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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLP_2017-07-24_final
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_51HXD_2017-08-08_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKP_2017-09-02_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KKB_2017-11-01_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JNM_2017-11-15_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-11-24_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51JUN_2017-12-25_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTD_2018-01-11_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-01-30_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_50JRS_2018-02-10_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPJ_2018-02-13_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPJ_2018-04-01_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHR_2018-04-03_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-05-20_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2018-05-20_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNK_2018-05-24_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_50KPU_2018-07-03_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-14_final
2018-12-17 11:35:35	ga_s2bm_ard_3-2-1_51JVH_2018-12-17_final
2018-12-26 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2018-12-26_final
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final
2019-01-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2019-01-06_final
2019-01-25 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2019-01-25_final
2019-03-16 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-03-23 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2019-03-23_final.stac-item
2019-04-22 11:56:20	ga_s2bm_ard_3-2-1_50JKM_2019-04-22_final
2019-07-11 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-07-11_final
2019-07-22 11:26:58	ga_s2bm_ard_3-2-1_51HUD_2019-07-22_final
2019-08-04 11:36:54	ga_s2bm_ard_3-2-1_51HTD_2019-08-04_final
2019-08-04 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-08-04_final
2019-08-23 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2019-08-23_final
2019-08-23 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2019-08-23_final
2019-09-02 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-02_final
2019-10-02 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2019-10-02_final
2019-11-22 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2019-11-22_final
2019-12-22 11:36:40	ga_s2bm_ard_3-2-1_51HTD_2019-12-22_final
2020-01-07 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2020-01-07_final
2020-01-25 11:16:52	ga_s2bm_ard_3-2-1_51HWC_2020-01-25_final.stac-item
2020-02-07 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2020-02-07_final
2020-02-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-02-29_final
2020-04-09 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-04-09_final
2020-04-19 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2020-04-19_final
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final
2020-08-07 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-08-07_final
2020-09-03 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-09-03_final
2020-09-23 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-09-23_final
2020-11-12 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2020-11-12_final
2021-01-01 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-01-01_final
2021-02-24 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-02-24_final
2021-03-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-03-29_final.stac-item
2021-04-01 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2021-04-01_final
2021-04-21 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2021-04-21_final
2021-05-11 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-05-11_final.stac-item
2021-05-21 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-05-21_final.stac-item
2021-07-14 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2021-07-14_final
2021-08-12 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-08-12_final
2021-09-05 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2021-09-05_final
2021-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-08_final
2021-10-15 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2021-10-15_final
2021-10-28 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2021-10-28_final.stac-item
2021-12-10 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2021-12-10_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_50KKA_2021-12-13_final
2022-01-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-01-19_final
2022-01-29 12:04:07	ga_s2bm_ard_3-2-1_50KKV_2022-01-29_final
2022-02-22 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2022-02-22_final
2022-02-25 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2022-02-25_final
2022-03-04 11:44:48	ga_s2bm_ard_3-2-1_51JUL_2022-03-04_final
2022-03-08 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2022-03-08_final
2022-05-23 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2022-05-23_final
2022-06-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-06-29_final
2022-07-15 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-07-15_final.stac-item
2022-08-17 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2022-08-17_final
2022-09-13 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2022-09-13_final.stac-item
2022-09-26 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2022-09-26_final.stac-item
2022-11-12 11:56:17	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2023-01-01 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-01-01_final.stac-item
2023-01-21 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-21_final.stac-item
2023-01-31 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2023-01-31_final.stac-item
2023-02-16 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2023-02-16_final.stac-item
2023-03-05 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-03-05_final.stac-item
2023-03-06 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2023-03-06_final.stac-item
2023-03-26 11:36:17	ga_s2bm_ard_3-2-1_51JUF_2023-03-26_final.stac-item
2023-03-29 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-03-29_final.stac-item
2023-04-24 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-04-24_final.stac-item
2023-06-04 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-06-04_final.stac-item
2023-06-30 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2023-06-30_final.stac-item
2023-07-01 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2023-07-01_final.stac-item
2023-07-03 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-07-03_final.stac-item
2023-07-04 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2023-07-04_final.stac-item
2023-08-09 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-08-09_final.stac-item
2023-08-12 12:03:32	ga_s2bm_ard_3-2-1_50KLC_2023-08-12_final.stac-item
2023-09-05 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-09-05_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-20 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-20_final.stac-item
2024-01-19 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-01-19_final.stac-item
2024-01-23 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2024-01-23_final.stac-item
2024-01-23 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-01-23_final.stac-item
2024-01-30 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2024-01-30_final.stac-item
2024-03-06 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2024-03-06_final.stac-item
2024-04-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-04-08_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