Index for hay_

Hay, C. * 2012: Estimation of Evapotranspiration from Fields with and without Cover Crops Using Remote Sensing and in situ Methods

Hay, D.A. * 1991: Determining a Maximum Value Yield of a Log Using an Optical Log Scanner

Hay, D.R. * 1994: Feature-Selection Using A Proximity-Index Optimization Model

Hay, E.[Eric] * 2024: Validating Digital Earth Australia NBART for the Landsat 9 Underfly of Landsat 8

Hay, G. * 2006: Object-based image analysis: strengths, weaknesses, opportunities and threats (SWOT)
* 2010: Reducing the effects of misregistration and sun-surface-sensor geometry on the detection of forest harvest cut-blocks
* 2010: Using support vector regression and segmentation to estimate forest height, biomass and volume from LiDAR transects and Quickbird imagery
Includes: Hay, G. Hay, G.[Geoffrey]

Hay, G.G.[Geoffrey G.] * 2008: Size-constrained Region Merging (SCRM): An Automated Delineation Tool for Assisted Photointerpretation

Hay, G.J. * 1997: Spatial Thresholds, Image-Objects, and Upscaling: A Multiscale Evaluation
* 2003: comparison of three image-object methods for the multiscale analysis of landscape structure, A
* 2008: Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications
* 2010: GEOBIA Approach to Estimate Large Area Forest Canopy Height Using LIDAR Transects and Quickbird Imagery, A
* 2010: HEAT: Home Energy Assessment Technologies: a web based system for residential waste heat analysis using airborne thermal imagery
* 2010: Heat: Home Energy Assessment Technologies: A WEB2.0 Residential Waste Heat Analysis Using Geobia and Airborne Thermal Imagery
* 2010: Optical and SAR Imagery for Mapping Vegetation Gradients in Brazilian Savannas: Synergy Between Pixel-Based and Object-Based Approaches
* 2011: Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems: An Overview
* 2014: Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery, An
* 2014: Geographic Object-Based Image Analysis: Towards a New Paradigm
* 2014: Supporting Urban Energy Efficiency with Volunteered Roof Information and the Google Maps API
* 2014: Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines
* 2015: comparison of four relative radiometric normalization (RRN) techniques for mosaicing H-res multi-temporal thermal infrared (TIR) flight-lines of a complex urban scene, A
* 2018: Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops
* 2019: GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data
* 2020: Geographic Object-Based Image Analysis: A Primer and Future Directions
Includes: Hay, G.J. Hay, G.J.[Geoffrey J.]
16 for Hay, G.J.

Hay, L.[Lauren] * 2019: Gravity Recovery and Climate Experiment (GRACE) Storage Change Characteristics (2003-2016) over Major Surface Basins and Principal Aquifers in the Conterminous United States

Hay, P.J.[Peter J.] * 1998: Image analysis for meat
* 2000: Image analysis for meat

Hay, S.I.[Simon I.] * 2014: effective approach for gap-filling continental scale remotely sensed time-series, An

Index for "h"


Last update: 6-May-24 16:26:51
Use price@usc.edu for comments.