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Research Highlights

These slides are for recent articles, announcements, meetings, and important outside links.

Hi-Res Soil Moisture from GNSS data

This CISESS Seed Project will use reflectivity and signal-to-noise observations from GNSS satellites like CYGNSS to develop high-resolution soil moisture products.

Hyperspectral Data to Find Phytoplankton

This CISESS Seed Project uses both supervised-learning and self-teaching machine learning to classify hyperspectral data to ocean composition and phytoplankton types in collaboration with the CISESS Remote Sensing Lab.

Wildfire Smoke & Early Health Warnings

This CISESS Seed Grant Project is to develop a wildfire smoke early-warning system using Earth observations, modelled data, and ground measurements to enable timely deployment of clinical support resources to high-risk areas in Maryland.

Latent Heat Profiles

The goal of this CISESS Seed Grant Project is to demonstrate the feasibility of retrieving latent heating profiles of the atmospheric column using passive microwave satellite observations.

Daily High-Res Vegetation Maps

This CISESS Seed Grant Project focuses on balancing the spatial resolution of LEO satellites and the temporal resolution of GEO satellites to produce daily high-resolution vegetation datasets (10–30m).

A Stream Water Temperature Model

This CISESS Seed Grant Project will develop a Basic Model Interface (BMI) for stream water temperature modules, enabling seamless integration with NOAA’s Next Generation Water Resources Modeling Framework (NextGen).

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Explore Our Research

We do research in a wide variety of areas at the intersection of weather and satellites. We focus on applications as well as research. read more.

educational Outreach

Young scientists, including students and post-doctoral researchers, play an important role in the conduct of research at CISESS. read more.

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Deputy Director's Welcome

Hugo_retrato_(2016) How can we best exploit satellite information for improving weather applications? What is needed to create consistent long term records of satellite products? What are the research needs to ensure we extract optimal information from future satellites sensors?

These questions lie at the core of CISESS mission of supporting NOAA’s ability to use satellite observations and Earth System models to advance its mission. Our people, research scientists and research engineers along with academic personnel, strive to make certain that our research is transferred to NOAA operations. We also believe in the need of developing and maintaining interactions with a broad community. Outreach, education, training, and literacy activities are part of our vision for a successful return to society of the confidence they have entrusted us.

Explore our web site, find out what we do and please contact us with your suggestions for improving how we communicate our activities.

Hugo Berbery

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Featured News

Friday, May 2, 2025

CISESS Shines at Maryland Day

On 26 April, the University of Maryland in College Park welcomed the public to its springtime open house. CISESS succeeded in introducing some of the cool research conducted by its scientists, delighting the public along the way.

Friday, April 25, 2025

Evaluation of Satellite Data for Oyster Aquaculture Modeling

This study, coauthored by CISESS Scientist Ron Vogel, found that satellite data products and water quality data collected routinely by the Maryland Department of Natural Resources can replace on-site measurements taken at oyster farms as input to an oyster harvest model.

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