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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
2022-12-21 10:42:20	ga_s2bm_ard_3-2-1_53KPV_2022-12-21_final.stac-item
2022-12-22 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-12-22_final.stac-item
2022-12-22 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-12-22_final.stac-item
2022-12-23 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2022-12-23_final.stac-item
2022-12-23 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2022-12-23_final.stac-item
2022-12-25 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2022-12-25_final.stac-item
2022-12-25 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-12-25_final.stac-item
2022-12-25 12:03:32	ga_s2bm_ard_3-2-1_50KNB_2022-12-25_final.stac-item
2022-12-25 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2022-12-25_final.stac-item
2022-12-25 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2022-12-25_final.stac-item
2022-12-25 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-12-25_final.stac-item
2022-12-25 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2022-12-25_final.stac-item
2022-12-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-12-25_final.stac-item
2022-12-25 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2022-12-25_final.stac-item
2022-12-25 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2022-12-25_final.stac-item
2022-12-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-12-25_final.stac-item
2022-12-25 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2022-12-25_final.stac-item
2022-12-25 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2022-12-25_final.stac-item
2022-12-25 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-12-25_final.stac-item
2022-12-25 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-12-25_final.stac-item
2022-12-26 09:55:06	ga_s2bm_ard_3-2-1_55JCH_2022-12-26_final.stac-item
2022-12-26 09:55:23	ga_s2bm_ard_3-2-1_55JBG_2022-12-26_final.stac-item
2022-12-26 09:55:38	ga_s2bm_ard_3-2-1_55JBF_2022-12-26_final.stac-item
2022-12-26 09:56:44	ga_s2bm_ard_3-2-1_55HDA_2022-12-26_final.stac-item
2022-12-26 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2022-12-26_final.stac-item
2022-12-26 09:57:25	ga_s2bm_ard_3-2-1_54HXD_2022-12-26_final.stac-item
2022-12-26 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2022-12-26_final.stac-item
2022-12-26 11:31:30	ga_s2bm_ard_3-2-1_51LWE_2022-12-26_final.stac-item
2022-12-26 11:31:52	ga_s2bm_ard_3-2-1_51LYC_2022-12-26_final.stac-item
2022-12-26 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2022-12-26_final.stac-item
2022-12-26 11:32:36	ga_s2bm_ard_3-2-1_51KYV_2022-12-26_final.stac-item
2022-12-26 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2022-12-26_final.stac-item
2022-12-26 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2022-12-26_final.stac-item
2022-12-26 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2022-12-26_final.stac-item
2022-12-26 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2022-12-26_final.stac-item
2022-12-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-12-26_final.stac-item
2022-12-26 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-12-26_final.stac-item
2022-12-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-12-26_final.stac-item
2022-12-26 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2022-12-26_final.stac-item
2022-12-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-12-26_final.stac-item
2022-12-26 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2022-12-26_final.stac-item
2022-12-26 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2022-12-26_final.stac-item
2022-12-26 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2022-12-26_final.stac-item
2022-12-26 11:34:49	ga_s2bm_ard_3-2-1_51JTM_2022-12-26_final.stac-item
2022-12-26 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2022-12-26_final.stac-item
2022-12-26 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2022-12-26_final.stac-item
2022-12-26 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2022-12-26_final.stac-item
