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
2023-05-17 10:29:47	ga_s2bm_ard_3-2-1_54LWQ_2023-05-17_final.stac-item
2023-05-17 10:30:34	ga_s2bm_ard_3-2-1_54LVM_2023-05-17_final.stac-item
2023-05-17 10:30:49	ga_s2bm_ard_3-2-1_54LVL_2023-05-17_final.stac-item
2023-05-17 10:31:03	ga_s2bm_ard_3-2-1_54LVK_2023-05-17_final.stac-item
2023-05-17 10:31:36	ga_s2bm_ard_3-2-1_54LUH_2023-05-17_final.stac-item
2023-05-17 10:32:08	ga_s2bm_ard_3-2-1_54KTF_2023-05-17_final.stac-item
2023-05-17 10:32:19	ga_s2bm_ard_3-2-1_54KUE_2023-05-17_final.stac-item
2023-05-17 10:32:46	ga_s2bm_ard_3-2-1_53KQU_2023-05-17_final.stac-item
2023-05-17 10:33:39	ga_s2bm_ard_3-2-1_53KQQ_2023-05-17_final.stac-item
2023-05-17 10:34:12	ga_s2bm_ard_3-2-1_53JPN_2023-05-17_final.stac-item
2023-05-17 10:34:26	ga_s2bm_ard_3-2-1_53JPM_2023-05-17_final.stac-item
2023-05-17 10:34:30	ga_s2bm_ard_3-2-1_53JNM_2023-05-17_final.stac-item
2023-05-17 10:35:19	ga_s2bm_ard_3-2-1_53JMJ_2023-05-17_final.stac-item
2023-05-17 10:35:24	ga_s2bm_ard_3-2-1_53JPH_2023-05-17_final.stac-item
2023-05-17 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-05-17_final.stac-item
2023-05-17 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-05-17_final.stac-item
2023-05-17 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-05-17_final.stac-item
2023-05-17 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-05-17_final.stac-item
2023-05-17 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-05-17_final.stac-item
2023-05-18 10:01:43	ga_s2bm_ard_3-2-1_55KCB_2023-05-18_final.stac-item
2023-05-18 10:01:58	ga_s2bm_ard_3-2-1_55KCA_2023-05-18_final.stac-item
2023-05-18 10:02:27	ga_s2bm_ard_3-2-1_55KCU_2023-05-18_final.stac-item
2023-05-18 10:02:38	ga_s2bm_ard_3-2-1_55KDT_2023-05-18_final.stac-item
2023-05-18 10:02:41	ga_s2bm_ard_3-2-1_55KCT_2023-05-18_final.stac-item
2023-05-18 10:02:59	ga_s2bm_ard_3-2-1_54KZB_2023-05-18_final.stac-item
2023-05-18 10:03:14	ga_s2bm_ard_3-2-1_55KBR_2023-05-18_final.stac-item
2023-05-18 10:03:14	ga_s2bm_ard_3-2-1_54KZA_2023-05-18_final.stac-item
2023-05-18 10:03:21	ga_s2bm_ard_3-2-1_55KDQ_2023-05-18_final.stac-item
2023-05-18 10:03:28	ga_s2bm_ard_3-2-1_55KBQ_2023-05-18_final.stac-item
2023-05-18 10:03:43	ga_s2bm_ard_3-2-1_55KBP_2023-05-18_final.stac-item
2023-05-18 10:04:01	ga_s2bm_ard_3-2-1_54JYT_2023-05-18_final.stac-item
2023-05-18 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2023-05-18_final.stac-item
2023-05-18 10:04:12	ga_s2bm_ard_3-2-1_55JBM_2023-05-18_final.stac-item
2023-05-18 10:04:18	ga_s2bm_ard_3-2-1_55JDL_2023-05-18_final.stac-item
2023-05-18 10:04:23	ga_s2bm_ard_3-2-1_55JCL_2023-05-18_final.stac-item
2023-05-18 10:04:41	ga_s2bm_ard_3-2-1_55JBK_2023-05-18_final.stac-item
2023-05-18 10:04:48	ga_s2bm_ard_3-2-1_54JXQ_2023-05-18_final.stac-item
2023-05-18 10:05:02	ga_s2bm_ard_3-2-1_54JXP_2023-05-18_final.stac-item
2023-05-18 10:05:13	ga_s2bm_ard_3-2-1_54JYN_2023-05-18_final.stac-item
2023-05-18 10:05:21	ga_s2bm_ard_3-2-1_55JCG_2023-05-18_final.stac-item
2023-05-18 10:05:27	ga_s2bm_ard_3-2-1_54JYM_2023-05-18_final.stac-item
2023-05-18 10:05:34	ga_s2bm_ard_3-2-1_54JYM_2023-05-18_final.stac-item
2023-05-18 10:05:34	ga_s2bm_ard_3-2-1_54JYL_2023-05-18_final.stac-item
2023-05-18 10:05:42	ga_s2bm_ard_3-2-1_54JYL_2023-05-18_final.stac-item
2023-05-18 10:06:04	ga_s2bm_ard_3-2-1_54HWK_2023-05-18_final.stac-item
2023-05-18 10:06:29	ga_s2bm_ard_3-2-1_54HXH_2023-05-18_final.stac-item
2023-05-18 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2023-05-18_final.stac-item
2023-05-18 10:07:05	ga_s2bm_ard_3-2-1_54HVF_2023-05-18_final.stac-item
2023-05-18 10:07:39	ga_s2bm_ard_3-2-1_54HUD_2023-05-18_final.stac-item
2023-05-18 10:07:41	ga_s2bm_ard_3-2-1_54HXC_2023-05-18_final.stac-item
2023-05-18 10:07:48	ga_s2bm_ard_3-2-1_54HVC_2023-05-18_final.stac-item
2023-05-18 11:41:05	ga_s2bm_ard_3-2-1_51LVG_2023-05-18_final.stac-item
