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
2017-08-23 10:23:03	ga_s2bm_ard_3-2-1_53HNC_2017-08-23_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51KXU_2017-10-20_final
2017-11-16 11:06:59	ga_s2bm_ard_3-2-1_52LHM_2017-11-16_final
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52JGL_2017-11-30_final
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_53HME_2017-12-07_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JYJ_2017-12-09_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KVA_2018-01-11_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52KDE_2018-01-15_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KZT_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JUM_2018-01-31_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52LGM_2018-02-11_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVK_2018-02-20_final
2018-03-16 11:07:05	ga_s2bm_ard_3-2-1_52LHN_2018-03-16_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JUH_2018-04-01_final.stac-item
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53HNC_2018-04-23_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HPJ_2018-05-14_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KXP_2018-05-31_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2018-06-09_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBV_2018-06-17_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JNL_2018-07-26_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HPK_2018-08-29_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HTE_2018-08-29_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50JPL_2018-09-01_final
2018-12-17 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2018-12-17_final
2018-12-21 11:10:53	ga_s2bm_ard_3-2-1_52LGL_2018-12-21_final
2018-12-31 11:12:58	ga_s2bm_ard_3-2-1_52KEC_2018-12-31_final
2019-02-12 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2019-02-12_final
2019-02-19 11:10:46	ga_s2bm_ard_3-2-1_52LFM_2019-02-19_final.stac-item
2019-02-22 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2019-02-22_final
2019-03-24 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2019-03-24_final
2019-03-24 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2019-03-24_final
2019-04-15 12:03:32	ga_s2bm_ard_3-2-1_50KLC_2019-04-15_final
2019-05-10 11:15:38	ga_s2bm_ard_3-2-1_51JXJ_2019-05-10_final
2019-05-25 10:27:02	ga_s2bm_ard_3-2-1_53HNB_2019-05-25_final
2019-06-11 11:54:41	ga_s2bm_ard_3-2-1_50JPT_2019-06-11_final
2019-07-05 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-05_final
2019-08-18 11:10:43	ga_s2bm_ard_3-2-1_52LHM_2019-08-18_final
2019-08-31 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2019-08-31_final
2019-09-10 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2019-09-10_final
2020-01-01 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2020-01-01_final
2020-01-05 11:13:31	ga_s2bm_ard_3-2-1_52KCA_2020-01-05_final
2020-01-05 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2020-01-05_final
2020-01-05 11:14:04	ga_s2bm_ard_3-2-1_52KBU_2020-01-05_final
2020-01-19 10:55:54	ga_s2bm_ard_3-2-1_52JFL_2020-01-19_final
2020-01-25 11:12:05	ga_s2bm_ard_3-2-1_52KEF_2020-01-25_final
2020-01-25 11:16:30	ga_s2bm_ard_3-2-1_51HYD_2020-01-25_final
2020-02-26 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-02-26_final
2020-04-07 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2020-04-07_final
2020-07-20 11:04:49	ga_s2bm_ard_3-2-1_52JER_2020-07-20_final
2020-10-26 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-26_final
2020-12-16 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2020-12-16_final
2021-02-05 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2021-02-05_final
2021-02-05 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2021-02-05_final
2021-03-26 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2021-03-26_final
2021-05-05 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2021-05-05_final
2021-05-26 11:04:21	ga_s2bm_ard_3-2-1_52JDT_2021-05-26_final
2021-06-11 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2021-06-11_final
2021-06-14 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-06-14_final
2021-07-05 11:05:39	ga_s2bm_ard_3-2-1_52JCN_2021-07-05_final
2021-07-11 11:22:35	ga_s2bm_ard_3-2-1_51KYV_2021-07-11_final
2021-07-23 12:06:17	ga_s2bm_ard_3-2-1_50JKM_2021-07-23_final
2021-07-30 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-07-30_final
2021-09-16 11:11:44	ga_s2bm_ard_3-2-1_52LEH_2021-09-16_final
2021-10-30 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-10-30_final
2021-11-22 11:05:27	ga_s2bm_ard_3-2-1_52JEN_2021-11-22_final
2021-12-11 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2021-12-11_final
2021-12-11 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-12-11_final
2022-01-27 11:23:25	ga_s2bm_ard_3-2-1_52KBA_2022-01-27_final
2022-01-27 11:26:34	ga_s2bm_ard_3-2-1_51HWD_2022-01-27_final
2022-02-10 11:00:39	ga_s2bm_ard_3-2-1_52LHM_2022-02-10_final
2022-02-12 11:44:39	ga_s2bm_ard_3-2-1_51JTM_2022-02-12_final
2022-03-18 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2022-03-18_final
2022-04-04 11:15:09	ga_s2bm_ard_3-2-1_52JDP_2022-04-04_final
2022-05-04 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2022-05-04_final
2022-05-13 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-05-13_final
2022-05-28 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2022-05-28_final
2022-06-09 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2022-06-09_final
2022-06-11 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2022-06-11_final
2022-07-29 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2022-07-29_final
2022-09-03 11:53:44	ga_s2bm_ard_3-2-1_50KMB_2022-09-03_final.stac-item
2022-09-28 11:01:17	ga_s2bm_ard_3-2-1_52LGK_2022-09-28_final.stac-item
2022-10-29 10:36:49	ga_s2bm_ard_3-2-1_53HNB_2022-10-29_final.stac-item
2022-10-31 11:15:46	ga_s2bm_ard_3-2-1_52JCM_2022-10-31_final.stac-item
2022-11-23 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2022-11-23_final.stac-item
2023-01-11 13:31:30	ga_s2bm_ard_3-2-1_46LHN_2023-01-11_interim.stac-item
2023-01-15 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2023-01-15_final.stac-item
2023-01-17 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2023-01-17_final.stac-item
2023-01-21 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2023-01-21_final.stac-item
2023-02-21 11:22:41	ga_s2bm_ard_3-2-1_51KYV_2023-02-21_final.stac-item
2023-03-26 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-03-26_final.stac-item
2023-04-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-04-08_final.stac-item
2023-06-01 11:26:44	ga_s2bm_ard_3-2-1_51HWD_2023-06-01_final.stac-item
2023-07-01 11:23:55	ga_s2bm_ard_3-2-1_52KBV_2023-07-01_final.stac-item
2023-07-21 11:23:26	ga_s2bm_ard_3-2-1_52KBB_2023-07-21_final.stac-item
2023-08-13 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-08-13_final.stac-item
2023-08-26 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2023-08-26_final.stac-item
2023-12-04 11:43:03	ga_s2bm_ard_3-2-1_51KVT_2023-12-04_final.stac-item
2024-02-15 11:57:13	ga_s2bm_ard_3-2-1_50HKH_2024-02-15_nrt.stac-item
2024-03-11 11:02:54	ga_s2bm_ard_3-2-1_52KGC_2024-03-11_final.stac-item
2024-03-14 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2024-03-14_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