Satellite images

LANDSAT

Landsat – Greenest Pixel Yearly

Data comparison

With the help of ‘true-colour’ or ‘false-colour’ satellite images, an Earth Map user will have the ability to differentiate land covers such as plant covers, bodies of water and even detect natural or anthropogenic phenomena. Earth Map provides the user with an array of VHR and HR satellite images to be used for different kinds of interpretation purposes. The Landsat joint NASA/USGS program offers the longest continuous space-based record of Earth’s land in existence since 1984. In Earth Map, we provide ‘greenest pixel’ mosaics, which are comprised of Landsat 5 (from 1984), Landsat 7 scenes (from 2000 until 2014), and Landsat 8 (from 2015 onwards). These give an overview of the highest annual live green vegetation. The Copernicus Sentinel-2 mission from the European Space Agency (ESA) is a wide-swath, high-resolution, multi-spectral imaging mission, that deals with the monitoring of vegetation, soil and water cover, as well as with observation of inland waterways and coastal areas. In Earth Map, two Sentinel-2 ‘false-colour’ mosaics, with respectively 20m (nir-swir1-red bands) and 10m (nir-red-green bands) spatial resolution are available to assess plant density and health. Sentinel 1 images from the European Space Agency (ESA) and Palsar images from the Japanese Aerospace Exploration Agency (JAXA) are also at disposal to Earth Map users. Radar images are generally not hindered by atmospheric effects and therefore capable of imaging through tropical clouds and rain showers. They are widely used to assess the extent of flooded areas and the impact on human, economic and environmental loss. The most recent incorporation into Earth Map has been Planet’s high-resolution, analysis-ready mosaics of the world’s tropics procured by Norway´s International Climate & Forests Initiative (NICFI). These are 5-meter pixel mosaics of the tropics with monthly cadence from August 2020 onwards and an archive from December 2015 to August 2020 of bi-annual mosaics. On the one hand the user will find the ‘true-colour’ mosaics that represent spatially accurate data with minimised haze, illumination, and topographic effects. On the other hand, the ‘false-colour’ mosaic offer a better understating of the vegetation patterns.