#earthobservation — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #earthobservation, aggregated by home.social.
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Satellite view of Ohio — 2026-09-22
Imagery: MODIS_Terra_CorrectedReflectance_TrueColor
https://worldview.earthdata.nasa.gov/?v=-84.82,38.4,-80.52,42.32&l=MODIS_Terra_CorrectedReflectance_TrueColor&t=2026-09-22Imagery: NASA GIBS #satellite #NASA #EarthObservation
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Want to work with the AlphaEarth Embedding data from R? 🛰️🌍
Felipe Carlos has developed an R package that makes it easier to search and retrieve AlphaEarth embeddings for your area of interest.
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Want to work with the AlphaEarth Embedding data from R? 🛰️🌍
Felipe Carlos has developed an R package that makes it easier to search and retrieve AlphaEarth embeddings for your area of interest.
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Want to work with the AlphaEarth Embedding data from R? 🛰️🌍
Felipe Carlos has developed an R package that makes it easier to search and retrieve AlphaEarth embeddings for your area of interest.
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Want to work with the AlphaEarth Embedding data from R? 🛰️🌍
Felipe Carlos has developed an R package that makes it easier to search and retrieve AlphaEarth embeddings for your area of interest.
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Want to work with the AlphaEarth Embedding data from R? 🛰️🌍
Felipe Carlos has developed an R package that makes it easier to search and retrieve AlphaEarth embeddings for your area of interest.
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Space42 and Telespazio Ibérica Begin Wildfire Monitoring in Spain supported by High Altitude Platform Systems
Space42 PLC Space42 and Telespazio Begin HAPS Wildfire Monitoring Mission in Spain Space42’s subsidiary Mira Aerospace’s ApusNeo18 transmitted…
#Spain #ES #Europe #Europa #EU #AI-poweredSpaceTech #EarthObservation #fuerteventura #HAPS #infraredsensors #LeonardoSpace #MiraAerospace #Telespazio #wildfiredetection
https://www.europesays.com/spain/89970/ -
Space42 and Telespazio Ibérica Begin Wildfire Monitoring in Spain supported by High Altitude Platform Systems https://www.byteseu.com/2390606/ #AIPoweredSpaceTech #EarthObservation #fuerteventura #Haps #InfraredSensors #LeonardoSpace #MiraAerospace #Spain #Telespazio #WildfireDetection
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A High-Resolution Habitat Map For England (LCM 3m)
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https://www.ceh.ac.uk/data/information-products/lcm-3m <-- shared data resources and overview
--
[this post should not be considered an endorsement of a specific product]
H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
“What does it take to map England's landscapes at 3m resolution?
• 12,852 satellite images processed
• 1.85 trillion pixels analysed
• Over 14 billion pixels classified
• 72 land cover and habitat classes mapped
[The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
✅ Biodiversity monitoring and BNG assessment
✅ Habitat restoration planning
✅ Natural flood management
✅ Carbon accounting
✅ Ecosystem service assessment
✅ Urban green infrastructure planning
✅ Agricultural and environmental policy development
… Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
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“LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
Key Benefits:
• 3 metre spatial resolution
• 72 habitat and land cover categories
• England-wide coverage
• Broad alignment with UK Habitat Classification (UKHab)
• 90.89% overall classification accuracy
The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
#RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
@uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey -
A High-Resolution Habitat Map For England (LCM 3m)
--
https://www.ceh.ac.uk/data/information-products/lcm-3m <-- shared data resources and overview
--
[this post should not be considered an endorsement of a specific product]
H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
“What does it take to map England's landscapes at 3m resolution?
• 12,852 satellite images processed
• 1.85 trillion pixels analysed
• Over 14 billion pixels classified
• 72 land cover and habitat classes mapped
[The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
✅ Biodiversity monitoring and BNG assessment
✅ Habitat restoration planning
✅ Natural flood management
✅ Carbon accounting
✅ Ecosystem service assessment
✅ Urban green infrastructure planning
✅ Agricultural and environmental policy development
… Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
--
“LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
Key Benefits:
• 3 metre spatial resolution
• 72 habitat and land cover categories
• England-wide coverage
• Broad alignment with UK Habitat Classification (UKHab)
• 90.89% overall classification accuracy
The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
#RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
@uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey -
A High-Resolution Habitat Map For England (LCM 3m)
--
https://www.ceh.ac.uk/data/information-products/lcm-3m <-- shared data resources and overview
--
[this post should not be considered an endorsement of a specific product]
H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
“What does it take to map England's landscapes at 3m resolution?
