Query Imagery

# 100 most recent infrared images
curl "https://avert.ldeo.columbia.edu/api/imagery/q"

# Images from Cleveland site
curl "https://avert.ldeo.columbia.edu/api/imagery/q?site=CLNE&limit=50"

# November 2025
curl "https://avert.ldeo.columbia.edu/api/imagery/q?\
datefrom=20251101000000&\
dateto=20251130235959&\
limit=100"

# Clear daytime infrared images
curl "https://avert.ldeo.columbia.edu/api/imagery/q?\
imageType=infrared&\
is_night=false&\
has_fog=false&\
has_clouds=false&\
limit=50"

# One image per hour from November
curl "https://avert.ldeo.columbia.edu/api/imagery/q?\
site=VPMI&\
freq=hourly&\
datefrom=20251101000000&\
dateto=20251130235959&\
limit=200"

# Step 1: Get download estimate
curl "https://avert.ldeo.columbia.edu/api/imagery/q?\
site=VPMI&\
datefrom=20251201000000&\
dateto=20251201235959&\
download=estimate"

# Response shows: 1440 images, 239 MB, 24 seconds

// Query recent infrared images
const response = await fetch(
  'https://avert.ldeo.columbia.edu/api/imagery/q?imageType=infrared&limit=20'
);
const data = await response.json();

console.log(`Total results: ${data.results.length}`);
console.log(`Page ${data.pagination.page} of ${data.pagination.total_pages}`);

// Display images
data.results.forEach(img => {
  const imgElement = document.createElement('img');
  imgElement.src = img.image_url;
  imgElement.alt = img.image_id;
  document.body.appendChild(imgElement);
});

import requests

# Query recent infrared images
response = requests.get(
    'https://avert.ldeo.columbia.edu/api/imagery/q',
    params={
        'imageType': 'infrared',
        'site': 'CLNE',
        'limit': 50
    }
)
data = response.json()

print(f"Total results: {len(data['results'])}")
print(f"Page {data['pagination']['page']} of {data['pagination']['total_pages']}")

for img in data['results']:
    print(f"{img['image_id']}: {img['image_url']}")

import requests
import time

def query_with_retry(url, params, max_retries=3):
    """Query with exponential backoff on rate limits"""
    for attempt in range(max_retries):
        response = requests.get(url, params=params)
        
        if response.status_code == 200:
            return response.json()
        elif response.status_code == 429:
            # Rate limited - wait and retry
            wait_time = 2 ** attempt  # Exponential backoff
            print(f"Rate limited. Waiting {wait_time} seconds...")
            time.sleep(wait_time)
        else:
            response.raise_for_status()
    
    raise Exception("Max retries exceeded")

# Usage
data = query_with_retry(
    'https://avert.ldeo.columbia.edu/api/imagery/q',
    params={'limit': 50, 'site': 'CLNE'}
)