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_50JNM_2017-07-11_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNQ_2017-08-27_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNH_2017-10-06_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPH_2017-11-15_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JNN_2018-01-14_final
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_50HQH_2018-01-21_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HPK_2018-01-31_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JQR_2018-03-05_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50KRC_2018-03-25_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMG_2018-05-17_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMK_2018-05-24_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KMC_2018-06-16_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JLN_2018-06-19_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HQJ_2018-07-23_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLK_2018-08-25_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLG_2018-10-14_final.stac-item
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KRC_2018-10-24_final
2018-11-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2018-11-06_final
2018-11-06 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2018-11-06_final
2018-11-23 11:56:19	ga_s2bm_ard_3-2-1_50JML_2018-11-23_final
2018-12-03 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2018-12-03_final
2018-12-26 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2018-12-26_final
2019-01-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2019-01-06_final
2019-02-07 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-02-07_final
2019-02-17 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-02-17_final
2019-02-21 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2019-02-21_final
2019-08-07 11:47:24	ga_s2bm_ard_3-2-1_50HPG_2019-08-07_final.stac-item
2019-08-13 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-08-13_final
2019-08-17 11:43:24	ga_s2bm_ard_3-2-1_50KRC_2019-08-17_final
2019-09-26 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2019-09-26_final
2019-09-26 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-09-26_final
2019-09-30 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2019-09-30_final
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final
2019-11-28 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2019-11-28_final
2019-12-19 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2019-12-19_final
2020-01-14 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2020-01-14_final
2020-01-23 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-01-23_final
2020-02-20 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2020-02-20_final
2020-02-26 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2020-02-26_final
2020-02-29 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2020-02-29_final
2020-03-10 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-03-10_final
2020-03-14 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2020-03-14_final
2020-04-10 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2020-04-10_final
2020-06-02 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-06-02_final
2020-07-02 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-07-02_final
2020-11-02 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-11-02_final.stac-item
2020-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final
2020-11-29 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2020-11-29_final
2020-12-16 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2020-12-16_final
2020-12-19 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-12-19_final.stac-item
2020-12-25 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-12-25_final
2021-01-21 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2021-01-21_final
2021-02-23 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-02-23_final
2021-03-06 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2021-03-06_final
2021-03-29 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-03-29_final
2021-06-30 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2021-06-30_final.stac-item
2021-08-22 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2021-08-22_final
2021-09-28 11:56:21	ga_s2bm_ard_3-2-1_50JML_2021-09-28_final
2021-10-11 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-10-11_final
2021-10-15 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-10-15_final
2021-10-15 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-10-15_final
2021-11-30 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2021-11-30_final
2022-01-06 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2022-01-06_final
2022-01-26 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-01-26_final
2022-01-29 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-01-29_final
2022-02-11 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-11_final
2022-02-11 12:15:14	ga_s2bm_ard_3-2-1_49JGK_2022-02-11_final
2022-02-22 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2022-02-22_final
2022-03-17 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2022-03-17_final
2022-04-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-04-09_final
2022-04-29 12:03:48	ga_s2bm_ard_3-2-1_50KLA_2022-04-29_final
2022-05-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-05-12_final
2022-07-08 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2022-07-08_final
2022-08-07 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2022-08-07_final
2022-08-11 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2022-08-11_final
2022-09-03 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2022-09-03_final.stac-item
2022-10-03 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-10-03_final.stac-item
2022-10-19 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-10-19_final.stac-item
2022-10-30 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2022-10-30_final.stac-item
2022-11-06 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2022-11-06_final.stac-item
2022-11-25 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-11-25_final.stac-item
2022-12-12 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-12-12_final.stac-item
2022-12-15 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-12-15_final.stac-item
2022-12-22 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2022-12-22_final.stac-item
2023-03-16 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-03-16_final.stac-item
2023-05-04 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2023-05-04_final.stac-item
2023-05-14 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final.stac-item
2023-06-10 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2023-06-10_final.stac-item
2023-06-13 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-06-13_final.stac-item
2023-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-17_final.stac-item
2023-07-30 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-30_final.stac-item
2023-09-12 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-09-12_final.stac-item
2023-10-01 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-10-01_final.stac-item
2023-10-19 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-10-19_final.stac-item
2023-12-11 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2023-12-11_final.stac-item
2024-02-25 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2024-02-25_final.stac-item
2024-02-28 12:04:28	ga_s2bm_ard_3-2-1_50KLU_2024-02-28_final.stac-item
2024-03-29 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-03-29_final.stac-item
2024-04-02 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2024-04-02_final.stac-item
2024-04-08 12:04:26	ga_s2bm_ard_3-2-1_49KGP_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