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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KVB_2017-08-27_final
2017-09-20 11:25:57	ga_s2bm_ard_3-2-1_51JUF_2017-09-20_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50KKA_2017-12-01_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXA_2018-01-21_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPK_2018-01-24_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KTP_2018-03-05_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51HVD_2018-03-19_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50KKU_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQH_2018-04-21_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KQC_2018-05-17_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQG_2018-05-21_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HPH_2018-06-10_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KVQ_2018-06-20_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KWR_2018-07-20_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-08-21_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KVT_2018-08-22_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVB_2018-09-21_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KUS_2018-10-28_final
2018-11-19 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-11-19_final
2018-12-07 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2018-12-07_final
2018-12-10 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2018-12-10_final
2018-12-23 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2018-12-23_final
2019-01-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-01-22_final
2019-02-08 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-02-08_final
2019-02-15 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2019-02-15_final
2019-04-29 11:43:43	ga_s2bm_ard_3-2-1_51KVR_2019-04-29_final
2019-07-05 11:33:18	ga_s2bm_ard_3-2-1_51KXT_2019-07-05_final
2019-07-12 11:27:07	ga_s2bm_ard_3-2-1_51HVC_2019-07-12_final
2019-09-25 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-09-25_final
2019-11-08 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-11-08_final
2019-12-05 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2019-12-05_final
2019-12-15 11:47:15	ga_s2bm_ard_3-2-1_50HNG_2019-12-15_final.stac-item
2019-12-22 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2019-12-22_final
2019-12-25 11:44:46	ga_s2bm_ard_3-2-1_51JUL_2019-12-25_final
2020-01-01 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2020-01-01_final
2020-01-11 11:32:06	ga_s2bm_ard_3-2-1_51KXB_2020-01-11_final
2020-02-03 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-02-03_final
2020-02-13 11:43:23	ga_s2bm_ard_3-2-1_51KTS_2020-02-13_final
2020-05-26 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2020-05-26_final
2020-05-29 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-05-29_final
2020-07-08 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-07-08_final
2020-07-11 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-07-11_final
2020-07-15 11:56:23	ga_s2bm_ard_3-2-1_50JML_2020-07-15_final
2020-08-08 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-08-08_final
2020-10-10 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-10_final.stac-item
2021-01-05 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2021-01-05_final
2021-02-06 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-02-06_final
2021-03-12 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-03-12_final
2021-03-16 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-03-16_final
2021-05-12 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-05-12_final
2021-05-18 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-05-18_final
2021-06-23 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2021-06-23_final
2021-06-24 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-06-24_final
2021-07-14 11:35:39	ga_s2bm_ard_3-2-1_50JQP_2021-07-14_final
2021-08-12 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-08-12_final
2021-08-13 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2021-08-13_final
2021-09-05 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-09-05_final
2021-10-06 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2021-10-06_final
2021-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-10-28_final
2021-10-31 12:03:57	ga_s2bm_ard_3-2-1_50KLA_2021-10-31_final
2021-12-01 11:32:10	ga_s2bm_ard_3-2-1_51KWB_2021-12-01_final
2021-12-21 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2021-12-21_final
2022-01-07 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2022-01-07_final
2022-01-14 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2022-01-14_final
2022-02-25 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2022-02-25_final
2022-03-14 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2022-03-14_final
2022-03-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-03-31_final
2022-04-23 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2022-04-23_final
2022-05-23 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2022-05-23_final
2022-05-29 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2022-05-29_final
2022-06-02 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2022-06-02_final
2022-09-20 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2022-09-20_final.stac-item
2022-10-10 13:21:36	ga_s2bm_ard_3-2-1_46LHN_2022-10-10_interim.stac-item
2022-10-30 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2022-10-30_final.stac-item
2023-01-15 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2023-01-15_final.stac-item
2023-02-04 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-02-04_final.stac-item
2023-03-22 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-03-22_final.stac-item
2023-03-25 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-03-25_final.stac-item
2023-03-30 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2023-03-30_final.stac-item
2023-04-02 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-04-02_final.stac-item
2023-04-14 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-04-14_final.stac-item
2023-04-18 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-04-18_final.stac-item
2023-05-24 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-05-24_final.stac-item
2023-06-11 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-06-11_final.stac-item
2023-06-13 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-06-13_final.stac-item
2023-07-01 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2023-07-01_final.stac-item
2023-07-03 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-07-03_final.stac-item
2023-08-09 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-08-09_final.stac-item
2023-08-13 11:32:38	ga_s2bm_ard_3-2-1_51KVA_2023-08-13_final.stac-item
2023-09-15 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-09-15_final.stac-item
2023-11-08 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2023-11-08_final.stac-item
2023-11-21 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2023-11-21_final.stac-item
2023-12-01 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-12-01_final.stac-item
2024-01-13 11:43:22	ga_s2bm_ard_3-2-1_51KUS_2024-01-13_final.stac-item
2024-02-09 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2024-02-09_final.stac-item
2024-03-19 12:04:29	ga_s2bm_ard_3-2-1_50JMT_2024-03-19_final.stac-item
2024-03-27 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2024-03-27_final.stac-item
2024-04-06 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2024-04-06_final.stac-item
2024-04-13 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2024-04-13_final.stac-item
2024-05-13 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2024-05-13_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

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