Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | IEEE International Geoscience and Remote Sensing Symposium |
| Untertitel | IGARSS 2024 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 1599-1602 |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 979-8-3503-6032-5 |
| ISBN (Print) | 979-8-3503-6033-2 |
| Publikationsstatus | Veröffentlicht - 7 Juli 2024 |
| Veranstaltung | 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Griechenland Dauer: 7 Juli 2024 → 12 Juli 2024 |
Abstract
This study evaluates the potential of EnMAP spaceborne imaging spectroscopy for mapping and monitoring topsoil properties in two diverse Mediterranean agricultural regions. The research employs state of the art linear and nonlinear machine learning techniques, spectral transformations, and pre-processing methods to analyze EnMAP data quality in comparison to in-situ measurements. The findings demonstrate promising accuracy levels in estimating key soil properties, highlighting the potential of EnMAP imagery for global soil property mapping and monitoring applications.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
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IEEE International Geoscience and Remote Sensing Symposium: IGARSS 2024. Institute of Electrical and Electronics Engineers Inc., 2024. S. 1599-1602.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Evaluation of EnMAP Imagery for Accurate Topsoil Estimation in Mediterranean Agricultural Regions
AU - Milewski, Robert
AU - Chabrillat, Sabine
AU - Tsakiridis, Nikolaos L.
AU - Tziolas, Nikolaos
AU - Schmid, Thomas
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/7/7
Y1 - 2024/7/7
N2 - This study evaluates the potential of EnMAP spaceborne imaging spectroscopy for mapping and monitoring topsoil properties in two diverse Mediterranean agricultural regions. The research employs state of the art linear and nonlinear machine learning techniques, spectral transformations, and pre-processing methods to analyze EnMAP data quality in comparison to in-situ measurements. The findings demonstrate promising accuracy levels in estimating key soil properties, highlighting the potential of EnMAP imagery for global soil property mapping and monitoring applications.
AB - This study evaluates the potential of EnMAP spaceborne imaging spectroscopy for mapping and monitoring topsoil properties in two diverse Mediterranean agricultural regions. The research employs state of the art linear and nonlinear machine learning techniques, spectral transformations, and pre-processing methods to analyze EnMAP data quality in comparison to in-situ measurements. The findings demonstrate promising accuracy levels in estimating key soil properties, highlighting the potential of EnMAP imagery for global soil property mapping and monitoring applications.
KW - cropland
KW - EnMAP
KW - soil property mapping
KW - soil spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85208456877&partnerID=8YFLogxK
U2 - 10.1109/IGARSS53475.2024.10642254
DO - 10.1109/IGARSS53475.2024.10642254
M3 - Conference contribution
AN - SCOPUS:85208456877
SN - 979-8-3503-6033-2
SP - 1599
EP - 1602
BT - IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -