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
2023-04-11 11:57:24	ga_s2bm_ard_3-2-1_49HFC_2023-04-11_nrt.stac-item
2023-04-11 11:57:26	ga_s2bm_ard_3-2-1_50HKG_2023-04-11_nrt.stac-item
2023-04-11 11:57:27	ga_s2bm_ard_3-2-1_49HGB_2023-04-11_nrt.stac-item
2023-04-12 09:39:36	ga_s2bm_ard_3-2-1_56LPP_2023-04-12_nrt.stac-item
2023-04-12 09:39:40	ga_s2bm_ard_3-2-1_56LNP_2023-04-12_nrt.stac-item
2023-04-12 09:39:51	ga_s2bm_ard_3-2-1_56LPN_2023-04-12_nrt.stac-item
2023-04-12 09:39:54	ga_s2bm_ard_3-2-1_56LNN_2023-04-12_nrt.stac-item
2023-04-12 09:39:57	ga_s2bm_ard_3-2-1_56LMN_2023-04-12_nrt.stac-item
2023-04-12 09:40:01	ga_s2bm_ard_3-2-1_56LLN_2023-04-12_nrt.stac-item
2023-04-12 09:40:09	ga_s2bm_ard_3-2-1_56LMM_2023-04-12_nrt.stac-item
2023-04-12 09:40:10	ga_s2bm_ard_3-2-1_56LLM_2023-04-12_nrt.stac-item
2023-04-12 09:40:13	ga_s2bm_ard_3-2-1_56LPL_2023-04-12_nrt.stac-item
2023-04-12 09:40:14	ga_s2bm_ard_3-2-1_56LNL_2023-04-12_nrt.stac-item
2023-04-12 09:41:19	ga_s2bm_ard_3-2-1_56LKH_2023-04-12_nrt.stac-item
2023-04-12 09:41:31	ga_s2bm_ard_3-2-1_56KKG_2023-04-12_final.stac-item
2023-04-12 09:41:46	ga_s2bm_ard_3-2-1_56KKF_2023-04-12_final.stac-item
2023-04-12 09:41:46	ga_s2bm_ard_3-2-1_55KHA_2023-04-12_nrt.stac-item
2023-04-12 09:42:00	ga_s2bm_ard_3-2-1_56KKE_2023-04-12_nrt.stac-item
2023-04-12 09:42:01	ga_s2bm_ard_3-2-1_55KHV_2023-04-12_nrt.stac-item
2023-04-12 09:42:23	ga_s2bm_ard_3-2-1_56KMC_2023-04-12_nrt.stac-item
2023-04-12 09:42:26	ga_s2bm_ard_3-2-1_56KLC_2023-04-12_nrt.stac-item
2023-04-12 09:42:44	ga_s2bm_ard_3-2-1_56KKB_2023-04-12_final.stac-item
2023-04-12 09:42:48	ga_s2bm_ard_3-2-1_55KGS_2023-04-12_final.stac-item
2023-04-12 09:42:51	ga_s2bm_ard_3-2-1_56KMA_2023-04-12_final.stac-item
2023-04-12 09:42:55	ga_s2bm_ard_3-2-1_56KLA_2023-04-12_final.stac-item
2023-04-12 09:42:59	ga_s2bm_ard_3-2-1_55KHR_2023-04-12_final.stac-item
2023-04-12 09:43:02	ga_s2bm_ard_3-2-1_56KMV_2023-04-12_nrt.stac-item
2023-04-12 09:43:10	ga_s2bm_ard_3-2-1_56KLV_2023-04-12_final.stac-item
2023-04-12 09:43:13	ga_s2bm_ard_3-2-1_56KKV_2023-04-12_final.stac-item
2023-04-12 09:43:24	ga_s2bm_ard_3-2-1_56KLU_2023-04-12_final.stac-item
2023-04-12 09:43:28	ga_s2bm_ard_3-2-1_55KHP_2023-04-12_final.stac-item
2023-04-12 09:43:36	ga_s2bm_ard_3-2-1_55KFP_2023-04-12_final.stac-item
2023-04-12 09:43:39	ga_s2bm_ard_3-2-1_56JLT_2023-04-12_final.stac-item
2023-04-12 09:43:49	ga_s2bm_ard_3-2-1_55JFN_2023-04-12_final.stac-item
2023-04-12 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2023-04-12_final.stac-item
2023-04-12 09:44:18	ga_s2bm_ard_3-2-1_55JFL_2023-04-12_final.stac-item
2023-04-12 09:44:26	ga_s2bm_ard_3-2-1_55JEL_2023-04-12_final.stac-item
2023-04-12 09:45:34	ga_s2bm_ard_3-2-1_55JEF_2023-04-12_final.stac-item
2023-04-12 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2023-04-12_final.stac-item
2023-04-12 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2023-04-12_final.stac-item
2023-04-12 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2023-04-12_final.stac-item
2023-04-12 09:46:57	ga_s2bm_ard_3-2-1_55HFV_2023-04-12_final.stac-item
2023-04-12 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2023-04-12_final.stac-item
2023-04-12 09:47:05	ga_s2bm_ard_3-2-1_55HDV_2023-04-12_final.stac-item
2023-04-12 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2023-04-12_final.stac-item
2023-04-12 09:47:45	ga_s2bm_ard_3-2-1_55HES_2023-04-12_final.stac-item
2023-04-12 09:47:52	ga_s2bm_ard_3-2-1_55HCS_2023-04-12_final.stac-item
2023-04-12 09:47:55	ga_s2bm_ard_3-2-1_55HBS_2023-04-12_final.stac-item
2023-04-12 09:47:56	ga_s2bm_ard_3-2-1_54HYB_2023-04-12_final.stac-item
2023-04-12 09:48:23	ga_s2bm_ard_3-2-1_55GEP_2023-04-12_final.stac-item
2023-04-12 09:48:32	ga_s2bm_ard_3-2-1_55GDP_2023-04-12_final.stac-item
2023-04-12 09:48:36	ga_s2bm_ard_3-2-1_55GCP_2023-04-12_final.stac-item
2023-04-12 09:48:39	ga_s2bm_ard_3-2-1_54GYU_2023-04-12_nrt.stac-item
