Overview of Sayact Publications

This article provides an overview of Sayact publications, including educational resources, science activation teams, expert maps, opportunities, science stories, and highlights of science activation achievements and citizen science.

Overview

Sayact offers a variety of publications covering a wide range of scientific topics. These publications include research and studies that address topics such as predicting large fires using machine learning, environmental remote sensing, atmospheric reanalysis data, monitoring invasive and endemic mosquitoes using the Global Mosquito Monitoring Project, employing citizen science to tackle the threat of Anopheles stephensi in Africa, land cover classification using multiple participant viewpoints, developing low-cost environmental monitoring devices for the GLOBE program, visualizing life on Earth using 3D technology, predicting mosquito breeding sites using climate forecasts and deep machine learning, visualizing stars using 3D data from NASA, visualizing solar storms in real-time using heliophysics data, classifying land use and land cover using deep learning fusion models, integrating global citizen science platforms for monitoring invasive and endemic mosquitoes, and using citizen science data to complement tree height measurements by satellite and aerial LiDAR, visualizing outer space using 3D data from NASA, visualizing storms using radar and aerial imagery, visualizing marine life using remote sensing and aerial photography, visualizing thunderstorms using lightning data, visualizing aerial space using satellite and radar data, visualizing solar storms using heliophysics data, and visualizing weather storms using radar and aerial imagery, and so on.

Source: https://science.nasa.gov/learn/publications/