Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-06-28 12:03:27	ga_s2am_ard_3-2-1_50KMC_2023-06-28_final.stac-item
2023-06-28 12:03:37	ga_s2am_ard_3-2-1_50KNB_2023-06-28_final.stac-item
2023-06-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-28_final.stac-item
2023-06-28 12:04:03	ga_s2am_ard_3-2-1_50KKA_2023-06-28_final.stac-item
2023-06-28 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-28_final.stac-item
2023-06-28 12:04:14	ga_s2am_ard_3-2-1_50KLV_2023-06-28_final.stac-item
2023-06-28 12:04:17	ga_s2am_ard_3-2-1_50KKV_2023-06-28_final.stac-item
2023-06-28 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2023-06-28_final.stac-item
2023-06-28 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-06-28_final.stac-item
2023-06-28 12:04:25	ga_s2am_ard_3-2-1_50KMU_2023-06-28_final.stac-item
2023-06-28 12:04:29	ga_s2am_ard_3-2-1_50KLU_2023-06-28_final.stac-item
2023-06-28 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-06-28_final.stac-item
2023-06-28 12:04:32	ga_s2am_ard_3-2-1_50KKU_2023-06-28_final.stac-item
2023-06-28 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-06-28_final.stac-item
2023-06-28 12:04:39	ga_s2am_ard_3-2-1_50JMT_2023-06-28_final.stac-item
2023-06-28 12:04:46	ga_s2am_ard_3-2-1_49JHN_2023-06-28_final.stac-item
2023-06-28 12:04:48	ga_s2am_ard_3-2-1_49JGN_2023-06-28_final.stac-item
2023-06-28 12:04:52	ga_s2am_ard_3-2-1_49JHN_2023-06-28_final.stac-item
2023-06-28 12:04:52	ga_s2am_ard_3-2-1_49JHM_2023-06-28_final.stac-item
2023-06-28 12:04:54	ga_s2am_ard_3-2-1_49JGN_2023-06-28_final.stac-item
2023-06-28 12:05:01	ga_s2am_ard_3-2-1_49JHM_2023-06-28_final.stac-item
2023-06-28 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-06-28_final.stac-item
2023-06-28 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-06-28_final.stac-item
2023-06-28 12:05:12	ga_s2am_ard_3-2-1_49JFM_2023-06-28_final.stac-item
2023-06-28 12:05:19	ga_s2am_ard_3-2-1_49JGL_2023-06-28_final.stac-item
2023-06-28 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2023-06-28_final.stac-item
2023-06-28 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-28_final.stac-item
2023-06-28 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-06-28_final.stac-item
2023-06-28 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-28_final.stac-item
2023-06-28 12:06:02	ga_s2am_ard_3-2-1_49JGH_2023-06-28_final.stac-item
2023-06-28 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-06-28_final.stac-item
2023-06-28 12:06:14	ga_s2am_ard_3-2-1_50JKM_2023-06-28_final.stac-item
2023-06-28 12:06:18	ga_s2am_ard_3-2-1_50JLL_2023-06-28_final.stac-item
2023-06-29 11:31:35	ga_s2am_ard_3-2-1_51LWE_2023-06-29_final.stac-item
2023-06-29 11:31:57	ga_s2am_ard_3-2-1_51LYC_2023-06-29_final.stac-item
2023-06-29 11:32:30	ga_s2am_ard_3-2-1_51KXA_2023-06-29_final.stac-item
2023-06-29 11:32:41	ga_s2am_ard_3-2-1_51KYV_2023-06-29_final.stac-item
2023-06-29 11:32:44	ga_s2am_ard_3-2-1_51KXV_2023-06-29_final.stac-item
2023-06-29 11:32:48	ga_s2am_ard_3-2-1_51KWV_2023-06-29_final.stac-item
2023-06-29 11:32:51	ga_s2am_ard_3-2-1_51KVV_2023-06-29_final.stac-item
2023-06-29 11:32:54	ga_s2am_ard_3-2-1_51KYU_2023-06-29_final.stac-item
2023-06-29 11:32:59	ga_s2am_ard_3-2-1_51KXU_2023-06-29_final.stac-item
2023-06-29 11:33:02	ga_s2am_ard_3-2-1_51KWU_2023-06-29_final.stac-item
2023-06-29 11:33:06	ga_s2am_ard_3-2-1_51KVU_2023-06-29_final.stac-item
2023-06-29 11:33:26	ga_s2am_ard_3-2-1_51KUT_2023-06-29_final.stac-item
2023-06-29 11:33:42	ga_s2am_ard_3-2-1_51KXR_2023-06-29_final.stac-item
2023-06-29 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-06-29_final.stac-item
2023-06-29 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2023-06-29_final.stac-item
2023-06-29 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2023-06-29_final.stac-item
