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
2023-07-03 10:25:05	ga_s2bm_ard_3-2-1_54JUP_2023-07-03_final.stac-item
2023-07-03 10:25:29	ga_s2bm_ard_3-2-1_54JVM_2023-07-03_final.stac-item
2023-07-03 10:25:52	ga_s2bm_ard_3-2-1_54JTL_2023-07-03_final.stac-item
2023-07-03 10:25:54	ga_s2bm_ard_3-2-1_53JQF_2023-07-03_final.stac-item
2023-07-03 10:26:18	ga_s2bm_ard_3-2-1_54HUJ_2023-07-03_final.stac-item
2023-07-03 10:26:21	ga_s2bm_ard_3-2-1_54HTJ_2023-07-03_final.stac-item
2023-07-03 10:26:23	ga_s2bm_ard_3-2-1_53HQD_2023-07-03_final.stac-item
2023-07-03 10:26:27	ga_s2bm_ard_3-2-1_53HPD_2023-07-03_final.stac-item
2023-07-03 10:26:59	ga_s2bm_ard_3-2-1_53HNB_2023-07-03_final.stac-item
2023-07-03 12:00:42	ga_s2bm_ard_3-2-1_50LPP_2023-07-03_nrt.stac-item
2023-07-03 12:00:49	ga_s2bm_ard_3-2-1_50LMP_2023-07-03_nrt.stac-item
2023-07-03 12:00:57	ga_s2bm_ard_3-2-1_50LPN_2023-07-03_nrt.stac-item
2023-07-03 12:01:00	ga_s2bm_ard_3-2-1_50LNN_2023-07-03_nrt.stac-item
2023-07-03 12:01:03	ga_s2bm_ard_3-2-1_50LMN_2023-07-03_nrt.stac-item
2023-07-03 12:01:08	ga_s2bm_ard_3-2-1_50LQM_2023-07-03_nrt.stac-item
2023-07-03 12:01:11	ga_s2bm_ard_3-2-1_50LPM_2023-07-03_nrt.stac-item
2023-07-03 12:01:32	ga_s2bm_ard_3-2-1_50LQK_2023-07-03_nrt.stac-item
2023-07-03 12:01:38	ga_s2bm_ard_3-2-1_50LPK_2023-07-03_nrt.stac-item
2023-07-03 12:01:40	ga_s2bm_ard_3-2-1_50LNK_2023-07-03_nrt.stac-item
2023-07-03 12:01:42	ga_s2bm_ard_3-2-1_50LMK_2023-07-03_nrt.stac-item
2023-07-03 12:03:00	ga_s2bm_ard_3-2-1_50KNE_2023-07-03_nrt.stac-item
2023-07-03 12:03:14	ga_s2bm_ard_3-2-1_50KMD_2023-07-03_nrt.stac-item
2023-07-03 12:03:17	ga_s2bm_ard_3-2-1_50KLD_2023-07-03_nrt.stac-item
2023-07-03 12:03:25	ga_s2bm_ard_3-2-1_50KNC_2023-07-03_final.stac-item
2023-07-03 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-07-03_final.stac-item
2023-07-03 12:03:32	ga_s2bm_ard_3-2-1_50KLC_2023-07-03_final.stac-item
2023-07-03 12:03:38	ga_s2bm_ard_3-2-1_50KNB_2023-07-03_final.stac-item
2023-07-03 12:03:43	ga_s2bm_ard_3-2-1_50KMB_2023-07-03_final.stac-item
2023-07-03 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-07-03_final.stac-item
2023-07-03 12:03:49	ga_s2bm_ard_3-2-1_50KNA_2023-07-03_final.stac-item
2023-07-03 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-07-03_final.stac-item
2023-07-03 12:04:01	ga_s2bm_ard_3-2-1_50KLA_2023-07-03_final.stac-item
2023-07-03 12:04:12	ga_s2bm_ard_3-2-1_50KMV_2023-07-03_final.stac-item
