Data and Tools
WaterWatch - Retrieve Summary of 7-day Flow Conditions for New York. Interactive Drought Table assists in assessing current hydrologic drought conditions.
GeoMAC is an internet-based mapping application designed to allow Fire Managers and the Public access to dynamically displayed online maps of current fire locations and fire perimeters in the continental U.S. and Alaska. The GeoMAC application is an indispensable tool for aiding fire-personnel by dynamically displaying the most current forest-fire information available from a web browser.
Current New York Water Conditions
New York Hydrologic Conditions Mapper: (1) Streamflow conditions (2) Groundwater conditions (3) Precipitation (4) Precipitation departure from normal (5) NYC Water Supply System Status. In addition, historical monthly conditions reports and seasonal condition maps are also available.
The layers within this geodataset describe physical habitat characteristics in the North and South Fork Shenandoah rivers. They represent conditions during summer low-flow periods when canoeing was possible.The data are derived from GPS field surveys and GIS editing to commplete habitat units around islands or river bends.
Peak Streamflow for the Nation
Community exposure in California to coastal flooding hazards enhanced by climate change, reference year 2010
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for San Francisco Bay and coastal communities of the state of California, USA. This data is viewable on HERA.
Spatial/GIS data sets
Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects - 2012 Update
Models based upon coastal engineering equations have been developed to quantify wind fetch length and several physical wave characteristics including significant height, length, peak period, maximum orbital velocity, and shear stress.
This viewer provides visualization for and accessibility to USGS lidar data obtained following Hurricane Sandy (October 2012). Access and download data and publications that include the source lidar data and the coastal dune and shoreline data needed to examine coastal change and erosion hazards.
Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011
This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA.