Monitoring Multiple Cropping Index of Henan Province, China Based on MODIS-EVI Time Series Data and Savitzky-Golay Filtering Algorithm

Preprocessing time series with ICA and savitzky-golay filtering

In this paper we summarize various possible techniques such as Crossover Prediction Model or the classical Principal Component Analysis (PCA) tool to include exogenous data. Furthermore we propose a new method for volatile time series forecasting using Independent Component Analysis (ICA) algorithms and Savitzky-Golay filtering as preprocessing tools. The preprocessed data will be introduce in ...

Mapping Crop Cycles in China Using MODIS-EVI Time Series

As the Earth’s population continues to grow and demand for food increases, the need for improved and timely information related to the properties and dynamics of global agricultural systems is becoming increasingly important. Global land cover maps derived from satellite data provide indispensable information regarding the geographic distribution and areal extent of global croplands. However, l...

Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index

An Optimal Savitzky-golay Filtering Based Vertical Handoff Algorithm in Heterogeneous Wireless Networks

Vertical handoff is of great significance to achieve seamless connectivity in heterogeneous networks. It is necessary to enhance the location awareness of the mobile station (MS) as well as to reduce the adverse effect of fading so that it is able to predict future network conditions accurately. An optimal Savitzky-Golay filtering based vertical handoff algorithm is adopted in this essay, which...

A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter

Although the Normalized Difference Vegetation Index (NDVI) time-series data, derived from NOAA/AVHRR, SPOT/VEGETATION, TERRA or AQUA/MODIS, has been successfully used in research regarding global environmental change, residual noise in the NDVI timeseries data, even after applying strict pre-processing, impedes further analysis and risks generating erroneous results. Based on the assumptions th...