2022-12-26 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2022-12-26_final.stac-item
2022-12-26 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2022-12-26_final.stac-item
2022-12-26 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2022-12-26_final.stac-item
2022-12-26 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2022-12-26_final.stac-item
2022-12-26 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2022-12-26_final.stac-item
2022-12-26 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2022-12-26_final.stac-item
2022-12-26 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2022-12-26_final.stac-item
2022-12-26 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2022-12-26_final.stac-item
2022-12-26 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2022-12-26_final.stac-item
2022-12-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-12-26_final.stac-item
2022-12-26 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-12-26_final.stac-item
2022-12-26 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2022-12-26_final.stac-item
2022-12-27 09:28:15	ga_s2bm_ard_3-2-1_55GFQ_2022-12-26_final.stac-item
2022-12-27 09:28:30	ga_s2bm_ard_3-2-1_55GFP_2022-12-26_final.stac-item
2022-12-27 11:00:28	ga_s2bm_ard_3-2-1_53LKH_2022-12-27_final.stac-item
2022-12-27 11:00:35	ga_s2bm_ard_3-2-1_53LMG_2022-12-27_final.stac-item
2022-12-27 11:00:58	ga_s2bm_ard_3-2-1_52LHL_2022-12-27_final.stac-item
2022-12-27 11:01:08	ga_s2bm_ard_3-2-1_53LLE_2022-12-27_final.stac-item
2022-12-27 11:01:13	ga_s2bm_ard_3-2-1_52LHK_2022-12-27_final.stac-item
2022-12-27 11:01:16	ga_s2bm_ard_3-2-1_52LGK_2022-12-27_final.stac-item
2022-12-27 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2022-12-27_final.stac-item
2022-12-27 11:01:38	ga_s2bm_ard_3-2-1_52LFJ_2022-12-27_final.stac-item
2022-12-27 11:01:56	ga_s2bm_ard_3-2-1_52KHG_2022-12-27_final.stac-item
2022-12-27 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2022-12-27_final.stac-item
2022-12-27 11:02:47	ga_s2bm_ard_3-2-1_52KFD_2022-12-27_final.stac-item
2022-12-27 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2022-12-27_final.stac-item
2022-12-27 11:03:21	ga_s2bm_ard_3-2-1_52KHA_2022-12-27_final.stac-item
2022-12-27 11:04:35	ga_s2bm_ard_3-2-1_52JDS_2022-12-27_final.stac-item
2022-12-27 11:05:30	ga_s2bm_ard_3-2-1_52JEN_2022-12-27_final.stac-item
2022-12-27 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2022-12-27_final.stac-item
2022-12-27 11:05:48	ga_s2bm_ard_3-2-1_52JDM_2022-12-27_final.stac-item
2022-12-27 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-12-27_final.stac-item
2022-12-27 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2022-12-27_final.stac-item
2022-12-27 11:06:36	ga_s2bm_ard_3-2-1_51HYD_2022-12-27_final.stac-item
2023-01-07 10:36:55	ga_s2bm_ard_3-2-1_53HLB_2023-01-07_nrt.stac-item
2023-01-07 10:37:04	ga_s2bm_ard_3-2-1_53HLA_2023-01-07_nrt.stac-item
2023-01-07 12:10:26	ga_s2bm_ard_3-2-1_50LNP_2023-01-07_nrt.stac-item
2023-01-07 12:10:27	ga_s2bm_ard_3-2-1_50LMP_2023-01-07_nrt.stac-item
2023-01-07 12:13:27	ga_s2bm_ard_3-2-1_50KKC_2023-01-07_nrt.stac-item
2023-01-07 12:13:27	ga_s2bm_ard_3-2-1_49KHT_2023-01-07_nrt.stac-item
2023-01-07 12:13:29	ga_s2bm_ard_3-2-1_49KGT_2023-01-07_nrt.stac-item
2023-01-07 12:13:31	ga_s2bm_ard_3-2-1_49KFT_2023-01-07_nrt.stac-item
2023-01-07 12:13:41	ga_s2bm_ard_3-2-1_49KGS_2023-01-07_nrt.stac-item
2023-01-07 12:13:45	ga_s2bm_ard_3-2-1_49KFS_2023-01-07_nrt.stac-item
2023-01-07 12:13:59	ga_s2bm_ard_3-2-1_49KFR_2023-01-07_nrt.stac-item
2023-01-07 12:14:28	ga_s2bm_ard_3-2-1_49KFP_2023-01-07_nrt.stac-item
2023-01-07 12:15:12	ga_s2bm_ard_3-2-1_49JFL_2023-01-07_nrt.stac-item
2023-01-07 12:15:19	ga_s2bm_ard_3-2-1_49JFK_2023-01-07_nrt.stac-item
2023-01-08 10:07:48	ga_s2bm_ard_3-2-1_54HVB_2023-01-08_nrt.stac-item
2023-01-08 11:40:25	ga_s2bm_ard_3-2-1_51LWJ_2023-01-08_nrt.stac-item
2023-01-08 11:40:32	ga_s2bm_ard_3-2-1_51LUJ_2023-01-08_nrt.stac-item
2023-01-08 11:41:35	ga_s2bm_ard_3-2-1_51LTE_2023-01-08_nrt.stac-item
2023-01-08 11:42:32	ga_s2bm_ard_3-2-1_50KRF_2023-01-08_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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