Add to ORKGThis paper describes the harmonic analysis of time series (HANTS) algorithm. It performs two tasks: screening and removal of cloud-affected observations, and temporal interpolation of the remaining observations to reconstruct gapless images at a prescribed time. HANTS was applied to 36 AVHRR 10-days-maximum-NDVI composites covering most of Europe. The results show that cloud-affected data are recognized successfully and replaced. Up to half the data points were rejected with no consequence for the successful reconstruction of seasonal NDVI profiles
Remote sensing derived Normalized Difference Vegetation Index (NDVI) is a widely used index to monit...
One of the major challenges in optical-based remote sensing is the presence of clouds, which imposes...
Abstract Research in time-series remote sensing data is receiving increasing attention. With the ava...
This paper describes the harmonic analysis of time series (HANTS) algorithm. It performs two tasks: ...
Terrestrial remote sensing data products retrieved from radiometric measurements in the optical and ...
Reconstruction of time series of satellite image data to obtain continuous, consistent and accurate ...
In recent decades, researchers have developed methods and models to reconstruct time series of irreg...
Although the Normalized Difference Vegetation Index (NDVI) time-series data, derived from NOAA/AVFIR...
In this investigation, an advanced Harmonic Analysis of Time Series (HANTS) technique has been intro...
The use of satellite-derived NDVI time series as a proxy for vegetation phenology is well establishe...
Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable...
In this paper we propose a cloud removal algorithm for scenes within a satellite image time series b...
The parameters from the Fourier harmonics analysis based on discrete Fourier transform (DFT) algorit...
Cloud contamination impacts on the quality of hyper-temporal NDVI imagery and its subsequent interpr...
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image ti...
Remote sensing derived Normalized Difference Vegetation Index (NDVI) is a widely used index to monit...
One of the major challenges in optical-based remote sensing is the presence of clouds, which imposes...
Abstract Research in time-series remote sensing data is receiving increasing attention. With the ava...
This paper describes the harmonic analysis of time series (HANTS) algorithm. It performs two tasks: ...
Terrestrial remote sensing data products retrieved from radiometric measurements in the optical and ...
Reconstruction of time series of satellite image data to obtain continuous, consistent and accurate ...
In recent decades, researchers have developed methods and models to reconstruct time series of irreg...
Although the Normalized Difference Vegetation Index (NDVI) time-series data, derived from NOAA/AVFIR...
In this investigation, an advanced Harmonic Analysis of Time Series (HANTS) technique has been intro...
The use of satellite-derived NDVI time series as a proxy for vegetation phenology is well establishe...
Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable...
In this paper we propose a cloud removal algorithm for scenes within a satellite image time series b...
The parameters from the Fourier harmonics analysis based on discrete Fourier transform (DFT) algorit...
Cloud contamination impacts on the quality of hyper-temporal NDVI imagery and its subsequent interpr...
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image ti...
Remote sensing derived Normalized Difference Vegetation Index (NDVI) is a widely used index to monit...
One of the major challenges in optical-based remote sensing is the presence of clouds, which imposes...
Abstract Research in time-series remote sensing data is receiving increasing attention. With the ava...