2023-06-29 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2023-06-29_final.stac-item
2023-06-29 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2023-06-29_final.stac-item
2023-06-29 11:34:15	ga_s2am_ard_3-2-1_51KWP_2023-06-29_final.stac-item
2023-06-29 11:34:19	ga_s2am_ard_3-2-1_51JXN_2023-06-29_final.stac-item
2023-06-29 11:34:22	ga_s2am_ard_3-2-1_51KUP_2023-06-29_final.stac-item
2023-06-29 11:34:33	ga_s2am_ard_3-2-1_51JVN_2023-06-29_final.stac-item
2023-06-29 11:34:36	ga_s2am_ard_3-2-1_51JUN_2023-06-29_final.stac-item
2023-06-29 11:34:40	ga_s2am_ard_3-2-1_51JTN_2023-06-29_final.stac-item
2023-06-29 11:34:53	ga_s2am_ard_3-2-1_51JTM_2023-06-29_final.stac-item
2023-06-29 11:34:58	ga_s2am_ard_3-2-1_51JWL_2023-06-29_final.stac-item
2023-06-29 11:35:12	ga_s2am_ard_3-2-1_51JWK_2023-06-29_final.stac-item
2023-06-29 11:35:16	ga_s2am_ard_3-2-1_51JVK_2023-06-29_final.stac-item
2023-06-29 11:35:20	ga_s2am_ard_3-2-1_51JUK_2023-06-29_final.stac-item
2023-06-29 11:35:31	ga_s2am_ard_3-2-1_51JVJ_2023-06-29_final.stac-item
2023-06-29 11:35:34	ga_s2am_ard_3-2-1_51JUJ_2023-06-29_final.stac-item
2023-06-29 11:35:49	ga_s2am_ard_3-2-1_51JUH_2023-06-29_final.stac-item
2023-06-29 11:35:54	ga_s2am_ard_3-2-1_50JQN_2023-06-29_final.stac-item
2023-06-29 11:36:07	ga_s2am_ard_3-2-1_51JTG_2023-06-29_final.stac-item
2023-06-29 11:36:09	ga_s2am_ard_3-2-1_50JQM_2023-06-29_final.stac-item
2023-06-29 11:36:14	ga_s2am_ard_3-2-1_51JVF_2023-06-29_final.stac-item
2023-06-29 11:36:21	ga_s2am_ard_3-2-1_51JTF_2023-06-29_final.stac-item
2023-06-29 11:36:30	ga_s2am_ard_3-2-1_50JPL_2023-06-29_final.stac-item
2023-06-29 11:36:38	ga_s2am_ard_3-2-1_50HQK_2023-06-29_final.stac-item
2023-06-29 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-06-29_final.stac-item
2023-06-29 11:36:47	ga_s2am_ard_3-2-1_51HUD_2023-06-29_final.stac-item
2023-06-29 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-29_final.stac-item
2023-06-29 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-29_final.stac-item
2023-06-29 11:37:01	ga_s2am_ard_3-2-1_51HUC_2023-06-29_final.stac-item
2023-06-29 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-06-29_final.stac-item
2023-06-29 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-29_final.stac-item
2023-06-29 11:37:20	ga_s2am_ard_3-2-1_51HTB_2023-06-29_final.stac-item
2023-06-29 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-06-29_final.stac-item
2023-06-29 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-29_final.stac-item
2023-06-29 11:37:30	ga_s2am_ard_3-2-1_50HNG_2023-06-29_final.stac-item
2023-07-11 12:13:30	ga_s2am_ard_3-2-1_49KFU_2023-07-11_nrt.stac-item
2023-07-11 12:13:34	ga_s2am_ard_3-2-1_49KHT_2023-07-11_nrt.stac-item
2023-07-11 12:13:36	ga_s2am_ard_3-2-1_49KGT_2023-07-11_nrt.stac-item
2023-07-11 12:13:38	ga_s2am_ard_3-2-1_49KFT_2023-07-11_nrt.stac-item
2023-07-11 12:13:49	ga_s2am_ard_3-2-1_49KGS_2023-07-11_nrt.stac-item
2023-07-11 12:13:52	ga_s2am_ard_3-2-1_49KFS_2023-07-11_nrt.stac-item
2023-07-11 12:14:21	ga_s2am_ard_3-2-1_49KFQ_2023-07-11_nrt.stac-item
2023-07-11 12:14:36	ga_s2am_ard_3-2-1_49KFP_2023-07-11_nrt.stac-item
2023-07-11 12:15:19	ga_s2am_ard_3-2-1_49JFL_2023-07-11_nrt.stac-item
2023-07-11 12:15:26	ga_s2am_ard_3-2-1_49JFK_2023-07-11_nrt.stac-item
2023-07-12 11:41:55	ga_s2am_ard_3-2-1_51LTD_2023-07-12_nrt.stac-item
2023-07-12 11:42:25	ga_s2am_ard_3-2-1_51KTB_2023-07-12_nrt.stac-item
2023-07-12 11:42:26	ga_s2am_ard_3-2-1_50KRG_2023-07-12_nrt.stac-item
2023-07-12 11:42:40	ga_s2am_ard_3-2-1_50KRF_2023-07-12_nrt.stac-item
2023-07-12 11:42:54	ga_s2am_ard_3-2-1_51KTV_2023-07-12_nrt.stac-item
2023-07-12 11:47:33	ga_s2am_ard_3-2-1_50HPF_2023-07-12_nrt.stac-item
2023-07-12 11:47:35	ga_s2am_ard_3-2-1_50HNF_2023-07-12_nrt.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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