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
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGK_2017-08-03_final
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_54HYF_2017-08-04_final
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_54HYC_2017-09-13_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMJ_2017-10-26_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_50HPJ_2017-11-02_final
2017-12-18 10:06:52	ga_s2bm_ard_3-2-1_54HWG_2017-12-18_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51LVC_2018-01-14_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KPB_2018-01-26_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JRM_2018-04-23_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_53HQE_2018-06-09_final
2018-09-07 10:22:40	ga_s2bm_ard_3-2-1_54JWR_2018-09-07_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-09-30_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_51JTH_2018-10-01_final
2018-11-18 11:03:02	ga_s2bm_ard_3-2-1_52KEC_2018-11-18_final
2018-11-19 10:32:59	ga_s2bm_ard_3-2-1_54KTB_2018-11-19_final
2019-02-13 10:51:11	ga_s2bm_ard_3-2-1_53LME_2019-02-13_final
2019-05-02 10:16:32	ga_s2bm_ard_3-2-1_54HWH_2019-05-02_final
2019-07-11 11:53:51	ga_s2bm_ard_3-2-1_50KMB_2019-07-11_final
2019-08-07 10:07:10	ga_s2bm_ard_3-2-1_54HYE_2019-08-07_final
2019-09-16 10:06:46	ga_s2bm_ard_3-2-1_54HVG_2019-09-16_final
2019-09-22 10:26:26	ga_s2bm_ard_3-2-1_54HUH_2019-09-22_final
2019-10-24 11:01:03	ga_s2bm_ard_3-2-1_52LGL_2019-10-24_final
2019-10-28 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2019-10-28_final
2019-11-03 11:06:18	ga_s2bm_ard_3-2-1_52HDK_2019-11-03_final.stac-item
2019-12-01 10:22:40	ga_s2bm_ard_3-2-1_54KVC_2019-12-01_final
2020-01-26 10:41:56	ga_s2bm_ard_3-2-1_53KQA_2020-01-26_final
2020-02-04 11:12:07	ga_s2bm_ard_3-2-1_52KFF_2020-02-04_final
2020-02-10 11:36:01	ga_s2bm_ard_3-2-1_51JUF_2020-02-10_final
2020-02-22 10:31:45	ga_s2bm_ard_3-2-1_54KUG_2020-02-22_final
2020-04-03 10:06:17	ga_s2bm_ard_3-2-1_54HYH_2020-04-03_final
2020-04-11 11:01:28	ga_s2bm_ard_3-2-1_52LGJ_2020-04-11_final
2020-04-25 10:44:11	ga_s2bm_ard_3-2-1_53JPM_2020-04-25_final
2020-05-28 10:52:16	ga_s2bm_ard_3-2-1_53KKA_2020-05-28_final
2020-06-28 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-28_final
2020-07-29 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2020-07-29_final
2020-08-13 10:46:04	ga_s2bm_ard_3-2-1_52JGL_2020-08-13_final
2020-09-01 11:16:09	ga_s2bm_ard_3-2-1_52JBL_2020-09-01_final
2020-11-29 10:07:29	ga_s2bm_ard_3-2-1_54HVD_2020-11-29_final
2021-01-14 10:21:55	ga_s2bm_ard_3-2-1_54KXF_2021-01-14_final
2021-01-18 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2021-01-18_final
2021-02-08 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2021-02-08_final
2021-02-12 10:54:14	ga_s2bm_ard_3-2-1_52JGT_2021-02-12_final
2021-02-18 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2021-02-18_final
2021-02-19 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2021-02-19_final
2021-02-25 11:01:13	ga_s2bm_ard_3-2-1_52LGK_2021-02-25_final
2021-03-13 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2021-03-13_final
2021-05-05 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-05-05_final
2021-05-05 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2021-05-05_final
2021-06-11 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2021-06-11_final
2021-06-22 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-06-22_final
2021-06-23 10:24:09	ga_s2bm_ard_3-2-1_54JWS_2021-06-23_final
2021-06-23 10:24:52	ga_s2bm_ard_3-2-1_53JQK_2021-06-23_final
