Search Results - "Johansen, Kasper"

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  1. 1

    Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects by Johansen, Kasper, Raharjo, Tri, McCabe, Matthew

    Published in Remote sensing (Basel, Switzerland) (01-06-2018)
    “…Unmanned aerial vehicles (UAV) provide an unprecedented capacity to monitor the development and dynamics of tree growth and structure through time. It is…”
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    Journal Article
  2. 2

    Object-Based Approach for Multi-Scale Mangrove Composition Mapping Using Multi-Resolution Image Datasets by Kamal, Muhammad, Phinn, Stuart, Johansen, Kasper

    Published in Remote sensing (Basel, Switzerland) (01-04-2015)
    “…Providing accurate maps of mangroves, where the spatial scales of the mapped features correspond to the ecological structures and processes, as opposed to…”
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  3. 3

    CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals by Johansen, Kasper, Ziliani, Matteo G., Houborg, Rasmus, Franz, Trenton E., McCabe, Matthew F.

    Published in Scientific reports (28-03-2022)
    “…Satellite remote sensing has great potential to deliver on the promise of a data-driven agricultural revolution, with emerging space-based platforms providing…”
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  4. 4

    Suitability of Airborne and Terrestrial Laser Scanning for Mapping Tree Crop Structural Metrics for Improved Orchard Management by Wu, Dan, Johansen, Kasper, Phinn, Stuart, Robson, Andrew

    Published in Remote sensing (Basel, Switzerland) (01-05-2020)
    “…Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning (TLS) systems are useful tools for deriving horticultural tree structure estimates. However, there…”
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  5. 5

    Evapotranspiration, gross primary productivity and water use efficiency over a high-density olive orchard using ground and satellite based data by Elfarkh, Jamal, Johansen, Kasper, El Hajj, Marcel M., Almashharawi, Samir K., McCabe, Matthew F.

    Published in Agricultural water management (01-09-2023)
    “…The trade-off between increasing agricultural production and groundwater conservation, which is often the only irrigation source in arid regions, is a major…”
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  6. 6

    Assessing Radiometric Correction Approaches for Multi-Spectral UAS Imagery for Horticultural Applications by Tu, Yu-Hsuan, Phinn, Stuart, Johansen, Kasper, Robson, Andrew

    Published in Remote sensing (Basel, Switzerland) (01-11-2018)
    “…Multi-spectral imagery captured from unmanned aerial systems (UAS) is becoming increasingly popular for the improved monitoring and managing of various…”
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  7. 7

    Dye tracing and concentration mapping in coastal waters using unmanned aerial vehicles by Johansen, Kasper, Dunne, Aislinn F., Tu, Yu-Hsuan, Almashharawi, Samir, Jones, Burton H., McCabe, Matthew F.

    Published in Scientific reports (21-01-2022)
    “…Coastal water flows facilitate important nutrient exchanges between mangroves, seagrasses and coral reefs. However, due to the complex nature of tidal…”
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  8. 8

    Small birds, big effects: the little auk (Alle alle) transforms high Arctic ecosystems by González-Bergonzoni, Ivan, Johansen, Kasper L., Mosbech, Anders, Landkildehus, Frank, Jeppesen, Erik, Davidson, Thomas A.

    “…In some arctic areas, marine-derived nutrients (MDN) resulting from fish migrations fuel freshwater and terrestrial ecosystems, increasing primary production…”
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  9. 9

    Current Practices in UAS-based Environmental Monitoring by Tmušić, Goran, Manfreda, Salvatore, Aasen, Helge, James, Mike R., Gonçalves, Gil, Ben-Dor, Eyal, Brook, Anna, Polinova, Maria, Arranz, Jose Juan, Mészáros, János, Zhuang, Ruodan, Johansen, Kasper, Malbeteau, Yoann, de Lima, Isabel Pedroso, Davids, Corine, Herban, Sorin, McCabe, Matthew F.

