAR and Sentinel-2 multispectral data...

Full description

Saved in:
Bibliographic Details
Main Authors: Emmanuel Fundisi, Solomon G. Tesfamichael, Fethi Ahmed
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:European Journal of Remote Sensing
Subjects:
Savanna
woody plant species diversity
data fusion
Sentinel-1 C-band
Sentinel-2
Deep Neural Network algorithm
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2022.2083984
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.tandfonline.com/doi/10.1080/22797254.2022.2083984

Similar Items