Field Testing Satellite-Derived Vegetation Health Indices for a Koala Habitat Managers Toolkit

被引:2
|
作者
Hewson, Michael [1 ]
Santamaria, Flavia [2 ,3 ]
Melzer, Alistair [4 ]
机构
[1] Cent Queensland Univ, Sch Educ & Arts, Rockhampton, Qld 4701, Australia
[2] Cent Queensland Univ, Sch Hlth Med & Appl Sci, Koala Res Cent Queensland, Rockhampton, Qld 4701, Australia
[3] Cent Queensland Univ, Sch Hlth Med & Appl Sci, Flora Fauna & Freshwater Res, Rockhampton, Qld 4701, Australia
[4] Cent Queensland Univ, Sch Hlth Med & Appl Sci, Rockhampton, Qld 4701, Australia
关键词
remote sensing; koala habitat; Phascolarcos cinereus; threatened species; vegetation health; LEAF-AREA INDEX; WATER-CONTENT; WORLDVIEW-2; IMAGERY; SENTINEL-2;
D O I
10.3390/rs14092119
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A Central Queensland University (CQU) partnership with the Queensland Government National Park management agency has developed a koala (Phascolarctos cinereus) habitat managers' toolkit for vegetation health assessment. Private and public landholders use the field-based toolkit to assess habitat suitability or monitor conservation outcomes for the koala-an iconic Australian arboreal herbivorous marsupial. The toolkit was upgraded recently with instructions to process European Space Agency (ESA) Sentinel-2 multispectral satellite-derived selected vegetation maps for areal vegetation health trend monitoring. A field campaign sought to validate the relatively coarse spatial resolution derived indices (photosynthetic health, leaf area index and leaf water content) to verify their suitability for the habitat management decision-support toolkit. Other user requirement-driven criteria for including remote sensing in the toolkit were imagery and associated processing software costs and ease of map production for habitat managers without cost-effective access to spatial science skills. Despite moderate-to-low field and image vegetation proxy correlations, discussing the results with stakeholders indicates that, at a landscape scale, the use of cost-free, suitable temporal resolution, 10-m spatial resolution imagery is satisfactory when aligned with the design outcomes of a habitat health toolkit.
引用
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页数:25
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