Pages that link to "Item:Q164037"

The following pages link to Wells Dean Hively, Phd (Q164037):

Displayed 34 items.

• Agricultural conservation practice implementation in the Chesapeake Bay watershed supported by the U.S. Department of Agriculture (Q57280) ‎ (← links)
• Integrating Federal and State data records to report progress in establishing agricultural conservation practices on Chesapeake Bay farms (Q60695) ‎ (← links)
• Sentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurements (Q146539) ‎ (← links)
• Potential pollutant sources in a Choptank River (USA) subwatershed and the influence of land use and watershed characteristics (Q147496) ‎ (← links)
• Mapping crop residue by combining Landsat and WorldView-3 satellite imagery (Q149278) ‎ (← links)
• Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment (Q150074) ‎ (← links)
• Remote sensing evaluation of winter cover crop springtime performance and the impact of delayed termination (Q150239) ‎ (← links)
• Optimizing Landsat Next shortwave infrared bands for crop residue characterization (Q150356) ‎ (← links)
• Metolachlor metabolite (MESA) reveals agricultural nitrate-N fate and transport in Choptank River watershed (Q154700) ‎ (← links)
• Strategies for soil quality assessment using VNIR gyperspectral spectroscopy in a western Kenya Chronosequence (Q245504) ‎ (← links)
• Use of airborne hyperspectral imagery to map soil parameters in tilled agricultural fields (Q250366) ‎ (← links)
• Relating nutrient and herbicide fate with landscape features and characteristics of 15 subwatersheds in the Choptank River watershed (Q251470) ‎ (← links)
• Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed (Q253137) ‎ (← links)
• Estimating the effect of winter cover crops on nitrogen leaching using cost-share enrollment data, satellite remote sensing, and Soil and Water Assessment Tool (SWAT) modeling (Q253184) ‎ (← links)
• Fluxes of agricultural nitrogen and metolachlor metabolites are highly correlated in a first order stream in Maryland, USA (Q253185) ‎ (← links)
• A within-season approach for detecting early crop stage of corn and soybean using high temporal and spatial resolution imagery (Q253186) ‎ (← links)
• Detecting cover crop end-of-season using VENµS and sentinel-2 satellite imagery (Q266615) ‎ (← links)
• Integration of satellite-based optical and synthetic aperture radar imagery to estimate winter cover crop performance in cereal grasses (Q272685) ‎ (← links)
• Remote sensing with simulated unmanned aircraft imagery for precision agriculture applications (Q272695) ‎ (← links)
• Atmospheric correction intercomparison of hyperspectral and multispectral imagery over agricultural study sites (Q275884) ‎ (← links)
• Mapping crop residue and tillage intensity using WorldView-3 satellite shortwave infrared residue indices (Q281199) ‎ (← links)
• Comparing NISAR (using Sentinel-1), USDA/NASS CDL, and ground truth crop/non-crop areas in an urban agricultural region (Q283451) ‎ (← links)
• Advances in spectroscopic methods for quantifying soil carbon (Q285033) ‎ (← links)
• Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change using the SWAT model (Q293688) ‎ (← links)
• Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA (Q310312) ‎ (← links)
• Intercomparison of same-day remote sensing data for measuring winter cover crop biophysical traits (Q313485) ‎ (← links)
• Evaluation of SWIR crop residue bands for the Landsat Next mission (Q314192) ‎ (← links)
• Terrestrial lidar data of debris-flow sediment in Glenwood Canyon, CO, 2021 (Q318042) ‎ (← links)
• Row crop and cover crop residue spectra from lab spectrometer and spaceborne PRISMA imagery, Maryland, USA.,2006; 2021-2022. U.S. Geological Survey Data Release. (Q318044) ‎ (← links)
• Remote sensing and field data supporting the analysis of Maryland winter cover crop performance, 2019-2021 (Q318045) ‎ (← links)
• Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover (ver. 1.1, November 2022) (Q324993) ‎ (← links)
• Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics (Q326331) ‎ (← links)
• WorldView-3 satellite imagery and crop residue field data collection, Talbot County, MD, May 2015 (Q329075) ‎ (← links)
• Datasets related to crop residue, irrigation, and shortwave infra-red (SWIR) spectral reflectance, Talbot County, MD, May 2015 (Q329231) ‎ (← links)