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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
2022-05-26 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2022-05-26_final.stac-item
2022-05-27 09:41:30	ga_s2bm_ard_3-2-1_56KKG_2022-05-27_final.stac-item
2022-05-27 09:41:32	ga_s2bm_ard_3-2-1_55KHB_2022-05-27_final.stac-item
2022-05-27 09:41:53	ga_s2bm_ard_3-2-1_56KME_2022-05-27_final.stac-item
2022-05-27 09:42:07	ga_s2bm_ard_3-2-1_56KMD_2022-05-27_final.stac-item
2022-05-27 09:42:11	ga_s2bm_ard_3-2-1_56KLD_2022-05-27_final
2022-05-27 09:43:35	ga_s2bm_ard_3-2-1_55KFP_2022-05-27_final
2022-05-27 09:43:41	ga_s2bm_ard_3-2-1_56JKT_2022-05-27_final
2022-05-27 09:44:03	ga_s2bm_ard_3-2-1_55JFM_2022-05-27_final
2022-05-27 09:44:25	ga_s2bm_ard_3-2-1_56JKQ_2022-05-27_final
2022-05-27 09:44:28	ga_s2bm_ard_3-2-1_55JGK_2022-05-27_final
2022-05-27 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2022-05-27_final
2022-05-27 09:44:39	ga_s2bm_ard_3-2-1_56JKP_2022-05-27_final
2022-05-27 09:44:46	ga_s2bm_ard_3-2-1_55JFJ_2022-05-27_final
2022-05-27 09:44:49	ga_s2bm_ard_3-2-1_55JEJ_2022-05-27_final
2022-05-27 09:45:01	ga_s2bm_ard_3-2-1_55JFH_2022-05-27_final
2022-05-27 09:45:15	ga_s2bm_ard_3-2-1_55JFG_2022-05-27_final
2022-05-27 09:45:22	ga_s2bm_ard_3-2-1_56JKL_2022-05-27_final
2022-05-27 09:45:26	ga_s2bm_ard_3-2-1_55JGF_2022-05-27_final
2022-05-27 09:45:30	ga_s2bm_ard_3-2-1_55JFF_2022-05-27_final
2022-05-27 09:45:33	ga_s2bm_ard_3-2-1_56HKK_2022-05-27_final
2022-05-27 09:45:40	ga_s2bm_ard_3-2-1_55HGE_2022-05-27_final
2022-05-27 09:45:48	ga_s2bm_ard_3-2-1_55HEE_2022-05-27_final
2022-05-27 09:45:51	ga_s2bm_ard_3-2-1_55HDE_2022-05-27_final
2022-05-27 09:45:55	ga_s2bm_ard_3-2-1_55HGD_2022-05-27_final
2022-05-27 09:45:59	ga_s2bm_ard_3-2-1_55HFD_2022-05-27_final
2022-05-27 09:46:13	ga_s2bm_ard_3-2-1_55HFC_2022-05-27_final
2022-05-27 09:46:27	ga_s2bm_ard_3-2-1_55HFB_2022-05-27_final
2022-05-27 09:46:28	ga_s2bm_ard_3-2-1_55HCC_2022-05-27_final
2022-05-27 09:46:39	ga_s2bm_ard_3-2-1_55HCB_2022-05-27_final
2022-05-27 09:46:42	ga_s2bm_ard_3-2-1_55HFA_2022-05-27_final
2022-05-27 09:46:52	ga_s2bm_ard_3-2-1_55HCA_2022-05-27_final
2022-05-27 09:46:56	ga_s2bm_ard_3-2-1_55HFV_2022-05-27_final
2022-05-27 09:47:00	ga_s2bm_ard_3-2-1_55HEV_2022-05-27_final
2022-05-27 09:47:04	ga_s2bm_ard_3-2-1_55HDV_2022-05-27_final
2022-05-27 09:47:07	ga_s2bm_ard_3-2-1_55HCV_2022-05-27_final
2022-05-27 09:47:09	ga_s2bm_ard_3-2-1_55HFU_2022-05-27_final.stac-item
2022-05-27 09:47:15	ga_s2bm_ard_3-2-1_55HEU_2022-05-27_final
2022-05-27 09:47:18	ga_s2bm_ard_3-2-1_55HDU_2022-05-27_final
2022-05-27 09:47:19	ga_s2bm_ard_3-2-1_55HFT_2022-05-27_final.stac-item
2022-05-27 09:47:22	ga_s2bm_ard_3-2-1_55HCU_2022-05-27_final
2022-05-27 09:47:29	ga_s2bm_ard_3-2-1_55HET_2022-05-27_final
2022-05-27 09:47:29	ga_s2bm_ard_3-2-1_55HBU_2022-05-27_final
2022-05-27 09:47:33	ga_s2bm_ard_3-2-1_55HDT_2022-05-27_final
2022-05-27 09:47:36	ga_s2bm_ard_3-2-1_55HCT_2022-05-27_final
2022-05-27 09:47:40	ga_s2bm_ard_3-2-1_55HBT_2022-05-27_final
2022-05-27 09:47:44	ga_s2bm_ard_3-2-1_55HES_2022-05-27_final
2022-05-27 09:47:44	ga_s2bm_ard_3-2-1_54HYC_2022-05-27_final
2022-05-27 09:47:47	ga_s2bm_ard_3-2-1_55HDS_2022-05-27_final
2022-05-27 09:47:51	ga_s2bm_ard_3-2-1_55HCS_2022-05-27_final
2022-05-27 09:47:58	ga_s2bm_ard_3-2-1_55GER_2022-05-27_final
2022-05-27 09:48:02	ga_s2bm_ard_3-2-1_55GDR_2022-05-27_final
2022-05-27 09:48:05	ga_s2bm_ard_3-2-1_55GCR_2022-05-27_final
2022-05-27 09:48:09	ga_s2bm_ard_3-2-1_55GBR_2022-05-27_final
