Jornada Bibliography
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2020. A Decision Support System for Incorporating Land Potential Information in the Evaluation of Restoration Outcomes. Ecological Restoration. 38(2):94-104.
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2013. Discovering ecologically relevant knowledge from published studies through geosemantic searching. BioScience. 63(8):674-682.
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2014. A double-sampling approach to deriving training and validation data for remotely-sensed vegetation products. International Journal of Remote Sensing. 35(5):1936-1955.
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2016. Effect of spatial image support in detecting long-term vegetation change from satellite time-series. Landscape Ecology. (31):2045-2062.
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2015. Emerging technological and cultural shifts advancing drylands research and management. Frontiers in Ecology and the Environment. 13(1):52-60.
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2017. Enhancing wind erosion monitoring and assessment for US rangelands. Rangelands. 39:85-96.
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2020. Evaluation of the automated reference toolset as a method to select reference plots for oil and gas reclamation on Colorado Plateau rangelands. Journal of Environmental Management. 265
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2017. Fine-Resolution Repeat Topographic Surveying of Dryland Landscapes Using UAS-Based Structure-from-Motion Photogrammetry: Assessing Accuracy and Precision against Traditional Ground-Based Erosion Measurements. Remote Sensing . 9(5):1-24.
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2017. Fine-Resolution Repeat Topographic Surveying of Dryland Landscapes Using UAS-Based Structure-from-Motion Photogrammetry: Assessing Accuracy and Precision against Traditional Ground-Based Erosion Measurements. Remote Sensing. 9:437
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2013. Geographic searching for ecological studies: A new frontier. Trends in Ecology and Evolution. 28(7):383-384.
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2021. Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems. Remote Sensing in Ecology and Conservation.
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2013. The global land-potential knowledge system (LandPKS): Supporting evidence-based, site-specific land use and management through cloud computing, mobile applications, and crowdsourcing. Journal of Soil and Water Conservation. 68(1):5A-12A.
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2012. A holistic strategy for adaptive land management. Journal of Soil and Water Conservation. 67(4):105A-113A.
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2021. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. Methods in Ecology and Evolution. 12(5):841-846.
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2020. Indicators and benchmarks for wind erosion monitoring, assessment and management. Ecological Indicators. 110(105881)
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2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type percent cover maps for U.S. rangelands, 1984–2017. Ecosphere. 9(9):1-19.
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2017. Integrating remotely-sensed imagery and existing multi-scale field data to derive rangeland indicators: an application of Bayesian additive regression trees. Rangeland Ecology and Management. 70:644-655.
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2014. Interpretation of high-resolution imagery for detecting vegetation cover composition change after fuels reduction treatments in woodlands. Ecological Indicators. 45:570-578.
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2013. Land degradation and climate change: A sin of omission? Frontiers in Ecology and the Environment. 11:283.
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2016. The Land-Potential Knowledge System (LandPKS): mobile apps and collaboration for optimizing climate change investments. Ecosystem Health and Sustainability. 2(3)
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2014. Modeling vegetation heights from high resolution stereo aerial photography: An application for broad-scale rangeland monitoring. Journal of Environmental Management. 144:226-235.
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2010. Monitoring and assessment based on ecological sites. Rangelands. 32(6):60-64.
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2017. Phenocams bridge the gap between field and satellite observations in an arid grassland ecosystem. Remote Sensing of Environment. 9, 1071
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2021. Provoking a Cultural Shift in Data Quality. BioScience.
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2012. Rangeland and pasture monitoring: an approach to interpretation of high-resolution imagery focused on observer calibration for repeatability. Environmental Monitoring and Assessment. 184:3789-3804.
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2011. Rangeland assessment and monitoring methods guide. Rangelands. 33(4):48-54.
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2020. Rapid bulk density measurement using mobile device photogrammetry. Soil Science Society of America Journal. 84(3):811-817.
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2012. Revolutionary land use change in the 21st century: Is (rangeland) science relevant? Rangeland Ecology and Management. 65:590-598.
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2016. The role of data and inference in the development and application of ecological site concepts and state-and-transition models. Rangelands. 38:322-328
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2021. Sampling design workflows and tools to support adaptive monitoring and management. Rangelands. :1-9.
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2010. Spatial dependence of predictions from image segmentation: A variogram-based method to determine appropriate scales for producing land-management information. Ecological Informatics. 5:194-202.
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2010. Spatial Predictions of Cover Attributes of Rangeland Ecosystems Using Regression Kriging and Remote Sensing. Rangeland Ecology & Management. 63:335-349.
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2012. A strategy for rangeland management based on best available knowledge and information. Rangeland Ecology and Management. 65:638-646.
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2012. A Technique for Estimating Rangeland Canopy-Gap Size Distributions From High-Resolution Digital Imagery. Rangeland Ecology & Management. 65(2):196-207.
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2010. Tribal and state ecosystem management regimes influence forest regeneration. Forest Ecology and Management. 260(5):734-743.
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2011. Turning information into knowledge for rangeland management. Rangelands. 33(4):3-5.
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2017. Two New Mobile Apps for Rangeland Inventory and Monitoring by Landowners and Land Managers. Rangelands . 32(2):46-55.
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2017. Two new mobile apps for rangeland inventory and monitoring by landowners and land managers. Rangelands. 39:46-55.
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2013. Using Spatial Statistics and Point-Pattern Simulations to Assess the Spatial Dependency Between Greater Sage-Grouse and Anthropogenic Features. Wildlife Society Bulletin. 37(2):301-310.
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2012. Using very-large-scale aerial imagery for rangeland monitoring and assessment: some statistical considerations. Rangeland Ecology and Management. 65:330-339.
