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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLN_2017-07-11_final
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKN_2017-11-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMJ_2018-04-24_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HNK_2018-06-16_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNL_2018-08-05_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JKN_2018-10-04_final
2018-11-14 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2018-11-14_final
2018-11-17 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-17_final
2019-03-19 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-03-19_final
2019-06-27 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-27_final
2019-07-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-07-24_final
2019-08-04 11:37:08	ga_s2bm_ard_3-2-1_51HTC_2019-08-04_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2019-08-30_final
2019-09-29 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-09-29_final
2019-10-19 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2019-10-19_final
2019-10-20 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-10-20_final
2019-11-08 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-11-08_final
2019-11-09 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2019-11-09_final
2019-12-05 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2019-12-05_final.stac-item
2019-12-08 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2019-12-08_final
2020-01-07 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2020-01-07_final
2020-01-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-01-07_final
2020-01-10 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2020-01-10_final
2020-01-24 11:43:08	ga_s2bm_ard_3-2-1_50KQC_2020-01-24_final
2020-01-24 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-24_final
2020-02-16 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-02-16_final
2020-02-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final
2020-03-07 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-30 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-03-30_final
2020-05-17 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2020-05-17_final
2020-07-06 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2020-07-06_final
2020-07-19 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2020-07-19_final
2020-08-21 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-08-21_final
2020-09-10 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-10_final
2020-10-06 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2020-10-06_final
2020-10-13 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2020-10-13_final.stac-item
2020-11-06 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2020-11-06_final
2020-11-06 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-11-06_final
2020-11-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-11-06_final
2020-12-05 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2020-12-05_final
2020-12-13 11:24:23	ga_s2bm_ard_3-2-1_51JXN_2020-12-13_final
2020-12-19 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2020-12-19_final
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2021-01-17_final
2021-01-29 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2021-01-29_final
2021-02-06 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-06_final
2021-02-10 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-02-10_final
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-02-13_final
2021-03-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-25_final
2021-04-11 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2021-04-11_final
2021-04-18 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-18_final
2021-04-22 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2021-04-22_final
2021-04-24 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2021-04-24_final
2021-05-24 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-05-24_final
2021-05-31 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-05-31_final
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final
2021-07-01 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-01_final
2021-07-14 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-14_final
2021-10-15 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-15_final
2021-11-03 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-11-03_final
2021-12-07 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2021-12-07_final.stac-item
2021-12-20 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-12-20_final
2021-12-27 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2021-12-27_final
2022-01-16 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-01-16_final
2022-02-12 11:42:58	ga_s2bm_ard_3-2-1_50KRD_2022-02-12_final
2022-02-12 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2022-02-12_final
2022-02-23 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2022-02-23_final
2022-03-17 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-03-17_final
2022-03-24 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-03-24_final
2022-04-20 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2022-04-20_final
2022-05-20 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-05-20_final
2022-08-25 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2022-08-25_final
2022-09-01 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2022-09-01_final.stac-item
2022-09-16 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2022-09-16_final.stac-item
2022-09-29 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-09-29_final.stac-item
2022-11-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-11-18_final.stac-item
2023-01-05 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-05_final.stac-item
2023-01-22 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2023-01-22_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-02-27 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-02-27_final.stac-item
2023-04-05 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-04-05_final.stac-item
2023-05-24 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-05-24_final.stac-item
2023-05-24 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-05-24_final.stac-item
2023-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-06-04_final.stac-item
2023-06-14 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-06-14_final.stac-item
2023-07-20 11:56:17	ga_s2bm_ard_3-2-1_50JLM_2023-07-20_final.stac-item
2023-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2023-07-27_final.stac-item
2023-08-22 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-08-22_final.stac-item
2023-08-26 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-08-26_final.stac-item
2023-10-02 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-02_final.stac-item
2023-10-08 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-10-08_final.stac-item
2023-10-11 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-10-11_final.stac-item
2023-10-18 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-10-18_final.stac-item
2023-10-18 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-10-18_final.stac-item
2023-11-10 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2023-11-10_final.stac-item
2023-12-17 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-12-17_final.stac-item
2024-01-23 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-01-23_final.stac-item
2024-03-06 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-06_final.stac-item
2024-04-11 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-04-11_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