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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPN_2017-08-27_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGL_2017-11-01_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMN_2017-11-18_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HTD_2017-12-12_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_50JQL_2018-01-21_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPQ_2018-02-06_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KPC_2018-03-08_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKT_2018-03-21_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-06-09_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNN_2018-07-13_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HQK_2018-09-18_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLK_2018-09-24_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHR_2018-09-30_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KQC_2018-10-14_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JNL_2018-10-24_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JNM_2018-10-31_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JMN_2018-11-03_final
2018-12-27 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2018-12-27_final
2019-03-30 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-03-30_final.stac-item
2019-05-06 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-05-06_final
2019-05-15 12:04:19	ga_s2bm_ard_3-2-1_50KLV_2019-05-15_final
2019-05-22 11:55:11	ga_s2bm_ard_3-2-1_50JPR_2019-05-22_final
2019-06-04 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-04_final
2019-06-15 11:36:34	ga_s2bm_ard_3-2-1_50JPL_2019-06-15_final
2019-06-17 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-06-17_final
2019-07-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-24_final
2019-08-04 11:36:39	ga_s2bm_ard_3-2-1_51HTE_2019-08-04_final
2019-08-30 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2019-08-30_final
2019-09-23 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2019-09-23_final
2019-10-05 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2019-10-06 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2019-10-06_final
2019-10-13 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2019-10-13_final
2019-10-16 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2019-10-16_final
2019-12-02 11:36:14	ga_s2bm_ard_3-2-1_50JQL_2019-12-02_final
2019-12-08 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2019-12-08_final
2019-12-11 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2019-12-11_final
2019-12-15 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-15_final.stac-item
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final
2020-02-09 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-02-09_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-04-22 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2020-04-22_final
2020-05-26 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2020-05-26_final
2020-05-29 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2020-05-29_final
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final
2020-06-28 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-28_final
2020-08-07 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-08-07_final
2020-08-08 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2020-08-08_final
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final
2020-08-21 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2020-08-21_final
2020-08-30 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-30_final
2020-10-03 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2020-10-03_final.stac-item
2020-10-03 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-10-03_final
2020-10-07 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-10-07_final
2020-10-10 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-10_final
2020-11-16 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2020-11-16_final
2020-11-25 12:04:25	ga_s2bm_ard_3-2-1_50KLU_2020-11-25_final
2020-12-19 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-12-19_final.stac-item
2021-01-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-14_final
2021-03-22 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-03-22_final
2021-04-05 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-04-05_final
2021-05-15 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2021-05-15_final
2021-06-17 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2021-06-17_final
2021-06-20 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-06-20_final
2021-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-07_final
2021-07-23 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-07-23_final
2021-08-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-08-13_final
2021-09-05 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2021-09-05_final
2021-10-05 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-10-05_final
2021-10-28 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-28_final
2021-12-24 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2021-12-24_final
2022-03-31 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2022-03-31_final
2022-04-19 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2022-04-19_final
2022-05-23 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2022-05-23_final
2022-06-19 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-06-19_final
2022-07-15 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2022-07-15_final
2022-08-21 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2022-08-21_final
2022-09-26 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2022-09-26_final.stac-item
2022-10-30 11:45:31	ga_s2bm_ard_3-2-1_50JQP_2022-10-30_final.stac-item
2022-11-02 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2022-11-02_final.stac-item
2023-01-04 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2023-01-04_final.stac-item
2023-02-06 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-02-06_final.stac-item
2023-02-10 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2023-02-10_final.stac-item
2023-03-16 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-03-16_final.stac-item
2023-03-19 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2023-03-19_final.stac-item
2023-04-07 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-04-07_final.stac-item
2023-04-15 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-04-15_final.stac-item
2023-04-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final.stac-item
2023-05-15 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-05-15_final.stac-item
2023-06-07 11:44:21	ga_s2bm_ard_3-2-1_50KRU_2023-06-07_final.stac-item
2023-07-03 12:03:25	ga_s2bm_ard_3-2-1_50KNC_2023-07-03_final.stac-item
2023-10-02 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-10-02_final.stac-item
2023-10-15 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-10-15_final.stac-item
2023-11-07 11:53:56	ga_s2bm_ard_3-2-1_50KNA_2023-11-07_final.stac-item
2023-11-23 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2023-11-23_final.stac-item
2023-12-27 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2023-12-27_final.stac-item
2024-03-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2024-03-09_final.stac-item
2024-03-29 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-03-29_final.stac-item
2024-03-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-03-30_final.stac-item
2024-04-05 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2024-04-05_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