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An optimal combination of optical and radar features for a crop typ classification

Orynbaikyzy, Aiym and Gessner, Ursula and Conrad, Christopher (2019) An optimal combination of optical and radar features for a crop typ classification. Living Planet Symposium 2019, 13-17 May, 2019, Milano, Italy.

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Accurate crop type maps are vital for agricultural monitoring and sustainable land management. When derived from earth observation (EO) data, an accurate classification of crop type requires high spatial and temporal resolutions. In this study, we evaluate the suitability of interpolated time series features for the classification of 19 crop types with optical Sentinel-2 (S-2), SAR Sentinel-1 (S-1) and fusion of both data sources for a study area in Northern Germany (Brandenburg).

Item URL in elib:https://elib.dlr.de/129212/
Document Type:Conference or Workshop Item (Poster)
Title:An optimal combination of optical and radar features for a crop typ classification
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Orynbaikyzy, AiymAiym.Orynbaikyzy (at) dlr.deUNSPECIFIED
Gessner, Ursulaursula.gessner (at) dlr.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) geo.uni-halle.deUNSPECIFIED
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:crop type classification, data fusion, optical data, SAR data
Event Title:Living Planet Symposium 2019
Event Location:Milano, Italy
Event Type:international Conference
Event Dates:13-17 May, 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Orynbaikyzy, Aiym
Deposited On:07 Oct 2019 12:55
Last Modified:07 Oct 2019 12:55

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