Examining spatiotemporal changes in the phenology of Australian mangroves using satellite imagery

Younes Cárdenas, Nicolás (2020) Examining spatiotemporal changes in the phenology of Australian mangroves using satellite imagery. PhD thesis, James Cook University.

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View at Publisher Website: https://doi.org/10.25903/7y75-4627
 
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Abstract

Nicolás Younes investigated the phenology of Australian mangroves using satellite imagery, field data, and generalized additive models. He found that satellite-derived phenology changes with location, frequency of observation, and spatial resolution. Nicolás challenges the common methods for detecting phenology and proposes a data-driven approach.

Item ID: 69267
Item Type: Thesis (PhD)
Keywords: Mangroves; Mangrove forests; Generalized Additive Models; Land Surface Phenology; Phenology; Remote Sensing; Satellite Imagery; Landsat; Sentinel 2
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Copyright Information: Copyright © 2020 Nicolás Younes Cárdenas.
Additional Information:

Four publications arising from this thesis are stored in ResearchOnline@JCU, at the time of processing. Please see the Related URLs. The publications are:

Chapter 2: Younes Cárdenas, Nicolás, Joyce, Karen E., and Maier, Stefan W. (2017) Monitoring mangrove forests: are we taking full advantage of technology? International Journal of Applied Earth Observation and Geoinformation, 63. pp. 1-14.

Chapter 3: Younes, Nicolas, Joyce, Karen E., Northfield, Tobin D., and Maier, Stefan W. (2019) The effects of water depth on estimating Fractional Vegetation Cover in mangrove forests. International Journal of Applied Earth Observation and Geoinformation, 83. 101924.

Chapter 4: Younes, Nicolas, Northfield, Tobin D., Joyce, Karen E., Maier, Stefan W., Duke, Norman C., and Lymburner, Leo (2020) A novel approach to modelling mangrove phenology from satellite images: a case study from Northern Australia. Remote Sensing, 12 (24). 4008.

Chapter 5: Younes, Nicolas, Joyce, Karen E., and Maier, Stefan M. (2021) All models of satellite-derived phenology are wrong, but some are useful: a case study from northern Australia. International Journal of Applied Earth Observation and Geoinformation, 97 (102285).

Date Deposited: 03 Sep 2021 05:29
FoR Codes: 40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing @ 50%
41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410402 Environmental assessment and monitoring @ 50%
SEO Codes: 18 ENVIRONMENTAL MANAGEMENT > 1802 Coastal and estuarine systems and management > 180201 Assessment and management of coastal and estuarine ecosystems @ 40%
19 ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS > 1905 Understanding climate change > 190504 Effects of climate change on Australia (excl. social impacts) @ 30%
19 ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS > 1901 Adaptation to climate change > 190102 Ecosystem adaptation to climate change @ 30%
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