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HyVista Corporation aerial hyperspectral image data hymap
Aerial Hyperspectral Image Data Hymap, supplied by HyVista Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Title: Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders
Article Snippet: We also utilize the aerial hyperspectral observations acquired using the HyMap airborne sensor (7982 ×512, HyVista Corporation Pty, Ltd., Baulkham Hills, NSW, Australia, 126 bands with a wavelength resolution of 20 nm, and 4.2 m) on October 29, 2009.

Article Title: Advantages using the thermal infrared (TIR) to detect and quantify semi-arid soil properties
Article Snippet: a Helmholtz Centre Potsdam, German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany b Department of Earth Systems Analysis, Faculty ofGeo-Information Science and Earth Observation (ITC), University of Twente, Hengelosestraat 99, P.O.. Box 217, Enschede 7500AE, The Netherlands c School of Mathematical and Geospatial Sciences, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia d CSIRO Mineral Resources Flagship, CSIRO, 26 Dick Perry Avenue, Kensington, WA 6151, Australia e Environmental Remote Sensing and Geoinformatics Department, University of Trier, Behringstr.. 15, D-54286 Trier, Germany f Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, D-10099 Berlin, Germany

Article Title: Remote sensing of sagebrush canopy nitrogen
Article Snippet: On 13 August 2010, an airborne HyMap sensor (operated by HyVista, Inc., Sydney, Australia) collected two overlapping flightlines (≈11 km2 total) of hyperspectral imagery approximately 2496m above ground level with a nominal pixel resolution of 2.1 m. The sensor collects calibrated radiance data in 126 near-contiguous spectral bands (450–2480 nm) that range in width from 15 μm in the visible and nearinfrared to 20 μm in the shortwave infrared (Cocks et al., 1989).

Article Title: Comparison of PLSR modelling and indicative mineral mapping of airborne hyperspectral imagery for acid sulphate soil assessment
Article Snippet: Comparison of PLSR modelling and indicative mineral mapping of airborne hyperspectral imagery for acid sulphate soil assessment Xian-Zhong Shi, Ian C Lau & Mehrooz Aspandiar a Department of Applied Geology, Western Australian School of Mines, Curtin University, GPO Box U1987, Kalgoorlie, WA, Australia b Earth Science and Resource Engineering, Commonwealth Scientific and Industrial Research Organisation, Bentley, Australia Published online: 17 Feb 2014.

Article Title: Remote sensing for restoration ecology: Application for restoring degraded, damaged, transformed, or destroyed ecosystems.
Article Snippet: A c c e p te d P r e p r i n This article is protected by copyright.. All rights reserved 2 Restoration monitoring is generally perceived as costly and time-consuming, given the assumptions of successfully restoring ecological functions and services of a particular ecosystem or habitat.. Opportunities exist for remote sensing to bolster the restoration science associated with a wide variety of injured resources, including resources affected by fire, hydropower operations, chemical releases and oil spills, among others.

Article Title: Detection of poplar leaf rust using UAV multispectral imaging
Article Snippet: In 2007, Jonas Franke et al. studied Blumeria graminis97 and Puccinia re-condita, using QuickBird satellites with hyper-spectral HyMap sen-98 sor to obtain high-resolution remote sensing images of 54 samples from 6-ha field [21].99 In 2011, Thorsten Mewes et al. studied wheat powdery mildew and acquired remote100 sensing images using an airborne hyperspectral mapper (HyMap, HyVista, Australia)101 for 96 samples from 6-ha plots [22].102 With the help of UAV, compared with traditional methods, it was more convenient103 and economical to study.

Extraction:

Article Title: Remote sensing of savanna woody species diversity: A systematic review of data types and assessment methods
Article Snippet: Montane , Three species and two land cover types , 35 000 ha , RADARSAT-2 and waveform LiDAR (Spaceborne and Airborne) , Individual tree extraction , Regression analysis , R 2 (0.67–0.75) , [ ] . .. Montane , Four species , 239 km 2 , Hyperspectral (HyMap, HyVista, Inc.) and Waveform LiDAR (Spaceborne) , 25 spectral variables and Individual tree extraction , Regression analysis , R 2 (0.63–0.71) , [ ] . ..

Imaging:

Article Title: Comparison of two methods for indirect measurement of atmospheric dust deposition: Street-dust composition and vegetation-health status derived from hyperspectral image data
Article Snippet: .. Hyperspectral image data pre-processing and analysis The second method was employed to process the aerial hyperspectral image data—HyMap (HyVista Corp., Australia), which were acquired during the HyEUROPE 2010 flight campaign using the HyMap (HyVista Corp., Australia) air-borne imaging spectrometer. .. The HyMap data were atmospherically corrected using ATCOR-4 (Richter 2009 ) and direct ortho-georectification was performed using the PARGE software (Schlapfer 1998 ).



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Article Snippet: MATLAB Code, Image Pre-processing , LaCroix et al. 2018 , Zenodo: https://doi.org/10.5281/zenodo.11625595 Also see Gitlab: https://gitlab.oit.duke.edu/HoffmanLab-Public/image-preprocessing.

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