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Burn scar mapping - Rhodes - July, 2023

CompletedSubmittedSep 10, 2026, 4:27 PM ID 01a08bb7-cb5d-16d4-93ee-69c91096755e
Tasks7
computed7
Progress
100%Overall4/4

Results

Satellite imagery with an orange-red burn overlay across the central and southern portion of an island.

File properties

Namedelta-nbr-rhodes-2023-07.tif
DescriptionChange in normalized burn ratio (Rhodes, July 2023)
TypeCloud-optimized GeoTIFF
Size11.4 MB
Trusted by
The Compression CompanyDPHI SpaceFindusEarthSavvyESAUnibap

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Query areaScene footprints
query(sentinel2, Sep 1-10 2026, sicily_polygon, cloud_cover < 10%) Reveal codeHide code 
from tilebox.datasets import Client, field
from shapely import Polygon

sicily = Polygon([
    (15.22, 36.56), (15.65, 38.34), (12.33, 38.28),
    (12.20, 37.57), (15.22, 36.56),
])
data = Client().dataset("open_data.aws_earth.sentinel2").query(
    temporal_extent=("2026-09-01", "2026-09-10"),
    spatial_extent=sicily,
    filter=field("cloud_cover") < 10
)

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On demand Triggered by a human, application or agent
OR
Scheduled Every morning over monitored facilities
datacenter_buildout.pyPython 
class ComputeDatacenterChange(Task):
    area: Polygon
    time_range: tuple[datetime, datetime]

    def execute(self, context):
        scenes = query_sentinel2_scenes(
          self.area, self.time_range
        )
        for scene in scenes:
            context.submit_subtask(
                ProcessScene(scene.id.item(),
                    cluster="aws-us-west2-runners")
            )

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Completed9 / 9 tasks0 failed
  • runner-a
  • runner-b
  • runner-c
  • runner-d
  • runner-e

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See which tasks ran, where they ran, and the logs behind them. Diagnose a failure, fix its cause, and retry the job while preserving completed work.

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Chesterfield Google Data Center on April 24, 2026 Chesterfield Google Data Center on April 29, 2024
Chesterfield Google Data Center

Virginia · Google

100change score

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“When we needed thermal data, we added Landsat in hours. If we had built this ourselves with open source tools, that would have taken weeks.”

Matt Evans

Matt Evans CEO and Co-Founder, EarthSavvy

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Common questions

We already have a catalog and scheduler. Why use Tilebox?

With separate tools, your team maintains the connections between data discovery, task execution, and debugging. Tilebox brings a live geospatial catalog, workflow coordination, and job-level logs and traces into one system, including workflows that span different compute environments. You still configure your processing and data access, but have fewer connections to build and maintain. Start with one workflow where that work is slowing your team down.

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