2023-07-03 12:04:15	ga_s2bm_ard_3-2-1_50KLV_2023-07-03_final.stac-item
2023-07-03 12:04:27	ga_s2bm_ard_3-2-1_50KMU_2023-07-03_final.stac-item
2023-07-03 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2023-07-03_final.stac-item
2023-07-03 12:04:41	ga_s2bm_ard_3-2-1_50JMT_2023-07-03_final.stac-item
2023-07-03 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-07-03_final.stac-item
2023-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-07-03_final.stac-item
2023-07-03 12:04:54	ga_s2bm_ard_3-2-1_50JMS_2023-07-03_final.stac-item
2023-07-03 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2023-07-03_final.stac-item
2023-07-03 12:05:14	ga_s2bm_ard_3-2-1_49JFM_2023-07-03_final.stac-item
2023-07-03 12:06:27	ga_s2bm_ard_3-2-1_50JKL_2023-07-03_nrt.stac-item
2023-07-03 12:06:28	ga_s2bm_ard_3-2-1_49JGF_2023-07-03_nrt.stac-item
2023-07-03 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-07-03_nrt.stac-item
2023-07-04 09:49:42	ga_s2bm_ard_3-2-1_56LMP_2023-07-04_nrt.stac-item
2023-07-04 09:49:46	ga_s2bm_ard_3-2-1_56LLP_2023-07-04_nrt.stac-item
2023-07-04 09:49:49	ga_s2bm_ard_3-2-1_56LKP_2023-07-04_nrt.stac-item
2023-07-04 09:49:50	ga_s2bm_ard_3-2-1_55LHJ_2023-07-04_nrt.stac-item
2023-07-04 09:49:54	ga_s2bm_ard_3-2-1_56LMN_2023-07-04_nrt.stac-item
2023-07-04 09:49:55	ga_s2bm_ard_3-2-1_55LGJ_2023-07-04_nrt.stac-item
2023-07-04 09:50:00	ga_s2bm_ard_3-2-1_56LLN_2023-07-04_nrt.stac-item
2023-07-04 09:50:04	ga_s2bm_ard_3-2-1_56LMM_2023-07-04_nrt.stac-item
2023-07-04 09:50:08	ga_s2bm_ard_3-2-1_56LLM_2023-07-04_nrt.stac-item
2023-07-04 09:50:10	ga_s2bm_ard_3-2-1_56LKM_2023-07-04_nrt.stac-item
2023-07-04 09:50:10	ga_s2bm_ard_3-2-1_55LHG_2023-07-04_nrt.stac-item
2023-07-04 09:51:09	ga_s2bm_ard_3-2-1_56LLH_2023-07-04_nrt.stac-item
2023-07-04 09:51:16	ga_s2bm_ard_3-2-1_56LKH_2023-07-04_nrt.stac-item
2023-07-04 09:51:17	ga_s2bm_ard_3-2-1_55LHC_2023-07-04_final.stac-item
2023-07-04 09:51:21	ga_s2bm_ard_3-2-1_55LGC_2023-07-04_final.stac-item
2023-07-04 09:51:24	ga_s2bm_ard_3-2-1_55LFC_2023-07-04_final.stac-item
2023-07-04 09:52:00	ga_s2bm_ard_3-2-1_55KHV_2023-07-04_nrt.stac-item
2023-07-04 09:52:08	ga_s2bm_ard_3-2-1_55KFV_2023-07-04_nrt.stac-item
2023-07-04 09:52:11	ga_s2bm_ard_3-2-1_55KEV_2023-07-04_final.stac-item
2023-07-04 09:52:25	ga_s2bm_ard_3-2-1_55KEU_2023-07-04_final.stac-item
2023-07-04 09:52:37	ga_s2bm_ard_3-2-1_55KFT_2023-07-04_final.stac-item
2023-07-04 09:52:40	ga_s2bm_ard_3-2-1_55KET_2023-07-04_final.stac-item
