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
2022-08-28 11:31:31	ga_s2bm_ard_3-2-1_51LWE_2022-08-28_final
2022-08-28 11:31:53	ga_s2bm_ard_3-2-1_51LYC_2022-08-28_final
2022-08-28 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2022-08-28_final
2022-08-28 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2022-08-28_final
2022-08-28 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2022-08-28_final
2022-08-28 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2022-08-28_final
2022-08-28 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2022-08-28_final
2022-08-28 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2022-08-28_final
2022-08-28 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2022-08-28_final
2022-08-28 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2022-08-28_final
2022-08-28 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2022-08-28_final
2022-08-28 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-08-28_final
2022-08-28 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2022-08-28_final
2022-08-28 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2022-08-28_final
2022-08-28 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-08-28_final
2022-08-28 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2022-08-28_final
2022-08-28 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2022-08-28_final
2022-08-28 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-08-28_final
2022-08-28 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2022-08-28_final
2022-08-28 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2022-08-28_final
2022-08-28 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2022-08-28_final
2022-08-28 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2022-08-28_final
2022-08-28 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2022-08-28_final
2022-08-28 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2022-08-28_final
2022-08-28 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2022-08-28_final
2022-08-28 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2022-08-28_final
2022-08-28 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-08-28_final
2022-08-28 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2022-08-28_final
2022-08-28 11:35:16	ga_s2bm_ard_3-2-1_51JUK_2022-08-28_final
2022-08-28 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2022-08-28_final
2022-08-28 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2022-08-28_final
2022-08-28 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2022-08-28_final
2022-08-28 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2022-08-28_final
2022-08-28 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-08-28_final
2022-08-28 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2022-08-28_final
2022-08-28 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-08-28_final
2022-08-28 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2022-08-28_final
2022-08-28 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2022-08-28_final
2022-08-28 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2022-08-28_final
2022-08-28 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2022-08-28_final
2022-08-28 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2022-08-28_final
2022-08-28 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-08-28_final
2022-08-28 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2022-08-28_final
2022-08-28 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2022-08-28_final
2022-08-28 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-08-28_final
2022-08-29 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2022-08-29_final
2022-08-30 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2022-08-30_final
2022-08-30 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2022-08-30_final
2022-08-30 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2022-08-30_final
2022-08-30 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2022-08-30_final
2022-08-30 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2022-08-30_final
2022-08-30 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2022-08-30_final
2022-08-30 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2022-08-30_final
2022-08-30 12:14:32	ga_s2bm_ard_3-2-1_49JHN_2022-08-30_final
2022-08-30 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2022-08-30_final
2022-08-30 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2022-08-30_final
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final
2022-08-30 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2022-08-30_final
2022-08-30 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2022-08-30_final
2022-08-30 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2022-08-30_final
2022-08-31 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2022-08-31_final
2022-08-31 11:41:27	ga_s2bm_ard_3-2-1_51LWE_2022-08-31_final
2022-08-31 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2022-08-31_final
2022-08-31 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2022-08-31_final
2022-08-31 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2022-08-31_final
2022-08-31 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2022-08-31_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2022-08-31_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2022-08-31_final
2022-08-31 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2022-08-31_final
2022-08-31 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-08-31_final
2022-08-31 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2022-08-31_final
2022-08-31 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2022-08-31_final
2022-08-31 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2022-08-31_final
2022-08-31 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2022-08-31_final
2022-08-31 11:43:48	ga_s2bm_ard_3-2-1_51KTR_2022-08-31_final
2022-08-31 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2022-08-31_final
2022-08-31 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2022-08-31_final
2022-08-31 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2022-08-31_final
2022-08-31 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2022-08-31_final
2022-08-31 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2022-08-31_final
2022-08-31 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2022-08-31_final
2022-08-31 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2022-08-31_final
2022-08-31 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2022-08-31_final
2022-08-31 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2022-08-31_final
2022-08-31 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2022-08-31_final
2022-08-31 11:44:50	ga_s2bm_ard_3-2-1_50JQS_2022-08-31_final
2022-08-31 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2022-08-31_final
2022-08-31 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2022-08-31_final
2022-08-31 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2022-08-31_final
2022-08-31 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2022-08-31_final
2022-08-31 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2022-08-31_final
2022-08-31 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-08-31_final
2022-08-31 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2022-08-31_final
2022-08-31 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2022-08-31_final
2022-08-31 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2022-08-31_final
2022-08-31 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2022-08-31_final
2022-08-31 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2022-08-31_final
2022-08-31 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2022-08-31_final
2022-08-31 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2022-08-31_final
2022-08-31 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2022-08-31_final

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