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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPK_2017-07-25_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50KNC_2017-11-08_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JVF_2017-11-19_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-11-28_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-14_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HPH_2017-12-25_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51JTM_2018-01-11_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLT_2018-03-21_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HUD_2018-03-29_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JLM_2018-05-20_final
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGL_2018-05-23_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-07-12_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_51HYE_2018-10-12_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JLN_2018-10-14_final
2018-11-26 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2018-11-26_final
2018-11-26 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2018-11-26_final
2018-11-26 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2018-11-26_final
2018-12-23 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2018-12-23_final
2019-01-05 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2019-01-05_final
2019-01-12 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2019-01-12_final.stac-item
2019-01-22 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2019-01-22_final
2019-03-09 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2019-03-09_final
2019-03-26 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-03-26_final
2019-04-06 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2019-04-06_final
2019-04-09 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2019-04-09_final.stac-item
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-04_final
2019-06-14 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-06-14_final
2019-07-11 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-07-11_final
2019-07-17 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-17_final
2019-08-23 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2019-08-23_final
2019-08-23 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2019-08-23_final
2019-09-06 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2019-09-06_final
2019-09-20 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2019-09-20_final
2019-10-03 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2019-10-03_final
2019-10-29 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2019-10-29_final
2019-12-02 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2019-12-02_final.stac-item
2019-12-11 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2019-12-11_final
2020-01-20 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2020-01-20_final
2020-02-09 12:03:53	ga_s2bm_ard_3-2-1_50KKA_2020-02-09_final
2020-02-10 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2020-02-10_final
2020-03-24 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2020-03-24_final
2020-04-29 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2020-04-29_final
2020-05-02 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2020-05-02_final
2020-07-05 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2020-07-05_final
2020-07-19 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-07-19_final
2020-07-19 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2020-07-19_final
2021-01-18 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2021-01-18_final
2021-01-18 11:44:59	ga_s2bm_ard_3-2-1_51JTL_2021-01-18_final
2021-02-23 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-02-23_final
2021-05-01 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-05-01_final.stac-item
2021-05-04 12:04:15	ga_s2bm_ard_3-2-1_50KMU_2021-05-04_final
2021-06-03 12:04:47	ga_s2bm_ard_3-2-1_50JLS_2021-06-03_final
2021-06-10 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-06-10_final
2021-08-02 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final
2021-09-18 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2021-09-18_final
2021-09-25 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-09-25_final
2021-09-28 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-09-28_final
2021-10-18 11:54:09	ga_s2bm_ard_3-2-1_50KPV_2021-10-18_final
2021-10-28 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-10-28_final
2021-11-04 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-11-04_final
2021-11-14 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-11-14_final
2021-12-04 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2021-12-04_final
2021-12-07 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-12-07_final
2022-06-25 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-06-25_final
2022-06-29 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2022-06-29_final
2022-07-02 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2022-07-02_final
2022-07-05 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2022-07-05_final.stac-item
2022-07-25 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-25_final
2022-09-13 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2022-09-13_final.stac-item
2022-09-29 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-09-29_final.stac-item
2022-10-16 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2022-10-16_final.stac-item
2022-10-19 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-10-19_final.stac-item
2022-10-26 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-10-26_final.stac-item
2022-10-26 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-10-26_final.stac-item
2022-11-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-11-18_final.stac-item
2022-12-26 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-12-26_final.stac-item
2023-02-10 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-02-10_final.stac-item
2023-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-02-13_final.stac-item
2023-04-24 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-04-24_final.stac-item
2023-05-11 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2023-05-11_final.stac-item
2023-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-05-14_final.stac-item
2023-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-05-18_final.stac-item
2023-05-21 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-05-21_final.stac-item
2023-05-28 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-05-28_final.stac-item
2023-06-16 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-06-16_final.stac-item
2023-08-03 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-08-03_final.stac-item
2023-08-09 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-08-09_final.stac-item
2023-08-12 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-08-12_final.stac-item
2023-09-22 11:36:21	ga_s2bm_ard_3-2-1_51JTF_2023-09-22_final.stac-item
2023-10-01 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-01_final.stac-item
2023-10-02 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2023-10-02_final.stac-item
2023-10-15 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-10-15_final.stac-item
2023-10-22 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-10-22_final.stac-item
2023-10-28 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2023-10-28_final.stac-item
2023-11-10 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-11-10_final.stac-item
2024-01-10 11:35:40	ga_s2bm_ard_3-2-1_51JVH_2024-01-10_final.stac-item
2024-01-19 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2024-01-19_final.stac-item
2024-02-25 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2024-02-25_final.stac-item
2024-03-09 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2024-03-09_final.stac-item
2024-05-02 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2024-05-02_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