Timothy A. Warner
Timothy A. Warner
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Cited by
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Implementation of machine-learning classification in remote sensing: An applied review
AE Maxwell, TA Warner, F Fang
International Journal of Remote Sensing 39 (9), 2784-2817, 2018
Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America
T Brandtberg, TA Warner, RE Landenberger, JB McGraw
Remote sensing of Environment 85 (3), 290-303, 2003
A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a temperate hardwood forest
T Key, TA Warner, JB McGraw, MA Fajvan
Remote Sensing of Environment 75 (1), 100-112, 2001
Pursuing social goals through participatory GIS: redressing South Africa’s historical political ecology
TM Harris, D Weiner, TA Warner, R Levin
Ground truth: The social implications of geographic information systems, 196-222, 1995
Forest type mapping using object-specific texture measures from multispectral Ikonos imagery: Segmentation quality and image classification issues
M Kim, M Madden, TA Warner
Photogrammetric Engineering and Remote Sensing 75 (7), 819-829, 2009
Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects
M Kim, TA Warner, M Madden, DS Atkinson
International Journal of Remote Sensing 32 (10), 2825-2850, 2011
Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
M Kim, M Madden, T Warner
Object-based image analysis, 291-307, 2008
Kernel-based extreme learning machine for remote-sensing image classification
M Pal, AE Maxwell, TA Warner
Remote Sensing Letters 4 (9), 853-862, 2013
Apartheid representations in a digital landscape: GIS, remote sensing and local knowledge in Kiepersol, South Africa
D Weiner, TA Warner, TM Harris, RM Levin
Cartography and Geographic Information Systems 22 (1), 30-44, 1995
Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification
AE Ramezan, C.A., Warner, T.A., and Maxwell
Remote Sensing 11 (2), 185, 2019
Integrating visible, near-infrared and short-wave infrared hyperspectral and multispectral thermal imagery for geological mapping at Cuprite, Nevada
X Chen, TA Warner, DJ Campagna
Remote Sensing of Environment 110 (3), 344-356, 2007
The SAGE Handbook of Remote Sensing: Concise Student Edition
TA Warner, GM Foody, MD Nellis
The SAGE Handbook of Remote Sensing, 1-568, 2009
Change detection accuracy and image properties: a study using simulated data
A Almutairi, TA Warner
Remote Sensing 2 (6), 1508-1529, 2010
Multi-scale linkages between topographic attributes and vegetation indices in a mountainous landscape
Y Deng, X Chen, E Chuvieco, T Warner, JP Wilson
Remote Sensing of Environment 111 (1), 122-134, 2007
Using Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China
GX Zhao, G Lin, T Warner
International Journal of Remote Sensing 25 (13), 2509-2522, 2004
A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data
Y He, E Lee, TA Warner
Remote Sensing of Environment 199, 201-217, 2017
Delineation and identification of individual trees in the eastern deciduous forest
T Warner
Proceedings of the international forum on automated interpretation of high …, 1999
Spatial autocorrelation analysis of hyperspectral imagery for feature selection
TA Warner, MC Shank
Remote Sensing of Environment 60 (1), 58-70, 1997
Assessing machine-learning algorithms and image-and lidar-derived variables for GEOBIA classification of mining and mine reclamation
AE Maxwell, TA Warner, MP Strager, JF Conley, AL Sharp
International Journal of Remote Sensing 36 (4), 954-978, 2015
Does spatial resolution matter? A multi-scale comparison of object-based and pixel-based methods for detecting change associated with gas well drilling operations
BA Baker, TA Warner, JF Conley, BE McNeil
International journal of remote sensing 34 (5), 1633-1651, 2013
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