2023-04-12 09:48:39	ga_s2bm_ard_3-2-1_55GBP_2023-04-12_nrt.stac-item
2023-04-12 09:48:43	ga_s2bm_ard_3-2-1_54GXU_2023-04-12_nrt.stac-item
2023-04-12 09:48:46	ga_s2bm_ard_3-2-1_55GBP_2023-04-12_nrt.stac-item
2023-04-12 09:48:48	ga_s2bm_ard_3-2-1_54GXU_2023-04-12_nrt.stac-item
2023-04-12 11:20:32	ga_s2bm_ard_3-2-1_52LEN_2023-04-12_nrt.stac-item
2023-04-12 11:20:35	ga_s2bm_ard_3-2-1_52LDN_2023-04-12_nrt.stac-item
2023-04-12 11:20:38	ga_s2bm_ard_3-2-1_52LCN_2023-04-12_nrt.stac-item
2023-04-12 11:20:46	ga_s2bm_ard_3-2-1_52LEM_2023-04-12_nrt.stac-item
2023-04-12 11:20:50	ga_s2bm_ard_3-2-1_52LDM_2023-04-12_nrt.stac-item
2023-04-12 11:20:53	ga_s2bm_ard_3-2-1_52LCM_2023-04-12_nrt.stac-item
2023-04-12 11:20:58	ga_s2bm_ard_3-2-1_51LZG_2023-04-12_nrt.stac-item
2023-04-12 11:21:04	ga_s2bm_ard_3-2-1_52LDL_2023-04-12_nrt.stac-item
2023-04-12 11:21:11	ga_s2bm_ard_3-2-1_52LBL_2023-04-12_nrt.stac-item
2023-04-12 11:21:12	ga_s2bm_ard_3-2-1_51LZF_2023-04-12_nrt.stac-item
2023-04-12 11:21:19	ga_s2bm_ard_3-2-1_52LDK_2023-04-12_nrt.stac-item
2023-04-12 11:21:22	ga_s2bm_ard_3-2-1_52LCK_2023-04-12_final.stac-item
2023-04-12 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2023-04-12_final.stac-item
2023-04-12 11:22:02	ga_s2bm_ard_3-2-1_52KDG_2023-04-12_final.stac-item
2023-04-12 11:22:09	ga_s2bm_ard_3-2-1_52KBG_2023-04-12_final.stac-item
2023-04-12 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2023-04-12_final.stac-item
2023-04-12 11:22:13	ga_s2bm_ard_3-2-1_52KDF_2023-04-12_final.stac-item
2023-04-12 11:22:23	ga_s2bm_ard_3-2-1_52KBF_2023-04-12_final.stac-item
2023-04-12 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2023-04-12_final.stac-item
2023-04-12 11:22:28	ga_s2bm_ard_3-2-1_51KYA_2023-04-12_final.stac-item
2023-04-12 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2023-04-12_final.stac-item
2023-04-12 11:22:39	ga_s2bm_ard_3-2-1_51KZV_2023-04-12_final.stac-item
2023-04-12 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2023-04-12_final.stac-item
2023-04-12 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2023-04-12_final.stac-item
2023-04-12 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2023-04-12_final.stac-item
2023-04-12 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2023-04-12_final.stac-item
2023-04-12 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2023-04-12_final.stac-item
2023-04-12 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2023-04-12_final.stac-item
2023-04-12 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-04-12_final.stac-item
2023-04-12 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2023-04-12_final.stac-item
2023-04-12 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2023-04-12_final.stac-item
2023-04-12 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2023-04-12_final.stac-item
2023-04-12 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2023-04-12_final.stac-item
2023-04-12 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2023-04-12_final.stac-item
2023-04-12 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2023-04-12_final.stac-item
2023-04-12 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2023-04-12_final.stac-item
2023-04-12 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2023-04-12_final.stac-item
2023-04-12 11:24:31	ga_s2bm_ard_3-2-1_51JWN_2023-04-12_final.stac-item
2023-04-12 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2023-04-12_final.stac-item
2023-04-12 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2023-04-12_final.stac-item
2023-04-12 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2023-04-12_final.stac-item
2023-04-12 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2023-04-12_final.stac-item
2023-04-12 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2023-04-12_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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