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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KWT_2017-11-12_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVB_2017-11-22_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXU_2017-12-12_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-02_final.stac-item
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_53JPM_2018-02-25_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNH_2018-04-24_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52LFN_2018-04-25_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXQ_2018-05-11_final
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KEA_2018-06-11_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KBC_2018-07-04_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWS_2018-07-10_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KYU_2018-08-16_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KTU_2018-09-01_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWR_2018-10-08_final
2018-11-27 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2018-11-27_final
2019-01-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-01-16_final
2019-01-27 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2019-01-27_final
2019-02-02 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2019-02-02_final
2019-04-05 10:26:54	ga_s2bm_ard_3-2-1_53HPB_2019-04-05_final
2019-04-06 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2019-04-06_final
2019-04-16 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2019-04-16_final
2019-04-16 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2019-04-16_final
2019-05-08 10:34:44	ga_s2bm_ard_3-2-1_53JPL_2019-05-08_final
2019-05-10 11:13:19	ga_s2bm_ard_3-2-1_52KCC_2019-05-10_final
2019-06-04 10:26:40	ga_s2bm_ard_3-2-1_53HQC_2019-06-04_final
2019-06-22 11:23:14	ga_s2bm_ard_3-2-1_52KBC_2019-06-22_final
2019-06-27 10:34:44	ga_s2bm_ard_3-2-1_53JPL_2019-06-27_final
2019-07-06 11:03:07	ga_s2bm_ard_3-2-1_52KGC_2019-07-06_final
2019-08-08 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2019-08-08_final
2019-09-03 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2019-09-03_final
2019-10-30 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2019-10-30_final
2019-12-02 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2019-12-02_final
2020-01-14 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2020-01-14_final
2020-02-27 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2020-02-27_final
2020-03-11 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2020-03-11_final
2020-04-12 10:34:32	ga_s2bm_ard_3-2-1_53JPL_2020-04-12_final
2020-04-20 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-04-20_final
2020-06-14 10:45:57	ga_s2bm_ard_3-2-1_53JLF_2020-06-14_final
2020-07-06 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-07-06_final
2020-07-16 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2020-07-16_final
2020-07-30 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2020-07-30_final
2020-10-17 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2020-10-17_final
2020-10-24 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-10-24_final
2020-12-28 10:34:19	ga_s2bm_ard_3-2-1_53JPM_2020-12-28_final
2021-01-07 10:34:35	ga_s2bm_ard_3-2-1_53JPL_2021-01-07_final
2021-01-15 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2021-01-15_final
2021-03-01 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2021-03-01_final
2021-03-26 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-03-26_final
2021-04-16 11:03:30	ga_s2bm_ard_3-2-1_52KEA_2021-04-16_final
2021-04-17 10:34:32	ga_s2bm_ard_3-2-1_53JPL_2021-04-17_final
2021-05-15 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-05-15_final
2021-05-16 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2021-05-16_final
2021-06-01 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-06-01_final.stac-item
2021-06-19 10:45:59	ga_s2bm_ard_3-2-1_53JKF_2021-06-19_final
2021-07-07 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2021-07-07_final
2021-07-14 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2021-07-14_final
2021-08-05 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-08-05_final.stac-item
2021-10-02 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2021-10-02_final
2021-10-19 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2021-10-19_final
2021-10-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2021-10-25_final
2021-11-11 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-11-11_final
2021-11-21 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2021-11-21_final
2021-12-31 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-31_final
2021-12-31 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-12-31_final
2022-01-13 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2022-01-13_final
2022-03-08 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2022-03-08_final
2022-04-20 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2022-04-20_final
2022-05-03 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-05-03_final
2022-05-05 10:45:53	ga_s2bm_ard_3-2-1_53JKF_2022-05-05_final
2022-05-15 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2022-05-15_final
2022-06-03 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2022-06-03_final
2022-08-18 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2022-08-18_final
2022-11-24 10:54:00	ga_s2bm_ard_3-2-1_52KGU_2022-11-24_final.stac-item
2022-12-26 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-12-26_final.stac-item
2023-01-26 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2023-01-26_final.stac-item
2023-02-06 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2023-02-06_final.stac-item
2023-02-24 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2023-02-24_final.stac-item
2023-04-22 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-04-22_final.stac-item
2023-05-17 10:36:44	ga_s2bm_ard_3-2-1_53HMC_2023-05-17_final.stac-item
2023-06-24 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-06-24_final.stac-item
2023-07-17 11:42:04	ga_s2bm_ard_3-2-1_51LVC_2023-07-17_final.stac-item
2023-08-04 11:02:16	ga_s2bm_ard_3-2-1_52KHF_2023-08-04_final.stac-item
2023-08-16 11:43:20	ga_s2bm_ard_3-2-1_51KVT_2023-08-16_final.stac-item
2023-08-20 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-08-20_final.stac-item
2023-09-05 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-09-05_final.stac-item
2023-09-12 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2023-09-12_final.stac-item
2023-09-15 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-09-15_final.stac-item
2023-09-22 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2023-09-22_final.stac-item
2023-11-11 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2023-11-11_final.stac-item
2023-12-11 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2023-12-11_final.stac-item
2023-12-31 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-12-31_final.stac-item
2023-12-31 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-12-31_final.stac-item
2024-01-17 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2024-01-17_final.stac-item
2024-03-04 11:13:15	ga_s2bm_ard_3-2-1_52KDB_2024-03-04_final.stac-item
2024-03-08 10:54:20	ga_s2bm_ard_3-2-1_52JHS_2024-03-08_final.stac-item
2024-03-09 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2024-03-09_final.stac-item
2024-03-17 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2024-03-17_final.stac-item
2024-03-24 11:11:02	ga_s2bm_ard_3-2-1_52LFL_2024-03-24_final.stac-item
2024-04-13 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2024-04-13_final.stac-item
2024-04-23 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2024-04-23_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