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
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JRT_2017-11-15_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-11-25_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KQV_2017-11-28_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQV_2017-12-08_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HWC_2017-12-09_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50KRD_2017-12-15_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_51JYK_2017-12-16_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KQC_2017-12-18_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51JUN_2018-03-15_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPH_2018-04-14_final
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KQD_2018-08-15_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JZN_2018-10-25_final
2018-11-21 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2018-11-21_final
2018-11-23 11:54:15	ga_s2bm_ard_3-2-1_50KPU_2018-11-23_final
2018-11-27 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2018-11-27_final
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2018-11-29_final
2018-11-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2018-11-29_final
2018-12-04 11:25:15	ga_s2bm_ard_3-2-1_51JYJ_2018-12-04_final
2018-12-06 12:03:47	ga_s2bm_ard_3-2-1_50KMA_2018-12-06_final
2018-12-07 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2018-12-07_final.stac-item
2018-12-11 11:15:18	ga_s2bm_ard_3-2-1_51JYJ_2018-12-11_final
2018-12-20 11:44:20	ga_s2bm_ard_3-2-1_50KQU_2018-12-20_final
2018-12-23 11:55:11	ga_s2bm_ard_3-2-1_50JPQ_2018-12-23_final
2018-12-24 11:26:50	ga_s2bm_ard_3-2-1_51HWC_2018-12-24_final.stac-item
2018-12-29 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-12-29_final
2018-12-29 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-12-29_final
2018-12-29 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-12-29_final
2018-12-29 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-12-29_final
2018-12-31 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2018-12-31_final
2019-01-02 11:54:02	ga_s2bm_ard_3-2-1_50KPV_2019-01-02_final
2019-01-02 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2019-01-02_final
2019-01-05 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-01-05_final
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-01-08_final
2019-01-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-01-08_final
2019-01-16 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-01-16_final
2019-01-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-19_final
2019-01-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-28_final
2019-01-29 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-29_final
2019-01-29 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2019-01-29_final
2019-01-29 11:45:00	ga_s2bm_ard_3-2-1_51JTL_2019-01-29_final
2019-01-30 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2019-01-30_final
2019-10-16 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2019-10-16_final
2019-10-16 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2019-10-16_final
2019-11-05 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2019-11-05_final
2019-11-12 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2019-11-12_final
2019-11-25 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2019-11-25_final
2019-12-25 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2019-12-25_final
2020-03-14 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2020-03-14_final
2020-07-02 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-07-02_final
2020-10-14 11:24:23	ga_s2bm_ard_3-2-1_51JZN_2020-10-14_final
2020-10-20 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2020-10-20_final
2020-10-20 11:43:51	ga_s2bm_ard_3-2-1_50KRA_2020-10-20_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-11-08_final
2020-11-08 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-11-08_final
2020-11-09 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2020-11-09_final
2020-11-09 11:44:41	ga_s2bm_ard_3-2-1_51JTM_2020-11-09_final
2020-11-26 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2020-11-26_final.stac-item
2020-11-30 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2020-11-30_final
2020-12-12 11:53:36	ga_s2bm_ard_3-2-1_50KNB_2020-12-12_final
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final
2020-12-18 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-18_final
2020-12-19 11:44:01	ga_s2bm_ard_3-2-1_50KQV_2020-12-19_final
2020-12-26 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2020-12-26_final
2020-12-29 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2020-12-29_final
2021-03-02 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2021-03-02_final
2021-04-09 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2021-04-09_final
2021-04-18 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2021-04-18_final
2021-06-30 11:53:47	ga_s2bm_ard_3-2-1_50KQA_2021-06-30_final
2021-06-30 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-06-30_final
2021-08-16 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2021-08-16_final
2021-08-19 11:53:55	ga_s2bm_ard_3-2-1_50KQV_2021-08-19_final
2021-10-08 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-10-08_final
2021-11-11 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-11-11_final
2021-11-14 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2021-11-14_final
2021-11-14 11:44:04	ga_s2bm_ard_3-2-1_50KQV_2021-11-14_final
2021-11-15 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2021-11-15_final
2021-11-17 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2021-11-17_final
2021-11-24 11:43:58	ga_s2bm_ard_3-2-1_50KQV_2021-11-24_final
2021-11-28 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2021-11-28_final
2021-12-04 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2021-12-04_final
2021-12-04 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-12-04_final
2021-12-04 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2021-12-04_final
2021-12-18 11:24:49	ga_s2bm_ard_3-2-1_51JXL_2021-12-18_final
2022-02-06 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2022-02-06_final
2022-02-12 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2022-02-12_final
2022-02-16 11:24:59	ga_s2bm_ard_3-2-1_51JYK_2022-02-16_final
2022-03-28 11:24:34	ga_s2bm_ard_3-2-1_51JYM_2022-03-28_final
2022-11-03 11:25:03	ga_s2bm_ard_3-2-1_51JYK_2022-11-03_final.stac-item
2022-11-20 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2022-11-20_final.stac-item
2022-11-23 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2022-11-23_final.stac-item
2022-11-26 11:34:35	ga_s2bm_ard_3-2-1_51JTN_2022-11-26_final.stac-item
2022-12-19 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2022-12-19_final.stac-item
2022-12-20 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2022-12-20_final.stac-item
2023-01-05 11:34:34	ga_s2bm_ard_3-2-1_51JTN_2023-01-05_final.stac-item
2023-01-21 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2023-01-21_final.stac-item
2023-02-17 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2023-02-17_final.stac-item
2023-02-27 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2023-02-27_final.stac-item
2023-03-03 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2023-03-03_final.stac-item
2023-08-16 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2023-08-16_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