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· The potential of using Unmanned Aerial Vehicles (UAVs) for precision pest control of possums .Rethinking Ecology.2: 27-39 (23 Oct 2017)
· A simple indicator for estimating the noise level of a hyperspectral data cube for earth observation missions.Acta Astronautica.Volume 128, November–December 2016, Pages 304-312
· 3D spectral analysis in the VNIR–SWIR spectral region as a tool for soil classification.Geoderma.Volume 302, 15 September 2017, Pages 100-110
· High resolution derivative spectra in remote sensing.Remote Sensing of Environment.Volume 33, Issue 1, July 1990, Pages 55-64
· Modeling spectral and bidirectional soil reflectance.Remote Sensing of Environment.Volume 41, Issues 2–3, August–September 1992, Pages 123-132
· Atmospheric Correction Performance of.Remote Sens.2017.9(1).2
· Hyperspectral Airborne Imagery over a Small Eutrophic Lake under Changing Cloud Cove..
· Multiscale mapping of species diversity under changed land use using imaging spectroscopy.Ecological Applications.Volume 27, Issue 5
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· A Wide Spectral Range Reflectance and Luminescence Imaging System.Sensors.2013, 13(11), 14500-14510
· Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing .Volume: 9 Issue: 6
· Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea.Water Research.Volume 126, 1 December 2017, Pages 319-328
· The role of technology transfer to improve fertiliser use efficiency.Food Security.April 2015, Volume 7, Issue 2, pp 365–373
· Mapping the Spectral Soil Quality Index (SSQI) Using Airborne Imaging Spectroscopy.Remote Sens. .2015, 7(11), 15748-15781
· Mapping of macro and micro nutrients of mixed pastures using airborne AisaFENIX hyperspectral imagery.ISPRS Journal of Photogrammetry and Remote Sensing.Volume 117, July 2016, Pages 1-10
· Quantification of dead vegetation fraction in mixed pastures using AisaFENIX imaging spectroscopy data.International Journal of Applied Earth Observation and Geoinformation.Volume 58, June 2017, Pages 26-35
· Data processing of remotely sensed airborne hyperspectral data using the Airborne Processing Library (APL): Geocorrection algorithm descriptions and spatial accuracy assessment.Computers & Geosciences.Volume 64, March 2014, Pages 24-34
· Detecting subtle environmental change: a multi-temporal airborne imaging spectroscopy approach.Proc. SPIE 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII.999813 (25 October 2016)
· The classification of hill country vegetation from hyperspectral imagery.Occasional Report Number 30.2017, pp. 1 - 9 (9)
· Mapping nutrient concentration in pasture using hyperspectral imaging.Journal of New Zealand Grasslands.77: 47-50 (2015)
· Integration of Hyperspectral Shortwave and Longwave Infrared Remote-Sensing Data for Mineral Mapping of Makhtesh Ramon in Israel.Remote Sens..2016, 8(4), 318
· "Covariance-based band selection and its application to near-real-time hyperspectral target detection.Optical Engineering .56(5), 053101 (9 May 2017)
· Macroscale multimodal imaging reveals ancient painting production technology and the vogue in Greco-Roman Egypt.Scientific Reports.7, 15509,2017
· Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models.Scientific Reports.7, 7845,2017
· Detection of Fungus Infection on Petals of Rapeseed (Brassica napus L.) Using NIR Hyperspectral Imaging.Scientific Reports .6, 38878,2017
· Hyperspectral light sheet microscopy.Nature Communications .6, 7990,2015
· Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.Scientific Reports .7, 4125,2017
· Hyperspectral Imaging for Determining Pigment Contents in Cucumber Leaves in Response to Angular Leaf Spot Disease.Scientific Reports .6, 27790,2016
· Fast quantifying collision strength index of ethylene-vinyl acetate copolymer coverings on the fields based on near infrared hyperspectral imaging techniques.Scientific Reports .6, 20843,2016
· Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging.Scientific Reports .5, 16564,2015
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· External characteristic determination of eggs and cracked eggs identification using spectral signature.Scientific Reports .6, 21130,2016
· Resin defect detection in appearance lumber using 2D NIR spectroscopy.European Journal of Wood and Wood Products.November 2017, Volume 75, Issue 6, pp 995–1002
· Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective.Journal of Plant Diseases and Protection.https://doi.org/10.1007/s41348-017-0124-6
· Detection of biotic and abiotic stresses in crops by using hierarchical selforganizing classifiers.Precision Agriculture.June 2017, Volume 18, Issue 3, pp 383–393
· A new approach for the modelling of chestnut wood photo-degradation monitored by different spectroscopic techniques.Environmental Science and Pollution Research.June 2017, Volume 24, Issue 16, pp 13874–13884
· Automated Multi-class Classification of Remotely Sensed Hyperspectral Imagery Via Gaussian Processes with a Non-stationary Covariance Function.Mathematical Geosciences.July 2016, Volume 48, Issue 5, pp 537–558
· An evaluation of the relationship between physical/mechanical properties and mineralogy of landscape rocks as determined by hyperspectral reflectance.Arabian Journal of Geosciences.February 2016, 9:164
· Spectral reflectance is a reliable water-quality estimator for small, highly turbid wetlands.Wetlands Ecology and Management.October 2015, Volume 23, Issue 5, pp 933–946
· HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging.Plant Methods.https://doi.org/10.1186/s13007-015-0043-0
· Assessment of sediment connectivity from vegetation cover and topography using remotely sensed data in a dryland catchment in the Spanish Pyrenees.December 2014, Volume 14, Issue 12, pp 1982–2000.Journal of Soils and Sediments
· Data analysis of hyperspectral NIR image mosaics for the quantification of linseed oil impregnation in Scots pine wood.Wood Science and Technology.May 2014, Volume 48, Issue 3, pp 467–481
· Analysis of Spectral Vegetation Signal Characteristics as a Function of Soil Moisture Conditions Using Hyperspectral Remote Sensing.Journal of the Indian Society of Remote Sensing.June 2014, Volume 42, Issue 2, pp 311–324
· The spatial scaling effect of the discrete-canopy effective leaf area index retrieved by remote sensing.Science China Earth Sciences.September 2013, Volume 56, Issue 9, pp 1548–1554
· Mapping spatial variation in acorn production from airborne hyperspectral imagery.Forestry Studies in China.June 2010, Volume 12, Issue 2, pp 49–54
