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Journal of Range Management, 54, 254–259. Remote sensing of redberry juniper in the Texas rolling plains. An apparatus for photographic recording of quadrats. Denver, CO: USDI Bureau of Land Management, Technical Reference 1737–10.Ĭooper, W.
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Riparian area management-The use of aerial photography to manage riparian-wetland areas (64 p.). Royal Photographic Society Journal, 428–431, November 2006Ĭlemmer, P. Global Ecology and Biogeography, 10, 535–548. Forest expansion and grassland contraction within a Eucalyptus savanna matrix between 19 at Litchfield National Park in the Australian monsoon tropics. Journal of Range Management, 57, 675–678. Lightweight camera stand for close-to-earth remote sensing. Rangeland Ecology and Management, 58, 598–604. Detection-threshold calibration and other factors influencing digital measurements of ground cover. Environmental Monitoring and Assessment, 123, 97–108. Point sampling digital imagery using ‘SamplePoint’. Journal of Arid Land Research and Management, 17, 455–478. Rangeland monitoring using remote sensing. Frontiers in Ecology and the Environment, 6, 185–190.īooth, D. Imaged-based monitoring to measure ecological change in rangeland. Very large scale aerial photography for rangeland monitoring. Data-dependent permutation techniques for the analysis of ecological data. Journal of Range Management, 53, 634–641.
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Close-range vertical photography for measuring cover changes in perennial grasslands. Geocarto International, 11, 81–89.īennett, L. Mapping leafy spruge (Euphorbia esula) infestations using aerial photography and geographic information systems. We conclude that HDR imagery can provide more accurate measurements of bare soil cover for ecosystem monitoring and assessment.Īnderson, G. Drawbacks to the method included decreased image sharpness due to minor misalignment of images or moving vegetation, time required to create HDR images, and difficulty with acquiring primary images from a moving platform.
Photomatix pro 2.5 manual#
HDR images showed more detail reduced the numbers of pure black, pure white, and pixels visually indistinguishable from black and white reapportioned skewed luma values towards a normal distribution and increased the Euclidean distance between litter and bare ground RGB values-allowing increased feature separation all of which facilitated an increase in real feature classification through manual image analysis. HDR composites were created by merging three differentially exposed images spanning a wide exposure range and resulted in lightened shadows. To mitigate shadow effects in near-earth imagery (2 m above ground level), we created high dynamic range (HDR) nadir images and used them to measure grassland ground cover. Shadow often interferes with accurate image analysis.