9 Environmental sampling and monitoring. - Stephen V. Stehman; W. Scott Overton (Environmental Statistics, 1994)

Design, analysis, and inference for studies comparing thematic accuracy of classified remotely sensed data: a special case of map comparison. - Stephen V. Stehman (J. Geogr. Syst., 2006)

Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia. - Mark Broich; Matthew C. Hansen; Peter Potapov; Bernard Adusei; Erik J. Lindquist; Stephen V. Stehman (Int. J. Appl. Earth Obs. Geoinformation, 2011)

A Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005. - Namita Giree; Stephen V. Stehman; Peter Potapov; Matthew C. Hansen (Remote. Sens., 2013)

Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products. - Marc Padilla; Stephen V. Stehman; Javier Litago; Emilio Chuvieco (Remote. Sens., 2014)

Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan. - Ahmad Khan; Matthew C. Hansen; Peter V. Potapov; Bernard Adusei; Amy Pickens; Alexander Krylov; Stephen V. Stehman (Remote. Sens., 2018)

Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories. - Ronald E. McRoberts; Erik Næsset; Christophe Sannier; Stephen V. Stehman; Erkki Tomppo (Remote. Sens., 2020)

Identifying Factors That Influence Accuracy of Riparian Vegetation Classification and River Channel Delineation Mapped Using 1 m Data. - Ge Pu; Lindi J. Quackenbush; Stephen V. Stehman (Remote. Sens., 2021)

Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. - Lucas K. Johnson; Michael J. Mahoney; Eddie Bevilacqua; Stephen V. Stehman; Grant M. Domke; Colin M. Beier (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Shrub willow canopy chlorophyll content estimation from unmanned aerial systems (UAS) data: Estimation and uncertainty analysis across time, space, and scales. - Jin Xu; Lindi J. Quackenbush; Timothy A. Volk; Stephen V. Stehman (Int. J. Appl. Earth Obs. Geoinformation, 2022)

High-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. - Lucas K. Johnson; Michael J. Mahoney; Eddie Bevilacqua; Stephen V. Stehman; Grant M. Domke; Colin M. Beier (CoRR, 2022)