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get_earth_imagery

Retrieve Landsat 8 satellite imagery of Earth locations by specifying coordinates and date to access visual data for analysis and monitoring.

Instructions

Get Earth imagery from Landsat 8 satellite.

Args: lat: Latitude. lon: Longitude. date: Image date in YYYY-MM-DD format. If not specified, the most recent image is used. dim: Width and height of the image in degrees (0.025 degrees is approximately 2.7 km). cloud_score: Calculate the percentage of the image covered by clouds (currently not available).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYes
lonYes
dateNo
dimNo
cloud_scoreNo

Implementation Reference

  • The handler function implementing the 'get_earth_imagery' MCP tool. It queries the NASA Earth Imagery API for Landsat 8 satellite images at given coordinates, handles responses including binary images and errors, and formats the output with metadata and image URL.
    @mcp.tool()
    async def get_earth_imagery(lat: float, lon: float, date: str = None, dim: float = 0.025, cloud_score: bool = False) -> str:
        """Get Earth imagery from Landsat 8 satellite.
        
        Args:
            lat: Latitude.
            lon: Longitude.
            date: Image date in YYYY-MM-DD format. If not specified, the most recent image is used.
            dim: Width and height of the image in degrees (0.025 degrees is approximately 2.7 km).
            cloud_score: Calculate the percentage of the image covered by clouds (currently not available).
        """
        params = {
            "lat": lat,
            "lon": lon,
            "dim": dim
        }
        
        if date:
            params["date"] = date
        # cloud_score parameter seems deprecated or unavailable based on docs
        # if cloud_score:
        #     params["cloud_score"] = "True"
        
        url = f"{NASA_API_BASE}/planetary/earth/imagery"
        data = await make_nasa_request(url, params)
        
        if not data:
            return "Could not retrieve Earth imagery due to a connection error."
        
        # Check for error response (must be a dictionary)
        if isinstance(data, dict) and "error" in data:
            # Handle specific case where API returns error message instead of image/JSON
            if isinstance(data.get("details"), str) and "No Landsat 8 imagery available" in data["details"]:
                 return f"No Landsat 8 imagery available for the specified location and date (Lat: {lat}, Lon: {lon}, Date: {date or 'latest'})."
            return f"API Error: {data.get('error')} - Details: {data.get('details', 'N/A')}"
        
        # Handle binary content
        if isinstance(data, dict) and data.get("binary_content"):
            # The API returned the image directly
            return f"Received image data directly ({data.get('content_type')}). Cannot display image content, but the image is available at the requested URL: {data.get('url')}"
    
        # If it's not binary, it should be JSON containing the URL
        try:
            result = [
                f"Earth image metadata for coordinates: Lat {lat}, Lon {lon}",
                f"Date: {data.get('date', 'Unknown')}",
                f"ID: {data.get('id', 'Unknown')}",
                f"Image URL: {data.get('url', 'Not available')}" # This URL should point to the image
            ]
            
            # Cloud score might be present in JSON even if binary isn't returned
            if 'cloud_score' in data and data['cloud_score'] is not None: # Check for None explicitly
                result.append(f"Cloud score: {data.get('cloud_score')}")
            else:
                result.append("Cloud score: Not available")
    
            return "n".join(result)
        except Exception as e:
            logger.error(f"Error processing Earth Imagery JSON data: {str(e)}")
            return f"Error processing Earth imagery data: {str(e)}"
  • Helper function used by get_earth_imagery to make HTTP requests to NASA APIs, handling JSON parsing, binary image responses, errors, and API key injection.
    async def make_nasa_request(url: str, params: dict = None) -> Union[dict[str, Any], List[Any], None]:
        """Make a request to the NASA API with proper error handling.
        Handles both JSON and binary (image) responses.
        """
        
        logger.info(f"Making request to: {url} with params: {params}")
        
        if params is None:
            params = {}
        
        # Ensure API key is included in parameters
        if "api_key" not in params:
            params["api_key"] = API_KEY
        
        async with httpx.AsyncClient() as client:
            try:
                response = await client.get(url, params=params, timeout=30.0, follow_redirects=True)
                response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)
    
                content_type = response.headers.get("Content-Type", "").lower()
                
                if "application/json" in content_type:
                    try:
                        return response.json()
                    except json.JSONDecodeError as json_err:
                        logger.error(f"JSON decode error for URL {response.url}: {json_err}")
                        logger.error(f"Response text: {response.text[:500]}") # Log beginning of text
                        return {"error": "Failed to decode JSON response", "details": str(json_err)}
                elif content_type.startswith("image/"):
                    logger.info(f"Received binary image content ({content_type}) from {response.url}")
                    # Return a dictionary indicating binary content was received
                    return {
                        "binary_content": True, 
                        "content_type": content_type,
                        "url": str(response.url) # Return the final URL after redirects
                    }
                else:
                    # Handle other unexpected content types
                    logger.warning(f"Unexpected content type '{content_type}' received from {response.url}")
                    return {"error": f"Unexpected content type: {content_type}", "content": response.text[:500]}
    
            except httpx.HTTPStatusError as http_err:
                logger.error(f"HTTP error occurred: {http_err} - {http_err.response.status_code} for URL {http_err.request.url}")
                try:
                    # Try to get more details from response body if possible
                    error_details = http_err.response.json()
                except Exception:
                    error_details = http_err.response.text[:500]
                return {"error": f"HTTP error: {http_err.response.status_code}", "details": error_details}
            except httpx.RequestError as req_err:
                logger.error(f"Request error occurred: {req_err} for URL {req_err.request.url}")
                return {"error": "Request failed", "details": str(req_err)}
            except Exception as e:
                logger.error(f"An unexpected error occurred: {str(e)}")
                return {"error": "An unexpected error occurred", "details": str(e)}
  • The @mcp.tool() decorator registers the get_earth_imagery function as an MCP tool with FastMCP.
    @mcp.tool()

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