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1. Hubbard Brook Experimental Forest: Hyperspectral Reflectance Imagery, August 2012

   https://doi.org/10.6073/pasta/ba356a0c3892a7bb9e624f25939ec3b5  

   Ollinger, Scott; Lepine, Lucie (January 2021, Environmental Data Initiative)

   Airborne remote sensing data were acquired specifically for the EPSCoR NH Ecosystems and Society project to provide vegetation biometric and land surface optical properties at the landscape-scale. Data were acquired for targeted field sites that include the Lamprey River Watershed, the Hubbard Brook Experimental Forest and the Bartlett Experimental Forest, where soil and aquatic sensors are deployed and intensive field sample plots have been established to measure a range of vegetation and land surface properties. Two image data collection campaigns were deployed—one in summer (August 2012) to capture peak growing season conditions in the state, and one in winter (Feb/March 2013). This data package contains the flightlines for Hubbard Brook. Data are georegistered and atmospherically corrected to surface reflectance for August 7, 2012. 

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2. Hubbard Brook Experimental Forest: Hyperspectral Reflectance Imagery, February 2013

   https://doi.org/10.6073/pasta/5e32955846038c818e639088dc48cfc3  

   Ollinger, Scott; Lepine, Lucie (January 2021, Environmental Data Initiative)

   Airborne remote sensing data were acquired specifically for the EPSCoR NH Ecosystems and Society project to provide vegetation biometric and land surface optical properties at the landscape-scale. Data were acquired for targeted field sites that include the Lamprey River Watershed, the Hubbard Brook Experimental Forest and the Bartlett Experimental Forest, where soil and aquatic sensors are deployed and intensive field sample plots have been established to measure a range of vegetation and land surface properties. Two image data collection campaigns were deployed—one in summer (August 2012) to capture peak growing season conditions in the state, and one in winter (Feb/March 2013). This data package contains the flightlines for Hubbard Brook. Data are georegistered and atmospherically corrected to surface reflectance for February 22, 2013. 

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3. Hubbard Brook Experimental Forest: Hyperspectral Reflectance Imagery, March 2013

   https://doi.org/10.6073/pasta/fa9295b94c01ed53828ad87a11091ebb  

   Ollinger, Scott; Lepine, Lucie (January 2021, Environmental Data Initiative)

   Airborne remote sensing data were acquired specifically for the EPSCoR NH Ecosystems and Society project to provide vegetation biometric and land surface optical properties at the landscape-scale. Data were acquired for targeted field sites that include the Lamprey River Watershed, the Hubbard Brook Experimental Forest and the Bartlett Experimental Forest, where soil and aquatic sensors are deployed and intensive field sample plots have been established to measure a range of vegetation and land surface properties. Two image data collection campaigns were deployed—one in summer (August 2012) to capture peak growing season conditions in the state, and one in winter (Feb/March 2013). This data package contains the flightlines for Hubbard Brook. Data are georegistered and atmospherically corrected to surface reflectance for March 9, 2013. 

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4. BRIDGING THE GAP BETWEEN POLICY, PRACTICE, AND ACADEMIA: Unleashing Social Innovation and Entrepreneurship for Societal Benefit

   https://doi.org/DOI: 10.13140/RG.2.2.32704.33284  

   Robinson, Jeffrey A.; Dougherty, Deborah (January 2014, NSF Workshop)

   This report presents the findings of a workshop on social innovation funded by the National Science Foundation under Grant No. SMA-1240596. The workshop took place August 27-28, 2013 at Rutgers Business School in Newark, New Jersey. The workshop that explored the intersection of the social, behavioral, and economic sciences and social policy and entrepreneurship. The goal was to develop a research agenda in social innovation and establish collaborative arrangements to build bridges between knowledge creators and practitioners. A research agenda is presented and recommendations are made for future work in social innovation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation 

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5. The Importance of Scale‐Dependent Groundwater Processes in Land‐Atmosphere Interactions Over the Central United States

   https://doi.org/10.1029/2020GL092171  

   Barlage, Michael; Chen, Fei; Rasmussen, Roy; Zhang, Zhe; Miguez‐Macho, Gonzalo (March 2021, Geophysical Research Letters)

   Abstract This study explores the impacts of groundwater processes on the simulated land‐surface water balance and hydrometeorology. Observations are compared to multiscale Weather Research and Forecasting (WRF) simulations of three summer seasons: 2012, 2013, and 2014. Results show that a grid spacing of 3 km or smaller is necessary to capture small‐scale river and stream networks and associated shallow water tables, which supplies additional root‐zone water double that of simulations with 9‐km and 27‐km grid spacing and is critical to replenishing the depleted vegetation root zones and leads to 150 mm more evapotranspiration. Including groundwater processes in convection‐permitting models is effective to reduce: (1) 2‐m temperature warm biases from 5–6 to 2–3 °C and (2) the low precipitation bias by half. The additional groundwater supply to active soil flux in convection‐permitting simulations with groundwater for June‐August is nearly translated into the same amount of increased precipitation in the domain investigated. 

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