Search ga_s2bm_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:

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First 100 results (query limit)

Time (local)	Label
2023-05-08 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2023-05-08_final.stac-item
2023-05-08 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2023-05-08_final.stac-item
2023-05-11 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2023-05-11_final.stac-item
2023-05-11 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-05-11_final.stac-item
2023-05-11 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2023-05-11_final.stac-item
2023-05-11 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2023-05-11_final.stac-item
2023-05-11 11:53:55	ga_s2bm_ard_3-2-1_50KQV_2023-05-11_final.stac-item
2023-05-11 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2023-05-11_final.stac-item
2023-05-11 11:54:03	ga_s2bm_ard_3-2-1_50KQV_2023-05-11_final.stac-item
2023-05-11 11:54:07	ga_s2bm_ard_3-2-1_50KPV_2023-05-11_final.stac-item
2023-05-11 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-05-11_final.stac-item
2023-05-11 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-05-11_final.stac-item
2023-05-11 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2023-05-11_final.stac-item
2023-05-11 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-05-11_final.stac-item
2023-05-11 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2023-05-11_final.stac-item
2023-05-11 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-05-11_final.stac-item
2023-05-11 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-05-11_final.stac-item
2023-05-11 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-05-11_final.stac-item
2023-05-11 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-11_final.stac-item
2023-05-12 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2023-05-12_final.stac-item
2023-05-12 11:25:23	ga_s2bm_ard_3-2-1_51JYJ_2023-05-12_final.stac-item
2023-05-12 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2023-05-12_final.stac-item
2023-05-12 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-05-12_final.stac-item
2023-05-12 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2023-05-12_final.stac-item
2023-05-12 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2023-05-12_final.stac-item
2023-05-12 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2023-05-12_final.stac-item
2023-05-12 11:27:14	ga_s2bm_ard_3-2-1_51HUB_2023-05-12_final.stac-item
2023-05-14 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-05-14_final.stac-item
2023-05-14 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-05-14_final.stac-item
2023-05-14 12:04:14	ga_s2bm_ard_3-2-1_50KLV_2023-05-14_final.stac-item
2023-05-14 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final.stac-item
2023-05-14 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final.stac-item
2023-05-14 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2023-05-14_final.stac-item
2023-05-14 12:05:12	ga_s2bm_ard_3-2-1_49JFM_2023-05-14_final.stac-item
2023-05-14 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-05-14_final.stac-item
2023-05-15 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-05-15_final.stac-item
2023-05-15 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2023-05-15_final.stac-item
2023-05-15 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-05-15_final.stac-item
2023-05-15 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2023-05-15_final.stac-item
2023-05-15 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2023-05-15_final.stac-item
2023-05-15 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2023-05-15_final.stac-item
2023-05-15 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-05-15_final.stac-item
2023-05-15 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-05-15_final.stac-item
2023-05-15 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-05-15_final.stac-item
2023-05-15 11:34:19	ga_s2bm_ard_3-2-1_51JXN_2023-05-15_final.stac-item
2023-05-15 11:34:21	ga_s2bm_ard_3-2-1_51KUP_2023-05-15_final.stac-item
