WebODM
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OpenDroneMap
add: new vegetation index
- Structure-Insensitive Pigment Index
- Modified Normalized Difference Vegetation Index.
- Ratio Enhanced Normalized Difference Vegetation Index.
- Modified Transformed Vegetation Index 1.
- Modified Transformed Vegetation Index 2.
- Greenness Index.
- Transparency Vegetation Index.
- Modified Chlorophyll Absorption Reflectance Index 1.
- Chlorophyll Index.
- Simple Ratio.
- Modified Simple Ratio 2.
- Improved Perpendicular Vegetation Index.
by @NtskwK , @QinShengLiangAn
Oooh, these look great!
Do you have a source for them so we can learn about appropriate usage?
Yeh, I'll show you a list of papers. Our group use them for some researchs about agriculture.
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Assessment of photosynthetic radiation-use efficiency with spectral reflectance (1995)
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Relationships between leaf pigment content and spectral reflectance acrossa wide range of species, leaf structures and developmental stages (2002)
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Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves (1994)
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Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture (2004)
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Business literacy and development: Evidence from a randomized controlled trial in rural Mexico (2013)
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Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density (2001)
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Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture (2004)
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Remote estimation of canopy chlorophyll content in crops (2005)
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Derivation of leaf‐area index from quality of light on the forest floor (1969)
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Calculating the vegetation index faster (1990)
Thanks @NtskwK :+1: next to the help for each index, could you add descriptions of what the index is useful for (without needing to read a research paper)? See the other indexes for an example of descriptions :pray:
