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:

Add field

First 100 results (query limit)

Time (local)	Label
2023-02-11 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2023-02-11_final.stac-item
2023-02-11 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2023-02-11_final.stac-item
2023-02-11 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-02-11_final.stac-item
2023-02-11 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-02-11_final.stac-item
2023-02-11 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2023-02-11_final.stac-item
2023-02-11 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2023-02-11_final.stac-item
2023-02-11 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2023-02-11_final.stac-item
2023-02-11 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2023-02-11_final.stac-item
2023-02-11 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2023-02-11_final.stac-item
2023-02-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-02-11_final.stac-item
2023-02-11 11:27:06	ga_s2bm_ard_3-2-1_51HTC_2023-02-11_final.stac-item
2023-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KNA_2023-02-13_final.stac-item
2023-02-13 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2023-02-13_final.stac-item
2023-02-13 12:04:05	ga_s2bm_ard_3-2-1_50KMV_2023-02-13_final.stac-item
2023-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2023-02-13_final.stac-item
2023-02-13 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2023-02-13_final.stac-item
2023-02-13 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2023-02-13_final.stac-item
2023-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-02-13_final.stac-item
2023-02-13 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-02-13_final.stac-item
2023-02-14 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2023-02-14_final.stac-item
2023-02-14 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2023-02-14_final.stac-item
2023-02-14 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2023-02-14_final.stac-item
2023-02-14 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2023-02-14_final.stac-item
2023-02-14 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2023-02-14_final.stac-item
2023-02-14 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2023-02-14_final.stac-item
2023-02-14 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-02-14_final.stac-item
2023-02-14 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2023-02-14_final.stac-item
2023-02-14 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2023-02-14_final.stac-item
2023-02-14 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2023-02-14_final.stac-item
2023-02-14 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2023-02-14_final.stac-item
2023-02-14 11:35:29	ga_s2bm_ard_3-2-1_51JUJ_2023-02-14_final.stac-item
2023-02-14 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2023-02-14_final.stac-item
2023-02-14 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-02-14_final.stac-item
2023-02-14 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2023-02-14_final.stac-item
2023-02-14 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2023-02-14_final.stac-item
2023-02-14 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2023-02-14_final.stac-item
2023-02-14 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2023-02-14_final.stac-item
2023-02-14 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2023-02-14_final.stac-item
2023-02-14 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2023-02-14_final.stac-item
2023-02-16 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-02-16_final.stac-item
2023-02-16 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-02-16_final.stac-item
2023-02-16 12:14:02	ga_s2bm_ard_3-2-1_50KKV_2023-02-16_final.stac-item
2023-02-16 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2023-02-16_final.stac-item
2023-02-16 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2023-02-16_final.stac-item
2023-02-17 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-02-17_final.stac-item
2023-02-17 11:43:34	ga_s2bm_ard_3-2-1_50KQB_2023-02-17_final.stac-item
2023-02-17 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2023-02-17_final.stac-item
2023-02-17 11:44:00	ga_s2bm_ard_3-2-1_50KRV_2023-02-17_final.stac-item
2023-02-17 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2023-02-17_final.stac-item
2023-02-17 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2023-02-17_final.stac-item
2023-02-17 11:44:52	ga_s2bm_ard_3-2-1_50JQR_2023-02-17_final.stac-item
2023-02-17 11:45:01	ga_s2bm_ard_3-2-1_50JQR_2023-02-17_final.stac-item
2023-02-17 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2023-02-17_final.stac-item
2023-02-17 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2023-02-17_final.stac-item
2023-02-17 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2023-02-17_final.stac-item
2023-02-17 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2023-02-17_final.stac-item
2023-02-17 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-02-17_final.stac-item
2023-02-17 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-02-17_final.stac-item
2023-02-17 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2023-02-17_final.stac-item
2023-02-17 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2023-02-17_final.stac-item
2023-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-17_final.stac-item
2023-02-17 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-02-17_final.stac-item
2023-02-18 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2023-02-18_final.stac-item
2023-02-18 11:14:40	ga_s2bm_ard_3-2-1_51JYM_2023-02-18_final.stac-item
2023-02-18 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2023-02-18_final.stac-item
2023-02-18 11:15:37	ga_s2bm_ard_3-2-1_51JYH_2023-02-18_final.stac-item
2023-02-18 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2023-02-18_final.stac-item
2023-02-20 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-02-20_final.stac-item
2023-02-20 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-02-20_final.stac-item
2023-02-20 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2023-02-20_final.stac-item
2023-02-20 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2023-02-20_final.stac-item
2023-02-20 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2023-02-20_final.stac-item
2023-02-20 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2023-02-20_final.stac-item
2023-02-20 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2023-02-20_final.stac-item
2023-02-20 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2023-02-20_final.stac-item
2023-02-20 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-02-20_final.stac-item
2023-02-20 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-02-20_final.stac-item
2023-02-20 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-02-20_final.stac-item
2023-02-20 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2023-02-20_final.stac-item
2023-02-21 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2023-02-21_final.stac-item
2023-02-21 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2023-02-21_final.stac-item
2023-02-21 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2023-02-21_final.stac-item
2023-02-21 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2023-02-21_final.stac-item
2023-02-21 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2023-02-21_final.stac-item
2023-02-21 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2023-02-21_final.stac-item
2023-02-21 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2023-02-21_final.stac-item
2023-02-21 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2023-02-21_final.stac-item
2023-02-21 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2023-02-21_final.stac-item
2023-02-21 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2023-02-21_final.stac-item
2023-02-21 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2023-02-21_final.stac-item
2023-03-08 12:10:33	ga_s2bm_ard_3-2-1_50LNP_2023-03-08_nrt.stac-item
2023-03-08 12:10:34	ga_s2bm_ard_3-2-1_50LMP_2023-03-08_nrt.stac-item
2023-03-08 12:13:30	ga_s2bm_ard_3-2-1_49KFU_2023-03-08_nrt.stac-item
2023-03-08 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-03-08_nrt.stac-item
2023-03-08 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-03-08_nrt.stac-item
2023-03-08 12:13:37	ga_s2bm_ard_3-2-1_49KFT_2023-03-08_nrt.stac-item
2023-03-08 12:13:47	ga_s2bm_ard_3-2-1_49KGS_2023-03-08_nrt.stac-item
2023-03-08 12:13:51	ga_s2bm_ard_3-2-1_49KFS_2023-03-08_nrt.stac-item
2023-03-08 12:14:05	ga_s2bm_ard_3-2-1_49KFR_2023-03-08_nrt.stac-item
2023-03-08 12:14:20	ga_s2bm_ard_3-2-1_49KFQ_2023-03-08_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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