Tag: satellite

Tracking Wildfires from Space

October 9, 2025

As the climate warms, wildfires are becoming more severe and unpredictable. Shifts in wind, weather, and fuel conditions can cause fires to change direction or

Two images of color composite (B1, B9, B1). On the left we see a blurry map image of 60m input, on the right the same image is clearer at 10m super resolution

Exploring Super Resolution Satellite Images with Artificial Intelligence

February 28, 2022

NOAA Center for Satellite Applications and Research (STAR) scientists are exploring new capabilities of enhancing satellite images with artificial intelligence (AI) so that moderate resolution images could be enhanced to include more detailed features with high resolution.

Figure: Flowchart of the satellite and near space platform simulator.

Orbit Simulator for Satellite and Near Space Platforms

November 22, 2021

ESSIC/CISESS Scientists Likun Wang, Ross Hoffman and Kayo Ide have a new manuscript accepted for publication at the Journal of Atmospheric and Oceanic Technology titled “Orbit Simulator for Satellite and Near Space Platforms Supporting Observing System Simulation Experiments”.

$Figure. The 6 × 6 km2 Howland forest area in Maine: (A) the true color image obtained by the EO-1 Hyperion on March 5, 2014 (DOY 64) at a spatial resolution of 30 m; and maps of (B) snow cover fraction (SNOWCF); (C) surface water cover fraction (WaterBodyCF); (D)soil cover fraction (SOILCF); (E) vegetation cover fraction (VGCF); (F) fAPARcanopy; (G) fAPARchl; (H) fAPARnon-chl.$

An Evergreen Forest Ecosystem from Satellites

November 16, 2021

ESSIC/CISESS Scientist Qingyuan Zhang has a new article to be published in International Journal of Applied Earth Observation and Geoinformation that characterizes the seasonally snow-covered Howland boreal forest ecosystem in Maine, USA with satellite images.

Figure: This is a precipitation event on 29 August 2020 over the Pacific Ocean near the lower California peninsula. (a) the cross-track radiometer precipitation data, (b) the conical scanning radiometer precipitation data, (c) the reference data for the event, and (d) the “morphed” radiometer precipitation data. The box shows the area of improvement due to morphing.

Improving Satellite Precipitation Retrieval

August 24, 2021

ESSIC/CISESS Scientists Yalei You, John Xun Yang, and Jun Dong have a new article on using “morphing” to improve rain data from cross-track scanning radiometers. The paper, titled “Improving Cross-track Scanning Radiometers’ Precipitation Retrieval over Ocean by Morphing”, is in press at the Journal of Hydrometeorology.

First Results Emerge from ICESat-2, Satellite Measuring Earth’s Ice Elevation

August 15, 2019

More than a trillion new measurements of the Earth’s surface height are now available to the public as the first results of ICESat-2, a mission devoted to measuring the changing height of Earth’s ice.