Knauer, Kim und Gessner, Ursula und Dech, Stefan und Künzer, Claudia (2014) Remote sensing of vegetation dynamics in West Africa. International Journal of Remote Sensing, 35 (17), Seiten 6357-6396. Taylor & Francis. doi: 10.1080/01431161.2014.954062. ISSN 0143-1161.
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Offizielle URL: http://www.tandfonline.com/doi/abs/10.1080/01431161.2014.954062#.VCKvkRawS7A
Kurzfassung
Vegetation dynamics and the lives of millions of people in West Africa are closely interlinked with each other. The high annual variability of the phenological cycle considerably affects the agricultural population with late rainfalls and droughts, often resulting in serious food crises. On the other hand, the rapidly growing population has a great need for space due to expanding cities and a low agricultural efficiency. This situation, together with a changing climate, has had a strong impact on vegetation dynamics in West Africa and will play a major role in the future. The dynamic nature of vegetation in the region has attracted a lot of remote-sensing-based research in the past 30 years and has lead to heated discussions. This review article gives a comprehensive overview of the studies on remotely sensed vegetation dynamics in West Africa. After an introduction to the specific situation for vegetation dynamics in West Africa, the applied sensors and their suitability for the region are outlined. Research on the assessment of different plant parameters, on phenological metrics as well as on the monitoring of agricultural areas is outlined and discussed. Furthermore, a major part of this review is dedicated to the analyses undertaken to assess vegetation trends in West Africa over the past 30 years and their potential human and climatic causes. Finally, identified research gaps and challenges for future studies are discussed.
elib-URL des Eintrags: | https://elib.dlr.de/90752/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Titel: | Remote sensing of vegetation dynamics in West Africa | ||||||||||||||||||||
Autoren: |
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Datum: | 23 September 2014 | ||||||||||||||||||||
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: | 35 | ||||||||||||||||||||
DOI: | 10.1080/01431161.2014.954062 | ||||||||||||||||||||
Seitenbereich: | Seiten 6357-6396 | ||||||||||||||||||||
Verlag: | Taylor & Francis | ||||||||||||||||||||
ISSN: | 0143-1161 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | remote sensing, vegetation dynamics, West Africa, phenology, agriculture | ||||||||||||||||||||
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 - Vorhaben Fernerkundung der Landoberfläche (alt) | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Leitungsbereich DFD | ||||||||||||||||||||
Hinterlegt von: | Knauer, Kim | ||||||||||||||||||||
Hinterlegt am: | 29 Sep 2014 11:19 | ||||||||||||||||||||
Letzte Änderung: | 29 Nov 2023 08:39 |
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