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
2017-10-15 10:31:57	ga_s2bm_ard_3-2-1_53HPC_2017-10-15_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52KBV_2017-11-09_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-11-11_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JXN_2017-12-12_final
2018-03-04 10:35:27	ga_s2bm_ard_3-2-1_53JNF_2018-03-04_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUV_2018-03-05_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52KFU_2018-06-01_final
2018-06-28 10:54:55	ga_s2bm_ard_3-2-1_52JGN_2018-06-28_final
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JHT_2018-08-07_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HQE_2018-08-31_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51HUC_2018-09-15_final
2018-11-24 11:23:31	ga_s2bm_ard_3-2-1_52KBA_2018-11-24_final
2018-12-14 11:23:36	ga_s2bm_ard_3-2-1_51KXR_2018-12-14_final
2019-01-23 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-01-23_final
2019-03-21 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2019-03-21_final
2019-03-31 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2019-03-31_final
2019-05-20 11:13:38	ga_s2bm_ard_3-2-1_52KEA_2019-05-20_final
2019-06-09 11:13:33	ga_s2bm_ard_3-2-1_52KBB_2019-06-09_final
2019-07-19 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-07-19_final
2019-08-11 11:25:10	ga_s2bm_ard_3-2-1_51JVL_2019-08-11_final
2019-08-12 10:55:20	ga_s2bm_ard_3-2-1_52JGP_2019-08-12_final
2019-08-15 11:02:50	ga_s2bm_ard_3-2-1_52KGD_2019-08-15_final
2019-09-07 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2019-09-07_final
2019-09-12 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2019-09-12_final
2019-11-16 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2019-11-16_final
2019-12-11 10:26:45	ga_s2bm_ard_3-2-1_53HPB_2019-12-11_final
2019-12-23 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2019-12-23_final
2020-02-19 10:26:14	ga_s2bm_ard_3-2-1_53HQD_2020-02-19_final
2020-04-14 11:13:15	ga_s2bm_ard_3-2-1_52KDB_2020-04-14_final
2020-05-27 11:21:43	ga_s2bm_ard_3-2-1_52LCH_2020-05-27_final
2020-06-13 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2020-06-13_final
2020-07-03 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-07-03_final
2020-09-07 11:31:42	ga_s2bm_ard_3-2-1_51LYD_2020-09-07_final
2020-09-11 11:13:16	ga_s2bm_ard_3-2-1_52KBC_2020-09-11_final
2020-10-11 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2020-10-11_final
2020-11-06 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-11-06_final
2020-12-09 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2020-12-09_final
2020-12-09 11:44:38	ga_s2bm_ard_3-2-1_51JUM_2020-12-09_final
2021-01-18 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2021-01-18_final
2021-02-01 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-02-01_final
2021-02-15 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2021-02-15_final
2021-02-21 11:21:30	ga_s2bm_ard_3-2-1_52LDJ_2021-02-21_final
2021-04-26 11:00:43	ga_s2bm_ard_3-2-1_52LGM_2021-04-26_final
2021-05-02 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2021-05-02_final
2021-06-06 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2021-06-06_final
2021-06-08 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2021-06-08_final
2021-06-10 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2021-06-10_final
2021-06-14 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-06-14_final
2021-07-13 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2021-07-13_final
2021-07-23 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2021-07-23_final
2021-09-11 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-09-11_final
2021-10-07 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2021-10-07_final
2021-10-13 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2021-10-13_final
2021-11-03 10:34:20	ga_s2bm_ard_3-2-1_53JPM_2021-11-03_final
2021-11-12 11:05:48	ga_s2bm_ard_3-2-1_52JDM_2021-11-12_final
2021-11-27 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2021-11-27_final
2021-12-18 11:21:41	ga_s2bm_ard_3-2-1_52LDH_2021-12-18_final
2021-12-31 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2021-12-31_final
2022-02-10 11:06:31	ga_s2bm_ard_3-2-1_51HYD_2022-02-10_final
2022-02-16 11:24:59	ga_s2bm_ard_3-2-1_51JYK_2022-02-16_final
2022-02-18 12:04:00	ga_s2bm_ard_3-2-1_50KMV_2022-02-18_final
2022-04-09 10:24:54	ga_s2bm_ard_3-2-1_53JQJ_2022-04-09_final
2022-04-14 11:10:21	ga_s2bm_ard_3-2-1_52LHN_2022-04-14_final
2022-04-14 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2022-04-14_final
2022-05-17 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2022-05-17_final
2022-05-19 10:26:36	ga_s2bm_ard_3-2-1_53HPC_2022-05-19_final.stac-item
2022-07-06 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2022-07-06_final
2022-08-08 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2022-08-08_final
2022-10-14 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2022-10-14_final.stac-item
2022-11-03 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2022-11-03_final.stac-item
2022-11-20 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2022-11-20_final.stac-item
2022-12-19 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-12-19_final.stac-item
2022-12-29 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-12-29_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-02-07 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2023-02-07_final.stac-item
2023-02-16 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2023-02-16_final.stac-item
2023-04-02 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2023-04-02_final.stac-item
2023-04-11 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-04-11_final.stac-item
2023-04-25 11:31:31	ga_s2bm_ard_3-2-1_52LBJ_2023-04-25_final.stac-item
2023-04-27 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2023-04-27_final.stac-item
2023-06-01 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-06-01_final.stac-item
2023-06-02 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2023-06-02_final.stac-item
2023-06-02 10:54:51	ga_s2bm_ard_3-2-1_52JFR_2023-06-02_final.stac-item
2023-06-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-06-10_final.stac-item
2023-06-18 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-06-18_final.stac-item
2023-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-24_final.stac-item
2023-08-12 10:26:09	ga_s2bm_ard_3-2-1_53HQE_2023-08-12_final.stac-item
2023-08-24 11:04:47	ga_s2bm_ard_3-2-1_52JFR_2023-08-24_final.stac-item
2023-09-21 10:26:57	ga_s2bm_ard_3-2-1_53HNB_2023-09-21_final.stac-item
2023-10-17 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2023-10-17_final.stac-item
2023-11-04 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2023-11-04_final.stac-item
2023-12-08 11:26:02	ga_s2bm_ard_3-2-1_51JUG_2023-12-08_final.stac-item
2023-12-24 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-24_final.stac-item
2023-12-28 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2023-12-28_final.stac-item
2024-01-17 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-01-17_final.stac-item
2024-02-06 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2024-02-06_final.stac-item
2024-02-07 10:55:11	ga_s2bm_ard_3-2-1_53JKJ_2024-02-07_final.stac-item
2024-02-10 11:02:30	ga_s2bm_ard_3-2-1_52KGE_2024-02-10_final.stac-item
2024-04-19 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2024-04-19_final.stac-item
2024-05-17 10:55:37	ga_s2bm_ard_3-2-1_53JKG_2024-05-17_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