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In situ measurement techniques in remote sensing research over grasslands Cover

In situ measurement techniques in remote sensing research over grasslands

Open Access
|May 2025

Figures & Tables

Figure 1.

Map of grasslands on: IGiK test site area (A) and PULS test sites (B)source: own elaboration
Map of grasslands on: IGiK test site area (A) and PULS test sites (B)source: own elaboration

Figure 2.

Sampling locations in the field were determined based on the vegetation sampling approach, which involved quadrats sampled at locations exhibiting both high biomass (HB) and low biomass (LB)Source: Mundava et al. (2015)
Sampling locations in the field were determined based on the vegetation sampling approach, which involved quadrats sampled at locations exhibiting both high biomass (HB) and low biomass (LB)Source: Mundava et al. (2015)

Figure 3.

Ground measurement methodsSource: own elaboration.
Ground measurement methodsSource: own elaboration.

Figure 4.

Visualization of green landscape types: (A) high productive grasslands; and (B) low-yielding unimproved permanent grasslandsSource: own elaboration
Visualization of green landscape types: (A) high productive grasslands; and (B) low-yielding unimproved permanent grasslandsSource: own elaboration

Figure 5.

The scatterplot between LAI in situ and LAI CLMSSurce: own elaboration
The scatterplot between LAI in situ and LAI CLMSSurce: own elaboration

Figure 6.

Scatter plot of modelled SM for natural grasslands vs SM in situSource: own elaboration
Scatter plot of modelled SM for natural grasslands vs SM in situSource: own elaboration
DOI: https://doi.org/10.2478/mgrsd-2025-0016 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
Language: English
Page range: 282 - 290
Submitted on: Jul 22, 2024
Accepted on: Mar 10, 2025
Published on: May 17, 2025
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Magdalena Łągiewska, Radosław Gurdak, Dariusz Ziółkowski, Konrad Wróblewski, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.