Orynbaikyzy, Aiym und Gessner, Ursula und Conrad, Christopher (2019) Crop type classification using a combination of optical and radar remote sensing data: a review. International Journal of Remote Sensing, 40 (17), Seiten 6553-6595. Taylor & Francis. doi: 10.1080/01431161.2019.1569791. ISSN 0143-1161.
PDF
- Nur DLR-intern zugänglich
- Verlagsversion (veröffentlichte Fassung)
4MB |
Offizielle URL: https://www.tandfonline.com/doi/full/10.1080/01431161.2019.1569791
Kurzfassung
Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years, crop type classification and monitoring were focused on single-source optical satellite data classification. With advancements in sensor technologies and processing capabilities, the potential of multi-source satellite imagery has gained increasing attention. The combination of optical and radar data is particularly promising in the context of crop type classification as it allows explaining the advantages of both sensor types with respect to e.g. vegetation structure and biochemical properties. This review article gives a comprehensive overview of studies on crop type classification using optical and radar data fusion approaches. A structured review of fusion approaches, classification strategies and potential for mapping specific crop types is provided. Finally, the partially untapped potential of radaroptical fusion approaches, research gaps and challenges for upcoming future studies are highlighted and discussed.
elib-URL des Eintrags: | https://elib.dlr.de/129210/ | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Crop type classification using a combination of optical and radar remote sensing data: a review | ||||||||||||||||
Autoren: |
| ||||||||||||||||
Datum: | Januar 2019 | ||||||||||||||||
Erschienen in: | International Journal of Remote Sensing | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 40 | ||||||||||||||||
DOI: | 10.1080/01431161.2019.1569791 | ||||||||||||||||
Seitenbereich: | Seiten 6553-6595 | ||||||||||||||||
Verlag: | Taylor & Francis | ||||||||||||||||
ISSN: | 0143-1161 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | data fusion, optical data, SAR data, remote sensing, crop type classification | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche | ||||||||||||||||
Hinterlegt von: | Orynbaikyzy, Aiym | ||||||||||||||||
Hinterlegt am: | 18 Sep 2019 10:04 | ||||||||||||||||
Letzte Änderung: | 31 Okt 2023 15:11 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags