INTER-ANNUAL DIFFERENCE OF LAND SURFACE PHENOLOGY (LSP) TRANSACTION DATES USING TIME SERIES LANDSAT IMAGES
- 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
- 2Network and Information Center of Changjiang Water Resources Commission, Wuhan 430015, China
- 3The College of Urban & Environment Sciences, Central China Normal University, Wuhan 430079, China
Keywords: Land Surface Phenology (LSP), Time Series Landsat Images, Inter-annual Difference, Soil Temperature and Soil Moisture, Accumulated Growing Degree-Days (AGDD), PhenoCam
Abstract. Land surface phenology (LSP) is a kind of vital information for land cover classification and vegetation growth monitoring. Time series Landsat images, with the advantages of long observations and high spatial resolution, have been widely used in LSP identification. However, LSP transaction dates, such as start of season (SOS) and end of season (EOS), are highly influenced by the coarse temporal resolution. In this study, we compare the inter-annual difference of LSP SOS from 5 years interval, 10 years interval and all years interval Landsat images, and improve the SOS estimated model by considering the accumulated growing degree-days (AGDD) of soil temperature and soil moisture. Results indicate that LSP SOS can serve as a good proxy for reflecting ground vegetation phenology, especially using 5 years interval Landsat images. Soil temperature and soil moisture have certain influence on SOS estimation, and the R-squared value reached 0.9 after model adjustment. This study can provide guidance for estimating suitable inter-annual LSP transaction dates under different sceneries in the future.