The Connecticut Agricultural Experiment Station (CAES) Office of Aquatic Invasive Species (OAIS) has surveyed over 260 waterbodies across Connecticut since 2004 to document native and invasive aquatic plant species. This extensive data collection aims to map species locations and abundances, track the spread of invasives, and monitor changes in aquatic plant communities over time. These data are crucial for lake associations, lake management consultants, and government officials in managing aquatic invasive species and preventing their spread.
The goals of this project were to enhance public access to the data and transform the way OAIS communicates information with the public using ArcGIS Experience Builder. Achieving these goals required a comprehensive overhaul of the data management system. In this session, you will learn about the necessity of the project, its implementation, and the challenges encountered along the way.
Climate change has impacted forest growing season length, streamflow quantity, and the intersections of complex forest hydrologic processes. This research explores the geospatial hydrology and forest phenology (e.g. growing season length) change points throughout the Mid-Atlantic region of the United States from 1982-2012. Gridded NDVI data were obtained from NOAA AVHRR satellite imagery and analyzed to determine the growing season length. Hydrology datasets and watershed boundaries were extracted from the USGS HCDN (Hydro Climatic Data Network) dataset, which consists of exclusively natural (non-anthropogenically impacted) watersheds. Hydrology and phenology variables in each watershed were analyzed to determine the year(s) that a change point occurred and to determine the temporal duration between a mean shift in growing season phenology and watershed hydrology.
Assistant Professor of Geography, Penn State University
Brandi Gaertner is a climate change hydrologist in the Master of GIS and Spatial Data Science program at Penn State University. Her research focuses on understanding the impact of climate change on streamflow quantity using multivariate regression, machine learning, and statistical... Read More →
Of all the resource areas protected by the Massachusetts Wetland Protection Act, coastal bank is particularly challenging to define. The authors propose a GIS-based approach using the Spatial Analyst extension, to be presented with a case study.
