- Goal: Provide an overview of the products offered by Planet, including Planetscope, SkySat Archive, and SkySat Tasking.
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Highlight Key Products:
- Planetscope: Daily imaging capabilities with medium-resolution imagery.
- SkySat Archive: High-resolution satellite imagery; archive data covers several years.
- SkySat Tasking: Tasked satellite imagery for specific, high-priority locations.
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Use Cases: Share a few real-world examples where these products are used for agricultural monitoring, disaster response, or urban planning.
- Tip: Use San Francisco or another well-known region to show Planetscope imagery.
- Additional Information: Mention that SkySat tasking is used when users need customized, high-resolution data for dynamic events.
- Goal: Show participants how to use the Planet Explorer GUI to search, preview, and order imagery.
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Demo Features:
- Walk through searching by area of interest (AOI) using bounding boxes or polygons.
- Show participants how to apply filters like date range, cloud cover, and product types.
- Demonstrate how to preview imagery in Planet Explorer.
- Explain how imagery ordering works, especially for new users unfamiliar with data access.
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Additional Highlights:
- Emphasize the cloud coverage filter to help participants narrow down clear images.
- Mention the “Order to Download” feature for immediate access once the imagery is processed.
- Live Search Exercise: Ask participants to choose an AOI (e.g., their hometown or a region of interest) and guide them through the search, preview, and ordering steps.
- Goal: Explain the utility of Planet’s basemap services and how to use them in external platforms through XYZ tiles.
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Basemaps Overview: Basemaps are seamless mosaics built from daily satellite imagery, ideal for long-term monitoring.
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Demonstrate XYZ Tile Usage:
- Explain what XYZ tiles are and how they integrate into web apps or GIS platforms.
- Show how to obtain and use XYZ tile URLs for projects like QGIS or Leaflet-based web maps.
- Hands-On with QGIS: Show how to load Planet’s basemaps using XYZ tiles into QGIS or demonstrate how it can be embedded in a web map using Leaflet.js or Mapbox.
- Goal: Introduce the Planet API and SDK for programmatic access to satellite data. Guide participants through the Lake Lagunita Python Notebook to showcase practical usage.
- API and SDK Basics:
- Explain what the Planet API is: a tool that allows users to search, download, and analyze satellite imagery programmatically.
- Cover SDK basics, including authentication and how the API integrates with Python.
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Setup: Ensure participants have their API keys and Python environments ready.
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Walk through the Lake Lagunita example notebook:
- Querying the API: Guide users to query Planetscope imagery over Lake Lagunita, showing how to filter results based on cloud cover and date range.
- Downloading Data: Show participants how to download imagery metadata and actual data.
- Visualization: Use Matplotlib to visualize the imagery and discuss how to analyze different spectral bands.
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Additional Highlights:
- Discuss filtering by AOI, cloud coverage, and date range.
- Emphasize how to use Jupyter Notebooks for iterative analysis.
- Notebook Hands-On: Have participants run the Lake Lagunita notebook on their local machines. Encourage them to tweak the AOI and date ranges to observe different imagery outputs.
- Goal: Provide a guide to available support and resources for continued learning.
- Planet University: Highlight the extensive resources available through Planet University for self-paced learning.
- Stanford Geospatial Center Support: Mention any specific support channels or documentation available via the SGC.
- Planet Community Forum: Encourage participants to join the Planet Community for peer support and networking.
- Tip: Remind participants to explore further using Planet’s API documentation and the Python SDK for custom integrations.
- Encouragement: Highlight the flexibility of Planet’s products and APIs for a wide range of applications in environmental monitoring, urban planning, and more.