Kustas, W.
* 2012: Data Mining Approach for Sharpening Thermal Satellite Imagery over Land, A
* 2018: Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing
* 2019: Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta
* 2020: Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards
* 2021: Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project
* 2022: Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem
* 2023: Evaluation of Partitioned Evaporation and Transpiration Estimates within the DisALEXI Modeling Framework over Irrigated Crops in California
Includes: Kustas, W. Kustas, W.[William]
7 for Kustas, W.
Kustas, W.P.[William P.]
* 2000: Evaluating the Effects of Subpixel Heterogeneity on Pixel Average Fluxes
* 2013: Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield
* 2015: Using the Surface Temperature-Albedo Space to Separate Regional Soil and Vegetation Temperatures from ASTER Data
* 2017: Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards
* 2018: II: Integration of Remote Sensing Medium and Low Spatial Resolution Satellite Images
* 2018: Modeling Surface Energy Fluxes over a Dehesa (Oak Savanna) Ecosystem Using a Thermal Based Two-Source Energy Balance Model (TSEB) I
* 2019: Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales
* 2019: Evaluation of TsHARP Utility for Thermal Sharpening of Sentinel-3 Satellite Images Using Sentinel-2 Visual Imagery
* 2019: Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models
* 2019: Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard
* 2019: Using Very High Resolution Thermal Infrared Imagery for More Accurate Determination of the Impact of Land Cover Differences on Evapotranspiration in an Irrigated Agricultural Area
* 2020: Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China
* 2020: Surface Energy Flux Estimation in Two Boreal Settings in Alaska Using a Thermal-Based Remote Sensing Model
* 2020: Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard
* 2021: Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard
* 2021: Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management
* 2021: Mapping Daily Evapotranspiration at Field Scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy
* 2023: ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards
18 for Kustas, W.P.
Kuster, C.
* 2012: Towards next generation 3D teleconferencing systems
Kuster, D.[Dennis]
* 2023: Teardrops on My Face: Automatic Weeping Detection From Nonverbal Behavior
Includes: Kuster, D.[Dennis] Küster, D.[Dennis] (Maybe also Kuester, D.)
Kuster, M.W.[Marc Wilhelm]
* 2011: Four and a Half Challenges of Humanities Data, The
Kusters Vandevelde, H.
* 2019: From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Includes: Kusters Vandevelde, H. Küsters-Vandevelde, H. (Maybe also Kuesters-Vandevelde, H.)
Kusters, L.
* 2014: Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes
* 2017: Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes
Kusters, R.
* 2002: linear model for simultaneous estimation of 3D motion and depth, A
Kustiyanto, E.
* 2012: Evaluation of ASTER GDEM2 in Comparison with GDEM1, SRTM DEM and Topographic-Map-Derived DEM Using Inundation Area Analysis and RTK-dGPS Data
Kustiyo
* 2018: Automated method for measuring the extent of selective logging damage with airborne LiDAR data
Kustner, T.
* 2016: MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo
* 2018: Semantic Organ Segmentation in 3D Whole-Body MR Images
* 2021: Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
* 2021: LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging
* 2023: Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
Includes: Kustner, T. Küstner, T. (Maybe also Kuestner, T.)Küstner, T.[Thomas] (Maybe also Kuestner, T.)
Kustra, J.[Jacek]
* 2013: Surface and Curve Skeletonization of Large 3D Models on the GPU
* 2016: Computing refined skeletal features from medial point clouds
Kustra, R.
* 2001: Penalized discriminant analysis of 15-O-water PET brain images with prediction error selection of smoothness and regularization hyperparameters