R. A. Sohlberg

TL;DR: The first results of the MODIS vegetation continuous field algorithm's global percent tree cover are presented in this article, where a supervised regression tree algorithm is used to estimate tree cover per 500m MODIS pixel.

TL;DR: In this paper, a regression tree algorithm is used to predict the dependent variable of tree cover based on signatures from the multitemporal metrics and a root mean square error (rmse) of 9.06% tree cover was found from the global training data set.

TL;DR: A new water mask product has been created using the SWBD in combination with MODIS 250 m data to create a complete global map of surface water at 250 m spatial resolution and is produced from remotely sensed data and provided to the public in digital format, free of charge.

TL;DR: In this paper, linear relationships between percent forest cover and 30 multitemporal metrics derived from all AVHRR optical and thermal channels were determined, including mean annual normalized difference vegetation index (NDVI) and mean annual brightness temperature (AVHRR Channel 3) and weakest for those metrics, besides NDVI, based on near-infrared reflectances.

TL;DR: This paper used global satellite data from the Moderate Resolution Imaging Spectro-radiometer (MODIS) instrument to investigate changes in lakes across Canada between 2000 and 2009, showing a net reduction of more than 6,700 km2 in the surface area of water.