• 12,852 satellite images processed
• 1.85 trillion pixels analysed
• Over 14 billion pixels classified
• 72 land cover and habitat classes mapped
[The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
✅ Biodiversity monitoring and BNG assessment
✅ Habitat restoration planning
✅ Natural flood management
✅ Carbon accounting
✅ Ecosystem service assessment
✅ Urban green infrastructure planning
✅ Agricultural and environmental policy development
… Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
--
“LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
Key Benefits:
• 3 metre spatial resolution
• 72 habitat and land cover categories
• England-wide coverage
• Broad alignment with UK Habitat Classification (UKHab)
• 90.89% overall classification accuracy
The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
#RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
@uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey -
A High-Resolution Habitat Map For England (LCM 3m)
--
https://www.ceh.ac.uk/data/information-products/lcm-3m <-- shared data resources and overview
--
[this post should not be considered an endorsement of a specific product]
H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
“What does it take to map England's landscapes at 3m resolution?
• 12,852 satellite images processed
• 1.85 trillion pixels analysed
• Over 14 billion pixels classified
• 72 land cover and habitat classes mapped
[The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
✅ Biodiversity monitoring and BNG assessment
✅ Habitat restoration planning
✅ Natural flood management
✅ Carbon accounting
✅ Ecosystem service assessment
✅ Urban green infrastructure planning
✅ Agricultural and environmental policy development
… Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
--
“LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
Key Benefits:
• 3 metre spatial resolution
• 72 habitat and land cover categories
• England-wide coverage
• Broad alignment with UK Habitat Classification (UKHab)
• 90.89% overall classification accuracy
The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
#RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
@uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey -
A High-Resolution Habitat Map For England (LCM 3m)
--
https://www.ceh.ac.uk/data/information-products/lcm-3m <-- shared data resources and overview
--
[this post should not be considered an endorsement of a specific product]
H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
“What does it take to map England's landscapes at 3m resolution?
• 12,852 satellite images processed
• 1.85 trillion pixels analysed
• Over 14 billion pixels classified
• 72 land cover and habitat classes mapped
[The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
✅ Biodiversity monitoring and BNG assessment
✅ Habitat restoration planning
✅ Natural flood management
✅ Carbon accounting
✅ Ecosystem service assessment
✅ Urban green infrastructure planning
✅ Agricultural and environmental policy development
… Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
--
“LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
Key Benefits:
• 3 metre spatial resolution
• 72 habitat and land cover categories
• England-wide coverage
• Broad alignment with UK Habitat Classification (UKHab)
• 90.89% overall classification accuracy
The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
#RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
@uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey -
Point ENVI at the metadata file, not the image files.
Open the Sentinel-2 bundle through its metadata and ENVI builds the band stacks for you: the 10 m bands, the 20 m bands and the 60 m bands. Then pick any three for a colour composite.
Full walkthrough on the channel.
#RemoteSensing #GIS #ENVI #Sentinel2 #Geography #EarthObservation
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Point ENVI at the metadata file, not the image files.
Open the Sentinel-2 bundle through its metadata and ENVI builds the band stacks for you: the 10 m bands, the 20 m bands and the 60 m bands. Then pick any three for a colour composite.
Full walkthrough on the channel.
#RemoteSensing #GIS #ENVI #Sentinel2 #Geography #EarthObservation
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Point ENVI at the metadata file, not the image files.
Open the Sentinel-2 bundle through its metadata and ENVI builds the band stacks for you: the 10 m bands, the 20 m bands and the 60 m bands. Then pick any three for a colour composite.
Full walkthrough on the channel.
#RemoteSensing #GIS #ENVI #Sentinel2 #Geography #EarthObservation
-
Point ENVI at the metadata file, not the image files.
Open the Sentinel-2 bundle through its metadata and ENVI builds the band stacks for you: the 10 m bands, the 20 m bands and the 60 m bands. Then pick any three for a colour composite.
Full walkthrough on the channel.
#RemoteSensing #GIS #ENVI #Sentinel2 #Geography #EarthObservation
-
Point ENVI at the metadata file, not the image files.
Open the Sentinel-2 bundle through its metadata and ENVI builds the band stacks for you: the 10 m bands, the 20 m bands and the 60 m bands. Then pick any three for a colour composite.
Full walkthrough on the channel.
#RemoteSensing #GIS #ENVI #Sentinel2 #Geography #EarthObservation
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Every year, at least one person gets these the wrong way round and wonders why their study area is in the Indian Ocean.
In Google Earth Engine, a point is longitude first, then latitude.
Then three filters: bounds, date and cloud. Where, when and what, the same three questions the browser asked.
#GoogleEarthEngine #RemoteSensing #GIS #Coding #Geography #EarthObservation
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Every year, at least one person gets these the wrong way round and wonders why their study area is in the Indian Ocean.
