Toward satellite-based estimation of growing season framing dates in conditions of unstable weather

Abstract

This paper described an experiment of developing a complex technique for satellite imagery time series processing when estimating spatial distribution of framing (or changing) calendar dates of the growing seasons. Particularly, we reflected on allocation of growing season framing dates in conditions of unstable weather. As surface air temperature may fluctuate in many cases around bordering values during some days or weeks, the allocation of stable crossing of temperature through the control values (that marks time frames of growing seasons) is a fundamental problem in the case of ground observations. We compared some results of the growing season frames allocation based on ground data observations of the temperature (needed for the verification and calibration purposes), and the estimation results made relying on the data of remotely observed Normalized Difference Water Index (NDWI).