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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JNN_2017-06-30_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWT_2017-11-22_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXT_2017-12-19_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_52LDJ_2018-03-19_final
2018-05-21 11:26:18	ga_s2bm_ard_3-2-1_51LZE_2018-05-21_final
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53JNM_2018-07-22_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JNN_2018-07-25_final
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JQM_2018-08-11_final
2018-11-07 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2018-11-07_final
2018-11-09 10:34:19	ga_s2bm_ard_3-2-1_53JPM_2018-11-09_final
2018-11-24 11:23:24	ga_s2bm_ard_3-2-1_52KCA_2018-11-24_final
2018-12-10 11:42:21	ga_s2bm_ard_3-2-1_51KVA_2018-12-10_final
2018-12-12 10:43:56	ga_s2bm_ard_3-2-1_53JPN_2018-12-12_final
2018-12-17 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2018-12-17_final
2018-12-21 11:13:46	ga_s2bm_ard_3-2-1_52KCV_2018-12-21_final
2018-12-21 11:14:59	ga_s2bm_ard_3-2-1_52JCQ_2018-12-21_final
2018-12-24 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2018-12-24_final
2018-12-30 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2018-12-30_final
2019-01-02 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2019-01-02_final.stac-item
2019-01-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-01-06_final
2019-01-06 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2019-01-06_final
2019-01-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2019-01-06_final
2019-01-06 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2019-01-06_final
2019-01-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2019-01-06_final
2019-01-06 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2019-01-06_final
2019-01-16 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2019-01-16_final
2019-02-15 11:33:36	ga_s2bm_ard_3-2-1_51KVR_2019-02-15_final
2019-02-20 10:44:28	ga_s2bm_ard_3-2-1_53JPL_2019-02-20_final
2019-04-08 10:34:22	ga_s2bm_ard_3-2-1_53JQM_2019-04-08_final
2019-05-06 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-05-06_final
2019-05-20 11:11:28	ga_s2bm_ard_3-2-1_52LEK_2019-05-20_final.stac-item
2019-06-07 10:34:40	ga_s2bm_ard_3-2-1_53JQL_2019-06-07_final
2019-06-25 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-06-25_final
2019-11-19 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2019-11-19_final
2019-11-22 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2019-11-22_final
2019-11-22 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2019-11-22_final.stac-item
2019-12-19 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2019-12-19_final
2019-12-22 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2019-12-22_final
2019-12-25 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2019-12-25_final
2020-01-01 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-01-01_final
2020-01-03 10:34:13	ga_s2bm_ard_3-2-1_53JQM_2020-01-03_final
2020-01-14 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2020-01-14_final
2020-01-31 11:33:16	ga_s2bm_ard_3-2-1_51KXS_2020-01-31_final
2020-02-01 11:00:41	ga_s2bm_ard_3-2-1_52LGM_2020-02-01_final
2020-04-06 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2020-04-06_final
2020-04-22 10:34:20	ga_s2bm_ard_3-2-1_53JNM_2020-04-22_final
2020-07-02 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2020-07-02_final
2020-07-09 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2020-07-09_final
2020-08-07 10:25:09	ga_s2bm_ard_3-2-1_53JQJ_2020-08-07_final
2020-08-28 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2020-08-28_final
2020-08-30 10:34:36	ga_s2bm_ard_3-2-1_53JQL_2020-08-30_final
2020-11-06 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-11-06_final
2020-11-06 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2020-11-06_final
2020-11-09 11:44:29	ga_s2bm_ard_3-2-1_51JUN_2020-11-09_final
2020-11-11 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2020-11-11_final
2020-11-16 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2020-11-16_final
2020-11-16 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2020-11-16_final
2020-11-16 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2020-11-16_final
2020-12-26 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-12-26_final
2021-01-02 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-01-02_final
2021-01-02 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-01-02_final
2021-01-18 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-01-18_final
2021-01-18 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-01-18_final
2021-01-25 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-01-25_final
2021-02-24 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-02-24_final
2021-03-18 10:34:32	ga_s2bm_ard_3-2-1_53JQL_2021-03-18_final
2021-06-14 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-14_final.stac-item
2021-08-20 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2021-08-20_final
2021-11-05 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2021-11-05_final
2021-11-14 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2021-11-14_final
2021-11-24 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2021-11-24_final
2021-11-26 10:44:16	ga_s2bm_ard_3-2-1_53JNM_2021-11-26_final
2021-12-01 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2021-12-01_final
2021-12-15 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2021-12-15_final
2021-12-31 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-31_final
2022-01-20 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2022-01-20_final
2022-02-22 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-22_final
2022-03-15 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2022-03-15_final
2022-07-28 10:24:45	ga_s2bm_ard_3-2-1_53JQL_2022-07-28_final
2022-08-07 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2022-08-07_final
2022-09-09 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2022-09-09_final.stac-item
2022-11-13 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-11-13_final.stac-item
2022-11-26 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-11-26_final.stac-item
2022-12-16 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-12-16_final.stac-item
2022-12-16 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-12-16_final.stac-item
2022-12-19 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-12-19_final.stac-item
2023-01-15 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-01-15_final.stac-item
2023-01-15 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-01-15_final.stac-item
2023-01-15 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-01-15_final.stac-item
2023-01-26 11:00:57	ga_s2bm_ard_3-2-1_52LHL_2023-01-26_final.stac-item
2023-01-28 13:21:36	ga_s2bm_ard_3-2-1_46LHN_2023-01-28_interim.stac-item
2023-02-06 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2023-02-06_final.stac-item
2023-02-27 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2023-02-27_final.stac-item
2023-05-27 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-05-27_final.stac-item
2023-06-04 11:35:45	ga_s2bm_ard_3-2-1_51JVH_2023-06-04_final.stac-item
2023-08-03 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2023-08-03_final.stac-item
2023-08-14 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2023-08-14_final.stac-item
2024-01-25 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2024-01-25_final.stac-item
2024-02-11 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2024-02-11_final.stac-item
2024-03-05 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2024-03-05_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