depth-any-canopy-base Open Source Model - Free Processing of NEON Aerial Images for Precise Canopy Height Estimation

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Depth Any Canopy Base

Developed by DarthReca

A canopy height estimation model fine-tuned based on Depth-Anything-Base, suitable for processing NEON aerial images

3D Vision

Transformers

Open Source License:Apache-2.0 #Aerial Canopy Height Estimation #NEON Image Processing #RGB Depth Estimation

Downloads 95

Release Time : 7/29/2024

Model Overview

This model is a depth estimation model fine-tuned on the filtered EarthView dataset, specifically designed for canopy height estimation, primarily covering the US region.

Model Features

Specialized Canopy Height Estimation

Optimized specifically for canopy height estimation tasks, delivering better performance compared to general depth estimation models

US Region Optimization

The model is optimized for aerial images of the US region, performing best in this area

RGB Image Processing

Requires only RGB channel images for canopy height estimation, eliminating the need for hyperspectral data

Model Capabilities

Aerial image depth estimation

Canopy height prediction

RGB image analysis

Use Cases

Forestry Monitoring

Forest Resource Survey

Estimate canopy height through aerial images to assess forest resource conditions

Carbon Sequestration Assessment

Estimate forest carbon storage based on canopy height data

Ecological Research

Ecosystem Monitoring

Monitor changes and development trends in forest ecosystems

🚀 Depth Any Canopy Base

This is the base version of the Depth Any Canopy model presented in the Depth Any Canopy Paper. It's designed for canopy height estimation and a Small version is also available.

🚀 Quick Start

Use the code below to start using the model:

Basic Usage

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("depth-estimation", model="DarthReca/depth-any-canopy-base")

# Load model directly
from transformers import AutoModelForDepthEstimation

model = AutoModelForDepthEstimation.from_pretrained("DarthReca/depth-any-canopy-base")

✨ Features

The model is Depth-Anything-Base finetuned for canopy height estimation on a filtered set of EarthView.
It can work with aerial imagery of NEON, though its coverage is limited to the US.

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

Model Details

The model is Depth-Anything-Base finetuned for canopy height estimation on a filtered set of EarthView.

Property	Details
Model Type	Depth-Anything-Base finetuned for canopy height estimation
Training Data	Filtered set of EarthView
License	Apache 2.0
Finetuned from model	Depth-Anything-Base

Uses and Limitations

The model can work with aerial imagery of NEON, but its coverage is limited to the US. We cannot guarantee its generalizability over other areas of the globe. The images cover only RGB channels; no study of hyperspectral imagery was done.

⚠️ Important Note

The model's coverage is limited to the US, and its generalizability over other areas of the globe cannot be guaranteed. The images used only cover RGB channels, and no study of hyperspectral imagery was conducted.

Environmental Impact

Carbon Emitted: 0.14 kgCO2

Carbon emissions are estimated using the Machine Learning Impact calculator.

Citation

BibTeX:

@misc{cambrin2024depthcanopyleveragingdepth,
      title={Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation}, 
      author={Daniele Rege Cambrin and Isaac Corley and Paolo Garza},
      year={2024},
      eprint={2408.04523},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2408.04523}, 
}

📄 License

The model is licensed under the Apache 2.0 license.

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