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
2017-07-09 11:12:15	ga_s2bm_ard_3-2-1_52KDD_2017-07-09_final
2017-08-23 10:23:03	ga_s2bm_ard_3-2-1_53HNB_2017-08-23_final
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53HLD_2017-11-04_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53KPT_2017-11-27_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNL_2017-11-28_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KXU_2017-12-02_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50KPU_2017-12-05_final
2018-01-09 10:47:16	ga_s2bm_ard_3-2-1_53KNA_2018-01-09_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWR_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JCN_2018-02-01_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KGU_2018-02-01_final
2018-02-21 10:57:08	ga_s2bm_ard_3-2-1_53LKG_2018-02-21_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMH_2018-05-14_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KKU_2018-05-19_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51JWN_2018-06-10_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51HUE_2018-07-07_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52JGL_2018-07-08_final
2018-11-29 10:36:42	ga_s2bm_ard_3-2-1_53HPB_2018-11-29_final
2018-12-24 11:23:31	ga_s2bm_ard_3-2-1_52KBA_2018-12-24_final
2019-03-13 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2019-03-13_final
2019-03-15 10:54:13	ga_s2bm_ard_3-2-1_52JGT_2019-03-15_final
2019-03-18 11:03:33	ga_s2bm_ard_3-2-1_52KEA_2019-03-18_final
2019-04-02 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2019-04-02_final
2019-05-17 11:01:01	ga_s2bm_ard_3-2-1_53LLF_2019-05-17_final
2019-06-08 11:44:53	ga_s2bm_ard_3-2-1_51JTM_2019-06-08_final
2019-06-21 11:55:54	ga_s2bm_ard_3-2-1_50JKP_2019-06-21_final
2019-08-13 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2019-08-13_final
2019-11-10 10:55:53	ga_s2bm_ard_3-2-1_53JKF_2019-11-10_final
2020-01-01 11:31:10	ga_s2bm_ard_3-2-1_52LBK_2020-01-01_final
2020-02-11 11:01:27	ga_s2bm_ard_3-2-1_52LGJ_2020-02-11_final
2020-04-07 11:22:49	ga_s2bm_ard_3-2-1_51KZU_2020-04-07_final
2020-04-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2020-04-13_final
2020-04-20 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-04-20_final
2020-05-20 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2020-05-20_final
2020-07-06 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2020-07-06_final
2020-07-13 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-07-13_final
2020-07-18 10:26:08	ga_s2bm_ard_3-2-1_53HPE_2020-07-18_final
2020-07-23 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2020-07-23_final
2020-08-18 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2020-08-18_final
2020-09-17 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-09-17_final
2020-10-16 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-16_final
2020-10-30 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-10-30_final
2020-12-03 11:21:56	ga_s2bm_ard_3-2-1_51LZC_2020-12-03_final
2020-12-21 10:45:07	ga_s2bm_ard_3-2-1_53JLJ_2020-12-21_final
2020-12-24 10:53:43	ga_s2bm_ard_3-2-1_52KGV_2020-12-24_final
2021-01-02 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2021-01-02_final
2021-02-01 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2021-02-01_final
2021-02-04 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2021-02-04_final
2021-05-12 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2021-05-12_final
2021-06-04 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-06-04_final
2021-06-11 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-06-11_final
2021-06-22 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2021-06-22_final
2021-06-22 10:55:32	ga_s2bm_ard_3-2-1_52JFN_2021-06-22_final
2021-10-05 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2021-10-05_final
2021-10-30 10:55:47	ga_s2bm_ard_3-2-1_52JFM_2021-10-30_final
2021-12-03 10:35:36	ga_s2bm_ard_3-2-1_53JMG_2021-12-03_final
2022-01-18 10:55:37	ga_s2bm_ard_3-2-1_52JGM_2022-01-18_final
2022-03-01 11:32:03	ga_s2bm_ard_3-2-1_51KXB_2022-03-01_final
2022-04-02 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-04-02_final
2022-05-11 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2022-05-11_final
2022-05-20 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2022-05-20_final
2022-05-29 10:25:05	ga_s2bm_ard_3-2-1_53JQJ_2022-05-29_final
2022-05-29 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2022-05-29_final
2022-06-01 10:34:31	ga_s2bm_ard_3-2-1_53JPL_2022-06-01_final
2022-06-01 10:35:30	ga_s2bm_ard_3-2-1_53JQG_2022-06-01_final
2022-06-08 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2022-06-08_final
2022-06-27 10:52:34	ga_s2bm_ard_3-2-1_53KKV_2022-06-27_final
2022-08-18 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2022-08-18_final
2022-09-09 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2022-09-09_final.stac-item
2022-10-15 10:52:30	ga_s2bm_ard_3-2-1_52KHE_2022-10-15_final.stac-item
2022-11-22 13:31:39	ga_s2bm_ard_3-2-1_46LHM_2022-11-22_interim.stac-item
2022-11-23 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2022-11-23_final.stac-item
2022-11-29 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2022-11-29_final.stac-item
2022-12-31 10:42:02	ga_s2bm_ard_3-2-1_53KQA_2022-12-31_final.stac-item
2023-01-02 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2023-01-02_final.stac-item
2023-01-06 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2023-01-06_final.stac-item
2023-01-10 10:45:20	ga_s2bm_ard_3-2-1_53JLH_2023-01-10_final.stac-item
2023-01-16 11:00:40	ga_s2bm_ard_3-2-1_53LKG_2023-01-16_final.stac-item
2023-01-31 13:31:30	ga_s2bm_ard_3-2-1_47LKH_2023-01-31_interim.stac-item
2023-02-16 10:32:09	ga_s2bm_ard_3-2-1_53KQA_2023-02-16_final.stac-item
2023-02-24 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2023-02-24_final.stac-item
2023-02-28 11:10:58	ga_s2bm_ard_3-2-1_52LGL_2023-02-28_final.stac-item
2023-03-28 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-03-28_final.stac-item
2023-06-23 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-06-23_final.stac-item
2023-06-30 10:17:10	ga_s2bm_ard_3-2-1_53HQA_2023-06-30_final.stac-item
2023-07-21 11:23:55	ga_s2bm_ard_3-2-1_52KBV_2023-07-21_final.stac-item
2023-07-30 11:57:18	ga_s2bm_ard_3-2-1_50HKH_2023-07-30_nrt.stac-item
2023-09-10 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2023-09-10_final.stac-item
2023-09-16 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2023-09-16_final.stac-item
2023-09-29 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2023-09-29_final.stac-item
2023-11-06 10:43:51	ga_s2bm_ard_3-2-1_53KPP_2023-11-06_final.stac-item
2023-11-21 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2023-11-21_final.stac-item
2023-11-28 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2023-11-28_final.stac-item
2024-01-07 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2024-01-07_final.stac-item
2024-02-01 12:14:28	ga_s2bm_ard_3-2-1_49KFP_2024-02-01_nrt.stac-item
2024-02-07 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2024-02-07_final.stac-item
2024-03-14 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2024-03-14_final.stac-item
2024-03-24 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2024-03-24_final.stac-item
2024-03-25 10:42:46	ga_s2bm_ard_3-2-1_53KQT_2024-03-25_final.stac-item
2024-03-28 10:54:33	ga_s2bm_ard_3-2-1_52JFS_2024-03-28_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