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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPS_2017-08-20_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JQT_2017-08-20_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQS_2017-08-27_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPQ_2017-09-09_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JQT_2017-09-09_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JQT_2017-11-18_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-11-24_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-11-24_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-11-24_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPR_2017-11-28_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JPT_2017-12-08_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JMT_2017-12-11_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-12-14_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-12-14_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HQH_2017-12-15_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMT_2017-12-18_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50JRT_2018-02-23_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLN_2018-09-04_final
2018-11-06 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2018-11-06_final
2018-11-19 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-19_final
2018-11-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-11-26_final
2018-12-03 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2018-12-03_final
2018-12-09 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-09_final
2018-12-20 11:45:27	ga_s2bm_ard_3-2-1_50JQP_2018-12-20_final
2018-12-20 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2018-12-20_final
2018-12-26 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2018-12-26_final
2018-12-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-12-26_final
2018-12-29 12:14:15	ga_s2bm_ard_3-2-1_50KKU_2018-12-29_final
2018-12-30 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2018-12-30_final
2019-01-02 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-01-02_final
2019-01-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-01-08_final
2019-01-15 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2019-01-15_final
2019-04-15 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2019-04-15_final.stac-item
2019-05-25 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-05-25_final
2019-05-26 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-26_final
2019-11-12 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2019-11-12_final.stac-item
2019-12-21 12:03:47	ga_s2bm_ard_3-2-1_50KMA_2019-12-21_final
2019-12-28 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2019-12-28_final
2020-01-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-01-10_final
2020-02-13 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2020-02-13_final
2020-03-24 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-03-24_final.stac-item
2020-03-27 11:56:12	ga_s2bm_ard_3-2-1_50JML_2020-03-27_final
2020-07-22 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-07-22_final
2020-07-22 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-22_final
2020-07-22 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-07-22_final.stac-item
2020-07-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-28_final
2020-08-21 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2020-08-21_final
2020-09-26 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-09-26_final
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2020-09-29_final
2020-10-17 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2020-10-17_final.stac-item
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final
2020-10-20 11:44:38	ga_s2bm_ard_3-2-1_50JQT_2020-10-20_final
2020-10-20 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2020-10-20_final
2020-10-20 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-10-20_final
2020-10-29 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-10-29_final
2020-11-08 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-11-08_final
2020-11-09 11:44:43	ga_s2bm_ard_3-2-1_50JQT_2020-11-09_final
2020-11-09 11:44:50	ga_s2bm_ard_3-2-1_50JQS_2020-11-09_final
2020-11-22 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2020-11-22_final
2020-11-28 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-11-28_final.stac-item
2020-11-28 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2020-11-28_final
2020-12-12 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-12-12_final
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2021-01-01 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2021-01-01_final
2021-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-01-04_final
2021-01-24 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-01-24_final
2021-02-13 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2021-02-13_final
2021-02-13 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2021-02-13_final
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_50KKV_2021-03-05_final
2021-03-19 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-03-19_final
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final
2021-05-15 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-05-15_final
2021-07-06 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-06_final
2021-08-22 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-08-22_final
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-10-15 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-10-15_final
2021-10-15 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2021-10-15_final
2021-10-25 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2021-10-25_final
2021-11-04 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-11-04_final
2021-12-01 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-12-01_final.stac-item
2021-12-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-03_final
2021-12-07 11:55:44	ga_s2bm_ard_3-2-1_50JNN_2021-12-07_final
2021-12-07 11:55:59	ga_s2bm_ard_3-2-1_50JNM_2021-12-07_final
2021-12-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2021-12-07_final.stac-item
2022-02-02 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2022-02-02_final
2022-08-01 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-08-01_final
2022-08-18 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2022-08-18_final.stac-item
2022-11-09 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2022-11-09_final.stac-item
2023-01-11 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2023-01-11_final.stac-item
2023-04-01 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-04-01_final.stac-item
2023-05-15 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-05-15_final.stac-item
2023-07-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-07_final.stac-item
2023-07-24 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2023-07-24_final.stac-item
2023-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2023-07-27_final.stac-item
2023-09-18 11:56:58	ga_s2bm_ard_3-2-1_50HMJ_2023-09-18_final.stac-item
2023-12-21 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-12-21_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