2023-07-04 09:52:51	ga_s2bm_ard_3-2-1_55KFS_2023-07-04_final.stac-item
2023-07-04 09:52:55	ga_s2bm_ard_3-2-1_55KES_2023-07-04_final.stac-item
2023-07-04 09:53:01	ga_s2bm_ard_3-2-1_55KDS_2023-07-04_final.stac-item
2023-07-04 09:53:02	ga_s2bm_ard_3-2-1_55KGR_2023-07-04_final.stac-item
2023-07-04 09:53:06	ga_s2bm_ard_3-2-1_55KFR_2023-07-04_final.stac-item
2023-07-04 09:53:20	ga_s2bm_ard_3-2-1_55KFQ_2023-07-04_final.stac-item
2023-07-04 09:53:24	ga_s2bm_ard_3-2-1_55KEQ_2023-07-04_final.stac-item
2023-07-04 09:53:27	ga_s2bm_ard_3-2-1_55KDQ_2023-07-04_final.stac-item
2023-07-04 09:53:53	ga_s2bm_ard_3-2-1_55JEN_2023-07-04_final.stac-item
2023-07-04 09:53:56	ga_s2bm_ard_3-2-1_55JDN_2023-07-04_final.stac-item
2023-07-04 09:54:03	ga_s2bm_ard_3-2-1_55JCN_2023-07-04_final.stac-item
2023-07-04 09:54:03	ga_s2bm_ard_3-2-1_55JFM_2023-07-04_final.stac-item
2023-07-04 09:54:58	ga_s2bm_ard_3-2-1_55JCJ_2023-07-04_final.stac-item
2023-07-04 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2023-07-04_final.stac-item
2023-07-04 09:55:20	ga_s2bm_ard_3-2-1_55JEG_2023-07-04_final.stac-item
2023-07-04 09:55:23	ga_s2bm_ard_3-2-1_55JDG_2023-07-04_final.stac-item
2023-07-04 09:55:34	ga_s2bm_ard_3-2-1_55JEF_2023-07-04_final.stac-item
2023-07-04 09:55:38	ga_s2bm_ard_3-2-1_55JDF_2023-07-04_final.stac-item
2023-07-04 09:55:44	ga_s2bm_ard_3-2-1_55JBF_2023-07-04_final.stac-item
2023-07-04 09:55:59	ga_s2bm_ard_3-2-1_55HED_2023-07-04_final.stac-item
2023-07-04 09:56:07	ga_s2bm_ard_3-2-1_55HDD_2023-07-04_final.stac-item
2023-07-04 09:56:10	ga_s2bm_ard_3-2-1_55HCD_2023-07-04_final.stac-item
2023-07-04 09:56:15	ga_s2bm_ard_3-2-1_54HYJ_2023-07-04_final.stac-item
2023-07-04 09:56:36	ga_s2bm_ard_3-2-1_55HDB_2023-07-04_final.stac-item
2023-07-04 09:56:44	ga_s2bm_ard_3-2-1_54HYG_2023-07-04_final.stac-item
2023-07-04 09:57:13	ga_s2bm_ard_3-2-1_54HYE_2023-07-04_final.stac-item
2023-07-04 09:57:38	ga_s2bm_ard_3-2-1_55HCT_2023-07-04_final.stac-item
2023-07-04 09:57:41	ga_s2bm_ard_3-2-1_55HBT_2023-07-04_final.stac-item
2023-07-04 09:57:42	ga_s2bm_ard_3-2-1_54HYC_2023-07-04_final.stac-item
2023-07-04 09:57:46	ga_s2bm_ard_3-2-1_54HXC_2023-07-04_final.stac-item
2023-07-04 09:57:51	ga_s2bm_ard_3-2-1_54HWC_2023-07-04_final.stac-item
2023-07-04 09:58:34	ga_s2bm_ard_3-2-1_54GYU_2023-07-04_nrt.stac-item
2023-07-04 09:58:34	ga_s2bm_ard_3-2-1_55GBP_2023-07-04_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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