2021-06-30 10:13:05	ga_s2bm_ard_3-2-1_54KWB_2021-06-30_final
2021-07-14 09:57:18	ga_s2bm_ard_3-2-1_54HXE_2021-07-14_final
2021-09-07 10:40:50	ga_s2bm_ard_3-2-1_53LPF_2021-09-07_final
2021-09-28 10:15:28	ga_s2bm_ard_3-2-1_54JVM_2021-09-28_final
2021-10-25 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-25_final
2021-11-19 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2021-11-19_final
2022-01-19 10:26:49	ga_s2bm_ard_3-2-1_53HNB_2022-01-19_final
2022-02-14 10:42:37	ga_s2bm_ard_3-2-1_53KMU_2022-02-14_final
2022-05-05 10:45:50	ga_s2bm_ard_3-2-1_53JLF_2022-05-05_final
2022-05-18 10:54:58	ga_s2bm_ard_3-2-1_52JGQ_2022-05-18_final
2022-05-31 11:01:06	ga_s2bm_ard_3-2-1_52LHL_2022-05-31_final
2022-06-05 10:16:43	ga_s2bm_ard_3-2-1_54HVG_2022-06-05_final
2022-06-09 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2022-06-09_final
2022-06-22 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2022-06-22_final
2022-07-16 09:48:13	ga_s2bm_ard_3-2-1_54GYA_2022-07-16_final
2022-07-22 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2022-07-22_final
2022-08-02 11:15:52	ga_s2bm_ard_3-2-1_52JCM_2022-08-02_final
2022-10-01 11:12:28	ga_s2bm_ard_3-2-1_52KFE_2022-10-01_final.stac-item
2022-10-12 10:45:21	ga_s2bm_ard_3-2-1_53JMH_2022-10-12_final.stac-item
2022-10-18 11:04:42	ga_s2bm_ard_3-2-1_52JFR_2022-10-18_final.stac-item
2022-11-17 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2022-11-17_final.stac-item
2022-11-21 10:43:40	ga_s2bm_ard_3-2-1_53KMQ_2022-11-21_final.stac-item
2022-12-17 11:02:50	ga_s2bm_ard_3-2-1_52KED_2022-12-17_final.stac-item
2023-01-05 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-01-05_final.stac-item
2023-01-18 10:07:05	ga_s2bm_ard_3-2-1_54HXE_2023-01-18_final.stac-item
2023-02-06 10:33:29	ga_s2bm_ard_3-2-1_54KTV_2023-02-06_final.stac-item
2023-02-15 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-02-15_final.stac-item
2023-02-20 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2023-02-20_nrt.stac-item
2023-02-28 11:12:21	ga_s2bm_ard_3-2-1_52KDF_2023-02-28_final.stac-item
2023-03-08 10:36:21	ga_s2bm_ard_3-2-1_53HPD_2023-03-08_final.stac-item
2023-03-27 11:06:06	ga_s2bm_ard_3-2-1_52JDL_2023-03-27_final.stac-item
2023-03-31 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2023-03-31_final.stac-item
2023-06-19 10:43:50	ga_s2bm_ard_3-2-1_53KLQ_2023-06-19_final.stac-item
2023-06-21 11:21:15	ga_s2bm_ard_3-2-1_51LZF_2023-06-21_nrt.stac-item
2023-06-21 11:22:52	ga_s2bm_ard_3-2-1_52KCD_2023-06-21_final.stac-item
2023-06-23 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-23_final.stac-item
2023-07-06 10:36:27	ga_s2bm_ard_3-2-1_53HND_2023-07-06_final.stac-item
2023-07-30 10:14:43	ga_s2bm_ard_3-2-1_54JWQ_2023-07-30_final.stac-item
2023-08-03 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-08-03_final.stac-item
2023-09-27 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2023-09-27_final.stac-item
2023-10-05 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2023-10-05_final.stac-item
2023-11-14 10:07:08	ga_s2bm_ard_3-2-1_54HXE_2023-11-14_final.stac-item
2023-11-29 10:54:23	ga_s2bm_ard_3-2-1_53JKM_2023-11-29_final.stac-item
2024-01-10 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2024-01-10_final.stac-item
2024-01-24 11:11:58	ga_s2bm_ard_3-2-1_52KFG_2024-01-24_final.stac-item
2024-03-18 10:51:10	ga_s2bm_ard_3-2-1_53LME_2024-03-18_final.stac-item
2024-03-20 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2024-03-20_final.stac-item
2024-04-09 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-04-09_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