71 datasets found

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2018 over Bavarian Forest National Park, Germany, applying an enhanced...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2017 over Rumperöd Forest, Sweden, applying an enhanced vegetation...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2016 at the European scale, applying an enhanced vegetation index...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2020 at the European scale, applying an enhanced vegetation index...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2019 over Bavarian Forest National Park, Germany, applying an enhanced...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2020 over Bavarian Forest National Park, Germany, applying an enhanced...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2019 at the European scale, applying an enhanced vegetation index...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2018 at the European scale, applying an enhanced vegetation index...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2019 over Rumperöd Forest, Sweden, applying an enhanced vegetation...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2017 over Bavarian Forest National Park, Germany, applying an enhanced...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2018 over Rumperöd Forest, Sweden, applying an enhanced vegetation...

Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2020 over Rumperöd Forest, Sweden, applying an enhanced vegetation...

1. The word document "Source and processing of GIS-RS input data" contains the information of the used Sentinel-2 and DEM data and details of the followed pre-processing...

1. The Word file "Source and processing of GIS-RS input data" contains the source information of used DEM, Sentinel-2, and preprocessing steps.2. The files having the suffix...

Overcoming the obstacle of frequent cloud coverage in optical remote sensing data is essential for monitoring dynamic land surface processes from space. APiC, a novel adaptable...

Côte d'Ivoire and Ghana are the largest producers of cocoa in the world. In recent decades the cultivation of this crop has led to the loss of vast tracts of forest areas in...

Thematic accuracy assessment of land cover/use products requires reliable reference data that enable their qualitative and quantitative evaluation. Such dataset with up-to-date...

We present our dataset containing images with labeled polygons, annotated over Sentinel-2 L1C imagery from snow and ice-covered regions. We use similar labels as the Fmask cloud...

Supraglacial lakes form annually in surface depressions around the periphery of Greenland. Here, a deep learning method based on U-Net was employed to segment supraglacial lakes...

An algorithm that combines Big Earth Data and geospatial analysis in Google Earth Engine for the automated detection of archaeological mounds and Cultural Heritage sites that...