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
2023-01-18 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2023-01-18_final.stac-item
2023-01-18 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2023-01-18_final.stac-item
2023-01-18 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2023-01-18_final.stac-item
2023-01-18 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2023-01-18_final.stac-item
2023-01-18 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2023-01-18_final.stac-item
2023-01-18 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2023-01-18_final.stac-item
2023-01-18 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2023-01-18_final.stac-item
2023-01-18 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-18_final.stac-item
2023-01-18 11:46:23	ga_s2bm_ard_3-2-1_50JML_2023-01-18_final.stac-item
2023-01-18 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-18_final.stac-item
2023-01-18 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-01-18_final.stac-item
2023-01-18 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-01-18_final.stac-item
2023-01-18 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-18_final.stac-item
2023-01-18 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-01-18_final.stac-item
2023-01-18 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2023-01-18_final.stac-item
2023-01-18 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2023-01-18_final.stac-item
2023-01-19 09:29:38	ga_s2bm_ard_3-2-1_56LPP_2023-01-18_nrt.stac-item
2023-01-19 09:32:24	ga_s2bm_ard_3-2-1_56KPC_2023-01-19_final.stac-item
2023-01-19 09:32:26	ga_s2bm_ard_3-2-1_56KNC_2023-01-19_nrt.stac-item
2023-01-19 09:32:27	ga_s2bm_ard_3-2-1_56KMC_2023-01-19_nrt.stac-item
2023-01-19 09:32:38	ga_s2bm_ard_3-2-1_56KMB_2023-01-19_final.stac-item
2023-01-19 09:32:46	ga_s2bm_ard_3-2-1_56KPA_2023-01-19_nrt.stac-item
2023-01-19 09:32:56	ga_s2bm_ard_3-2-1_56KLA_2023-01-19_final.stac-item
2023-01-19 09:33:01	ga_s2bm_ard_3-2-1_56KPV_2023-01-19_nrt.stac-item
2023-01-19 09:33:10	ga_s2bm_ard_3-2-1_56KLV_2023-01-19_final.stac-item
2023-01-19 09:33:15	ga_s2bm_ard_3-2-1_56KPU_2023-01-19_nrt.stac-item
2023-01-19 09:33:47	ga_s2bm_ard_3-2-1_56JNS_2023-01-19_final.stac-item
2023-01-19 09:33:51	ga_s2bm_ard_3-2-1_56JMS_2023-01-19_final.stac-item
2023-01-19 09:34:12	ga_s2bm_ard_3-2-1_56JKR_2023-01-19_final.stac-item
2023-01-19 09:34:23	ga_s2bm_ard_3-2-1_56JLQ_2023-01-19_final.stac-item
2023-01-19 09:34:38	ga_s2bm_ard_3-2-1_56JLP_2023-01-19_final.stac-item
2023-01-19 09:34:41	ga_s2bm_ard_3-2-1_56JNN_2023-01-19_final.stac-item
2023-01-19 09:34:49	ga_s2bm_ard_3-2-1_56JMN_2023-01-19_final.stac-item
2023-01-19 09:35:03	ga_s2bm_ard_3-2-1_56JMM_2023-01-19_final.stac-item
2023-01-19 09:35:07	ga_s2bm_ard_3-2-1_56JLM_2023-01-19_final.stac-item
2023-01-19 09:35:10	ga_s2bm_ard_3-2-1_56JKM_2023-01-19_final.stac-item
2023-01-19 09:35:18	ga_s2bm_ard_3-2-1_56JML_2023-01-19_final.stac-item
2023-01-19 09:35:33	ga_s2bm_ard_3-2-1_56HMK_2023-01-19_final.stac-item
2023-01-19 09:35:36	ga_s2bm_ard_3-2-1_56HLK_2023-01-19_final.stac-item
2023-01-19 09:35:48	ga_s2bm_ard_3-2-1_55HFE_2023-01-19_final.stac-item
2023-01-19 09:35:54	ga_s2bm_ard_3-2-1_56HKJ_2023-01-19_final.stac-item
2023-01-19 09:35:56	ga_s2bm_ard_3-2-1_56HMH_2023-01-19_nrt.stac-item
2023-01-19 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2023-01-19_final.stac-item
2023-01-19 09:36:05	ga_s2bm_ard_3-2-1_56HLH_2023-01-19_final.stac-item
2023-01-19 09:36:20	ga_s2bm_ard_3-2-1_56HLG_2023-01-19_final.stac-item
2023-01-19 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2023-01-19_final.stac-item
2023-01-19 09:36:25	ga_s2bm_ard_3-2-1_55HGB_2023-01-19_final.stac-item
2023-01-19 09:36:52	ga_s2bm_ard_3-2-1_56HKE_2023-01-19_nrt.stac-item
2023-01-19 09:36:54	ga_s2bm_ard_3-2-1_55HGV_2023-01-19_final.stac-item
2023-01-19 09:36:58	ga_s2bm_ard_3-2-1_55HFV_2023-01-19_final.stac-item
2023-01-19 09:37:01	ga_s2bm_ard_3-2-1_55HEV_2023-01-19_final.stac-item
