dc.contributor.author
Angelopoulou, Theodora
dc.contributor.author
Chabrillat, Sabine
dc.contributor.author
Pignatti, Stefano
dc.contributor.author
Milewski, Robert
dc.contributor.author
Karyotis, Konstantinos
dc.contributor.author
Brell, Maximilian
dc.contributor.author
Ruhtz, Thomas
dc.contributor.author
Bochtis, Dionysis
dc.contributor.author
Zalidis, George
dc.date.accessioned
2023-03-09T13:57:19Z
dc.date.available
2023-03-09T13:57:19Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/38256
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-37974
dc.description.abstract
Remote sensing and soil spectroscopy applications are valuable techniques for soil property estimation. Soil organic matter (SOM) and calcium carbonate are important factors in soil quality, and although organic matter is well studied, calcium carbonates require more investigation. In this study, we validated the performance of laboratory soil spectroscopy for estimating the aforementioned properties with referenced in situ data. We also examined the performance of imaging spectroscopy sensors, such as the airborne HySpex and the spaceborne PRISMA. For this purpose, we applied four commonly used machine learning algorithms and six preprocessing methods for the evaluation of the best fitting algorithm.. The study took place over crop areas of Amyntaio in Northern Greece, where extensive soil sampling was conducted. This is an area with a very variable mineralogical environment (from lignite mine to mountainous area). The SOM results were very good at the laboratory scale and for both remote sensing sensors with R2 = 0.79 for HySpex and R2 = 0.76 for PRISMA. Regarding the calcium carbonate estimations, the remote sensing accuracy was R2 = 0.82 for HySpex and R2 = 0.36 for PRISMA. PRISMA was still in the commissioning phase at the time of the study, and therefore, the acquired image did not cover the whole study area. Accuracies for calcium carbonates may be lower due to the smaller sample size used for the modeling procedure. The results show the potential for using quantitative predictions of SOM and the carbonate content based on soil and imaging spectroscopy at the air and spaceborne scales and for future applications using larger datasets.
en
dc.format.extent
29 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
remote sensing
en
dc.subject
imaging spectroscopy
en
dc.subject
organic carbon
en
dc.subject
soil spectroscopy
en
dc.subject
spectral modeling
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften
dc.title
Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
1106
dcterms.bibliographicCitation.doi
10.3390/rs15041106
dcterms.bibliographicCitation.journaltitle
Remote Sensing
dcterms.bibliographicCitation.number
4
dcterms.bibliographicCitation.originalpublishername
MDPI
dcterms.bibliographicCitation.volume
15
dcterms.bibliographicCitation.url
https://doi.org/10.3390/rs15041106
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Weltraumwissenschaften
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2072-4292