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Water Resources of the United States

    Water is one of six science mission areas of the U.S. Geological Survey (USGS). Water's mission is to collect and disseminate reliable, impartial, and timely information that is needed to understand the Nation's water resources. This database contains downloadable water-related spatial data files for exploration and analysis.

    Northern Region (Region 1) Geospatial Data

      The Northern Region (R1) of the U.S. Forest Service uses ArcGIS Online to share maps, data, and applications for use by other federal agencies, partners, and the public. This gallery displays some of the web map applications developed by the Region and our Forests.

      Rocky Mountain Region (Region 2) Geospatial Data

        Our geographic area of responsibility covers Colorado, Kansas, Nebraska, South Dakota, and Wyoming. The datasets presented here are derived from the USFS Land Status Records System (LSRS) and the USFS infrastructure database (Infra), and other current projects of a region wide nature, then processed using ArcMap and Google™ Earth Pro.

        Wind Erosion Prediction System (WEPS)

          This site provides access to the WEPS software version used for official purposes by NRCS field offices and Technical Service providers. NRCS developed and maintains the components of the WEPS Databases and information on this site. The USDA-Agricultural Research Service is the lead agency for developing the science in the WEPS model and the model interface. WEPS predicts many forms of soil erosion by wind such as saltation-creep and suspension including PM-10.

          Early Detection Rapid Response Database

            Non-native bark and ambrosia beetles are a serious threat to our nation’s urban and rural forests. In 2007, Forest Health Protection began implementation of an early detection and rapid response project for non-native bark and ambrosia beetles. An Early Detection and Rapid Response (EDRR) Team (consisting of Forest Service, APHIS, university and state representatives) has developed a framework for implementing a national, interagency detection, monitoring, and response system for these insects. This framework involves the cooperation of state partners, regional taxonomists and regional Forest Service staff. Participating states will be responsible for following project protocols with funding from the Forest Service.

            Drainage Index and Productivity Index

              This website is designed to help you calculate the Drainage Index (DI) and Productivity Index (PI) of all soils that are classified within the US system of Soil Taxonomy. These data aid in the identification of areas at risk to various forest insects and diseases because of their ability to identify regions of potential tree stress.

              Forest Health Protection Mapping and Reporting

                Welcome to the US Forest Service, forest insect and disease reporting portal. The applications below access a myriad of state, county and local level forest insect and disease conditions data. In addition we offer a window into near real time forest disturbance information collected from space. Data input applications are restricted to cooperators with specific training and expertise.

                Rocky Mountain Research Station Air, Water, & Aquatic Environments Program

                  The Air, Water, and Aquatic Environments (AWAE) research program is one of eight Science Program areas within the Rocky Mountain Research Station (RMRS). Our science develops core knowledge, methods, and technologies that enable effective watershed management in forests and grasslands, sustain biodiversity, and maintain healthy watershed conditions.

                  USDA Plants Database API in R

                    The USDA maintains a database of plant information - [USDA Plants Database](http://plants.usda.gov/java/) - containing trait data, some of its life history. This resource is an independently created RESTful API for that data. The API, and open issues for bugs/feature requests can be found in the GitHub repository. This tool can be used from the command line, R, Ruby, Python, a browser, etc.