2023-01-19 09:37:01	ga_s2bm_ard_3-2-1_56HLD_2023-01-19_nrt.stac-item
2023-01-19 09:37:07	ga_s2bm_ard_3-2-1_56HKD_2023-01-19_nrt.stac-item
2023-01-19 09:37:08	ga_s2bm_ard_3-2-1_55HGU_2023-01-19_final.stac-item
2023-01-19 09:37:11	ga_s2bm_ard_3-2-1_56HLC_2023-01-19_nrt.stac-item
2023-01-19 09:37:12	ga_s2bm_ard_3-2-1_55HFU_2023-01-19_final.stac-item
2023-01-19 09:37:36	ga_s2bm_ard_3-2-1_56HKB_2023-01-19_nrt.stac-item
2023-01-19 09:37:37	ga_s2bm_ard_3-2-1_55HGS_2023-01-19_nrt.stac-item
2023-01-19 09:37:41	ga_s2bm_ard_3-2-1_55HFS_2023-01-19_final.stac-item
2023-01-19 09:37:49	ga_s2bm_ard_3-2-1_55HDS_2023-01-19_final.stac-item
2023-01-19 11:10:02	ga_s2bm_ard_3-2-1_53LKJ_2023-01-19_final.stac-item
2023-01-19 11:10:08	ga_s2bm_ard_3-2-1_52LHP_2023-01-19_nrt.stac-item
2023-01-19 11:10:12	ga_s2bm_ard_3-2-1_52LGP_2023-01-19_nrt.stac-item
2023-01-19 11:10:15	ga_s2bm_ard_3-2-1_52LFP_2023-01-19_nrt.stac-item
2023-01-19 11:10:18	ga_s2bm_ard_3-2-1_52LEP_2023-01-19_nrt.stac-item
2023-01-19 11:10:44	ga_s2bm_ard_3-2-1_52LFM_2023-01-19_final.stac-item
2023-01-19 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2023-01-19_final.stac-item
2023-01-19 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2023-01-19_final.stac-item
2023-01-19 11:11:19	ga_s2bm_ard_3-2-1_52LDK_2023-01-19_nrt.stac-item
2023-01-19 11:12:51	ga_s2bm_ard_3-2-1_52KFC_2023-01-19_final.stac-item
2023-01-19 11:13:05	ga_s2bm_ard_3-2-1_52KCC_2023-01-19_final.stac-item
2023-01-19 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2023-01-19_final.stac-item
2023-01-19 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2023-01-19_final.stac-item
2023-01-19 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2023-01-19_final.stac-item
2023-01-19 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2023-01-19_final.stac-item
2023-01-19 11:13:49	ga_s2bm_ard_3-2-1_52KCV_2023-01-19_final.stac-item
2023-01-19 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2023-01-19_final.stac-item
2023-01-19 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2023-01-19_final.stac-item
2023-01-19 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2023-01-19_final.stac-item
2023-01-19 11:14:32	ga_s2bm_ard_3-2-1_51JYM_2023-01-19_final.stac-item
2023-01-19 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2023-01-19_final.stac-item
2023-01-19 11:14:36	ga_s2bm_ard_3-2-1_51JZM_2023-01-19_final.stac-item
2023-01-19 11:14:36	ga_s2bm_ard_3-2-1_52JBS_2023-01-19_final.stac-item
2023-01-19 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2023-01-19_final.stac-item
2023-01-19 11:14:50	ga_s2bm_ard_3-2-1_52JBR_2023-01-19_final.stac-item
2023-01-19 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2023-01-19_final.stac-item
2023-01-19 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2023-01-19_final.stac-item
2023-01-19 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2023-01-19_final.stac-item
2023-01-19 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2023-01-19_final.stac-item
2023-01-19 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2023-01-19_final.stac-item
2023-01-19 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2023-01-19_final.stac-item
2023-01-19 11:15:51	ga_s2bm_ard_3-2-1_51JYG_2023-01-19_final.stac-item
2023-01-19 11:16:13	ga_s2bm_ard_3-2-1_52HCK_2023-01-19_final.stac-item
2023-01-19 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2023-01-19_final.stac-item
2023-01-19 11:16:32	ga_s2bm_ard_3-2-1_52HBJ_2023-01-19_nrt.stac-item
2023-01-19 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-19_final.stac-item
2023-01-19 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2023-01-19_final.stac-item
2023-01-19 11:17:00	ga_s2bm_ard_3-2-1_52HBG_2023-01-19_nrt.stac-item
2023-01-19 11:17:01	ga_s2bm_ard_3-2-1_51HYB_2023-01-19_nrt.stac-item
2023-01-19 11:17:03	ga_s2bm_ard_3-2-1_51HXB_2023-01-19_final.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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