Remote sensing of plant phenology as an indicator of climate change and for map** land
cover has received significant scientific interest in the past two decades. The advancing of …

Spatio-temporal phenological information is essential for regional crop monitoring and
accurate management. This study aimed to obtain the spatio-temporal distribution of rice …

In recent years, various techniques have been developed to generate crop-type maps based
on remote sensing data. Wheat and barley are two major cereal crops cultivated as the first …

Although rice cultivation is one of the most important agricultural sources of methane (CH 4)
and contributes∼ 8% of total global anthropogenic emissions, large discrepancies remain …

Predictive analytics is a statistical technique used to forecast and investigate the
development from past chronological data or to extract the information from data. With the …

Crop maps produced by remote sensing data play an important role in agricultural crop
studies. Most of the crop map** methods rely on field samples to train a model, which is a …

Nowadays crop map** as an interdisciplinary hot topic attracted both agriculture and
remote sensing researchers' interests. This study proposed an automatic method to map …

Accurate rice map** and growth monitoring are of great significance for ensuring food
security and agricultural sustainable development. Remote sensing (RS), as an efficient …

Accurate and timely acquisition of crop** intensity and spatial distribution of paddy rice is
not only an important basis for monitoring growth and predicting yields, but also for ensuring …

This study aimed to understand which vegetation indices (VIs) are an ideal proxy for
describing phenology and interannual variability of Gross Primary Productivity (GPP) in short …