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
2023-05-31 11:57:26	ga_s2bm_ard_3-2-1_49HFC_2023-05-31_nrt.stac-item
2023-05-31 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-31_final.stac-item
2023-05-31 11:57:28	ga_s2bm_ard_3-2-1_50HKG_2023-05-31_nrt.stac-item
2023-05-31 11:57:29	ga_s2bm_ard_3-2-1_49HGB_2023-05-31_nrt.stac-item
2023-05-31 11:57:31	ga_s2bm_ard_3-2-1_49HFB_2023-05-31_nrt.stac-item
2023-06-01 09:39:53	ga_s2bm_ard_3-2-1_56LPN_2023-06-01_nrt.stac-item
2023-06-01 09:39:57	ga_s2bm_ard_3-2-1_56LNN_2023-06-01_nrt.stac-item
2023-06-01 09:40:00	ga_s2bm_ard_3-2-1_56LMN_2023-06-01_nrt.stac-item
2023-06-01 09:40:04	ga_s2bm_ard_3-2-1_56LLN_2023-06-01_nrt.stac-item
2023-06-01 09:41:18	ga_s2bm_ard_3-2-1_56LNH_2023-06-01_nrt.stac-item
2023-06-01 09:41:24	ga_s2bm_ard_3-2-1_56KNG_2023-06-01_nrt.stac-item
2023-06-01 09:41:27	ga_s2bm_ard_3-2-1_56KMG_2023-06-01_final.stac-item
2023-06-01 09:41:33	ga_s2bm_ard_3-2-1_56KKG_2023-06-01_final.stac-item
2023-06-01 09:41:36	ga_s2bm_ard_3-2-1_55KHB_2023-06-01_final.stac-item
2023-06-01 09:41:48	ga_s2bm_ard_3-2-1_56KKF_2023-06-01_final.stac-item
2023-06-01 09:42:11	ga_s2bm_ard_3-2-1_56KMD_2023-06-01_final.stac-item
2023-06-01 09:42:43	ga_s2bm_ard_3-2-1_56KLB_2023-06-01_final.stac-item
2023-06-01 09:42:58	ga_s2bm_ard_3-2-1_56KLA_2023-06-01_final.stac-item
2023-06-01 09:43:01	ga_s2bm_ard_3-2-1_56KKA_2023-06-01_final.stac-item
2023-06-01 09:43:20	ga_s2bm_ard_3-2-1_55KGQ_2023-06-01_final.stac-item
2023-06-01 09:43:42	ga_s2bm_ard_3-2-1_56JLT_2023-06-01_final.stac-item
2023-06-01 09:43:45	ga_s2bm_ard_3-2-1_56JKT_2023-06-01_final.stac-item
2023-06-01 09:43:48	ga_s2bm_ard_3-2-1_55JGN_2023-06-01_final.stac-item
2023-06-01 09:43:52	ga_s2bm_ard_3-2-1_55JFN_2023-06-01_final.stac-item
2023-06-01 09:43:56	ga_s2bm_ard_3-2-1_56JLS_2023-06-01_final.stac-item
2023-06-01 09:44:06	ga_s2bm_ard_3-2-1_55JFM_2023-06-01_final.stac-item
2023-06-01 09:44:09	ga_s2bm_ard_3-2-1_56JLR_2023-06-01_final.stac-item
2023-06-01 09:44:14	ga_s2bm_ard_3-2-1_56JKR_2023-06-01_final.stac-item
2023-06-01 09:44:17	ga_s2bm_ard_3-2-1_55JGL_2023-06-01_final.stac-item
2023-06-01 09:44:21	ga_s2bm_ard_3-2-1_55JFL_2023-06-01_final.stac-item
2023-06-01 09:44:29	ga_s2bm_ard_3-2-1_55JEL_2023-06-01_final.stac-item
2023-06-01 09:44:35	ga_s2bm_ard_3-2-1_55JFK_2023-06-01_final.stac-item
2023-06-01 09:44:43	ga_s2bm_ard_3-2-1_56JKP_2023-06-01_final.stac-item
2023-06-01 09:44:46	ga_s2bm_ard_3-2-1_55JGJ_2023-06-01_final.stac-item
2023-06-01 09:44:50	ga_s2bm_ard_3-2-1_55JFJ_2023-06-01_final.stac-item
2023-06-01 09:45:08	ga_s2bm_ard_3-2-1_55JEH_2023-06-01_final.stac-item
2023-06-01 09:45:12	ga_s2bm_ard_3-2-1_56JKM_2023-06-01_final.stac-item
2023-06-01 09:45:30	ga_s2bm_ard_3-2-1_55JDG_2023-06-01_final.stac-item
2023-06-01 09:45:36	ga_s2bm_ard_3-2-1_56HKK_2023-06-01_final.stac-item
2023-06-01 09:45:44	ga_s2bm_ard_3-2-1_55HGE_2023-06-01_final.stac-item
2023-06-01 09:45:55	ga_s2bm_ard_3-2-1_55HDE_2023-06-01_final.stac-item
2023-06-01 09:46:11	ga_s2bm_ard_3-2-1_55HGC_2023-06-01_final.stac-item
2023-06-01 09:46:31	ga_s2bm_ard_3-2-1_55HFB_2023-06-01_final.stac-item
2023-06-01 09:46:35	ga_s2bm_ard_3-2-1_55HEB_2023-06-01_final.stac-item
2023-06-01 09:46:42	ga_s2bm_ard_3-2-1_55HCB_2023-06-01_final.stac-item
2023-06-01 09:47:00	ga_s2bm_ard_3-2-1_55HFV_2023-06-01_final.stac-item
2023-06-01 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2023-06-01_final.stac-item
2023-06-01 09:47:07	ga_s2bm_ard_3-2-1_55HDV_2023-06-01_final.stac-item
2023-06-01 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2023-06-01_final.stac-item
2023-06-01 09:47:33	ga_s2bm_ard_3-2-1_55HBU_2023-06-01_final.stac-item
2023-06-01 09:47:47	ga_s2bm_ard_3-2-1_55HES_2023-06-01_final.stac-item
2023-06-01 09:47:51	ga_s2bm_ard_3-2-1_55HDS_2023-06-01_final.stac-item
