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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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RGB Image

Apr 14, 2025 01:17 PM

RGBs Recommendations for Weather Forecasting

At the 2025 Red-Green-Blue (RGBs) Experts and Developers Workshop (1–3 April), CISESS Scientist and Satellite Liaison to the NWS Weather Prediction Center (WPC) and Ocean Prediction Center (OPC), Christopher Smith, presented a talk on “RGBs in testbeds for U.S . Weather Offices.”

Framework for the stream water temperature model

Apr 14, 2025 11:58 AM

CISESS Seed Grant: Developing a Basic Model Interface (BMI) for Stream Water Temperature to Enhance Water Quality Predictions in NOAA's Next Generation Water Resources Modeling Framework

Our CISESS Seed Grant Project will develop a Basic Model Interface (BMI) for stream water temperature modules, enabling seamless integration with NOAA’s NextGen framework. Key objectives include: • Developing a BMI that enables integration of the stream water temperature model with the NextGen platform. • Conducting rigorous testing and validation of the BMI to ensure model accuracy and reliability. • Providing real-time predictions of stream temperature dynamics.

Downscaling of vegetation products

Apr 14, 2025 11:06 AM

CISESS Seed Grant: Developing High Spatiotemporal Resolution Vegetation Datasets from Multi-Sensor Satellite Observations for Enhanced Ecological and Agricultural Monitoring

This seed grant project focuses on balancing the spatial resolution of LEO satellites and the temporal resolution of GEO satellites to daily high-resolution vegetation datasets (10–30m). We will use a pre-calibrated Look-Up Tables for seamless integration of satellite observations and a a framework ready for operational deployment, aligning with NOAA's mission to deliver actionable Earth observation data.

Results: 138 Articles found.

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