This paper presents a fractional tree cover estimation algorithm from Landsat time-series observations at 30-m resolution, with the effects of background and�...

In this study, we develop an operational framework to produce Landsat-like spatial resolution FVC products using high-resolution images and a machine learning�...

In this study we used time series data from Landsat to track changes in a total vegetation cover index over time in response to energy development activities.

Aug 1, 2024 � This dataset contains global tree cover data spanning a 22-year period from 2000 to 2021, with the temporal and spatial resolutions of yearly�...

Field observations were used to train regression tree models, predicting the component cover across each HRS image. Our objectives were to evaluate the spatial�...

In this study, the utility of ARD for 30 m percent tree cover mapping is demonstrated and the impact of different ARD processing levels on mapping accuracy�...

Oct 11, 2023 � Our study presents a comprehensive algorithm to generate a 16 m/10-day FVC product by considering the vegetation types characteristics.

Sep 27, 2023 � Accurate estimation of fractional vegetation cover for winter wheat by integrated unmanned aerial systems and satellite images

This study aimed to use harmonic analysis to satellite time-series data on tree/grass phenology by estimating statistically significant harmonic terms using�...

We show that gap-filled predictors derived from the Landsat time series delivered better performance on average than non-gap-filled predictors with the average�...