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
2017-09-02 10:26:31	ga_s2bm_ard_3-2-1_53HQB_2017-09-02_final
2017-10-04 11:02:43	ga_s2bm_ard_3-2-1_52JDL_2017-10-04_final
2017-10-12 10:26:23	ga_s2bm_ard_3-2-1_53HNC_2017-10-12_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51JUN_2017-11-25_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JRS_2017-12-05_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_52LBK_2018-02-10_final
2018-02-19 10:23:20	ga_s2bm_ard_3-2-1_53HPB_2018-02-19_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KXT_2018-05-08_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49KHR_2018-08-01_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HNJ_2018-10-01_final
2018-11-11 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2018-11-11_final
2019-01-13 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2019-01-13_final
2019-01-23 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2019-01-23_final
2019-02-08 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2019-02-08_final
2019-03-06 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2019-03-06_final
2019-04-13 11:23:49	ga_s2bm_ard_3-2-1_52KBV_2019-04-13_final
2019-04-13 11:24:56	ga_s2bm_ard_3-2-1_51JYL_2019-04-13_final
2019-05-18 10:36:59	ga_s2bm_ard_3-2-1_53HNB_2019-05-18_final
2019-05-20 11:13:20	ga_s2bm_ard_3-2-1_52KCC_2019-05-20_final
2019-05-27 11:06:12	ga_s2bm_ard_3-2-1_52JDL_2019-05-27_final
2019-06-11 11:56:07	ga_s2bm_ard_3-2-1_50JKN_2019-06-11_final
2019-06-18 11:43:04	ga_s2bm_ard_3-2-1_51KVU_2019-06-18_final
2019-08-14 11:36:02	ga_s2bm_ard_3-2-1_51JVG_2019-08-14_final
2019-09-13 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2019-09-13_final
2019-11-12 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2019-11-12_final
2019-12-13 11:03:36	ga_s2bm_ard_3-2-1_52KGV_2019-12-13_final
2020-01-21 11:32:44	ga_s2bm_ard_3-2-1_51KYU_2020-01-21_final
2020-01-23 12:15:13	ga_s2bm_ard_3-2-1_49JGK_2020-01-23_final
2020-02-17 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2020-02-17_final
2020-04-10 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2020-04-10_final
2020-04-27 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2020-04-27_final
2020-05-04 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2020-05-04_final
2020-06-28 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-06-28_final
2020-06-29 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-06-29_final
2020-07-16 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2020-07-16_final
2020-08-15 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2020-08-15_final
2020-11-07 11:02:28	ga_s2bm_ard_3-2-1_52KHE_2020-11-07_final
2020-12-23 11:21:47	ga_s2bm_ard_3-2-1_52LCH_2020-12-23_final
2021-01-02 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-01-02_final
2021-01-25 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-01-25_final
2021-02-13 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2021-02-13_final
2021-03-13 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-03-13_final
2021-03-23 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2021-03-23_final
2021-05-29 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2021-05-29_final
2021-07-14 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2021-07-14_final
2021-07-27 11:44:47	ga_s2bm_ard_3-2-1_51JTM_2021-07-27_final
2021-10-20 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2021-10-20_final
2021-11-04 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2021-11-04_final
2021-11-21 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2021-11-21_final
2021-11-22 11:04:54	ga_s2bm_ard_3-2-1_52JFQ_2021-11-22_final
2021-11-30 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2021-11-30_final
2022-01-03 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-03_final
2022-01-25 10:45:41	ga_s2bm_ard_3-2-1_52JGM_2022-01-25_final
2022-01-27 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2022-01-27_final
2022-01-28 10:54:20	ga_s2bm_ard_3-2-1_52JHS_2022-01-28_final
2022-01-30 11:33:24	ga_s2bm_ard_3-2-1_51KVS_2022-01-30_final
2022-03-01 11:31:32	ga_s2bm_ard_3-2-1_51LZD_2022-03-01_final
2022-03-27 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2022-03-27_final
2022-05-17 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2022-05-17_final
2022-05-20 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-05-20_final
2022-06-06 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2022-06-06_final
2022-06-22 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-06-22_final
2022-08-01 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2022-08-01_final
2022-08-09 11:06:03	ga_s2bm_ard_3-2-1_52JEL_2022-08-09_final
2022-08-21 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-08-21_final
2022-08-23 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2022-08-23_final
2022-09-09 10:36:09	ga_s2bm_ard_3-2-1_53HNE_2022-09-09_final.stac-item
2022-09-16 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2022-09-16_final.stac-item
2022-10-01 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2022-10-01_final.stac-item
2022-10-17 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2022-10-17_final.stac-item
2022-11-06 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2022-11-06_final.stac-item
2022-11-28 10:36:27	ga_s2bm_ard_3-2-1_53HLD_2022-11-28_final.stac-item
2023-01-21 13:31:37	ga_s2bm_ard_3-2-1_46LHM_2023-01-21_interim.stac-item
2023-02-07 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-02-07_final.stac-item
2023-02-24 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2023-02-24_final.stac-item
2023-03-25 10:26:43	ga_s2bm_ard_3-2-1_53HNC_2023-03-25_final.stac-item
2023-05-25 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-05-25_final.stac-item
2023-06-11 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-06-11_final.stac-item
2023-06-17 11:43:56	ga_s2bm_ard_3-2-1_50KQA_2023-06-17_final.stac-item
2023-06-21 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-06-21_final.stac-item
2023-06-21 11:26:48	ga_s2bm_ard_3-2-1_51HVD_2023-06-21_final.stac-item
2023-06-27 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2023-06-27_final.stac-item
2023-06-27 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-06-27_final.stac-item
2023-06-28 11:12:28	ga_s2bm_ard_3-2-1_52KCF_2023-06-28_final.stac-item
2023-09-05 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-09-05_final.stac-item
2023-09-21 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-21_final.stac-item
2023-09-22 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-09-22_final.stac-item
2023-11-28 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2023-11-28_final.stac-item
2023-12-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2023-12-14_final.stac-item
2024-01-19 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2024-01-19_final.stac-item
2024-01-20 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2024-01-20_final.stac-item
2024-01-21 11:03:27	ga_s2bm_ard_3-2-1_52KGA_2024-01-21_final.stac-item
2024-01-23 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2024-01-23_final.stac-item
2024-01-23 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2024-01-23_final.stac-item
2024-01-30 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2024-01-30_final.stac-item
2024-02-02 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2024-02-02_final.stac-item
2024-03-03 11:44:42	ga_s2bm_ard_3-2-1_50JPS_2024-03-03_final.stac-item
2024-03-04 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2024-03-04_final.stac-item
2024-03-07 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2024-03-07_final.stac-item
2024-03-24 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2024-03-24_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

All years