期刊论文

Lin, Hui

英文

Advances in Space Research

0273-1177

2019

63

1

190-202

10.1016/j.asr.2018.09.018

The proposed method has three steps. Firstly, smooth the MODIS-NDVI time-series data with the Savitzky-Golay (S-G) filter of TIMESAT (Jönsson and Eklundh, 2004). Derive phenological indices from the fitted MODIS-NDVI time-series data using a dynamic-threshold method via MATLAB. Resample time series MODIS-NDVI and phonological indices to 30 m resolution. Then, determine the critical stages of rice growth based on the MODIS-NDVI time-series data, phenological indices, and the observed

本校为其他机构

Remote sensing techniques are often used in mapping rice, but high quality time-series remote sensing data are difficult to obtain due to the cloudy weather of rice growing areas and long satellite revisit interval. As such, rice mapping is usually based on mono-temporal Landsat TM/ETM+ data, which have large uncertainties due to the spectral similarity of different vegetation types. Moreover, conventional pixel-based classification method is unable to meet the required accuracy for rice mapping. Therefore, this study proposes a new strategy fo...