Surveying forest phenology through time helps evaluating climate change effects on ecosystems; Vegetation Indices (VIs) time series (TS) from MODIS imagery are key instruments to this. The objective of this work was to find the best combination of VI and MODIS data to estimate starting of season (SOS) dates on broad-leaved, temperate forests. We generated TS of EVI and NDVI and four WDRVI implementations using daily reflectances from MOD09GQ/MOD09GA products and 16-day composite VIs from the MOD13Q1 dataset from 2001 through 2012. MODIS-based SOS estimations were compared with phenological ground observations from the 50 broad-leaved plots of the RENECOFOR French forest network. Results showed that the use of composite TS led to estimations as good as daily TS. EVI, NDVI and, sometimes, WDRVI0.20, were the best estimators of advanced SOS; moreover, SOS best matched ground observations respective to EOS in all comparisons.

MODIS EVI, NDVI, WDRVI, DAILY AND COMPOSITE: LOOKING FOR THE BEST 1 CHOICE TO ESTIMATE PHENOLOGICAL PARAMETERS FROM DECIDUOUS FORESTS

TESTA, STEFANO;BORGOGNO MONDINO, Enrico Corrado
2015-01-01

Abstract

Surveying forest phenology through time helps evaluating climate change effects on ecosystems; Vegetation Indices (VIs) time series (TS) from MODIS imagery are key instruments to this. The objective of this work was to find the best combination of VI and MODIS data to estimate starting of season (SOS) dates on broad-leaved, temperate forests. We generated TS of EVI and NDVI and four WDRVI implementations using daily reflectances from MOD09GQ/MOD09GA products and 16-day composite VIs from the MOD13Q1 dataset from 2001 through 2012. MODIS-based SOS estimations were compared with phenological ground observations from the 50 broad-leaved plots of the RENECOFOR French forest network. Results showed that the use of composite TS led to estimations as good as daily TS. EVI, NDVI and, sometimes, WDRVI0.20, were the best estimators of advanced SOS; moreover, SOS best matched ground observations respective to EOS in all comparisons.
2015
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Milan (Italy)
26-31 July 2015
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Proceedings
IEEE
4617
4620
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7326857
MODIS, phenology,time series, acquisition dates, EVI, NDV,WDRVI, MOD13
Testa, S.; Boschetti, L.; Borgogno Mondino, E.
File in questo prodotto:
File Dimensione Formato  
07326857_Testa_IGARSS2015_editorial.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 509.22 kB
Formato Adobe PDF
509.22 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
07326857_Testa_IGARSS2015postPrint.pdf

Open Access dal 01/01/2018

Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 854.86 kB
Formato Adobe PDF
854.86 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1583328
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact