Monitoring phenological key stages and cycle duration of temperate deciduous forest ecosystems with NOAA/AVHRR data

Citation
B. Duchemin et al., Monitoring phenological key stages and cycle duration of temperate deciduous forest ecosystems with NOAA/AVHRR data, REMOT SEN E, 67(1), 1999, pp. 68-82
Citations number
32
Categorie Soggetti
Earth Sciences
Journal title
REMOTE SENSING OF ENVIRONMENT
ISSN journal
00344257 → ACNP
Volume
67
Issue
1
Year of publication
1999
Pages
68 - 82
Database
ISI
SICI code
0034-4257(199901)67:1<68:MPKSAC>2.0.ZU;2-W
Abstract
In this study we attempted to monitor two main key stages in the phenologic al cycle of deciduous forests-budburst and senescence-using the normalized difference vegetation index (NDVI) derived front NOAA/AVHRR. These stages i nduce rapid (time scale of ct month), large (>0.3) and nearly linear NDVI v ariations. The method we developed consists of a fit of NDVI predicted by l ine segment to AVHRR-NDVI time series. It made it possible to derive the bu dburst and senescence timing, and then the phenological cycle duration. A r elationship found in the literature between leaf area index (LAI) and NDVI showed that LAI was about 1 for the satellite-derived budburst and about 1. 5 for the satellite-derived senescence. We tested the method on three nearl y monospecific (Quercus petraea and Fagus sylvatica L.) forests located in France using a 6-year NOAA/AVHRR archive during the 1989-1994 period. The s atellite-derived phenology revealed differences in relational to the compos ition and the climatic features of the study areas: 1) the phenological cyc le duration of oak was longer (34 days) for southern than for northern fore sts, 2) in the North of France, beech trees were buckling earlier (5.6 days ) than oak trees, 3) the interannual variability of budburst was significan tly lower for beech than for oak trees. The comparison with ground phenolog ical observations found in the literature showed the spatio-temporal cohere nce of the satellite-derived phenology A good correlation was also found be tween the satellite-derived budburst and the budburst timing predicted from air temperatures using the thermal time model. These tests provided a firs t validation of the method we developed to monitor the phenological cycle o f deciduous forests with NOAA/AVHHR data. The limitations of the method and the perspectives for modeling temperature deciduous ecosystems are finally discussed. (C) Elsevier Science Inc., 1998.