2023
DOI: 10.1038/s41598-023-44384-0
|View full text |Cite
|
Sign up to set email alerts
|

Mapping canopy traits over Québec using airborne and spaceborne imaging spectroscopy

Thomas Miraglio,
Nicholas C. Coops,
Christine I. B. Wallis
et al.

Abstract: The advent of new spaceborne imaging spectrometers offers new opportunities for ecologists to map vegetation traits at global scales. However, to date most imaging spectroscopy studies exploiting satellite spectrometers have been constrained to the landscape scale. In this paper we present a new method to map vegetation traits at the landscape scale and upscale trait maps to the continental level, using historical spaceborne imaging spectroscopy (Hyperion) to derive estimates of leaf mass per area, nitrogen, a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 82 publications
0
1
0
Order By: Relevance
“…The advancement of hyperspectral remote sensing has enabled the detection of many objects previously undetectable using broadband technology. The utilization of imaging spectrometers mounted on satellites enables various applications, such as ocean exploration [9,10], environmental monitoring, surface exploration [11], natural resources exploration [12], and biological activity monitoring [13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…The advancement of hyperspectral remote sensing has enabled the detection of many objects previously undetectable using broadband technology. The utilization of imaging spectrometers mounted on satellites enables various applications, such as ocean exploration [9,10], environmental monitoring, surface exploration [11], natural resources exploration [12], and biological activity monitoring [13][14][15].…”
Section: Introductionmentioning
confidence: 99%