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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JUH_2017-08-14_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVT_2017-11-22_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KXQ_2017-12-29_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLP_2018-01-17_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JXG_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LWC_2018-01-31_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JUG_2018-02-07_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KDG_2018-02-14_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KYU_2018-03-09_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVT_2018-04-01_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JXK_2018-06-07_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JXN_2018-06-07_final
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JFL_2018-07-28_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HUE_2018-08-09_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51LXD_2018-10-08_final
2019-01-06 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2019-01-06_final
2019-01-06 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2019-01-06_final
2019-02-13 10:56:00	ga_s2bm_ard_3-2-1_52JFL_2019-02-13_final
2019-02-25 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-02-25_final
2019-03-27 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2019-03-27_final
2019-04-03 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2019-04-03_final
2019-04-23 11:23:35	ga_s2bm_ard_3-2-1_51KXS_2019-04-23_final
2019-05-24 10:54:30	ga_s2bm_ard_3-2-1_52JFT_2019-05-24_final
2019-08-08 11:14:36	ga_s2bm_ard_3-2-1_51JYN_2019-08-08_final
2019-08-09 10:45:54	ga_s2bm_ard_3-2-1_52JGM_2019-08-09_final
2019-08-14 11:35:14	ga_s2bm_ard_3-2-1_51JWK_2019-08-14_final
2019-09-10 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2019-09-10_final
2019-09-30 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2019-09-30_final
2019-10-03 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-03_final
2020-02-10 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-02-10_final
2020-02-17 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2020-02-17_final
2020-03-14 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-03-14_final
2020-03-22 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2020-03-22_final
2020-04-04 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2020-04-04_final
2020-05-09 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2020-05-09_final
2020-05-20 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2020-05-20_final
2020-07-29 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2020-07-29_final
2020-09-17 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-09-17_final
2020-09-20 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-09-20_final
2020-12-09 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-12-09_final
2020-12-16 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2020-12-16_final
2021-01-13 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2021-01-13_final
2021-01-15 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-01-15_final
2021-04-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-04-07_final
2021-05-04 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-05-04_final
2021-05-25 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-05-25_final
2021-06-21 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2021-06-21_final
2021-06-21 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-06-21_final
2021-07-27 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2021-07-27_final
2021-08-09 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2021-08-09_final
2021-08-09 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-08-09_final
2021-09-13 11:05:59	ga_s2bm_ard_3-2-1_52JDL_2021-09-13_final
2021-10-10 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2021-10-10_final
2021-10-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2021-10-25_final
2021-11-11 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-11-11_final
2021-12-11 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2021-12-11_final
2021-12-15 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2021-12-15_final
2022-01-10 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-01-10_final
2022-02-03 11:13:20	ga_s2bm_ard_3-2-1_52KBB_2022-02-03_final
2022-02-09 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2022-02-09_final
2022-02-18 12:04:21	ga_s2bm_ard_3-2-1_50KKU_2022-02-18_final
2022-03-04 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2022-03-04_final
2022-04-17 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2022-04-17_final
2022-06-10 11:04:23	ga_s2bm_ard_3-2-1_52JDT_2022-06-10_final
2022-07-13 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2022-07-13_final
2022-07-19 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2022-07-19_final
2022-08-05 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2022-08-05_final
2022-08-08 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2022-08-08_final
2022-08-12 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2022-08-12_final
2022-08-28 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2022-08-28_final
2022-09-10 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2022-09-10_final.stac-item
2022-09-13 13:31:41	ga_s2bm_ard_3-2-1_46LHM_2022-09-13_interim.stac-item
2022-09-14 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2022-09-14_final.stac-item
2022-10-27 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2022-10-27_final.stac-item
2022-10-31 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2022-10-31_final.stac-item
2022-11-09 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-11-09_final.stac-item
2022-11-10 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2022-11-10_final.stac-item
2022-11-10 12:50:58	ga_s2bm_ard_3-2-1_48LXP_2022-11-10_interim.stac-item
2023-01-11 13:31:35	ga_s2bm_ard_3-2-1_46LHM_2023-01-11_interim.stac-item
2023-02-21 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2023-02-21_final.stac-item
2023-04-01 11:56:25	ga_s2bm_ard_3-2-1_50JML_2023-04-01_final.stac-item
2023-04-05 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2023-04-05_final.stac-item
2023-04-05 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-04-05_final.stac-item
2023-05-01 11:54:10	ga_s2bm_ard_3-2-1_50KNV_2023-05-01_final.stac-item
2023-06-17 11:44:21	ga_s2bm_ard_3-2-1_51KTP_2023-06-17_final.stac-item
2023-06-21 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2023-06-21_final.stac-item
2023-11-04 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-11-04_final.stac-item
2023-11-11 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-11-11_final.stac-item
2023-12-01 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-01_final.stac-item
2023-12-17 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2023-12-17_final.stac-item
2024-01-10 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2024-01-10_final.stac-item
2024-01-20 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2024-01-20_final.stac-item
2024-01-26 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2024-01-26_nrt.stac-item
2024-01-27 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2024-01-27_final.stac-item
2024-02-15 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2024-02-15_final.stac-item
2024-02-22 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2024-02-22_final.stac-item
2024-03-01 11:04:34	ga_s2bm_ard_3-2-1_52JGR_2024-03-01_final.stac-item
2024-03-01 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2024-03-01_final.stac-item
2024-03-10 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2024-03-10_final.stac-item
2024-03-10 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2024-03-10_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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