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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JLN_2017-07-04_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQN_2017-08-27_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HUD_2017-11-19_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-12-11_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-14_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLM_2017-12-18_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHS_2017-12-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HTD_2018-01-31_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JRT_2018-03-05_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HLG_2018-05-24_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-05-30_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPK_2018-06-13_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JKP_2018-07-26_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHS_2018-09-17_final.stac-item
2018-11-17 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2018-11-17_final
2018-11-23 11:53:35	ga_s2bm_ard_3-2-1_50KNB_2018-11-23_final
2018-11-24 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2018-11-24_final
2018-12-10 11:44:24	ga_s2bm_ard_3-2-1_50JRT_2018-12-10_final
2018-12-17 11:34:31	ga_s2bm_ard_3-2-1_50JRT_2018-12-17_final
2019-01-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2019-01-06_final
2019-01-12 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2019-01-12_final
2019-02-21 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-21_final
2019-03-13 11:54:37	ga_s2bm_ard_3-2-1_50JMT_2019-03-13_final
2019-04-16 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2019-04-16_final
2019-04-19 11:45:52	ga_s2bm_ard_3-2-1_50JQN_2019-04-19_final
2019-04-23 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2019-04-23_final
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-15_final.stac-item
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final
2019-07-14 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-07-14_final.stac-item
2019-07-22 11:26:50	ga_s2bm_ard_3-2-1_51HVD_2019-07-22_final
2019-08-31 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2019-08-31_final
2019-11-15 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2019-11-15_final.stac-item
2019-12-14 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-14_final
2019-12-15 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-15_final
2020-02-06 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2020-02-06_final
2020-02-23 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2020-02-23_final
2020-04-12 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2020-04-12_final
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final
2020-05-06 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-05-06_final
2020-08-04 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-08-04_final
2020-09-07 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-09-07_final
2020-09-07 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-07_final
2020-09-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-09-20_final
2020-09-26 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-09-26_final
2020-09-26 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-09-26_final
2020-11-29 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2020-11-29_final
2020-12-29 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-12-29_final.stac-item
2021-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-02-17_final.stac-item
2021-02-23 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-23_final
2021-03-05 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-05_final
2021-03-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-16_final
2021-04-01 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-04-01_final
2021-04-14 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-04-14_final
2021-05-02 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2021-05-02_final
2021-05-22 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-05-22_final
2021-05-31 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-05-31_final
2021-06-27 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2021-06-27_final
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final
2021-07-14 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-14_final
2021-07-14 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2021-07-14_final
2021-07-24 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-24_final
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final
2021-08-19 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-08-19_final
2021-10-01 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-10-01_final
2021-10-11 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-10-11_final
2021-10-14 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-14_final.stac-item
2021-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-10-28_final
2021-11-24 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2021-11-24_final
2021-12-11 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2021-12-11_final
2022-02-21 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-21_final
2022-02-22 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-02-22_final
2022-03-27 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2022-03-27_final
2022-05-16 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-05-16_final
2022-05-19 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2022-05-19_final
2022-09-16 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2022-09-16_final.stac-item
2022-09-26 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-09-26_final.stac-item
2022-11-09 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-11-09_final.stac-item
2023-02-04 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-02-04_final.stac-item
2023-04-01 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2023-04-01_final.stac-item
2023-04-24 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-04-24_final.stac-item
2023-04-25 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-04-25_final.stac-item
2023-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-06-04_final.stac-item
2023-06-13 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-06-13_final.stac-item
2023-07-04 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-04_final.stac-item
2023-09-21 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-09-21_final.stac-item
2023-09-28 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-09-28_final.stac-item
2023-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-04_final.stac-item
2023-12-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-12-17_final.stac-item
2024-01-19 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-01-19_final.stac-item
2024-01-23 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2024-01-23_final.stac-item
2024-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2024-01-23_final.stac-item
2024-02-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-02-15_final.stac-item
2024-02-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-02-15_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_final.stac-item
2024-02-29 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2024-02-29_final.stac-item
2024-04-25 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-04-25_final.stac-item
2024-05-02 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-05-02_final.stac-item
2024-05-02 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_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