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convert-effective-lai-to-lai.ipynb

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"source": [
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"## Introduction\n",
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"\n",
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"Leaf Area Index (LAI) is a measure of the total one-sided leaf surface area per unit ground area. It is known to be a proxy for surface aspects that directly influence energy exchange, carbon uptake, and water cycling in ecosystems, playing a critical role in climate modeling and land surface monitoring. Without exact knowledge of the canopy structure this true LAI is hard to retrieve with optical remtote sensing, leading to the concept of effective LAI. This notebook demonstrates the conversion from effective to true LAI using a clumping factor. It includes the propagation of the uncertainty to the true LAI, including many but not all additional sources of uncertainty.\n"
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"Leaf Area Index (LAI) is a measure of the total one-sided leaf surface area per unit ground area. It is known to be a proxy for surface aspects that directly influence energy exchange, carbon uptake, and water cycling in ecosystems, playing a critical role in climate modeling and land surface monitoring. Without exact knowledge of the canopy structure this true LAI is hard to retrieve with optical remote sensing, leading to the concept of effective LAI. This notebook demonstrates the conversion from effective to true LAI using a clumping factor. It includes the propagation of the uncertainty to the true LAI, including many but not all additional sources of uncertainty.\n"
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{
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}
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],
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},

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