Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2024-04-21 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-04-21_final
2024-04-21 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-04-21_final
2024-04-21 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-04-21_final
2024-04-21 12:15:14	ga_s2bm_ard_3-2-1_49JFL_2024-04-21_nrt
2024-04-21 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2024-04-21_final
2024-04-21 12:15:21	ga_s2bm_ard_3-2-1_49JFK_2024-04-21_nrt
2024-04-22 08:24:25	ga_s2bm_ard_3-2-1_59JKH_2024-04-21_final
2024-04-22 08:24:26	ga_s2bm_ard_3-2-1_58JGN_2024-04-21_final
2024-04-22 08:31:42	ga_s2bm_ard_3-2-1_57FVV_2024-04-21_final
2024-04-22 09:59:38	ga_s2bm_ard_3-2-1_55LHJ_2024-04-22_nrt
2024-04-22 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2024-04-22_nrt
2024-04-22 09:59:47	ga_s2bm_ard_3-2-1_55LFJ_2024-04-22_nrt
2024-04-22 09:59:48	ga_s2bm_ard_3-2-1_55LHH_2024-04-22_nrt
2024-04-22 09:59:51	ga_s2bm_ard_3-2-1_55LEJ_2024-04-22_nrt
2024-04-22 09:59:58	ga_s2bm_ard_3-2-1_55LGH_2024-04-22_nrt
2024-04-22 10:00:02	ga_s2bm_ard_3-2-1_55LFH_2024-04-22_nrt
2024-04-22 10:00:05	ga_s2bm_ard_3-2-1_55LEH_2024-04-22_nrt
2024-04-22 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2024-04-22_nrt
2024-04-22 10:00:13	ga_s2bm_ard_3-2-1_55LGG_2024-04-22_nrt
2024-04-22 10:00:16	ga_s2bm_ard_3-2-1_55LFG_2024-04-22_nrt
2024-04-22 10:00:19	ga_s2bm_ard_3-2-1_55LEG_2024-04-22_nrt
2024-04-22 10:00:22	ga_s2bm_ard_3-2-1_55LDG_2024-04-22_nrt
2024-04-22 10:00:27	ga_s2bm_ard_3-2-1_55LGF_2024-04-22_nrt
2024-04-22 10:00:31	ga_s2bm_ard_3-2-1_55LFF_2024-04-22_nrt
2024-04-22 10:00:34	ga_s2bm_ard_3-2-1_55LEF_2024-04-22_nrt
2024-04-22 10:00:37	ga_s2bm_ard_3-2-1_55LDF_2024-04-22_nrt
2024-04-22 10:00:41	ga_s2bm_ard_3-2-1_55LGE_2024-04-22_nrt
2024-04-22 10:00:45	ga_s2bm_ard_3-2-1_55LFE_2024-04-22_nrt
2024-04-22 10:00:49	ga_s2bm_ard_3-2-1_55LEE_2024-04-22_nrt
2024-04-22 10:00:51	ga_s2bm_ard_3-2-1_55LGD_2024-04-22_nrt
2024-04-22 10:00:52	ga_s2bm_ard_3-2-1_55LDE_2024-04-22_nrt
2024-04-22 10:00:59	ga_s2bm_ard_3-2-1_55LFD_2024-04-22_nrt
2024-04-22 10:01:03	ga_s2bm_ard_3-2-1_55LED_2024-04-22_nrt
2024-04-22 10:01:06	ga_s2bm_ard_3-2-1_55LDD_2024-04-22_nrt
2024-04-22 10:01:11	ga_s2bm_ard_3-2-1_55LCD_2024-04-22_final
2024-04-22 10:01:14	ga_s2bm_ard_3-2-1_55LFC_2024-04-22_final
2024-04-22 10:01:18	ga_s2bm_ard_3-2-1_55LEC_2024-04-22_final
2024-04-22 10:01:21	ga_s2bm_ard_3-2-1_55LDC_2024-04-22_nrt
2024-04-22 10:01:24	ga_s2bm_ard_3-2-1_55LCC_2024-04-22_final
2024-04-22 10:02:58	ga_s2bm_ard_3-2-1_55KER_2024-04-22_final
2024-04-22 10:03:03	ga_s2bm_ard_3-2-1_55KDR_2024-04-22_final
2024-04-22 10:03:06	ga_s2bm_ard_3-2-1_55KCR_2024-04-22_final
2024-04-22 10:03:09	ga_s2bm_ard_3-2-1_55KEQ_2024-04-22_final
2024-04-22 10:03:09	ga_s2bm_ard_3-2-1_55KBR_2024-04-22_final
2024-04-22 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2024-04-22_final
2024-04-22 10:03:17	ga_s2bm_ard_3-2-1_55KDQ_2024-04-22_final
2024-04-22 10:03:21	ga_s2bm_ard_3-2-1_55KCQ_2024-04-22_nrt
2024-04-22 10:03:24	ga_s2bm_ard_3-2-1_55KBQ_2024-04-22_final
2024-04-22 10:03:24	ga_s2bm_ard_3-2-1_54KZV_2024-04-22_final
2024-04-22 10:03:32	ga_s2bm_ard_3-2-1_55KDP_2024-04-22_final
2024-04-22 10:03:32	ga_s2bm_ard_3-2-1_54KYV_2024-04-22_final
