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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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KEV_2017-07-19_final
2017-07-29 11:10:36	ga_s2bm_ard_3-2-1_52LFL_2017-07-29_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52KBC_2017-11-09_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JXN_2017-12-12_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_52KBB_2018-02-07_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52KHD_2018-03-10_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KHC_2018-05-12_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNH_2018-07-03_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KZU_2018-07-07_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52KEA_2018-07-14_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KDA_2018-07-24_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53HMD_2018-09-03_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGM_2018-09-20_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2018-10-27_final
2019-01-17 11:04:02	ga_s2bm_ard_3-2-1_52KEU_2019-01-17_final
2019-01-20 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2019-01-20_final
2019-02-08 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-02-08_final
2019-02-10 10:46:21	ga_s2bm_ard_3-2-1_53HMD_2019-02-10_final
2019-03-27 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-03-27_final.stac-item
2019-04-30 11:14:02	ga_s2bm_ard_3-2-1_52KBV_2019-04-30_final
2019-06-02 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-06-02_final
2019-07-05 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2019-07-05_final
2019-07-12 11:22:35	ga_s2bm_ard_3-2-1_51KYA_2019-07-12_final
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-08-23_final
2019-08-24 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2019-08-24_final
2019-09-07 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2019-09-07_final
2019-09-20 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2019-09-20_final
2019-09-22 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2019-09-22_final
2019-10-13 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2019-10-13_final
2019-11-06 11:12:06	ga_s2bm_ard_3-2-1_52KDG_2019-11-06_final
2019-12-06 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2019-12-06_final
2020-01-11 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2020-01-11_final
2020-01-11 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2020-01-11_final
2020-01-12 11:02:49	ga_s2bm_ard_3-2-1_52KHC_2020-01-12_final
2020-01-18 11:23:29	ga_s2bm_ard_3-2-1_52KBA_2020-01-18_final
2020-02-03 11:42:39	ga_s2bm_ard_3-2-1_51KUV_2020-02-03_final
2020-03-12 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2020-03-12_final
2020-03-14 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-14_final
2020-03-25 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2020-03-25_final
2020-04-01 11:04:40	ga_s2bm_ard_3-2-1_52JFR_2020-04-01_final
2020-04-04 11:10:40	ga_s2bm_ard_3-2-1_52LGM_2020-04-04_final
2020-04-21 11:03:11	ga_s2bm_ard_3-2-1_52KFB_2020-04-21_final
2020-05-04 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2020-05-04_final
2020-05-27 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2020-05-27_final
2020-05-31 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2020-05-31_final
2020-06-19 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-19_final
2020-06-22 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-06-22_final
2020-08-02 11:14:23	ga_s2bm_ard_3-2-1_52JCT_2020-08-02_final
2020-08-28 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2020-08-28_final.stac-item
2020-09-20 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-09-20_final
2020-11-24 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2020-11-24_final
2020-12-27 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2020-12-27_final
2021-01-16 11:03:05	ga_s2bm_ard_3-2-1_52KEC_2021-01-16_final
2021-01-29 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2021-01-29_final
2021-02-01 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-02-01_final
2021-02-10 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-02-10_final.stac-item
2021-02-14 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2021-02-14_final
2021-02-17 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2021-02-17_final
2021-03-10 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2021-03-10_final
2021-03-30 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2021-03-30_final
2021-06-01 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2021-06-01_final
2021-06-21 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2021-06-21_final
2021-08-09 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-08-09_final
2021-08-19 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-08-19_final
2021-09-11 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-09-11_final
2022-01-04 11:10:25	ga_s2bm_ard_3-2-1_52LGN_2022-01-04_final
2022-01-23 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-01-23_final
2022-03-14 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2022-03-14_final
2022-04-14 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2022-04-14_final
2022-07-03 11:16:46	ga_s2bm_ard_3-2-1_51HXD_2022-07-03_final
2022-08-12 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2022-08-12_final
2022-08-17 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2022-08-17_final
2022-10-04 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2022-10-04_final.stac-item
2022-10-27 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2022-10-27_final.stac-item
2022-11-15 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2022-11-15_final.stac-item
2022-11-19 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2022-11-19_final.stac-item
2022-12-10 11:14:02	ga_s2bm_ard_3-2-1_52KCU_2022-12-10_final.stac-item
2022-12-26 11:32:54	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2022-12-26 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2022-12-26_final.stac-item
2023-01-01 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2023-01-01_final.stac-item
2023-01-18 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-18_final.stac-item
2023-01-29 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2023-01-29_final.stac-item
2023-02-04 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2023-02-04_final.stac-item
2023-02-06 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-02-06_final.stac-item
2023-02-24 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-02-24_final.stac-item
2023-06-11 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2023-06-11_final.stac-item
2023-06-26 10:36:33	ga_s2bm_ard_3-2-1_53HLD_2023-06-26_final.stac-item
2023-06-28 11:14:11	ga_s2bm_ard_3-2-1_52KCU_2023-06-28_final.stac-item
2023-07-04 11:35:46	ga_s2bm_ard_3-2-1_51JVH_2023-07-04_final.stac-item
2023-07-24 11:32:50	ga_s2bm_ard_3-2-1_51KWV_2023-07-24_final.stac-item
2023-08-04 11:03:46	ga_s2bm_ard_3-2-1_52KGV_2023-08-04_final.stac-item
2023-09-19 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2023-09-19_final.stac-item
2023-12-08 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2023-12-08_final.stac-item
2023-12-15 11:12:19	ga_s2bm_ard_3-2-1_52KDF_2023-12-15_final.stac-item
2024-01-09 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2024-01-09_final.stac-item
2024-01-14 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2024-01-14_final.stac-item
2024-01-24 11:12:49	ga_s2bm_ard_3-2-1_52KDD_2024-01-24_final.stac-item
2024-01-30 11:34:17	ga_s2bm_ard_3-2-1_51JWN_2024-01-30_final.stac-item
2024-02-29 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2024-02-29_final.stac-item
2024-03-20 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2024-03-20_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