U.S. Department of the Interior

This study demonstrates the value of information (VOI) of moderate-resolution land imagery (MRLI)—which mostly includes Landsat imagery—using a case study of agricultural production and preservation of groundwater resources in the agricultural State of Iowa. The MRLI is used widely in several sectors; however, the societal value of the operational application of the scientific information provided by MRLI has not been quantified. In the analysis here, we use an integrated assessment approach (IAA) in the context of public health to estimate the value of MRLI.

An Economic Value of Remote-Sensing Information Application to Agricultural Production and Maintaining Groundwater Quality

Several common methods for measuring suspended-sediment concentration in rivers in the United States use depthintegrating samplers to collect a velocity-weighted suspended sediment sample in a subsample of a river cross section. Because depth-integrating samplers are always moving through the water column as they collect a sample, and can collect only a limited volume of water and suspended sediment, they collect only minimally time averaged data. Four sources of error exist in the field use of these samplers: (1) bed contamination, (2) pressure-driven inrush, (3) inadequate sampling of the crossstream spatial structure in suspended-sediment concentration, and (4) inadequate time averaging. The first two of these errors arise from misuse of suspended-sediment samplers, and the third has been the subject of previous study using data collected in the sand-bedded Middle Loup River in Nebraska. Of these four sources of error, the least understood source of error arises from the fact that depth-integrating samplers collect only minimally time-averaged data.

Field Evaluation of the Error Arising from Inadequate Time Averaging in the Standard Use of Depth-Integrating Suspended-Sediment Samplers

Funded by the 2009 American Recovery and Reinvestment Act (ARRA), we conducted geophysical site characterizations at 191 strong-motion stations: 187 in California and 4 in the Central-Eastern United States (CEUS). The geophysical methods used at each site included passive and active surface-wave and body-wave techniques. Multiple techniques were used at most sites, with the goal of robustly determining VS (shear-wave velocity) profiles and VS30 (the time-averaged shear-wave velocity in the upper 30 meters depth).

Arra-Funded VS30 Measurements Using Multi-Technique Approach at Strong-Motion Stations in California and Central-Eastern United States

White House

The new climate policy of the United States was introduced when President Donald Trump signed an Executive order on "Promoting Energy Independence and Economic Growth" on March 28th 2017. This Order completely annulets climate policy of the former President Barack Obama. Get a direct insight in a complete climate policy and plans of Barack Obama, together with the changes made by the new President. This collection will display the straightforward impartial information through the concrete government documents and legislation. Contents: Barack Obama's Climate Policies: Climate and Energy Accomplishment Barack Obama's Climate Action Plan Discretionary Programmatic Environmental Impact Statement to Modernize the Federal Coal Program Executive Orders: Preparing the United States for the Impacts of Climate Change Planning for Federal Sustainability in the Next Decade Presidential Memorandum: Climate Change and National Security Paris Agreement Donald Trump's Climate Policies: Executive Order: Promoting Energy Independence and Economic Growth Remarks by President Trump at Signing of Executive Order to Create Energy Independence

A Review of the New Presidential Orders as Opposed to the Legacy of the Former President

U.S. Climate Policy: Change of Power = Change of Heart - New Presidential Order vs. Laws & Actions of the Former President

The Strategic Plan for the U.S. Geological Survey Bio-logical Informatics Program (2005–2009) recognizes the need for effective data management:Though the Federal government invests more than $600 million per year in biological data collection, it is difficult to address these issues because of limited accessibility and lack of standards for data and information...variable quality, sources, methods, and formats (for example observations in the field, museum specimens, and satellite images) present additional challenges. This is further complicated by the fast-moving target of emerging and changing technologies such as GPS and GIS. Even though these technologies offer new solutions, they also create new informatics challenges (Ruggiero and others, 2005).

U.S. Department of the Interior

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