In Google Earth Engine, a point is longitude first, then latitude.
Then three filters: bounds, date and cloud. Where, when and what, the same three questions the browser asked.
#GoogleEarthEngine #RemoteSensing #GIS #Coding #Geography #EarthObservation
-
Every year, at least one person gets these the wrong way round and wonders why their study area is in the Indian Ocean.
In Google Earth Engine, a point is longitude first, then latitude.
Then three filters: bounds, date and cloud. Where, when and what, the same three questions the browser asked.
#GoogleEarthEngine #RemoteSensing #GIS #Coding #Geography #EarthObservation
-
Every year, at least one person gets these the wrong way round and wonders why their study area is in the Indian Ocean.
In Google Earth Engine, a point is longitude first, then latitude.
Then three filters: bounds, date and cloud. Where, when and what, the same three questions the browser asked.
#GoogleEarthEngine #RemoteSensing #GIS #Coding #Geography #EarthObservation
-
Every year, at least one person gets these the wrong way round and wonders why their study area is in the Indian Ocean.
In Google Earth Engine, a point is longitude first, then latitude.
Then three filters: bounds, date and cloud. Where, when and what, the same three questions the browser asked.
#GoogleEarthEngine #RemoteSensing #GIS #Coding #Geography #EarthObservation
-
Twenty minutes of pointing and clicking found three satellite scenes.
Every Sentinel-2 scene over this area for the last five years? I'm not clicking through that. I'm certainly not downloading it.
Google Earth Engine asks the same three questions, where, when and what, as code instead of clicks. The data never leaves Google's side.
#GoogleEarthEngine #RemoteSensing #GIS #Sentinel2 #Geography #EarthObservation
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Twenty minutes of pointing and clicking found three satellite scenes.
Every Sentinel-2 scene over this area for the last five years? I'm not clicking through that. I'm certainly not downloading it.
Google Earth Engine asks the same three questions, where, when and what, as code instead of clicks. The data never leaves Google's side.
#GoogleEarthEngine #RemoteSensing #GIS #Sentinel2 #Geography #EarthObservation
-
Twenty minutes of pointing and clicking found three satellite scenes.
Every Sentinel-2 scene over this area for the last five years? I'm not clicking through that. I'm certainly not downloading it.
Google Earth Engine asks the same three questions, where, when and what, as code instead of clicks. The data never leaves Google's side.
#GoogleEarthEngine #RemoteSensing #GIS #Sentinel2 #Geography #EarthObservation
-
Twenty minutes of pointing and clicking found three satellite scenes.
Every Sentinel-2 scene over this area for the last five years? I'm not clicking through that. I'm certainly not downloading it.
Google Earth Engine asks the same three questions, where, when and what, as code instead of clicks. The data never leaves Google's side.
#GoogleEarthEngine #RemoteSensing #GIS #Sentinel2 #Geography #EarthObservation
-
Twenty minutes of pointing and clicking found three satellite scenes.
Every Sentinel-2 scene over this area for the last five years? I'm not clicking through that. I'm certainly not downloading it.
Google Earth Engine asks the same three questions, where, when and what, as code instead of clicks. The data never leaves Google's side.
#GoogleEarthEngine #RemoteSensing #GIS #Sentinel2 #Geography #EarthObservation
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The choice between a browser and a STAC catalogue is really a choice between working on one scene and working on a thousand.
A cloud-optimised GeoTIFF lets software read one square kilometre out of a 100 km scene without downloading the scene. Download-then-process becomes process-where-the-data-lives.
The interface is the symptom. The compute model is the cause.
#RemoteSensing #GIS #STAC #CloudComputing #Geography #EarthObservation
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The choice between a browser and a STAC catalogue is really a choice between working on one scene and working on a thousand.
A cloud-optimised GeoTIFF lets software read one square kilometre out of a 100 km scene without downloading the scene. Download-then-process becomes process-where-the-data-lives.
The interface is the symptom. The compute model is the cause.
#RemoteSensing #GIS #STAC #CloudComputing #Geography #EarthObservation
-
The choice between a browser and a STAC catalogue is really a choice between working on one scene and working on a thousand.
A cloud-optimised GeoTIFF lets software read one square kilometre out of a 100 km scene without downloading the scene. Download-then-process becomes process-where-the-data-lives.
The interface is the symptom. The compute model is the cause.
#RemoteSensing #GIS #STAC #CloudComputing #Geography #EarthObservation
-
The choice between a browser and a STAC catalogue is really a choice between working on one scene and working on a thousand.
A cloud-optimised GeoTIFF lets software read one square kilometre out of a 100 km scene without downloading the scene. Download-then-process becomes process-where-the-data-lives.
