Spatio-temporal monitoring of vegetation phenology in the dry sub-humid region of Nigeria using time series of AVHRR NDVI and TAMSAT datasets

Spatio-temporal monitoring of vegetation phenology in the dry sub-humid region of Nigeria using time series of AVHRR NDVI and TAMSAT datasets

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Time series data are of great importance for monitoring vegetation phenology in the dry sub-humid regions where change in land cover has influence on biomass productivity. However few studies have inquired into examining the impact of rainfall and land cover change on vegetation phenology. This stud...

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Bibliographic Details
Main Authors: Osunmadewa, Babatunde Adeniyi, Gebrehiwot, Worku Zewdie, Csaplovics, Elmar, Adeofun, Olabinjo Clement
Other Authors: De Gruyter Open,
Format: Article
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2018
Subjects:
Vegetations-Phänotyp
saisonale Trendanalyse
AVHRR NDVI3g
TAMSAT
Nigeria
Trockene subhumide Region
TU Dresden
Publikationsfond
Vegetation Phenology
Seasonal Trend Analysis
Dry sub-humid Region
Publishing Fund
ddc:550
ddc:UA 1000
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-235570
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-235570
http://www.qucosa.de/fileadmin/data/qucosa/documents/23557/Open%20Geosciences_Spatio-temporal%20monitoring%20of%20vegetation%20phenology%20in%20the%20dry%20sub-humid%20region%20of%20Nigeria%20using%20time%20series%20of%20AVHRR%20NDVI%20and%20TAMSAT%20datasets.pdf

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