2023-05-18 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2023-05-18_final.stac-item
2023-05-18 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-05-18_final.stac-item
2023-05-18 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-18_final.stac-item
2023-05-18 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2023-05-18_final.stac-item
2023-05-18 11:43:38	ga_s2bm_ard_3-2-1_50KRB_2023-05-18_final.stac-item
2023-05-18 11:43:40	ga_s2bm_ard_3-2-1_51KVR_2023-05-18_final.stac-item
2023-05-18 11:43:41	ga_s2bm_ard_3-2-1_50KQB_2023-05-18_final.stac-item
2023-05-18 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2023-05-18_final.stac-item
2023-05-18 11:44:06	ga_s2bm_ard_3-2-1_50KRV_2023-05-18_final.stac-item
2023-05-18 11:44:21	ga_s2bm_ard_3-2-1_51KTP_2023-05-18_final.stac-item
2023-05-18 11:44:39	ga_s2bm_ard_3-2-1_50JQT_2023-05-18_final.stac-item
2023-05-18 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2023-05-18_final.stac-item
2023-05-18 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2023-05-18_final.stac-item
2023-05-18 11:45:08	ga_s2bm_ard_3-2-1_50JQR_2023-05-18_final.stac-item
2023-05-18 11:45:16	ga_s2bm_ard_3-2-1_50JNR_2023-05-18_final.stac-item
2023-05-18 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-05-18_final.stac-item
2023-05-18 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2023-05-18_final.stac-item
2023-05-18 11:45:55	ga_s2bm_ard_3-2-1_50JPN_2023-05-18_final.stac-item
2023-05-18 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2023-05-18_final.stac-item
2023-05-18 11:46:09	ga_s2bm_ard_3-2-1_50JPM_2023-05-18_final.stac-item
2023-05-18 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-05-18_final.stac-item
2023-05-18 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2023-05-18_final.stac-item
2023-05-18 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-05-18_final.stac-item
2023-05-18 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-05-18_final.stac-item
2023-05-18 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-05-18_final.stac-item
2023-05-18 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-05-18_final.stac-item
2023-05-18 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-05-18_final.stac-item
2023-05-18 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-05-18_final.stac-item
2023-05-18 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-18_final.stac-item
2023-05-18 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-05-18_final.stac-item
2023-05-18 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-05-18_final.stac-item
2023-05-18 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-05-18_final.stac-item
2023-05-18 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-05-18_final.stac-item
2023-05-27 10:30:05	ga_s2bm_ard_3-2-1_54LVP_2023-05-27_nrt.stac-item
2023-05-27 10:36:47	ga_s2bm_ard_3-2-1_53HLC_2023-05-27_nrt.stac-item
2023-05-27 12:10:32	ga_s2bm_ard_3-2-1_50LNP_2023-05-27_nrt.stac-item
2023-05-27 12:13:29	ga_s2bm_ard_3-2-1_49KFU_2023-05-27_nrt.stac-item
2023-05-27 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-05-27_nrt.stac-item
2023-05-27 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-05-27_nrt.stac-item
2023-05-27 12:13:37	ga_s2bm_ard_3-2-1_49KFT_2023-05-27_nrt.stac-item
2023-05-27 12:13:48	ga_s2bm_ard_3-2-1_49KGS_2023-05-27_nrt.stac-item
2023-05-27 12:13:52	ga_s2bm_ard_3-2-1_49KFS_2023-05-27_nrt.stac-item
2023-05-27 12:14:06	ga_s2bm_ard_3-2-1_49KFR_2023-05-27_nrt.stac-item
2023-05-27 12:14:21	ga_s2bm_ard_3-2-1_49KFQ_2023-05-27_nrt.stac-item
2023-05-27 12:14:35	ga_s2bm_ard_3-2-1_49KFP_2023-05-27_nrt.stac-item
2023-05-27 12:15:18	ga_s2bm_ard_3-2-1_49JFL_2023-05-27_nrt.stac-item
2023-05-27 12:15:25	ga_s2bm_ard_3-2-1_49JFK_2023-05-27_nrt.stac-item
2023-05-28 10:07:50	ga_s2bm_ard_3-2-1_54HUC_2023-05-28_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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