-
Sea Level Rise Extent, 2 Feet Above Average High Tide (NOAA)
This layer depicts ocean-connected sea level rise for 2 feet above Mean Higher High Water, which represents the average high tide level at the current sea level. It shows both... -
Sea Level Rise Extent, 1.5 Feet Above Average High Tide (NOAA)
This layer depicts ocean-connected sea level rise for 1.5 feet above Mean Higher High Water, which represents the average high tide level at the current sea level. It shows both... -
Sea Level Rise Extent, 1 Feet Above Average High Tide (NOAA)
This layer depicts ocean-connected sea level rise for 1 foot above Mean Higher High Water, which represents the current average high tide level. It shows both how far the water... -
Sea Level Rise Extent, 0.5 Feet Above Average High Tide (NOAA)
This layer depicts ocean-connected sea level rise for 0.5 feet above Mean Higher High Water, which represents the current average high tide level. It shows both how far the... -
Sea Level Rise Extent, 0 Feet Above Average High Tide (NOAA)
This layer depicts ocean-connected sea level rise for 0 feet above Mean Higher High Water, which represents the current average high tide level. The data is sourced from NOAA’s... -
Watershed Boundaries, 8 unit (NRCS)
This layer shows the 8-digit Hydrologic Unit Code (HUC-8) boundaries for Maryland, representing subbasin-level drainage areas. These boundaries define the surface water drainage... -
Maryland Hyper-Resolution Hydrography Agricultural Ditches (USGS)
This layer shows mapped agricultural ditches within Maryland, capturing human-made drainage features used to manage water on agricultural lands. The data represent the spatial... -
Land Use Classification (USGS NLCD 2019 30m)
This layer displays land cover classifications across Maryland as of 2019 at a resolution of 30 meters. The data provides a detailed representation of land use and cover... -
Stream Order (Derived from Bare Earth DEM 10m)
This layer depicts the stream order across Maryland, derived from the Bare Earth Digital Elevation Model (DEM) at at a 10 meter resolution using hydrological modeling... -
Top 10 Crops 2023 (USDA NASS CDL 30m)
This layer shows the primary cropland areas and crop types for the top 10 crops in Maryland, as classified by the 2023 USDA NASS Cropland Data Layer (CDL). The data represent... -
Top 10 Crops 2013 to 2023 Average (USDA NASS CDL 30m)
This layer shows the primary cropland areas and crop types for the top 10 crops in Maryland, averaged over the 2013 to 2023 period, as classified by the USDA NASS Cropland Data... -
Primary Cropland Area 2023 (USDA NASS CDL 30m)
This layer shows the primary cropland areas for the top 10 crops in Maryland, as classified by the 2023 USDA NASS Cropland Data Layer (CDL). The data represent the spatial... -
Maryland Counties (USDA NRCS 2015)
This layer shows the USDA NRCS administrative boundaries at the county level within the state of Maryland.- Source: United States Department of Agriculture (USDA)...
-
Salinity Trends
Statistical information regarding analysis of long-term salinity trends at stations throughout Chesapeake Bay and its tidal tributaries. Data are from Kaushal et al. (2025) and... -
Regional Atmospheric Measurement, Modeling and Prediction Program (RAMMPP)
At the University of Maryland, College Park (UMD) we are developing a state-of-the-art scientific research tool aimed at a more informed understanding of the influences... -
Hydronet
Hydronet provides real-time environmental data collected from various sensors and partner networks. Please note that the data is automatically transmitted and may contain... -
Climate-Smart Agriculture
The Climate Resilience Network seeks to promote climate-resilient agriculture in Maryland. To do this, we developed the Maryland Climate Impact Dashboard to showcase (1) the... -
UMD Micronet
Each Mesoterps station is a Davis Vantage Pro2 weather station, equipped with sensors that measure temperature, humidity, wind speed and direction, barometric pressure, and... -
Live Mesonet Data
The parameters are sampled every 3 seconds and processed every minute by the on-site datalogger. The data is transmitted to the Mesonet server at the University of Maryland via...