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
2023-06-11 09:39:40	ga_s2bm_ard_3-2-1_56LPP_2023-06-11_nrt.stac-item
2023-06-11 09:39:44	ga_s2bm_ard_3-2-1_56LNP_2023-06-11_nrt.stac-item
2023-06-11 09:39:47	ga_s2bm_ard_3-2-1_56LMP_2023-06-11_nrt.stac-item
2023-06-11 09:39:53	ga_s2bm_ard_3-2-1_56LLP_2023-06-11_nrt.stac-item
2023-06-11 09:40:09	ga_s2bm_ard_3-2-1_56LPM_2023-06-11_nrt.stac-item
2023-06-11 09:40:12	ga_s2bm_ard_3-2-1_56LNM_2023-06-11_nrt.stac-item
2023-06-11 09:40:13	ga_s2bm_ard_3-2-1_56LMM_2023-06-11_nrt.stac-item
2023-06-11 09:40:18	ga_s2bm_ard_3-2-1_56LNL_2023-06-11_nrt.stac-item
2023-06-11 09:41:37	ga_s2bm_ard_3-2-1_55KHB_2023-06-11_final.stac-item
2023-06-11 09:41:50	ga_s2bm_ard_3-2-1_55KHA_2023-06-11_nrt.stac-item
2023-06-11 09:42:19	ga_s2bm_ard_3-2-1_56KKD_2023-06-11_nrt.stac-item
2023-06-11 09:42:34	ga_s2bm_ard_3-2-1_55KHT_2023-06-11_nrt.stac-item
2023-06-11 09:42:38	ga_s2bm_ard_3-2-1_55KGT_2023-06-11_final.stac-item
2023-06-11 09:42:41	ga_s2bm_ard_3-2-1_56KMB_2023-06-11_final.stac-item
2023-06-11 09:42:45	ga_s2bm_ard_3-2-1_56KLB_2023-06-11_final.stac-item
2023-06-11 09:42:48	ga_s2bm_ard_3-2-1_56KKB_2023-06-11_final.stac-item
2023-06-11 09:42:51	ga_s2bm_ard_3-2-1_55KGS_2023-06-11_final.stac-item
2023-06-11 09:42:55	ga_s2bm_ard_3-2-1_56KMA_2023-06-11_final.stac-item
2023-06-11 09:43:02	ga_s2bm_ard_3-2-1_56KKA_2023-06-11_final.stac-item
2023-06-11 09:43:06	ga_s2bm_ard_3-2-1_55KGR_2023-06-11_final.stac-item
2023-06-11 09:43:17	ga_s2bm_ard_3-2-1_56KKV_2023-06-11_final.stac-item
2023-06-11 09:43:21	ga_s2bm_ard_3-2-1_55KGQ_2023-06-11_final.stac-item
2023-06-11 09:43:28	ga_s2bm_ard_3-2-1_56KLU_2023-06-11_final.stac-item
2023-06-11 09:43:32	ga_s2bm_ard_3-2-1_56KKU_2023-06-11_final.stac-item
2023-06-11 09:43:35	ga_s2bm_ard_3-2-1_55KGP_2023-06-11_final.stac-item
2023-06-11 09:43:39	ga_s2bm_ard_3-2-1_55KFP_2023-06-11_final.stac-item
2023-06-11 09:43:46	ga_s2bm_ard_3-2-1_56JKT_2023-06-11_final.stac-item
2023-06-11 09:43:50	ga_s2bm_ard_3-2-1_55JGN_2023-06-11_final.stac-item
2023-06-11 09:43:57	ga_s2bm_ard_3-2-1_56JLS_2023-06-11_final.stac-item
2023-06-11 09:44:01	ga_s2bm_ard_3-2-1_56JKS_2023-06-11_final.stac-item
2023-06-11 09:44:04	ga_s2bm_ard_3-2-1_55JGM_2023-06-11_final.stac-item
2023-06-11 09:44:08	ga_s2bm_ard_3-2-1_55JFM_2023-06-11_final.stac-item
2023-06-11 09:45:38	ga_s2bm_ard_3-2-1_55JEF_2023-06-11_final.stac-item
2023-06-11 09:45:42	ga_s2bm_ard_3-2-1_55JDF_2023-06-11_final.stac-item
2023-06-11 09:45:59	ga_s2bm_ard_3-2-1_55HGD_2023-06-11_final.stac-item
2023-06-11 09:46:12	ga_s2bm_ard_3-2-1_55HGC_2023-06-11_final.stac-item
2023-06-11 09:46:22	ga_s2bm_ard_3-2-1_55HEC_2023-06-11_final.stac-item
2023-06-11 09:46:22	ga_s2bm_ard_3-2-1_55HGB_2023-06-11_final.stac-item
2023-06-11 09:46:25	ga_s2bm_ard_3-2-1_55HDC_2023-06-11_final.stac-item
2023-06-11 09:46:32	ga_s2bm_ard_3-2-1_55HCC_2023-06-11_final.stac-item
2023-06-11 09:46:36	ga_s2bm_ard_3-2-1_55HEB_2023-06-11_final.stac-item
2023-06-11 09:46:40	ga_s2bm_ard_3-2-1_55HDB_2023-06-11_final.stac-item
2023-06-11 09:46:44	ga_s2bm_ard_3-2-1_55HCB_2023-06-11_final.stac-item
2023-06-11 09:46:51	ga_s2bm_ard_3-2-1_55HEA_2023-06-11_final.stac-item
2023-06-11 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2023-06-11_final.stac-item
2023-06-11 09:47:01	ga_s2bm_ard_3-2-1_55HFV_2023-06-11_final.stac-item
2023-06-11 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-06-11_final.stac-item
2023-06-11 09:47:09	ga_s2bm_ard_3-2-1_55HDV_2023-06-11_final.stac-item
2023-06-11 09:47:12	ga_s2bm_ard_3-2-1_55HCV_2023-06-11_final.stac-item
2023-06-11 09:47:48	ga_s2bm_ard_3-2-1_55HES_2023-06-11_final.stac-item
2023-06-11 09:47:52	ga_s2bm_ard_3-2-1_55HDS_2023-06-11_final.stac-item
2023-06-11 09:47:56	ga_s2bm_ard_3-2-1_55HCS_2023-06-11_final.stac-item
