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Proceedings Paper

Estimating vegetation phenological trends using MODIS NDVI time series
Author(s): Markus Törmä; Mikko Kervinen; Saku Anttila
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Paper Abstract

The method to extract phenological information for different land cover types is presented. Phenological features are two different start dates of growing season, date of maximum growth, end of growing season and two growing season lengths. Also, quality indicators are estimated for some phenological features. The method is based on NDVI-time series extracted from MODIS-images. The errors between extracted dates and in-situ measurements are reasonably small. For example, the residuals of the estimation of the start of Flux Growing Season are on only 2 days for broadleaf forest in one Southern Finland hydrological drainage basin. The method has been tested on Northern Boreal forest zone, where there are freezing temperatures and snow during winter.

Paper Details

Date Published: 27 October 2011
PDF: 14 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810P (27 October 2011); doi: 10.1117/12.898062
Show Author Affiliations
Markus Törmä, Finnish Environment Institute SYKE (Finland)
Mikko Kervinen, Finnish Environment Institute SYKE (Finland)
Saku Anttila, Finnish Environment Institute SYKE (Finland)


Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)

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