Search Results - "Leonardo, Ellen Mae C."
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Monitoring biochemical limitations to photosynthesis in N and P-limited radiata pine using plant functional traits quantified from hyperspectral imagery
Published in Remote sensing of environment (01-10-2020)“…The prediction of carbon uptake by forests across fertility gradients requires accurate characterisation of how biochemical limitations to photosynthesis…”
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Application of remote sensing technologies to identify impacts of nutritional deficiencies on forests
Published in ISPRS journal of photogrammetry and remote sensing (01-03-2019)“…The application of fertiliser is an important silvicultural practice that can induce significant increases in tree growth. However, as responses to…”
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Comparison of TanDEM-X InSAR data and high-density ALS for the prediction of forest inventory attributes in plantation forests with steep terrain
Published in Remote sensing of environment (01-09-2020)“…Satellite interferometric synthetic aperture radar (InSAR) is emerging as a viable low-cost alternative method to airborne laser scanning (ALS) for forest…”
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Use of advanced modelling methods to estimate radiata pine productivity indices
Published in Forest ecology and management (01-01-2021)“…•Productivity indices have been used to describe age normalised height and volume.•We predict productivity indices for radiata pine using a range of modelling…”
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Long-term effects of water stress on hyperspectral remote sensing indicators in young radiata pine
Published in Forest ecology and management (15-12-2021)“…•Hyperspectral imagery was used to identify long-term water stress in radiata pine.•Water stress defined by equivalent water thickness (EWT), leaf fresh weight…”
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Prediction of the severity of Dothistroma needle blight in radiata pine using plant based traits and narrow band indices derived from UAV hyperspectral imagery
Published in Agricultural and forest meteorology (01-03-2023)“…•Dothistroma needle blight (DNB) is a major disease of pine species.•DNB severity was predicted in radiata pine using UAV acquired hyperspectral…”
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Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition
Published in ISPRS journal of photogrammetry and remote sensing (01-11-2020)“…Spatial prediction of photosynthesis requires an understanding of how foliage nitrogen (N) and phosphorus (P) regulate this process and the relationship…”
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