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- license: mit
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+ # VIs_to_LAI: Simulate leaf area index from vegetation indices
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+ **Authors**: Jonghan Ko at Chonnam National University and Chi Tim Ng at Hang Seng University of Hong Kong
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+ **Collaborator**: Jong-oh Ban at Hallym Polytechnic University
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+ **Repository**: https://github.com/RS-iCM/VIs_to_LAI, https://huggingface.co/datasets/jonghanko/VIs_to_LAI/tree/main
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+ ---
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+ ## Overview
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+ VIs_to_LAI is a modular, Python-based simulation framework that generates LAI from remotely sensed VIs with modeling processes. Designed for agricultural monitoring, VIs_to_LAI enables dynamic simulation of LAI under diverse environmental and management conditions. This framework facilitates the incorporation of machine learning algorithms to enhance LAI simulation and improve forecasting accuracy.
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+ ---
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+ ## Features
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+ - Modular design for adaptation to various crops and regions
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+ ---
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+ ## Requirements
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+ - Python ≥ 3.8
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+ - numpy
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+ - pandas
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+ - matplotlib
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+ - scikit-learn
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+ - scipy
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+ Install dependencies using:
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+ ```bash
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+ pip install -r requirements.txt
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