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
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KVS_2017-11-25_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWR_2017-12-02_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50KQA_2017-12-05_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-12-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUQ_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-15_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HLH_2018-02-13_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-03-24_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLG_2018-04-07_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KUV_2018-04-24_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXT_2018-04-28_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYS_2018-05-08_final
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KQD_2018-08-15_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUU_2018-08-22_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWQ_2018-10-28_final
2018-12-17 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2018-12-17_final
2018-12-30 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2018-12-30_final
2019-01-02 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2019-01-02_final.stac-item
2019-01-03 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2019-01-03_final
2019-01-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-01-09_final
2019-02-08 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-02-08_final
2019-03-30 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2019-03-30_final.stac-item
2019-05-16 11:33:32	ga_s2bm_ard_3-2-1_51KXS_2019-05-16_final
2019-05-26 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-05-26_final
2019-06-05 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-06-05_final
2019-06-18 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-06-18_final
2019-08-31 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2019-08-31_final
2019-10-13 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2019-10-13_final
2019-10-13 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-13_final
2019-10-20 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2019-10-20_final
2019-10-30 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2019-10-30_final
2019-11-12 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-11-12_final
2019-11-15 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2019-11-15_final
2019-11-19 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2019-11-19_final
2019-12-25 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2019-12-25_final
2020-01-24 11:43:22	ga_s2bm_ard_3-2-1_51KUS_2020-01-24_final
2020-02-07 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2020-02-07_final
2020-02-13 11:42:17	ga_s2bm_ard_3-2-1_51KWA_2020-02-13_final
2020-05-07 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2020-05-07_final
2020-06-02 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-06-02_final
2020-06-16 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2020-06-16_final
2020-06-19 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-06-19_final
2020-06-19 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-06-19_final
2020-08-25 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-08-25_final
2020-10-27 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-27_final
2020-12-06 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2020-12-06_final
2020-12-29 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2020-12-29_final
2021-01-02 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-01-02_final
2021-04-02 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-04-02_final
2021-04-25 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2021-04-25_final.stac-item
2021-06-14 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2021-06-14_final
2021-07-04 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-07-04_final
2021-07-26 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-26_final
2021-07-30 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-30_final
2021-08-03 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2021-08-03_final
2021-08-03 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-08-03_final.stac-item
2021-08-09 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-08-09_final.stac-item
2021-09-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2021-09-22_final
2021-10-05 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-10-05_final
2021-10-19 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2021-10-19_final
2021-10-22 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-10-22_final
2021-11-14 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2021-11-14_final
2021-11-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-11-17_final
2021-12-21 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2021-12-21_final
2022-02-19 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-02-19_final
2022-02-19 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-19_final
2022-03-21 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2022-03-21_final
2022-03-31 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-03-31_final
2022-04-09 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-04-09_final
2022-04-10 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2022-04-10_final
2022-05-10 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2022-05-10_final
2022-07-21 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2022-07-21_final.stac-item
2022-09-07 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2022-09-07_final.stac-item
2022-09-07 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2022-09-07_final.stac-item
2022-09-13 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2022-09-13_final.stac-item
2022-10-27 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2022-10-27_final.stac-item
2022-11-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-11-26_final.stac-item
2022-12-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-12-26_final.stac-item
2023-03-06 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-03-06_final.stac-item
2023-03-09 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2023-03-09_final.stac-item
2023-03-09 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-03-09_final.stac-item
2023-03-26 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-03-26_final.stac-item
2023-04-02 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2023-04-02_final.stac-item
2023-04-05 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-04-05_final.stac-item
2023-04-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-04-05_final.stac-item
2023-04-15 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2023-04-15_final.stac-item
2023-05-15 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2023-05-15_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-23_final.stac-item
2023-08-03 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2023-08-03_final.stac-item
2023-08-03 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-08-03_final.stac-item
2023-09-12 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-09-12_final.stac-item
2023-09-12 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2023-09-12_final.stac-item
2023-11-14 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2023-11-14_final.stac-item
2023-12-04 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2023-12-04_final.stac-item
2023-12-10 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-12-10_final.stac-item
2023-12-18 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2023-12-18_final.stac-item
2024-02-29 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2024-02-29_final.stac-item
2024-02-29 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2024-02-29_final.stac-item
2024-03-20 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-03-20_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