    Published in Remote sensing (Basel, Switzerland) (01-03-2020)
    “…With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing…”
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  10. 10

    Measuring Canopy Structure and Condition Using Multi-Spectral UAS Imagery in a Horticultural Environment by Tu, Yu-Hsuan, Johansen, Kasper, Phinn, Stuart, Robson, Andrew

    Published in Remote sensing (Basel, Switzerland) (01-02-2019)
    “…Tree condition, pruning and orchard management practices within intensive horticultural tree crop systems can be determined via measurements of tree structure…”
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    Journal Article
  11. 11

    Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery by Johansen, Kasper, Duan, Qibin, Tu, Yu-Hsuan, Searle, Chris, Wu, Dan, Phinn, Stuart, Robson, Andrew, McCabe, Matthew F.

    “…[Display omitted] Australia is one of the world’s largest producers of macadamia nuts. As macadamia trees can take up to 15 years to mature and produce maximum…”
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  13. 13

    A Calibration Procedure for Field and UAV-Based Uncooled Thermal Infrared Instruments by Aragon, Bruno, Johansen, Kasper, Parkes, Stephen, Malbeteau, Yoann, Al-Mashharawi, Samir, Al-Amoudi, Talal, Andrade, Cristhian F., Turner, Darren, Lucieer, Arko, McCabe, Matthew F.

    Published in Sensors (Basel, Switzerland) (10-06-2020)
    “…Thermal infrared cameras provide unique information on surface temperature that can benefit a range of environmental, industrial and agricultural applications…”
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  14. 14

    Inter-comparison of remote sensing platforms for height estimation of mango and avocado tree crowns by Wu, Dan, Johansen, Kasper, Phinn, Stuart, Robson, Andrew, Tu, Yu-Hsuan

    “…•Airborne Laser Scanning with optimal point density and flight altitude can achieve reasonable canopy height measurement accuracy for both mango and avocado…”
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  15. 15

    Water uptake rates over olive orchards using Sentinel-1 synthetic aperture radar data by El Hajj, Marcel M., Johansen, Kasper, Almashharawi, Samer K., McCabe, Matthew F.

    Published in Agricultural water management (01-10-2023)
    “…The water uptake rate is a key parameter for improving irrigation efficiency and represents an indicator of tree health and yield. Here, we investigate the…”
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  16. 16

    Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data by Jiang, Jiale, Johansen, Kasper, Tu, Yu-Hsuan, McCabe, Matthew F.

    Published in GIScience and remote sensing (31-12-2022)
    “…Unmanned aerial vehicle (UAV) and satellite data have considerable complementarity for platform inter-operability, data fusion studies, calibration and…”
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  17. 17

    Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series by Ma, Chunfeng, Johansen, Kasper, McCabe, Matthew F.

    Published in Remote sensing (Basel, Switzerland) (01-03-2022)
    “…Capturing and identifying field-based agricultural activities, such as the start, duration and end of irrigation, together with crop sowing/germination,…”
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  18. 18

    Characterisation of Banana Plant Growth Using High-Spatiotemporal-Resolution Multispectral UAV Imagery by Aeberli, Aaron, Phinn, Stuart, Johansen, Kasper, Robson, Andrew, Lamb, David W.

    Published in Remote sensing (Basel, Switzerland) (01-02-2023)
    “…The determination of key phenological growth stages of banana plantations, such as flower emergence and plant establishment, is difficult due to the…”
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  19. 19

    Detection of Banana Plants Using Multi-Temporal Multispectral UAV Imagery by Aeberli, Aaron, Johansen, Kasper, Robson, Andrew, Lamb, David W., Phinn, Stuart

    Published in Remote sensing (Basel, Switzerland) (01-06-2021)
    “…Unoccupied aerial vehicles (UAVs) have become increasingly commonplace in aiding planning and management decisions in agricultural and horticultural crop…”
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  20. 20

    The radiometric accuracy of the 8-band multi-spectral surface reflectance from the planet SuperDove constellation by Tu, Yu-Hsuan, Johansen, Kasper, Aragon, Bruno, El Hajj, Marcel M., McCabe, Matthew F.

    “…[Display omitted] •The absolute mean error of the SuperDove surface reflectance were 6%.•The SuperDove surface reflectance was on average almost identical to…”
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