Land surface phenology detection with multisource remote sensing data: a comparative analysis

Linlin Lu; Cuizhen Wang; Huadong Guo; Xi Zhang; Yue Sui

doi:10.1117/12.2067559

8 November 2014 Land surface phenology detection with multisource remote sensing data: a comparative analysis

Linlin Lu, Cuizhen Wang, Huadong Guo, Xi Zhang, Yue Sui

Proceedings Volume 9260, Land Surface Remote Sensing II; 92602G (2014) https://doi.org/10.1117/12.2067559
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

Vegetation phenology reveals the response of vegetation to global climate change. The time series of remote sensing data have been applied to generate land surface pheology and vegetation seasonality information. In this study, land surface phenology was detected from time series of radar backscatter data from 2003 to 2007 and compared with phenological metrics derived from SPOT VEGETATION NDVI and MODIS land cover dynamic product across Australia. An asymmetric Gaussian method was used to extract phenological metrics, the start of season (SOS) and the end of season (EOS) from the time series. Comparing the spatial pattern of average SOS and EOS from the three datasets, similar spatial pattern are mapped across western and southeastern Australia. However, different phenological patterns are captured in the tropical ecosystems of northern and eastern Australia. These results showed the potential of microwave data in monitoring vegetation dynamics as complementary phenological information.

Citation Download Citation

Linlin Lu, Cuizhen Wang, Huadong Guo, Xi Zhang, and Yue Sui "Land surface phenology detection with multisource remote sensing data: a comparative analysis", Proc. SPIE 9260, Land Surface Remote Sensing II, 92602G (8 November 2014); https://doi.org/10.1117/12.2067559

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