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    Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests 

    Peduzzi, Alicia; Wynne, Randolph H.; Thomas, Valerie A.; Nelson, Ross F.; Reis, James J.; Sanford, Mark (MDPI, 2012-06-13)
    The objective of this study was to determine whether leaf area index (LAI) in temperate mixed forests is best estimated using multiple-return airborne laser scanning (lidar) data or dual-band, single-pass interferometric synthetic aperture radar data (from GeoSAR) alone, or both in combination. In situ measurements of LAI were made using the LiCor LAI-2000 Plant Canopy Analyzer on 61 plots (21 hardwood, 36 pine, 4 mixed pine hardwood; stand age ranging from 12-164 years; mean height ranging from 0.4 to 41.2 m) in the Appomattox-Buckingham State Forest, Virginia, USA. Lidar distributional metrics were calculated for all returns and for ten one meter deep crown density slices (a new metric), five above and five below the mode of the vegetation returns for each plot. GeoSAR metrics were calculated from the X-band backscatter coefficients (four looks) as well as both X- and P-band interferometric heights and magnitudes for each plot. Lidar metrics alone explained 69% of the variability in LAI, while GeoSAR metrics alone explained 52%. However, combining the lidar and GeoSAR metrics increased the R<sup>2</sup> to 0.77 with a CV-RMSE of 0.42. This study indicates the clear potential for X-band backscatter and interferometric height (both now available from spaceborne sensors), when combined with small-footprint lidar data, to improve LAI estimation in temperate mixed forests....
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    Investigating the Utility of Wavelet Transforms for Inverting a 3-D Radiative Transfer Model Using Hyperspectral Data to Retrieve Forest LAI 

    Banskota, Asim; Wynne, Randolph H.; Thomas, Valerie A.; Serbin, Shawn P.; Kayastha, Nilam; Gastellu-Etchegorry, Jean P.; Townsend, Philip A. (MDPI, 2013-05-24)
    The need for an efficient and standard technique for optimal spectral sampling of hyperspectral data during the inversion of canopy reflectance models has been the subject of many studies. The objective of this study was ...
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    Determination of Fertility Rating (FR) in the 3-PG Model for Loblolly Pine Plantations in the Southeastern United States Based on Site Index 

    Subedi, Santosh; Fox, Thomas R.; Wynne, Randolph H. (MDPI, 2015-08-28)
    Soil fertility is an important component of forest ecosystems, yet evaluating soil fertility remains one of the least understood aspects of forest science. We hypothesized that the fertility rating (FR) used in the model ...
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    Edaphic and climatic effects on forest stand development, net primary production, and net ecosystem productivity simulated for Coastal Plain loblolly pine in Virginia 

    Sampson, Deborah A.; Wynne, Randolph H.; Seiler, John R. (American Geophysical Union, 2008-01-11)
    We used SECRETS-3PG to simulate net primary production (NPP) and net ecosystem productivity (NEP) of loblolly pine (Pinus taeda L.) growing on the Virginia Coastal Plain, focusing on the effects of soils and climate, and ...
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    Phenological Response of an Arizona Dryland Forest to Short-Term Climatic Extremes 

    Walker, Jessica; de Beurs, Kirsten; Wynne, Randolph H. (MDPI, 2015-08-24)
    Baseline information about dryland forest phenology is necessary to accurately anticipate future ecosystem shifts. The overarching goal of our study was to investigate the variability of vegetation phenology across a dryland ...
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    Cloud-Sourcing: Using an Online Labor Force to Detect Clouds and Cloud Shadows in Landsat Images 

    Yu, Ling; Ball, Sheryl B.; Blinn, Christine E.; Moeltner, Klaus; Peery, Seth; Thomas, Valerie A.; Wynne, Randolph H. (MDPI, 2015-02-26)
    We recruit an online labor force through Amazon.com’s Mechanical Turk platform to identify clouds and cloud shadows in Landsat satellite images. We find that a large group of workers can be mobilized quickly and relatively ...
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    Crowds for Clouds: Using an Internet Workforce to Interpret Satellite Images 

    Yu, Ling; Ball, Sheryl B.; Blinn, Christine E.; Moeltner, Klaus; Peery, Seth; Thomas, Valerie A.; Wynne, Randolph H. (2014)
    A chronologically ordered sequence of satellite images can be used to learn how natural features of the landscape change over time. For example, we can learn how forests react to human interventions or climate change. ...
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    Identifying Forest Impacted by Development in the Commonwealth of Virginia through the Use of Landsat and Known Change Indicators 

    House, Matthew N.; Wynne, Randolph H. (MDPI, 2018-01-18)
    This study examines the effectiveness of using the Normalized Difference Vegetation Index (NDVI) derived from 1326 different Landsat Thematic Mapper and Enhanced Thematic Mapper images in finding low density development ...
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    Creating Landscape-Scale Site Index Maps for the Southeastern US Is Possible with Airborne LiDAR and Landsat Imagery 

    Gopalakrishnan, Ranjith; Kauffman, Jobriath S.; Fagan, Matthew E.; Coulston, John W.; Thomas, Valerie A.; Wynne, Randolph H.; Fox, Thomas R.; Quirino, Valquiria F. (MDPI, 2019-03-06)
    Sustainable forest management is hugely dependent on high-quality estimates of forest site productivity, but it is challenging to generate productivity maps over large areas. We present a method for generating site index ...
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    Edyn: Dynamic Signaling of Changes to Forests Using Exponentially Weighted Moving Average Charts 

    Brooks, Evan B.; Yang, Zhiqiang; Thomas, Valerie A.; Wynne, Randolph H. (MDPI, 2017-08-24)
    Remote detection of forest disturbance remains a key area of interest for scientists and land managers. Subtle disturbances such as drought, disease, insect activity, and thinning harvests have a significant impact on ...
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    Content TypeArticle - Refereed (28)Conference proceeding (10)Poster (3)Presentation (3)Technical report (3)... View MoreSubjectremote sensing (9)Landsat (8)forestry (7)Algorithms (3)Data structures (3)... View MoreDate Issued2020 - 2022 (6)2010 - 2019 (37)2000 - 2009 (5)1998 - 1999 (1)Author
    Wynne, Randolph H. (49)
    Thomas, Valerie A. (32)Brooks, Evan B. (10)Coulston, John W. (10)Blinn, Christine E. (8)... View MoreHas File(s)Yes (49)

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