Zhuokun Pan
Zhejiang University
China
Title: An IDL-based program for constructing time-series remote sensing data: towards high spatiotemporal applications
Biography
Biography: Zhuokun Pan
Abstract
Research in time-series of remote sensing data is receiving increasing attentions. Research using relatively high spatiotemporal resolution satellite imagery was unprecedented. For the purpose of utilizing such high repeat cycle with relatively high spatial resolution satellite materials, in this paper, an IDL-based program was developed. The China’s HJ-1 A/B satellite data were employed for time-series construction. To construct a complete spatial time-series data with IDL, processing methodologies included Savitzky-Golay filter for smoothing, and linear-interpolation for daily NDVI imagery interpolation. Methodologies employed in this program are quite capable in maintaining essential shape of NDVI trajectory temporally. By analogy to commonly used multi-temporal remote sensing data (e.g., vegetation-index product derived from MODIS, AVHRR), application cases in utilizing HJ-1 A/B NDVI time-series were presented. It was also tested applicable for most multi-temporal remote sensing data for time-series construction. With the availability of relatively high spatiotemporal satellite data, the authors are having a positive expectation at utilizing such data to advance the time-series analysis in remote sensing community.