Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation

authored by: Theodora Angelopoulou, Sabine Chabrillat, Stefano Pignatti, Robert Milewski, Konstantinos Karyotis, Maximilian Brell, Thomas Ruhtz, Dionysis Bochtis, George Zalidis
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.
Organisation(s): Institute of Soil Science
External Organisation(s): Aristotle University of Thessaloniki (A.U.Th.)
Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ)
National Research Council Italy (CNR)
International Hellenic University (IHU)
Freie Universität Berlin (FU Berlin)
Center For Research And Technology - Hellas
Type: Article
Journal: Remote sensing
Volume: 15
ISSN: 2072-4292
Publication date: 17.02.2023
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General Earth and Planetary Sciences
Electronic version(s): https://doi.org/10.3390/rs15041106 (Access: Open)

BibTeX

@article{76fa28b8634441939bf5657aed655d7a,
title = "Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation",
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.",
keywords = "airborne, imaging spectroscopy, organic carbon, remote sensing, satellite, soil spectroscopy, spectral modeling",
author = "Theodora Angelopoulou and Sabine Chabrillat and Stefano Pignatti and Robert Milewski and Konstantinos Karyotis and Maximilian Brell and Thomas Ruhtz and Dionysis Bochtis and George Zalidis",
note = "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.",
year = "2023",
month = feb,
day = "17",
doi = "10.3390/rs15041106",
language = "English",
volume = "15",
journal = "Remote sensing",
issn = "2072-4292",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "4",
}