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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVV_2017-07-18_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KVR_2017-08-14_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53HMD_2017-09-18_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCA_2017-12-06_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_53JRM_2018-02-09_final
2018-03-16 11:07:05	ga_s2bm_ard_3-2-1_52LEL_2018-03-16_final.stac-item
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HQB_2018-06-19_final
2018-06-22 10:27:06	ga_s2bm_ard_3-2-1_53JQL_2018-06-22_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JQM_2018-08-31_final
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_53JNN_2018-10-23_final
2018-11-17 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2018-11-17_final
2018-12-07 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2018-12-07_final
2018-12-09 10:35:10	ga_s2bm_ard_3-2-1_53JQH_2018-12-09_final
2018-12-10 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2018-12-10_final
2018-12-17 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2018-12-17_final
2018-12-30 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2018-12-30_final
2019-01-06 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2019-01-06_final
2019-03-25 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2019-03-25_final
2019-04-20 11:14:00	ga_s2bm_ard_3-2-1_51KZQ_2019-04-20_final
2019-05-06 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-06_final
2019-06-27 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-06-27_final
2019-07-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-12_final
2019-07-24 10:26:26	ga_s2bm_ard_3-2-1_53HQD_2019-07-24_final
2019-08-01 11:23:36	ga_s2bm_ard_3-2-1_51KXS_2019-08-01_final
2019-10-03 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-10-03_final.stac-item
2019-10-05 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2019-10-05_final
2019-11-15 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2019-11-15_final
2019-11-23 11:01:57	ga_s2bm_ard_3-2-1_52KGG_2019-11-23_final
2019-11-27 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2019-11-27_final
2019-12-24 10:34:13	ga_s2bm_ard_3-2-1_53JQM_2019-12-24_final
2020-01-12 11:04:17	ga_s2bm_ard_3-2-1_52JGS_2020-01-12_final
2020-01-24 11:43:07	ga_s2bm_ard_3-2-1_50KRC_2020-01-24_final
2020-01-31 11:31:52	ga_s2bm_ard_3-2-1_51LWC_2020-01-31_final
2020-02-10 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2020-02-10_final
2020-03-01 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-03-01_final
2020-06-16 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2020-06-16_final
2020-08-17 10:24:22	ga_s2bm_ard_3-2-1_53JRM_2020-08-17_final
2020-09-13 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2020-09-13_final.stac-item
2020-09-16 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-09-16_final
2020-09-30 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2020-09-30_final.stac-item
2020-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2020-11-26_final
2020-12-10 11:11:31	ga_s2bm_ard_3-2-1_52LEJ_2020-12-10_final
2020-12-22 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2020-12-22_final
2021-01-16 11:04:47	ga_s2bm_ard_3-2-1_52JER_2021-01-16_final
2021-03-23 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-03-23_final
2021-03-26 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2021-03-26_final
2021-04-07 10:34:11	ga_s2bm_ard_3-2-1_53JRM_2021-04-07_final
2021-04-17 10:33:55	ga_s2bm_ard_3-2-1_53JRN_2021-04-17_final
2021-05-29 11:10:30	ga_s2bm_ard_3-2-1_52LGN_2021-05-29_final
2021-07-24 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2021-07-24_final
2021-10-29 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2021-10-29_final
2021-11-14 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-11-14_final
2021-12-21 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-12-21_final
2022-02-09 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2022-02-09_final
2022-02-11 10:36:44	ga_s2bm_ard_3-2-1_53HNB_2022-02-11_final
2022-03-05 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2022-03-05_final.stac-item
2022-04-01 11:06:00	ga_s2bm_ard_3-2-1_52JDL_2022-04-01_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_50KRC_2022-04-03_final
2022-04-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-03_final
2022-04-19 10:24:35	ga_s2bm_ard_3-2-1_53JQL_2022-04-19_final
2022-05-10 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2022-05-10_final.stac-item
2022-05-29 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2022-05-29_final
2022-06-01 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2022-06-01_final
2022-07-05 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-05_final
2022-08-13 10:44:10	ga_s2bm_ard_3-2-1_53JNN_2022-08-13_final
2022-09-08 11:00:47	ga_s2bm_ard_3-2-1_52LHM_2022-09-08_final.stac-item
2022-09-09 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2022-09-09_final.stac-item
2022-11-21 10:46:09	ga_s2bm_ard_3-2-1_53HLE_2022-11-21_final.stac-item
2022-11-27 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2022-11-27_final.stac-item
2022-11-28 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2022-11-28_final.stac-item
2022-12-08 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2022-12-08_final.stac-item
2022-12-10 11:16:17	ga_s2bm_ard_3-2-1_52HBK_2022-12-10_final.stac-item
2022-12-12 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2022-12-12_final.stac-item
2022-12-16 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2022-12-16_final.stac-item
2022-12-23 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2022-12-23_final.stac-item
2022-12-31 10:45:54	ga_s2bm_ard_3-2-1_52JGL_2022-12-31_final.stac-item
2023-01-19 11:12:33	ga_s2bm_ard_3-2-1_52KDE_2023-01-19_final.stac-item
2023-02-01 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2023-02-01_final.stac-item
2023-02-24 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-02-24_final.stac-item
2023-02-27 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-02-27_final.stac-item
2023-03-07 11:01:46	ga_s2bm_ard_3-2-1_52LHH_2023-03-07_final.stac-item
2023-03-11 10:45:51	ga_s2bm_ard_3-2-1_52JGM_2023-03-11_final.stac-item
2023-03-26 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-03-26_final.stac-item
2023-04-07 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2023-04-07_final.stac-item
2023-04-25 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2023-04-25_final.stac-item
2023-04-28 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2023-04-28_final.stac-item
2023-05-08 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-05-08_final.stac-item
2023-05-27 10:36:55	ga_s2bm_ard_3-2-1_53HNB_2023-05-27_final.stac-item
2023-06-29 10:44:26	ga_s2bm_ard_3-2-1_53JNM_2023-06-29_final.stac-item
2023-07-17 11:43:20	ga_s2bm_ard_3-2-1_51KUT_2023-07-17_final.stac-item
2023-07-26 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-26_final.stac-item
2024-01-10 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2024-01-10_final.stac-item
2024-01-23 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2024-01-23_final.stac-item
2024-01-24 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2024-01-24_final.stac-item
2024-02-20 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2024-02-20_final.stac-item
2024-02-29 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2024-02-29_final.stac-item
2024-03-27 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2024-03-27_final.stac-item
2024-03-29 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2024-03-29_final.stac-item
2024-03-30 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2024-03-30_final.stac-item
2024-04-01 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2024-04-01_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