2023-06-11 09:47:59	ga_s2bm_ard_3-2-1_55HBS_2023-06-11_final.stac-item
2023-06-11 09:48:00	ga_s2bm_ard_3-2-1_54HYB_2023-06-11_final.stac-item
2023-06-11 09:48:27	ga_s2bm_ard_3-2-1_55GEP_2023-06-11_final.stac-item
2023-06-11 09:48:35	ga_s2bm_ard_3-2-1_55GDP_2023-06-11_final.stac-item
2023-06-11 09:48:39	ga_s2bm_ard_3-2-1_55GCP_2023-06-11_final.stac-item
2023-06-11 09:48:42	ga_s2bm_ard_3-2-1_54GYU_2023-06-11_nrt.stac-item
2023-06-11 09:48:43	ga_s2bm_ard_3-2-1_55GBP_2023-06-11_nrt.stac-item
2023-06-11 09:48:47	ga_s2bm_ard_3-2-1_54GXU_2023-06-11_nrt.stac-item
2023-06-11 09:48:50	ga_s2bm_ard_3-2-1_54GYU_2023-06-11_nrt.stac-item
2023-06-11 09:48:51	ga_s2bm_ard_3-2-1_55GBP_2023-06-11_nrt.stac-item
2023-06-11 09:48:52	ga_s2bm_ard_3-2-1_54GXU_2023-06-11_nrt.stac-item
2023-06-11 11:20:21	ga_s2bm_ard_3-2-1_52LEP_2023-06-11_nrt.stac-item
2023-06-11 11:20:25	ga_s2bm_ard_3-2-1_52LDP_2023-06-11_nrt.stac-item
2023-06-11 11:20:28	ga_s2bm_ard_3-2-1_52LCP_2023-06-11_nrt.stac-item
2023-06-11 11:20:31	ga_s2bm_ard_3-2-1_52LBP_2023-06-11_nrt.stac-item
2023-06-11 11:20:45	ga_s2bm_ard_3-2-1_52LBN_2023-06-11_nrt.stac-item
2023-06-11 11:20:51	ga_s2bm_ard_3-2-1_51LZH_2023-06-11_nrt.stac-item
2023-06-11 11:20:57	ga_s2bm_ard_3-2-1_52LCM_2023-06-11_nrt.stac-item
2023-06-11 11:21:03	ga_s2bm_ard_3-2-1_52LEL_2023-06-11_final.stac-item
2023-06-11 11:21:08	ga_s2bm_ard_3-2-1_52LDL_2023-06-11_nrt.stac-item
2023-06-11 11:22:13	ga_s2bm_ard_3-2-1_52KBG_2023-06-11_final.stac-item
2023-06-11 11:22:28	ga_s2bm_ard_3-2-1_51KZA_2023-06-11_final.stac-item
2023-06-11 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2023-06-11_final.stac-item
2023-06-11 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2023-06-11_final.stac-item
2023-06-11 11:23:21	ga_s2bm_ard_3-2-1_52KCB_2023-06-11_final.stac-item
2023-06-11 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-06-11_final.stac-item
2023-06-11 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-06-11_final.stac-item
2023-06-11 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2023-06-11_final.stac-item
2023-06-11 11:23:40	ga_s2bm_ard_3-2-1_52KBA_2023-06-11_final.stac-item
2023-06-11 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-06-11_final.stac-item
2023-06-11 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-06-11_final.stac-item
2023-06-11 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-06-11_final.stac-item
2023-06-11 11:24:09	ga_s2bm_ard_3-2-1_52KBU_2023-06-11_final.stac-item
2023-06-11 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2023-06-11_final.stac-item
2023-06-11 11:24:17	ga_s2bm_ard_3-2-1_51KXP_2023-06-11_final.stac-item
2023-06-11 11:24:24	ga_s2bm_ard_3-2-1_52JBT_2023-06-11_final.stac-item
2023-06-11 11:24:28	ga_s2bm_ard_3-2-1_51JYN_2023-06-11_final.stac-item
2023-06-11 11:24:37	ga_s2bm_ard_3-2-1_52JBS_2023-06-11_final.stac-item
2023-06-11 11:24:42	ga_s2bm_ard_3-2-1_51JYM_2023-06-11_final.stac-item
2023-06-11 11:24:46	ga_s2bm_ard_3-2-1_51JXM_2023-06-11_final.stac-item
2023-06-11 11:24:49	ga_s2bm_ard_3-2-1_51JWM_2023-06-11_final.stac-item
2023-06-11 11:26:16	ga_s2bm_ard_3-2-1_51JWF_2023-06-11_final.stac-item
2023-06-11 11:26:20	ga_s2bm_ard_3-2-1_51JVF_2023-06-11_final.stac-item
2023-06-11 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2023-06-11_final.stac-item
2023-06-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-06-11_final.stac-item
2023-06-11 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2023-06-11_final.stac-item
2023-06-11 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2023-06-11_final.stac-item
2023-06-11 11:27:16	ga_s2bm_ard_3-2-1_51HUB_2023-06-11_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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