Search Results - "Pairman, David"

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  1. 1

    Boundary Delineation of Agricultural Fields in Multitemporal Satellite Imagery by North, Heather C., Pairman, David, Belliss, Stella E.

    “…Agricultural land-use statistics are more informative per-field than per-pixel. Land-use classification requires up-to-date field boundary maps potentially…”
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    Journal Article
  2. 2

    National Mapping of New Zealand Pasture Productivity Using Temporal Sentinel-2 Data by Amies, Alexander C., Dymond, John R., Shepherd, James D., Pairman, David, Hoogendoorn, Coby, Sabetizade, Marmar, Belliss, Stella E.

    Published in Remote sensing (Basel, Switzerland) (01-04-2021)
    “…A national map of pasture productivity, in terms of mass of dry matter yield per unit area and time, enables evaluation of regional and local land-use…”
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    Journal Article
  3. 3

    Mapping Physiognomic Types of Indigenous Forest using Space-Borne SAR, Optical Imagery and Air-borne LiDAR by Dymond, John R., Zörner, Jan, Shepherd, James D., Wiser, Susan K., Pairman, David, Sabetizade, Marmar

    Published in Remote sensing (Basel, Switzerland) (01-08-2019)
    “…Indigenous forests cover 24% of New Zealand and provide valuable ecosystem services. However, a national map of forest types, that is, physiognomic types,…”
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    Journal Article
  4. 4

    Mapping bare ground in New Zealand hill-country agriculture and forestry for soil erosion risk assessment: An automated satellite remote-sensing method by North, Heather, Amies, Alexander, Dymond, John, Belliss, Stella, Pairman, David, Drewry, John, Schindler, Jan, Shepherd, James

    Published in Journal of environmental management (01-01-2022)
    “…Removing vegetation cover from hill-slope land increases risk for soil erosion and delivery of sediment to waterways. In New Zealand's productive landscapes,…”
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    Journal Article
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    Contextual Pattern Recognition Applied to Cloud Detection and Identification by Kittler, Josef, Pairman, David

    “…The use of contextuial information in classification of satellite imagery of clouds is considered. A general contextual classification rule is developed which…”
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    Journal Article
  7. 7

    Stand age retrieval in production forest stands in New Zealand using C- and L-band polarimetric Radar by McNeill, S., Pairman, D.

    “…Regressions of single-, dual-, quad-, and full-polarization L- and C-band synthetic aperture radar (SAR) against stand age from 403 radiata pine stands in…”
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    Journal Article Conference Proceeding
  8. 8

    Classification of Winter Land Cover in New Zealand Hill Country for Risky Practice Identification by Amies, Alexander, Belliss, Stella, North, Heather, Pairman, David, Dymond, John, Schindler, Jan, Shepherd, James, Drewry, John

    “…Research in New Zealand indicates that winter forage grazing on steep land creates a high risk of sediment loss. This loss can have a significant impact on…”
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    Conference Proceeding
  9. 9

    Vegetation Identification and Biomass Estimation Using AIRSAR Data by Pairman, David, McNeill, Stephen, Scott, Neal, Belliss, Stella

    Published in Geocarto international (01-09-1999)
    “…Monitoring of vegetation biomass is becoming more important as countries attempt to preserve major carbon reservoirs. We examine the potential use of radar…”
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    Journal Article
  10. 10

    High-accuracy terrain modelling for soil mapping using ALOS-PRISM imagery by McNeill, Stephen, Belliss, Stella, Pairman, David

    “…A digital elevation model (DEM) has been generated from ALOS-PRISM triplet stereo imagery of the Manawatu and Wanganui regions, New Zealand, for use in…”
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    Conference Proceeding
  11. 11

    Semi-automated penguin counting from digital aerial photographs by McNeill, Stephen, Barton, Kerry, Lyver, Phil, Pairman, David

    “…Semi-automated software has been written in Matlab to enable nesting Adelie penguins (Pygoscelis adeliae), on aerial photographs of the Ross Sea sector of…”
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    Conference Proceeding
  12. 12

    Terrain influences on SAR backscatter around Mt. Taranaki, New Zealand by Pairman, D., Belliss, S.E., McNeill, S.J.

    “…An L-band SAR image from the Japanese JERS-1 satellite has been analyzed for the effects of local surface orientation relative to the radar illumination…”
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    Journal Article
  13. 13

    Computing advective velocities from satellite images of sea surface temperature by Wu, Q.X., Pairman, D., McNeill, S.J., Barnes, E.J.

    “…A method of employing sequential satellite images of sea surface temperature (SST) patterns to estimate surface advective current velocities is described. SST…”
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    Journal Article
  14. 14

    Pasture Monitoring from Polarimetric TerraSAR-X Data by Pairman, D., McNeill, S., Belliss, S., Dalley, D., Dynes, R.

    “…Good pasture management and optimal feed use are key drivers of profitability for New Zealand's pastoral dairy and meat industries. Preliminary results are…”
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    Conference Proceeding
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    A System Design for a Multispectral Sensor Using Two-Dimensional Solid-State Imaging Arrays by Hodgson, Robert M., Cady, Fred M., Pairman, David

    “…The architecture of a system for the simultaneous capture of up to four images from solid-state two-dimensional image sensors is described. The system has been…”
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    Journal Article