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
2017-07-06 11:02:11	ga_s2bm_ard_3-2-1_52KGV_2017-07-06_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVA_2017-10-26_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JNQ_2017-12-05_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWB_2018-01-01_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51LWC_2018-01-04_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52JCP_2018-01-22_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LWC_2018-04-04_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUS_2018-05-01_final
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KPU_2018-06-26_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KPC_2018-07-16_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWS_2018-10-08_final
2019-01-12 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2019-01-12_final
2019-01-20 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2019-01-20_final
2019-01-27 11:03:27	ga_s2bm_ard_3-2-1_52KEA_2019-01-27_final
2019-03-21 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2019-03-21_final
2019-05-03 11:24:10	ga_s2bm_ard_3-2-1_51KWQ_2019-05-03_final
2019-05-16 11:32:54	ga_s2bm_ard_3-2-1_51KWV_2019-05-16_final
2019-05-16 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-05-16_final
2019-05-19 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-05-19_final
2019-06-22 11:25:32	ga_s2bm_ard_3-2-1_51JXJ_2019-06-22_final
2019-07-09 11:13:09	ga_s2bm_ard_3-2-1_52KEC_2019-07-09_final
2019-07-15 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-15_final
2019-07-19 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-07-19_final
2019-08-21 11:22:54	ga_s2bm_ard_3-2-1_52KCD_2019-08-21_final
2019-08-28 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2019-08-28_final
2019-09-23 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-09-23_final
2019-10-29 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2019-10-29_final
2019-12-28 11:54:24	ga_s2bm_ard_3-2-1_50KNU_2019-12-28_final
2019-12-31 10:25:30	ga_s2bm_ard_3-2-1_53JQG_2019-12-31_final
2020-01-02 11:00:40	ga_s2bm_ard_3-2-1_52LHM_2020-01-02_final
2020-01-05 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2020-01-05_final
2020-03-13 12:14:02	ga_s2bm_ard_3-2-1_50KKV_2020-03-13_final
2020-04-13 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2020-04-13_final
2020-05-07 11:21:36	ga_s2bm_ard_3-2-1_52LBJ_2020-05-07_final
2020-05-07 11:23:14	ga_s2bm_ard_3-2-1_52KCB_2020-05-07_final
2020-06-11 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2020-06-11_final
2020-07-10 11:05:18	ga_s2bm_ard_3-2-1_52JEP_2020-07-10_final
2020-07-11 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-07-11_final
2020-08-01 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-08-01_final
2020-08-09 11:02:58	ga_s2bm_ard_3-2-1_52KHC_2020-08-09_final
2020-09-24 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-09-24_final
2020-09-27 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2020-09-27_final
2020-10-06 10:26:50	ga_s2bm_ard_3-2-1_53HQB_2020-10-06_final
2020-12-23 11:21:22	ga_s2bm_ard_3-2-1_51LZE_2020-12-23_final
2020-12-27 11:01:26	ga_s2bm_ard_3-2-1_52LHJ_2020-12-27_final
2021-02-04 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-02-04_final
2021-04-14 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2021-04-14_final
2021-04-18 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2021-04-18_final
2021-04-23 10:54:02	ga_s2bm_ard_3-2-1_53JLN_2021-04-23_final
2021-05-24 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-24_final
2021-06-08 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2021-06-08_final.stac-item
2021-06-10 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-06-10_final
2021-06-26 10:34:47	ga_s2bm_ard_3-2-1_53JQK_2021-06-26_final
2021-07-22 10:53:01	ga_s2bm_ard_3-2-1_52KHC_2021-07-22_final
2021-08-06 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2021-08-06_final
2021-08-10 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2021-08-10_final
2021-08-22 10:24:56	ga_s2bm_ard_3-2-1_53JQJ_2021-08-22_final
2021-08-26 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2021-08-26_final
2021-11-18 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2021-11-18_final
2021-12-17 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2021-12-17_final
2021-12-21 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2021-12-21_final
2022-01-01 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2022-01-01_final
2022-01-04 11:13:44	ga_s2bm_ard_3-2-1_52KDV_2022-01-04_final
2022-01-14 11:10:53	ga_s2bm_ard_3-2-1_52LGL_2022-01-14_final
2022-01-14 11:13:32	ga_s2bm_ard_3-2-1_52KCA_2022-01-14_final
2022-03-11 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2022-03-11_final
2022-04-23 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-04-23_final
2022-05-20 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2022-05-20_final
2022-06-14 10:45:54	ga_s2bm_ard_3-2-1_53JMF_2022-06-14_final
2022-07-03 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2022-07-03_final.stac-item
2022-07-18 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final
2022-08-07 10:24:44	ga_s2bm_ard_3-2-1_53JQL_2022-08-07_final
2022-08-14 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2022-08-14_final
2022-08-22 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2022-08-22_final
2022-09-14 11:24:06	ga_s2bm_ard_3-2-1_52KBU_2022-09-14_final.stac-item
2023-01-05 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2023-01-05_final.stac-item
2023-01-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2023-01-08_final.stac-item
2023-01-17 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2023-01-17_final.stac-item
2023-01-29 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2023-01-29_final.stac-item
2023-01-29 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2023-01-29_final.stac-item
2023-01-31 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2023-01-31_final.stac-item
2023-02-04 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2023-02-04_final.stac-item
2023-02-11 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2023-02-11_final.stac-item
2023-03-30 11:13:33	ga_s2bm_ard_3-2-1_52KEA_2023-03-30_final.stac-item
2023-04-21 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-04-21_final.stac-item
2023-04-22 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2023-04-22_final.stac-item
2023-05-18 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-05-18_final.stac-item
2023-05-25 11:32:05	ga_s2bm_ard_3-2-1_51LWC_2023-05-25_final.stac-item
2023-06-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-06-10_final.stac-item
2023-07-03 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-07-03_final.stac-item
2023-07-18 11:13:24	ga_s2bm_ard_3-2-1_52KDB_2023-07-18_final.stac-item
2023-09-28 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2023-09-28_final.stac-item
2023-10-03 11:01:18	ga_s2bm_ard_3-2-1_52LGK_2023-10-03_final.stac-item
2023-12-15 11:11:50	ga_s2bm_ard_3-2-1_52LDH_2023-12-15_final.stac-item
2024-02-05 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-02-05_final.stac-item
2024-02-16 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2024-02-16_final.stac-item
2024-03-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2024-03-12_final.stac-item
2024-03-14 11:12:58	ga_s2bm_ard_3-2-1_52KEC_2024-03-14_final.stac-item
2024-04-10 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2024-04-10_final.stac-item
2024-05-12 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2024-05-12_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