Cloud cover and cloud shadow areas on satellite imagery restrict the practical use of remote sensing data. Thus, cloud screening and filling methods are critical for geospatial users. The recently launched Landsat-8 provides coastal/aerosol and cirrus bands to tackle this problem. In this case, clouds can be accurately detected with Landsat-8 data, and the masked cloud areas could be filled in ...

With the launch of Landsat 9 in September 2021, an optimal opportunity for in-flight cross-calibration occurred when flew underneath 8 while being moved into its final orbit. Since two instruments host nearly identical imaging systems, underfly event offered ideal conditions. The purpose this work was to use imagery collected by estimate parameters a calibration update scheduled at end on-orbit...

With the launch of Landsat-9 on 27 September 2021, Landsat continues its fifty-year continuity mission providing users with calibrated Earth observations. It has become a requirement that an underflight experiment be performed during commissioning to support sensor cross-calibration. In this most recent experiment, flew under Landsat-8 for nearly three days over 50% ground overlap, from 13 15 N...

Accurate maps of surface water are essential for many environmental applications. Surface water maps can be generated by combining measurements from multiple sources. Precise estimation of surface water using satellite imagery remains a challenging task due to the sensor limitations, complex land cover, topography, and atmospheric conditions. As a complementary dataset, in the case of hilly lan...

We investigated a method for noise removal on Landsat-8 OLI timeseries using CBERS-4 MUX data to improve crop classification. An algorithm was built to look to the nearest MUX image for each Landsat image, based on user defined time span. The algorithm checks for cloud contaminated pixels on the Landsat time series using Fmask and replaces them with CBERS-4 MUX to build the integrated time seri...