What question did this study set out to answer?

To assess the relative contributions of grapevine canopy density and planimetric canopy area to leaf area index (LAI) using high-resolution airborne imagery.

March 24, 2008Australian Journal of Grape and Wine ResearchOpen Access

Low-resolution remotely sensed images of winegrape vineyards map spatial variability in planimetric canopy area instead of leaf area index

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To assess the relative contributions of grapevine canopy density and planimetric canopy area to leaf area index (LAI) using high-resolution airborne imagery.
Analyzed high-spatial-resolution airborne normalized difference vegetation index (NDVI) imagery of minimally pruned, unconfined grapevines.
Partitioned image pixels into grapevine-only and non-grapevine categories to isolate canopy footprint area from leaf layer density.
Variability observed across the vineyard was dominated by changes in planimetric canopy area rather than grapevine-only NDVI.
Planimetric canopy area served as the primary predictive variable of grapevine LAI.
Low-spatial-resolution NDVI imagery effectively mapped spatial differences in canopy area rather than actual leaf layer density.

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Implication

Remote sensing analysis reveals that image variability across vineyards reflects canopy area rather than leaf density, indicating low-resolution sensors primarily measure canopy footprint.

Cite This Study

Hall et al. (2008) studied this question.

synapsesocial.com/papers/6a7379931aa2fc9e78fb659a https://doi.org/10.1111/j.1755-0238.2008.00002.x

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Implication

Remote sensing analysis reveals that image variability across vineyards reflects canopy area rather than leaf density, indicating low-resolution sensors primarily measure canopy footprint.

Low-resolution remotely sensed images of winegrape vineyards map spatial variability in planimetric canopy area instead of leaf area index

Key Points

Discussion

Implication

Cite This Study

Low-resolution remotely sensed images of winegrape vineyards map spatial variability in planimetric canopy area instead of leaf area index

Key Points

Discussion

Implication

Cite This Study

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