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
2024-03-25 10:41:46	ga_s2bm_ard_3-2-1_53KRB_2024-03-25_final
2024-03-25 10:41:49	ga_s2bm_ard_3-2-1_53KQB_2024-03-25_final
2024-03-25 10:41:53	ga_s2bm_ard_3-2-1_53KPB_2024-03-25_final
2024-03-25 10:41:54	ga_s2bm_ard_3-2-1_54KTF_2024-03-25_final
2024-03-25 10:41:56	ga_s2bm_ard_3-2-1_53KNB_2024-03-25_final
2024-03-25 10:42:00	ga_s2bm_ard_3-2-1_53KRA_2024-03-25_final
2024-03-25 10:42:04	ga_s2bm_ard_3-2-1_53KQA_2024-03-25_final
2024-03-25 10:42:07	ga_s2bm_ard_3-2-1_53KPA_2024-03-25_final
2024-03-25 10:42:11	ga_s2bm_ard_3-2-1_53KNA_2024-03-25_final
2024-03-25 10:42:13	ga_s2bm_ard_3-2-1_53KRV_2024-03-25_final
2024-03-25 10:43:25	ga_s2bm_ard_3-2-1_53KQQ_2024-03-25_final
2024-03-25 10:43:27	ga_s2bm_ard_3-2-1_53KMR_2024-03-25_final
2024-03-25 10:43:34	ga_s2bm_ard_3-2-1_53KPQ_2024-03-25_final
2024-03-25 10:43:38	ga_s2bm_ard_3-2-1_53KNQ_2024-03-25_final
2024-03-25 10:43:41	ga_s2bm_ard_3-2-1_53KMQ_2024-03-25_final
2024-03-25 10:43:46	ga_s2bm_ard_3-2-1_53KLQ_2024-03-25_final
2024-03-25 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2024-03-25_final
2024-03-25 10:43:52	ga_s2bm_ard_3-2-1_53KNP_2024-03-25_final
2024-03-25 10:43:55	ga_s2bm_ard_3-2-1_53KMP_2024-03-25_final
2024-03-25 10:43:59	ga_s2bm_ard_3-2-1_53KLP_2024-03-25_final
2024-03-25 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2024-03-25_final
2024-03-25 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2024-03-25_final
2024-03-25 10:44:10	ga_s2bm_ard_3-2-1_53JMN_2024-03-25_final
2024-03-25 10:44:17	ga_s2bm_ard_3-2-1_53JPM_2024-03-25_final
2024-03-25 10:44:25	ga_s2bm_ard_3-2-1_53JMM_2024-03-25_final
2024-03-25 10:44:28	ga_s2bm_ard_3-2-1_53JLM_2024-03-25_final
2024-03-25 10:44:29	ga_s2bm_ard_3-2-1_53JPL_2024-03-25_final
2024-03-25 10:44:35	ga_s2bm_ard_3-2-1_53JNL_2024-03-25_final
2024-03-25 10:44:39	ga_s2bm_ard_3-2-1_53JML_2024-03-25_final
2024-03-25 10:44:43	ga_s2bm_ard_3-2-1_53JLL_2024-03-25_final
2024-03-25 10:44:48	ga_s2bm_ard_3-2-1_53JKL_2024-03-25_final
2024-03-25 10:44:54	ga_s2bm_ard_3-2-1_53JMK_2024-03-25_final
2024-03-26 10:14:31	ga_s2bm_ard_3-2-1_54JYQ_2024-03-26_final
2024-03-26 10:14:32	ga_s2bm_ard_3-2-1_54JXR_2024-03-26_final
2024-03-26 10:14:32	ga_s2bm_ard_3-2-1_54JXQ_2024-03-26_final
2024-03-26 10:14:34	ga_s2bm_ard_3-2-1_54JWR_2024-03-26_final
2024-03-26 10:14:34	ga_s2bm_ard_3-2-1_54JWQ_2024-03-26_final
2024-03-26 10:14:35	ga_s2bm_ard_3-2-1_54JVR_2024-03-26_final
2024-03-26 10:14:37	ga_s2bm_ard_3-2-1_54JYQ_2024-03-26_final
2024-03-26 10:14:40	ga_s2bm_ard_3-2-1_54JXQ_2024-03-26_final
2024-03-26 10:14:43	ga_s2bm_ard_3-2-1_54JWQ_2024-03-26_final
2024-03-26 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2024-03-26_final
2024-03-26 10:14:48	ga_s2bm_ard_3-2-1_54JYP_2024-03-26_final
2024-03-26 10:14:54	ga_s2bm_ard_3-2-1_54JXP_2024-03-26_final
2024-03-26 10:14:57	ga_s2bm_ard_3-2-1_54JWP_2024-03-26_final
2024-03-26 10:14:58	ga_s2bm_ard_3-2-1_54JYN_2024-03-26_final
2024-03-26 10:15:01	ga_s2bm_ard_3-2-1_54JVP_2024-03-26_final
2024-03-26 10:15:08	ga_s2bm_ard_3-2-1_54JUP_2024-03-26_final
2024-03-26 10:15:08	ga_s2bm_ard_3-2-1_54JXN_2024-03-26_final
2024-03-26 10:15:12	ga_s2bm_ard_3-2-1_54JWN_2024-03-26_final
