描述

Mangroves are critical to the maintenance and conservation of healthy coastal ecosystems. They are extremely rich in biodiversity and are home to a diverse set of plant and animal species. Mangroves protect inland coastal areas from erosion and storm surge impacts such as from tsunamis. These factors make mangrove monitoring and conservation an important activity. Due to various climatic phenomena and coastal activity such as reclamation for development, mangrove forests are rapidly shrinking. This warrants active monitoring and conservation efforts of mangroves. This deep learning model enables rapid monitoring of mangrove forests.
红树林对于维护和保护健康的沿海生态系统至关重要。它们拥有极其丰富的生物多样性，是众多动植物物种的家园。红树林保护内陆沿海地区免受侵蚀和海啸等风暴潮的影响。这些因素使得红树林的监测和保护成为一项重要活动。由于各种气候现象和诸如填海造地开发等沿海活动，红树林正在迅速萎缩。这需要对红树林进行积极的监测和保护。这种深度学习模型可以快速监测红树林。

Using the model

Follow this guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.

Fine-tuning the model
This model can be fine-tuned using the Train Deep Learning Model tool. Follow the guide to fine-tune this model.

Input
Surface Reflectance (Collection 2 Level 2) imagery acquired by the Landsat 8 Sensor in form of a raster, mosaic dataset or image service.

Output
Classified raster containing two classes: mangrove and other.

Applicable geographies
This model is expected to work well globally.

Model architecture

This model uses the UNet model architecture implemented in ArcGIS API for Python.

Accuracy metrics
The mangrove class has a precision of 0.85, recall of 0.80 and F1 score of 0.82.

Training data
This model has been trained on the Global Mangrove Watch dataset with Landsat 8 Scenes from the same time.

Reference:

dataset

  • 儋州1：总面积: 0.82 平方公里
  • 儋州2：总面积: 0.57 平方公里
  • 儋州3：总面积: 1.05 平方公里
  • 陵水1：总面积: 0.30 平方公里
  • 陵水2：总面积: 0.33 平方公里
  • 陵水4：总面积: 0.48 平方公里
  • 万宁1：总面积: 2.36 平方公里