2023-05-15 11:34:36	ga_s2bm_ard_3-2-1_51JUN_2023-05-15_final.stac-item
2023-05-15 11:34:40	ga_s2bm_ard_3-2-1_51JTN_2023-05-15_final.stac-item
2023-05-15 11:34:43	ga_s2bm_ard_3-2-1_51JWM_2023-05-15_final.stac-item
2023-05-15 11:34:53	ga_s2bm_ard_3-2-1_50JRS_2023-05-15_final.stac-item
2023-05-15 11:34:53	ga_s2bm_ard_3-2-1_51JTM_2023-05-15_final.stac-item
2023-05-15 11:34:58	ga_s2bm_ard_3-2-1_51JWL_2023-05-15_final.stac-item
2023-05-15 11:35:16	ga_s2bm_ard_3-2-1_51JVK_2023-05-15_final.stac-item
2023-05-15 11:35:19	ga_s2bm_ard_3-2-1_51JUK_2023-05-15_final.stac-item
2023-05-15 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2023-05-15_final.stac-item
2023-05-15 11:35:34	ga_s2bm_ard_3-2-1_51JUJ_2023-05-15_final.stac-item
2023-05-15 11:35:37	ga_s2bm_ard_3-2-1_51JTJ_2023-05-15_final.stac-item
2023-05-15 11:35:49	ga_s2bm_ard_3-2-1_51JUH_2023-05-15_final.stac-item
2023-05-15 11:35:52	ga_s2bm_ard_3-2-1_51JTH_2023-05-15_final.stac-item
2023-05-15 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-05-15_final.stac-item
2023-05-15 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2023-05-15_final.stac-item
2023-05-15 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-05-15_final.stac-item
2023-05-15 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2023-05-15_final.stac-item
2023-05-15 11:36:35	ga_s2bm_ard_3-2-1_51HTE_2023-05-15_final.stac-item
2023-05-15 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-05-15_final.stac-item
2023-05-15 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-05-15_final.stac-item
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final.stac-item
2023-05-15 11:37:16	ga_s2bm_ard_3-2-1_51HUB_2023-05-15_final.stac-item
2023-05-15 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-05-15_final.stac-item
2023-05-15 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-05-15_final.stac-item
2023-05-24 12:00:28	ga_s2bm_ard_3-2-1_50LRP_2023-05-24_nrt.stac-item
2023-05-24 12:00:38	ga_s2bm_ard_3-2-1_50LQP_2023-05-24_nrt.stac-item
2023-05-24 12:00:49	ga_s2bm_ard_3-2-1_50LMP_2023-05-24_nrt.stac-item
2023-05-24 12:00:53	ga_s2bm_ard_3-2-1_50LQN_2023-05-24_nrt.stac-item
2023-05-24 12:00:59	ga_s2bm_ard_3-2-1_50LNN_2023-05-24_nrt.stac-item
2023-05-24 12:01:02	ga_s2bm_ard_3-2-1_50LMN_2023-05-24_nrt.stac-item
2023-05-24 12:01:14	ga_s2bm_ard_3-2-1_50LNM_2023-05-24_nrt.stac-item
2023-05-24 12:01:28	ga_s2bm_ard_3-2-1_50LNL_2023-05-24_nrt.stac-item
2023-05-24 12:01:32	ga_s2bm_ard_3-2-1_50LML_2023-05-24_nrt.stac-item
2023-05-24 12:01:37	ga_s2bm_ard_3-2-1_50LPK_2023-05-24_nrt.stac-item
2023-05-24 12:01:39	ga_s2bm_ard_3-2-1_50LNK_2023-05-24_nrt.stac-item
2023-05-24 12:01:41	ga_s2bm_ard_3-2-1_50LMK_2023-05-24_nrt.stac-item
2023-05-24 12:03:02	ga_s2bm_ard_3-2-1_50KME_2023-05-24_nrt.stac-item
2023-05-24 12:03:03	ga_s2bm_ard_3-2-1_50KLE_2023-05-24_nrt.stac-item
2023-05-24 12:03:13	ga_s2bm_ard_3-2-1_50KMD_2023-05-24_nrt.stac-item
2023-05-24 12:03:17	ga_s2bm_ard_3-2-1_50KLD_2023-05-24_nrt.stac-item
2023-05-24 12:03:22	ga_s2bm_ard_3-2-1_49KHU_2023-05-24_nrt.stac-item
2023-05-24 12:03:34	ga_s2bm_ard_3-2-1_50KKC_2023-05-24_nrt.stac-item
2023-05-24 12:03:35	ga_s2bm_ard_3-2-1_49KHT_2023-05-24_nrt.stac-item
2023-05-24 12:05:24	ga_s2bm_ard_3-2-1_49JFL_2023-05-24_nrt.stac-item
2023-05-24 12:05:37	ga_s2bm_ard_3-2-1_49JFK_2023-05-24_nrt.stac-item
2023-05-24 12:05:52	ga_s2bm_ard_3-2-1_49JFJ_2023-05-24_nrt.stac-item
2023-05-24 12:06:07	ga_s2bm_ard_3-2-1_49JFH_2023-05-24_nrt.stac-item
2023-05-24 12:06:18	ga_s2bm_ard_3-2-1_49JGG_2023-05-24_nrt.stac-item
2023-05-24 12:06:21	ga_s2bm_ard_3-2-1_49JFG_2023-05-24_nrt.stac-item
2023-05-24 12:06:28	ga_s2bm_ard_3-2-1_49JGF_2023-05-24_nrt.stac-item
2023-05-24 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-05-24_nrt.stac-item
2023-05-25 11:37:30	ga_s2bm_ard_3-2-1_51HUA_2023-05-25_nrt.stac-item
2023-05-25 11:37:33	ga_s2bm_ard_3-2-1_51HTA_2023-05-25_nrt.stac-item
2023-05-25 11:37:35	ga_s2bm_ard_3-2-1_50HPF_2023-05-25_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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