2024-03-26 10:15:15	ga_s2bm_ard_3-2-1_54JVN_2024-03-26_final
2024-03-26 10:15:19	ga_s2bm_ard_3-2-1_54JUN_2024-03-26_final
2024-03-26 10:15:23	ga_s2bm_ard_3-2-1_54JXM_2024-03-26_final
2024-03-26 10:15:26	ga_s2bm_ard_3-2-1_54JWM_2024-03-26_final
2024-03-26 10:15:30	ga_s2bm_ard_3-2-1_54JVM_2024-03-26_final
2024-03-26 10:15:33	ga_s2bm_ard_3-2-1_54JUM_2024-03-26_final
2024-03-26 10:15:37	ga_s2bm_ard_3-2-1_54JXL_2024-03-26_final
2024-03-26 10:15:41	ga_s2bm_ard_3-2-1_54JWL_2024-03-26_final
2024-03-26 10:15:45	ga_s2bm_ard_3-2-1_54JVL_2024-03-26_final
2024-03-26 10:15:48	ga_s2bm_ard_3-2-1_54JUL_2024-03-26_final
2024-03-26 10:15:50	ga_s2bm_ard_3-2-1_54HXK_2024-03-26_final
2024-03-26 10:15:55	ga_s2bm_ard_3-2-1_54HWK_2024-03-26_final
2024-03-26 10:15:59	ga_s2bm_ard_3-2-1_54HVK_2024-03-26_final
2024-03-26 10:16:00	ga_s2bm_ard_3-2-1_54HXJ_2024-03-26_final
2024-03-26 10:16:02	ga_s2bm_ard_3-2-1_54HUK_2024-03-26_final
2024-03-26 10:16:10	ga_s2bm_ard_3-2-1_54HWJ_2024-03-26_final
2024-03-26 10:16:14	ga_s2bm_ard_3-2-1_54HVJ_2024-03-26_final
2024-03-26 10:16:17	ga_s2bm_ard_3-2-1_54HUJ_2024-03-26_final
2024-03-26 10:16:21	ga_s2bm_ard_3-2-1_54HTJ_2024-03-26_final
2024-03-26 10:16:24	ga_s2bm_ard_3-2-1_54HWH_2024-03-26_final
2024-03-26 10:16:26	ga_s2bm_ard_3-2-1_54HVH_2024-03-26_final
2024-03-26 10:16:28	ga_s2bm_ard_3-2-1_54HUH_2024-03-26_final
2024-03-26 10:16:29	ga_s2bm_ard_3-2-1_54HTH_2024-03-26_final
2024-03-26 10:16:31	ga_s2bm_ard_3-2-1_54HWG_2024-03-26_final
2024-03-26 10:16:31	ga_s2bm_ard_3-2-1_54HWH_2024-03-26_final
2024-03-26 10:16:33	ga_s2bm_ard_3-2-1_54HVH_2024-03-26_final
2024-03-26 10:16:35	ga_s2bm_ard_3-2-1_54HUH_2024-03-26_final
2024-03-26 10:16:36	ga_s2bm_ard_3-2-1_54HTH_2024-03-26_final
2024-03-26 10:16:39	ga_s2bm_ard_3-2-1_54HWG_2024-03-26_final
2024-03-26 10:16:43	ga_s2bm_ard_3-2-1_54HVG_2024-03-26_final
2024-03-26 10:16:46	ga_s2bm_ard_3-2-1_54HUG_2024-03-26_final
2024-03-26 10:16:49	ga_s2bm_ard_3-2-1_54HTG_2024-03-26_final
2024-03-26 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2024-03-26_final
2024-03-26 10:16:53	ga_s2bm_ard_3-2-1_54HWF_2024-03-26_final
2024-03-26 10:16:57	ga_s2bm_ard_3-2-1_54HVF_2024-03-26_final
2024-03-26 10:17:00	ga_s2bm_ard_3-2-1_54HUF_2024-03-26_final
2024-03-26 10:17:04	ga_s2bm_ard_3-2-1_54HWE_2024-03-26_final
2024-03-26 10:17:04	ga_s2bm_ard_3-2-1_54HTF_2024-03-26_final
2024-03-26 10:17:05	ga_s2bm_ard_3-2-1_53HQA_2024-03-26_final
2024-03-26 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2024-03-26_final
2024-03-26 10:17:15	ga_s2bm_ard_3-2-1_54HUE_2024-03-26_final
2024-03-26 10:17:18	ga_s2bm_ard_3-2-1_54HTE_2024-03-26_final
2024-03-26 10:17:20	ga_s2bm_ard_3-2-1_53HQV_2024-03-26_final
2024-03-26 10:17:26	ga_s2bm_ard_3-2-1_54HVD_2024-03-26_final
2024-03-26 10:17:30	ga_s2bm_ard_3-2-1_54HUD_2024-03-26_final
2024-03-26 10:17:33	ga_s2bm_ard_3-2-1_54HTD_2024-03-26_nrt
2024-03-26 10:17:37	ga_s2bm_ard_3-2-1_54HVC_2024-03-26_final
2024-03-26 10:17:38	ga_s2bm_ard_3-2-1_54HUC_2024-03-26_nrt
2024-03-26 10:17:39	ga_s2bm_ard_3-2-1_53HPU_2024-03-26_nrt
2024-03-26 10:17:40	ga_s2bm_ard_3-2-1_54HTC_2024-03-26_nrt

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