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
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JKM_2017-08-30_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKM_2017-09-22_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HMH_2017-11-18_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWU_2018-02-20_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KXQ_2018-06-10_final
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51HXD_2018-06-24_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HLH_2018-06-26_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HMK_2018-06-26_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51JUF_2018-06-27_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JFM_2018-08-21_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKM_2018-08-28_final
2018-11-11 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2018-11-11_final
2019-03-08 11:05:06	ga_s2bm_ard_3-2-1_52JCQ_2019-03-08_final
2019-03-17 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-03-17_final
2019-03-21 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2019-03-21_final
2019-04-19 11:43:49	ga_s2bm_ard_3-2-1_51KUR_2019-04-19_final
2019-07-11 11:53:48	ga_s2bm_ard_3-2-1_50KNB_2019-07-11_final
2019-07-29 11:14:17	ga_s2bm_ard_3-2-1_52KBU_2019-07-29_final
2019-08-13 12:04:55	ga_s2bm_ard_3-2-1_50JMS_2019-08-13_final
2019-09-24 11:03:02	ga_s2bm_ard_3-2-1_52KFC_2019-09-24_final
2019-12-05 11:45:05	ga_s2bm_ard_3-2-1_50JNR_2019-12-05_final
2019-12-13 11:03:43	ga_s2bm_ard_3-2-1_52KEV_2019-12-13_final
2019-12-16 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2019-12-16_final
2019-12-16 11:16:03	ga_s2bm_ard_3-2-1_51JYF_2019-12-16_final
2019-12-22 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2019-12-22_final
2019-12-25 11:46:21	ga_s2bm_ard_3-2-1_50JML_2019-12-25_final
2020-01-05 11:14:01	ga_s2bm_ard_3-2-1_52KCU_2020-01-05_final
2020-02-04 11:11:56	ga_s2bm_ard_3-2-1_52KEG_2020-02-04_final
2020-03-02 11:04:48	ga_s2bm_ard_3-2-1_52JDR_2020-03-02_final
2020-04-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-04-19_final
2020-05-09 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-05-09_final
2020-07-20 11:02:56	ga_s2bm_ard_3-2-1_52KHC_2020-07-20_final
2020-08-02 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-08-02_final
2020-09-20 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2020-09-20_final
2020-12-26 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2020-12-26_final
2021-02-01 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2021-02-01_final
2021-02-05 11:02:11	ga_s2bm_ard_3-2-1_52KHF_2021-02-05_final
2021-02-11 11:24:25	ga_s2bm_ard_3-2-1_51JXN_2021-02-11_final
2021-03-09 11:42:34	ga_s2bm_ard_3-2-1_51KVV_2021-03-09_final
2021-03-13 11:24:25	ga_s2bm_ard_3-2-1_51JXN_2021-03-13_final
2021-03-13 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2021-03-13_final
2021-03-13 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2021-03-13_final
2021-03-13 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2021-03-13_final
2021-03-17 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2021-03-17_final
2021-03-19 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-03-19_final
2021-04-08 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2021-04-08_final
2021-04-15 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-04-15_final
2021-05-15 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2021-05-15_final
2021-05-19 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2021-05-19_final
2021-05-19 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2021-05-19_final
2021-06-04 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2021-06-04_final
2021-06-20 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-06-20_final
2021-06-22 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-06-22_final
2021-07-08 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-07-08_final
2021-07-30 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-30_final
2021-12-21 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2021-12-21_final
2021-12-31 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-31_final
2022-01-17 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2022-01-17_final
2022-01-27 11:23:04	ga_s2bm_ard_3-2-1_51KYT_2022-01-27_final
2022-01-30 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2022-01-30_final
2022-03-05 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2022-03-05_final
2022-03-18 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2022-03-18_final
2022-04-18 10:55:52	ga_s2bm_ard_3-2-1_52JGL_2022-04-18_final
2022-04-27 11:26:25	ga_s2bm_ard_3-2-1_51HUE_2022-04-27_final
2022-05-01 11:03:50	ga_s2bm_ard_3-2-1_52KGU_2022-05-01_final
2022-05-17 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2022-05-17_final
2022-05-17 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2022-05-17_final
2022-05-23 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-05-23_final
2022-05-31 11:04:03	ga_s2bm_ard_3-2-1_52KEU_2022-05-31_final
2022-06-02 11:46:26	ga_s2bm_ard_3-2-1_50JML_2022-06-02_final
2022-06-15 11:54:29	ga_s2bm_ard_3-2-1_50KMU_2022-06-15_final
2022-07-03 11:16:07	ga_s2bm_ard_3-2-1_52JCL_2022-07-03_final
2022-07-29 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2022-07-29_final
2022-07-31 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-31_final
2022-08-17 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2022-08-17_final
2022-09-25 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2022-09-25_final.stac-item
2022-10-12 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2022-10-12_final.stac-item
2022-11-07 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2022-11-07_final.stac-item
2022-11-20 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2022-11-20_final.stac-item
2023-01-05 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2023-01-05_final.stac-item
2023-01-18 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2023-01-18_final.stac-item
2023-01-29 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2023-01-29_final.stac-item
2023-03-22 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-03-22_nrt.stac-item
2023-03-24 10:55:58	ga_s2bm_ard_3-2-1_52JGL_2023-03-24_final.stac-item
2023-04-05 11:31:08	ga_s2bm_ard_3-2-1_52LBL_2023-04-05_nrt.stac-item
2023-04-12 11:21:11	ga_s2bm_ard_3-2-1_52LBL_2023-04-12_nrt.stac-item
2023-04-25 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-04-25_final.stac-item
2023-05-02 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-05-02_final.stac-item
2023-06-18 11:13:27	ga_s2bm_ard_3-2-1_52KCB_2023-06-18_final.stac-item
2023-06-21 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-21_final.stac-item
2023-07-01 11:21:31	ga_s2bm_ard_3-2-1_51LZE_2023-07-01_final.stac-item
2023-07-01 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-07-01_final.stac-item
2023-11-05 11:16:33	ga_s2bm_ard_3-2-1_51HWE_2023-11-05_final.stac-item
2023-12-08 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2023-12-08_final.stac-item
2023-12-12 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2023-12-12_nrt.stac-item
2024-01-04 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2024-01-04_final.stac-item
2024-03-11 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2024-03-11_final.stac-item
2024-03-13 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2024-03-13_final.stac-item
2024-03-24 11:13:01	ga_s2bm_ard_3-2-1_52KEC_2024-03-24_final.stac-item
2024-03-29 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2024-03-29_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