A ground-validated NDVI dataset for monitoring vegetation dynamics and mapping phenology in Fennoscandia and the Kola peninsula

An NDVI dataset covering Fennoscandia and the Kola peninsula was created for vegetation and climate studies, using Moderate Resolution Imaging Spectroradiometer 16-day maximum value composite data from 2000 to 2005. To create the dataset, (1) the influence of the polar night and snow on the NDVI val...

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Bibliographic Details
Published in:	International journal of remote sensing Vol. 28; no. 19; pp. 4311 - 4330
Main Authors:	Beck, P. S. A., Jönsson, P., Høgda, K.-A., Karlsen, S. R., Eklundh, L., Skidmore, A. K.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 01.01.2007 Taylor and Francis
Subjects:	Animal, plant and microbial ecology Applied geophysics Biological and medical sciences climate composite materials Earth and Related Environmental Sciences Earth sciences Earth, ocean, space Europe, Fennoscandia Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Geovetenskap och relaterad miljövetenskap growing-season index Internal geophysics Mapping Natural Sciences Naturgeografi Naturvetenskap phenology Physical Geography plant phenology Q1 Q3 Remote sensing responses satellite sensor data Snow species richness surface phenology Teledetection and vegetation maps time series analysis time-series Vegetation Water springs winter Russian Federation Fennoscandia Scandinavia Kola Peninsula Vegetation index Eurasia Europe Growing season Time series accuracy remote sensing vegetation cartography climate Vegetation dynamics monitoring Modeling quality Phenology snow radiometry Foliage prediction Pixel
ISSN:	0143-1161, 1366-5901, 1366-5901
Online Access:	Get full text
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