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
2024-03-27 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2024-03-27_final
2024-03-27 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2024-03-27_final
2024-03-27 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2024-03-27_final
2024-03-27 11:27:09	ga_s2bm_ard_3-2-1_51HVB_2024-03-27_final
2024-03-29 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2024-03-29_final
2024-03-29 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2024-03-29_final
2024-03-29 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2024-03-29_final
2024-03-29 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-03-29_final
2024-03-29 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-03-29_final
2024-03-29 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-03-29_final
2024-03-29 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-03-29_final
2024-03-29 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2024-03-29_final
2024-03-29 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2024-03-29_final
2024-03-29 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2024-03-29_final
2024-03-29 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-03-29_final
2024-03-29 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2024-03-29_final
2024-03-29 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2024-03-29_final
2024-03-29 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2024-03-29_final
2024-03-29 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2024-03-29_final
2024-03-29 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-03-29_final
2024-03-29 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2024-03-29_final
2024-03-29 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2024-03-29_final
2024-03-29 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2024-03-29_final
2024-03-29 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2024-03-29_final
2024-03-29 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2024-03-29_final
2024-03-29 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2024-03-29_final
2024-03-29 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2024-03-29_final
2024-03-29 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-03-29_final
2024-03-29 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2024-03-29_final
2024-03-29 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2024-03-29_final
2024-03-30 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2024-03-30_final
2024-03-30 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2024-03-30_final
2024-03-30 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2024-03-30_final
2024-03-30 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-03-30_final
2024-03-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-03-30_final
2024-03-30 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-03-30_final
2024-03-30 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-03-30_final
2024-03-30 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2024-03-30_final
2024-03-30 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-03-30_final
2024-03-30 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2024-03-30_final
2024-03-30 11:37:24	ga_s2bm_ard_3-2-1_50HQG_2024-03-30_final
2024-03-30 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2024-03-30_final
2024-04-01 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2024-04-01_final
2024-04-01 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2024-04-01_final
2024-04-01 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2024-04-01_final
2024-04-01 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2024-04-01_final
2024-04-01 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2024-04-01_final
2024-04-01 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2024-04-01_final
2024-04-01 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2024-04-01_final
2024-04-01 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2024-04-01_final
2024-04-01 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2024-04-01_final
2024-04-02 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2024-04-02_final
2024-04-02 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2024-04-02_final
2024-04-02 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2024-04-02_final
2024-04-02 11:44:15	ga_s2bm_ard_3-2-1_50KRU_2024-04-02_final
2024-04-02 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2024-04-02_final
2024-04-02 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2024-04-02_final
2024-04-02 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2024-04-02_final
2024-04-02 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2024-04-02_final
2024-04-02 11:45:35	ga_s2bm_ard_3-2-1_50JPP_2024-04-02_final
2024-04-02 11:45:49	ga_s2bm_ard_3-2-1_50JPN_2024-04-02_final
2024-04-02 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2024-04-02_final
2024-04-02 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2024-04-02_final
2024-04-02 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2024-04-02_final
2024-04-02 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2024-04-02_final
2024-04-02 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2024-04-02_final
2024-04-02 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2024-04-02_final
2024-04-02 11:46:25	ga_s2bm_ard_3-2-1_50JML_2024-04-02_final
2024-04-02 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2024-04-02_final
2024-04-02 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2024-04-02_final
2024-04-02 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2024-04-02_final
2024-04-02 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2024-04-02_final
2024-04-02 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2024-04-02_final
2024-04-02 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2024-04-02_final
2024-04-02 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2024-04-02_final
2024-04-02 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2024-04-02_final
2024-04-02 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2024-04-02_final
2024-04-02 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2024-04-02_final
2024-04-02 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2024-04-02_final
2024-04-02 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2024-04-02_final
2024-04-02 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-04-02_final
2024-04-03 11:16:53	ga_s2bm_ard_3-2-1_51HXC_2024-04-03_final
2024-04-05 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2024-04-05_final
2024-04-05 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2024-04-05_final
2024-04-05 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2024-04-05_final
2024-04-05 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2024-04-05_final
2024-04-05 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2024-04-05_final
2024-04-05 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-04-05_final
2024-04-05 11:57:11	ga_s2bm_ard_3-2-1_50HMG_2024-04-05_final
2024-04-06 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2024-04-06_final
2024-04-06 11:27:09	ga_s2bm_ard_3-2-1_51HVB_2024-04-06_final
2024-04-18 12:03:02	ga_s2bm_ard_3-2-1_50KKE_2024-04-18_nrt
2024-04-18 12:03:10	ga_s2bm_ard_3-2-1_50KMD_2024-04-18_nrt
2024-04-18 12:03:16	ga_s2bm_ard_3-2-1_50KKD_2024-04-18_nrt
2024-04-18 12:06:17	ga_s2bm_ard_3-2-1_49JFG_2024-04-18_nrt
2024-04-18 12:06:24	ga_s2bm_ard_3-2-1_50JKL_2024-04-18_nrt
2024-04-18 12:06:27	ga_s2bm_ard_3-2-1_49JFF_2024-04-18_nrt
2024-04-19 11:37:28	ga_s2bm_ard_3-2-1_50HPF_2024-04-19_nrt
2024-04-19 11:37:30	ga_s2bm_ard_3-2-1_50HQF_2024-04-19_nrt
2024-04-19 11:37:31	ga_s2bm_ard_3-2-1_50HPF_2024-04-19_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