2024-04-22 10:03:35	ga_s2bm_ard_3-2-1_55KCP_2024-04-22_nrt
2024-04-22 10:03:38	ga_s2bm_ard_3-2-1_55KBP_2024-04-22_nrt
2024-04-22 10:03:38	ga_s2bm_ard_3-2-1_54KZU_2024-04-22_final
2024-04-22 10:03:43	ga_s2bm_ard_3-2-1_54KYU_2024-04-22_final
2024-04-22 10:03:46	ga_s2bm_ard_3-2-1_55JDN_2024-04-22_final
2024-04-22 10:03:50	ga_s2bm_ard_3-2-1_55JCN_2024-04-22_final
2024-04-22 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2024-04-22_nrt
2024-04-22 10:03:53	ga_s2bm_ard_3-2-1_55JBN_2024-04-22_final
2024-04-22 10:03:56	ga_s2bm_ard_3-2-1_54JYT_2024-04-22_final
2024-04-22 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2024-04-22_final
2024-04-22 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2024-04-22_final
2024-04-22 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2024-04-22_final
2024-04-22 10:04:08	ga_s2bm_ard_3-2-1_55JBM_2024-04-22_final
2024-04-22 10:04:11	ga_s2bm_ard_3-2-1_54JYS_2024-04-22_final
2024-04-22 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2024-04-22_final
2024-04-22 10:04:19	ga_s2bm_ard_3-2-1_55JCL_2024-04-22_final
2024-04-22 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2024-04-22_final
2024-04-22 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2024-04-22_final
2024-04-22 10:04:25	ga_s2bm_ard_3-2-1_54JYR_2024-04-22_final
2024-04-22 10:04:32	ga_s2bm_ard_3-2-1_54JXR_2024-04-22_final
2024-04-22 10:04:33	ga_s2bm_ard_3-2-1_55JCK_2024-04-22_final
2024-04-22 10:04:37	ga_s2bm_ard_3-2-1_55JBK_2024-04-22_final
2024-04-22 10:04:40	ga_s2bm_ard_3-2-1_54JYQ_2024-04-22_final
2024-04-22 10:04:44	ga_s2bm_ard_3-2-1_54JXQ_2024-04-22_final
2024-04-22 10:04:48	ga_s2bm_ard_3-2-1_55JCJ_2024-04-22_final
2024-04-22 10:04:51	ga_s2bm_ard_3-2-1_55JBJ_2024-04-22_final
2024-04-22 10:04:54	ga_s2bm_ard_3-2-1_54JYP_2024-04-22_nrt
2024-04-22 10:04:58	ga_s2bm_ard_3-2-1_54JXP_2024-04-22_final
2024-04-22 10:05:03	ga_s2bm_ard_3-2-1_55JCH_2024-04-22_final
2024-04-22 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2024-04-22_final
2024-04-22 10:05:09	ga_s2bm_ard_3-2-1_54JYN_2024-04-22_final
2024-04-22 10:05:12	ga_s2bm_ard_3-2-1_54JXN_2024-04-22_final
2024-04-22 10:05:16	ga_s2bm_ard_3-2-1_55JCG_2024-04-22_final
2024-04-22 10:05:19	ga_s2bm_ard_3-2-1_55JBG_2024-04-22_nrt
2024-04-22 10:05:21	ga_s2bm_ard_3-2-1_54JYM_2024-04-22_final
2024-04-22 10:05:22	ga_s2bm_ard_3-2-1_54JXM_2024-04-22_final
2024-04-22 10:05:24	ga_s2bm_ard_3-2-1_55JCG_2024-04-22_final
2024-04-22 10:05:24	ga_s2bm_ard_3-2-1_55JCF_2024-04-22_final
2024-04-22 10:05:25	ga_s2bm_ard_3-2-1_55JBF_2024-04-22_final
2024-04-22 10:05:26	ga_s2bm_ard_3-2-1_55JBG_2024-04-22_final
2024-04-22 10:05:27	ga_s2bm_ard_3-2-1_54JYM_2024-04-22_final
2024-04-22 10:05:29	ga_s2bm_ard_3-2-1_55JCF_2024-04-22_final
2024-04-22 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2024-04-22_final
2024-04-22 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-04-22_final
2024-04-22 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2024-04-22_final
2024-04-22 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-04-22_final
2024-04-22 11:47:30	ga_s2bm_ard_3-2-1_50HPF_2024-04-22_nrt
2024-04-22 11:47:32	ga_s2bm_ard_3-2-1_50HNF_2024-04-22_nrt
2024-04-22 11:47:33	ga_s2bm_ard_3-2-1_50HMF_2024-04-22_interim

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years