Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 1106 |
| Fachzeitschrift | Remote sensing |
| Jahrgang | 15 |
| Ausgabenummer | 4 |
| Publikationsstatus | Veröffentlicht - 17 Feb. 2023 |
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.
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in: Remote sensing, Jahrgang 15, Nr. 4, 1106, 17.02.2023.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation
AU - Angelopoulou, Theodora
AU - Chabrillat, Sabine
AU - Pignatti, Stefano
AU - Milewski, Robert
AU - Karyotis, Konstantinos
AU - Brell, Maximilian
AU - Ruhtz, Thomas
AU - Bochtis, Dionysis
AU - Zalidis, George
N1 - Funding Information: T.A. acknowledges an ERASMUS + grant for student traineeships at the GFZ-Potsdam. S.C., R.M. and M.B. thank the EnMAP science program funded by the German Federal Ministry for Economic Affairs and Climate actions and contributions through the DLR Space Agency. S.P. acknowledges co-funding from the Italian Space Agency (ASI) within the TEHRA project, Contract N. 2022-6-U.0, CUP F83C22000160005. Funding Information: The authors acknowledge the EnMAP scientific preparation program (grant number 50EE1529) under the DLR Space Agency with resources from the German Federal Ministry for Economic Affairs and Climate actions for the funding of the 2019 Greece field and airborne campaign and associated research at the GFZ, co-funded by the Italian Space Agency (ASI) within the TEHRA project, Contract N. 2022-6-U.0, CUP F83C2200016000.
PY - 2023/2/17
Y1 - 2023/2/17
N2 - 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.
AB - 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.
KW - airborne
KW - imaging spectroscopy
KW - organic carbon
KW - remote sensing
KW - satellite
KW - soil spectroscopy
KW - spectral modeling
UR - http://www.scopus.com/inward/record.url?scp=85149201846&partnerID=8YFLogxK
U2 - 10.3390/rs15041106
DO - 10.3390/rs15041106
M3 - Article
AN - SCOPUS:85149201846
VL - 15
JO - Remote sensing
JF - Remote sensing
SN - 2072-4292
IS - 4
M1 - 1106
ER -