Relationships between MODIS phenological metrics, topographic shade, and anomalous temperature patterns in seasonal deciduous forests of south Brazil

Author(s)

Teles, Thiago Sousa ^[1] ; Galvao, Lenio Soares ^[1] ; Breunig, Fabio Marcelo ^[2] ; Balbinot, Rafaelo ^[2] ; Gaida, William ^[2]

Affiliation

^[1] INPE, Div Sensoriamento Remoto, BR-12245970 Sao Jose Dos Campos - Brazil

^[2] Univ Fed Santa Maria, Dept Engn Florestal, BR-98400000 Frederico Westphalen - Brazil

• Document type: Journal article
• Source: International Journal of Remote Sensing; v. 36, n. 18, p. 4501-4518, 2015.
• Web of Science Citations: 1

Abstract

We investigated the relationships between 11 phenological metrics, topographic shade, and anomalous temperature patterns detected using wavelet analysis in seasonal deciduous forests of south Brazil. To obtain the metrics, we applied the TIMESAT algorithm to the enhanced vegetation index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra. MODIS acquires data from the study area under a large seasonal amplitude in the solar zenith angle (SZA). We evaluated the effect of topography on phenological metrics by correlating the metrics with shaded relief values. To analyse the inter-annual phenological metric variations with anomalous and regular temperature patterns, we calculated standard anomalies for each metric. Finally, we established relationships between the metrics and the minimum, maximum, and mean temperatures from growing seasons that spanned over 10 seasonal cycles between 2002 and 2012. The correlation results with shaded relief showed that the left (LD) and right derivative (RD), small integral (SInt), seasonal amplitude (SA), base level (BL), and maximum VI value (MV) were sensitive to topographic effects. The seasonal cycles with the highest temperatures in the growing season (2006/2007 and 2009/2010) exhibited a delay at the end of the cycle and a higher interval of duration and productivity, which was indicated by the positive standard anomalies for end of season (EOS), length of season (LOS), large integral (LInt), and SInt. We observed a different result for the lowest temperature cycle (2003/2004). The means for these metrics in anomalous seasons differed significantly from the metrics of other regular cycles at the 0.05 significance level using paired t-tests. Statistically significant correlations were observed between the metrics and minimum and mean temperature values of the 10 seasonal cycles. (AU)

• FAPESP's process: 13/03908-3 - Combined use of MODIS/Terra and RapidEye satellite images to study sub-tropical forests from the Parque Estadual do Turvo (RS)
• Grantee: Lenio Soares Galvão
• Support Opportunities: Regular Research Grants