The interface is the symptom. The compute model is the cause.
#RemoteSensing #GIS #STAC #CloudComputing #Geography #EarthObservation
-
The choice between a browser and a STAC catalogue is really a choice between working on one scene and working on a thousand.
A cloud-optimised GeoTIFF lets software read one square kilometre out of a 100 km scene without downloading the scene. Download-then-process becomes process-where-the-data-lives.
The interface is the symptom. The compute model is the cause.
#RemoteSensing #GIS #STAC #CloudComputing #Geography #EarthObservation
-
LC09_L2SP_030027_20260723_20260725_02_T1 is not noise.
Landsat 9. Level-2 science product. WRS path 30, row 27. Acquired, processed, Collection 2, Tier 1.
Once you can read a scene ID, you can judge a scene from its filename alone, before you download a single byte.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
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LC09_L2SP_030027_20260723_20260725_02_T1 is not noise.
Landsat 9. Level-2 science product. WRS path 30, row 27. Acquired, processed, Collection 2, Tier 1.
Once you can read a scene ID, you can judge a scene from its filename alone, before you download a single byte.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
LC09_L2SP_030027_20260723_20260725_02_T1 is not noise.
Landsat 9. Level-2 science product. WRS path 30, row 27. Acquired, processed, Collection 2, Tier 1.
Once you can read a scene ID, you can judge a scene from its filename alone, before you download a single byte.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
LC09_L2SP_030027_20260723_20260725_02_T1 is not noise.
Landsat 9. Level-2 science product. WRS path 30, row 27. Acquired, processed, Collection 2, Tier 1.
Once you can read a scene ID, you can judge a scene from its filename alone, before you download a single byte.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
LC09_L2SP_030027_20260723_20260725_02_T1 is not noise.
Landsat 9. Level-2 science product. WRS path 30, row 27. Acquired, processed, Collection 2, Tier 1.
Once you can read a scene ID, you can judge a scene from its filename alone, before you download a single byte.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Download Level 1 when you needed Level 2 and it costs you an afternoon and several gigabytes.
Check the processing level before you click download. Every single time.
And that 8% cloud cover? It describes the whole 185 km footprint. It tells you nothing about your own study area.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Download Level 1 when you needed Level 2 and it costs you an afternoon and several gigabytes.
Check the processing level before you click download. Every single time.
And that 8% cloud cover? It describes the whole 185 km footprint. It tells you nothing about your own study area.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Download Level 1 when you needed Level 2 and it costs you an afternoon and several gigabytes.
Check the processing level before you click download. Every single time.
And that 8% cloud cover? It describes the whole 185 km footprint. It tells you nothing about your own study area.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Download Level 1 when you needed Level 2 and it costs you an afternoon and several gigabytes.
Check the processing level before you click download. Every single time.
And that 8% cloud cover? It describes the whole 185 km footprint. It tells you nothing about your own study area.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Download Level 1 when you needed Level 2 and it costs you an afternoon and several gigabytes.
Check the processing level before you click download. Every single time.
And that 8% cloud cover? It describes the whole 185 km footprint. It tells you nothing about your own study area.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Every remote sensing project starts with the same two questions. Where do I get the data? And what do I do with the file once I have it?
One request, three doors: USGS EarthExplorer, the Copernicus Browser and a STAC catalogue. Same place, same dates, so you can see exactly how they differ.
Full walkthrough on the channel.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Every remote sensing project starts with the same two questions. Where do I get the data? And what do I do with the file once I have it?
One request, three doors: USGS EarthExplorer, the Copernicus Browser and a STAC catalogue. Same place, same dates, so you can see exactly how they differ.
Full walkthrough on the channel.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Every remote sensing project starts with the same two questions. Where do I get the data? And what do I do with the file once I have it?
One request, three doors: USGS EarthExplorer, the Copernicus Browser and a STAC catalogue. Same place, same dates, so you can see exactly how they differ.
Full walkthrough on the channel.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Every remote sensing project starts with the same two questions. Where do I get the data? And what do I do with the file once I have it?
One request, three doors: USGS EarthExplorer, the Copernicus Browser and a STAC catalogue. Same place, same dates, so you can see exactly how they differ.
Full walkthrough on the channel.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation
-
Every remote sensing project starts with the same two questions. Where do I get the data? And what do I do with the file once I have it?
One request, three doors: USGS EarthExplorer, the Copernicus Browser and a STAC catalogue. Same place, same dates, so you can see exactly how they differ.
Full walkthrough on the channel.
#RemoteSensing #GIS #Landsat #Sentinel2 #Geography #EarthObservation