A biophysically based and objective satellite seasonality observation method for applications over the Arctic

Autor:	Ian Olthof, Rasim Latifovic, Norah Foy, Jean Poitevin, Donald McLennan, Wenjun Chen, Paul Zorn, Yu Zhang, Robert H. Fraser
Rok vydání:	2014
Předmět:	Phenology Growing season Seasonality medicine.disease Noise Arctic Climatology medicine General Earth and Planetary Sciences Environmental science Satellite Realization (probability) Smoothing Remote sensing
Zdroj:	International Journal of Remote Sensing. 35:6742-6763
ISSN:	1366-5901 0143-1161
DOI:	10.1080/01431161.2014.963897
Popis:	Despite wide applications of remote-sensing data with high temporal resolution for monitoring phenology, two persistent problems have prevented the realization of their full potential. The first is the subjectivity in defining thresholds for a phenological event (e.g. the start or end of growing season − SOS or EOS). The second is the use of various arbitrarily selected filtering and smoothing algorithms for constructing vegetation index seasonal profiles in order to reduce the noise caused by residue cloud contamination and aerosol variations. In this study, we addressed both problems by developing a biophysically based and objective satellite seasonality observation method (BLOSSOM) for application over Canada’s Arctic. Application of the BLOSSOM method to three northern Canadian national parks (Ivvavik, Wapusk, and Sirmilik) proved that the method is operational. Using the uncertainties in the vegetation index and its threshold, we estimated the overall mean uncertainties as being −5.3 to 3.4 days, −4....
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f189de9f2b7e0e8adbf865c2faf15610 https://doi.org/10.1080/01431161.2014.963897 Zobrazit plný text záznamu