2023-06-01 09:47:54	ga_s2bm_ard_3-2-1_55HCS_2023-06-01_final.stac-item
2023-06-01 09:47:57	ga_s2bm_ard_3-2-1_55HBS_2023-06-01_final.stac-item
2023-06-01 09:47:59	ga_s2bm_ard_3-2-1_54HYB_2023-06-01_final.stac-item
2023-06-01 11:20:34	ga_s2bm_ard_3-2-1_52LEN_2023-06-01_nrt.stac-item
2023-06-01 11:20:38	ga_s2bm_ard_3-2-1_52LDN_2023-06-01_nrt.stac-item
2023-06-01 11:20:41	ga_s2bm_ard_3-2-1_52LCN_2023-06-01_nrt.stac-item
2023-06-01 11:20:44	ga_s2bm_ard_3-2-1_52LBN_2023-06-01_nrt.stac-item
2023-06-01 11:21:10	ga_s2bm_ard_3-2-1_52LCL_2023-06-01_nrt.stac-item
2023-06-01 11:21:13	ga_s2bm_ard_3-2-1_52LBL_2023-06-01_nrt.stac-item
2023-06-01 11:21:14	ga_s2bm_ard_3-2-1_51LZF_2023-06-01_nrt.stac-item
2023-06-01 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2023-06-01_final.stac-item
2023-06-01 11:22:04	ga_s2bm_ard_3-2-1_52KDG_2023-06-01_final.stac-item
2023-06-01 11:22:08	ga_s2bm_ard_3-2-1_52KCG_2023-06-01_final.stac-item
2023-06-01 11:22:11	ga_s2bm_ard_3-2-1_52KBG_2023-06-01_final.stac-item
2023-06-01 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2023-06-01_final.stac-item
2023-06-01 11:22:16	ga_s2bm_ard_3-2-1_51KYB_2023-06-01_final.stac-item
2023-06-01 11:22:16	ga_s2bm_ard_3-2-1_52KDF_2023-06-01_final.stac-item
2023-06-01 11:22:26	ga_s2bm_ard_3-2-1_52KBF_2023-06-01_final.stac-item
2023-06-01 11:22:30	ga_s2bm_ard_3-2-1_51KYA_2023-06-01_final.stac-item
2023-06-01 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2023-06-01_final.stac-item
2023-06-01 11:23:20	ga_s2bm_ard_3-2-1_52KCB_2023-06-01_final.stac-item
2023-06-01 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2023-06-01_final.stac-item
2023-06-01 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2023-06-01_final.stac-item
2023-06-01 11:23:57	ga_s2bm_ard_3-2-1_51KYQ_2023-06-01_final.stac-item
2023-06-01 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2023-06-01_final.stac-item
2023-06-01 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2023-06-01_final.stac-item
2023-06-01 11:24:33	ga_s2bm_ard_3-2-1_51JWN_2023-06-01_final.stac-item
2023-06-01 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2023-06-01_final.stac-item
2023-06-01 11:24:44	ga_s2bm_ard_3-2-1_51JXM_2023-06-01_final.stac-item
2023-06-01 11:24:47	ga_s2bm_ard_3-2-1_52JBR_2023-06-01_final.stac-item
2023-06-01 11:24:55	ga_s2bm_ard_3-2-1_51JYL_2023-06-01_final.stac-item
2023-06-01 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2023-06-01_final.stac-item
2023-06-01 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2023-06-01_final.stac-item
2023-06-01 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2023-06-01_final.stac-item
2023-06-01 11:25:09	ga_s2bm_ard_3-2-1_51JYK_2023-06-01_final.stac-item
2023-06-01 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2023-06-01_final.stac-item
2023-06-01 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-06-01_final.stac-item
2023-06-01 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2023-06-01_final.stac-item
2023-06-01 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2023-06-01_final.stac-item
2023-06-01 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2023-06-01_final.stac-item
2023-06-01 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2023-06-01_final.stac-item
2023-06-01 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2023-06-01_final.stac-item
2023-06-01 11:26:09	ga_s2bm_ard_3-2-1_51JUG_2023-06-01_final.stac-item
2023-06-01 11:26:15	ga_s2bm_ard_3-2-1_51JWF_2023-06-01_final.stac-item
2023-06-01 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2023-06-01_final.stac-item
2023-06-01 11:26:29	ga_s2bm_ard_3-2-1_51HWE_2023-06-01_final.stac-item
2023-06-01 11:27:11	ga_s2bm_ard_3-2-1_51HWB_2023-06-01_final.stac-item
2023-06-01 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2023-06-01_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

All years