2022-05-27 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2022-05-27_final
2022-05-27 09:48:11	ga_s2bm_ard_3-2-1_55GEQ_2022-05-27_final
2022-05-27 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2022-05-27_final
2022-05-27 09:48:20	ga_s2bm_ard_3-2-1_55GCQ_2022-05-27_final
2022-05-27 09:48:23	ga_s2bm_ard_3-2-1_55GBQ_2022-05-27_final.stac-item
2022-05-27 09:48:23	ga_s2bm_ard_3-2-1_54GYV_2022-05-27_final.stac-item
2022-05-27 09:48:58	ga_s2bm_ard_3-2-1_55GDM_2022-05-27_final.stac-item
2022-05-27 09:49:00	ga_s2bm_ard_3-2-1_55GCM_2022-05-27_final.stac-item
2022-05-27 11:21:08	ga_s2bm_ard_3-2-1_52LEK_2022-05-27_final.stac-item
2022-05-27 11:21:14	ga_s2bm_ard_3-2-1_52LCK_2022-05-27_final.stac-item
2022-05-27 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2022-05-27_final
2022-05-27 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2022-05-27_final
2022-05-27 11:21:32	ga_s2bm_ard_3-2-1_52LDJ_2022-05-27_final
2022-05-27 11:21:47	ga_s2bm_ard_3-2-1_52LDH_2022-05-27_final
2022-05-27 11:21:50	ga_s2bm_ard_3-2-1_52LCH_2022-05-27_final
2022-05-27 11:21:53	ga_s2bm_ard_3-2-1_52LBH_2022-05-27_final
2022-05-27 11:21:55	ga_s2bm_ard_3-2-1_51LZC_2022-05-27_final
2022-05-27 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2022-05-27_final
2022-05-27 11:22:08	ga_s2bm_ard_3-2-1_52KBG_2022-05-27_final
2022-05-27 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2022-05-27_final
2022-05-27 11:22:12	ga_s2bm_ard_3-2-1_51KYB_2022-05-27_final
2022-05-27 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2022-05-27_final
2022-05-27 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2022-05-27_final
2022-05-27 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2022-05-27_final
2022-05-27 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2022-05-27_final
2022-05-27 11:24:12	ga_s2bm_ard_3-2-1_51KXP_2022-05-27_final
2022-05-27 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2022-05-27_final
2022-05-27 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2022-05-27_final
2022-05-27 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2022-05-27_final
2022-05-27 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2022-05-27_final
2022-05-27 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2022-05-27_final
2022-05-27 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2022-05-27_final
2022-05-27 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-05-27_final
2022-05-27 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2022-05-27_final
2022-05-27 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2022-05-27_final
2022-05-27 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2022-05-27_final
2022-05-27 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2022-05-27_final
2022-05-27 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2022-05-27_final
2022-05-27 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2022-05-27_final
2022-05-27 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2022-05-27_final
2022-05-27 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2022-05-27_final
2022-05-27 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2022-05-27_final
2022-05-27 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2022-05-27_final
2022-05-27 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2022-05-27_final
2022-05-27 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2022-05-27_final
2022-05-27 11:27:08	ga_s2bm_ard_3-2-1_51HWB_2022-05-27_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

Other products

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