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
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KWA_2017-07-05_final
2017-10-23 11:35:50	ga_s2bm_ard_3-2-1_50JQL_2017-10-23_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51HUC_2017-12-29_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JLN_2018-03-01_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-03-11_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLR_2018-04-17_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-04-23_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KVS_2018-04-24_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51JXJ_2018-05-05_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KNA_2018-06-09_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNN_2018-07-03_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPK_2018-07-30_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HXD_2018-08-06_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKN_2018-09-07_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KVA_2018-09-28_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JXK_2018-10-05_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-10-27_final
2019-02-28 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2019-02-28_final
2019-03-03 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2019-03-03_final
2019-03-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-03-26_final
2019-05-25 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-25_final
2019-06-11 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-06-11_final
2019-06-11 11:56:12	ga_s2bm_ard_3-2-1_50JNM_2019-06-11_final
2019-06-28 11:46:28	ga_s2bm_ard_3-2-1_50JPL_2019-06-28_final
2019-07-26 11:06:45	ga_s2bm_ard_3-2-1_51HYD_2019-07-26_final
2019-09-29 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-09-29_final
2019-12-09 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2019-12-09_final
2019-12-22 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2019-12-22_final
2019-12-29 11:25:23	ga_s2bm_ard_3-2-1_51JWJ_2019-12-29_final
2020-01-15 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2020-01-15_final
2020-01-24 11:44:20	ga_s2bm_ard_3-2-1_51JUN_2020-01-24_final
2020-03-27 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-03-27_final.stac-item
2020-03-31 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-03-31_final.stac-item
2020-04-14 11:14:25	ga_s2bm_ard_3-2-1_51JYN_2020-04-14_final
2020-04-20 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2020-04-20_final
2020-04-24 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2020-04-24_final
2020-05-17 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2020-05-17_final
2020-06-01 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-06-01_final
2020-06-19 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2020-06-19_final
2020-08-01 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-08-01_final
2020-09-16 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-09-16_final
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-09-29_final
2020-10-07 11:34:29	ga_s2bm_ard_3-2-1_51JWN_2020-10-07_final
2020-10-23 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-10-23_final
2021-01-04 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-01-04_final
2021-01-08 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-01-08_final.stac-item
2021-01-28 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-01-28_final
2021-03-03 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2021-03-03_final
2021-03-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-12_final
2021-05-22 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2021-05-22_final
2021-06-14 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2021-06-14_final
2021-07-07 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2021-07-07_final
2021-07-21 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2021-07-21_final
2021-07-27 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2021-07-27_final
2021-08-03 11:35:21	ga_s2bm_ard_3-2-1_51JWJ_2021-08-03_final
2021-08-12 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-08-12_final
2021-08-22 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-08-22_final
2021-09-08 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2021-09-08_final
2021-09-15 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-15_final
2021-12-30 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2021-12-30_final
2022-01-20 11:36:38	ga_s2bm_ard_3-2-1_51HUD_2022-01-20_final
2022-02-08 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2022-02-08_final
2022-04-10 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2022-04-10_final
2022-04-20 11:35:51	ga_s2bm_ard_3-2-1_51JVG_2022-04-20_final
2022-04-26 11:56:16	ga_s2bm_ard_3-2-1_50JML_2022-04-26_final
2022-04-29 12:03:52	ga_s2bm_ard_3-2-1_49KHR_2022-04-29_final
2022-06-18 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2022-06-18_final
2022-07-15 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2022-07-15_final
2022-07-16 11:25:25	ga_s2bm_ard_3-2-1_51JYJ_2022-07-16_final
2022-09-27 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2022-09-27_final.stac-item
2022-10-04 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2022-10-04_final.stac-item
2022-10-14 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2022-10-14_final.stac-item
2022-10-17 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2022-10-17_final.stac-item
2022-11-03 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2022-11-03_final.stac-item
2022-11-23 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2022-11-23_final.stac-item
2022-11-26 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2022-11-26_final.stac-item
2022-12-15 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-12-15_final.stac-item
2022-12-25 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-12-25_final.stac-item
2023-02-20 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2023-02-20_final.stac-item
2023-04-08 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-04-08_final.stac-item
2023-04-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-04-14_final.stac-item
2023-04-18 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2023-04-18_final.stac-item
2023-04-24 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-04-24_final.stac-item
2023-05-05 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2023-05-05_final.stac-item
2023-05-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-05-08_final.stac-item
2023-06-06 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-06_final.stac-item
2023-06-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-06-07_final.stac-item
2023-06-21 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2023-06-21_final.stac-item
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-08-02_final.stac-item
2023-08-22 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-08-22_final.stac-item
2023-08-30 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2023-08-30_final.stac-item
2023-09-05 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2023-09-05_final.stac-item
2023-10-18 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-10-18_final.stac-item
2023-10-22 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-10-22_final.stac-item
2023-11-03 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-11-03_final.stac-item
2023-11-04 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-11-04_final.stac-item
2023-12-01 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2023-12-01_final.stac-item
2023-12-21 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2023-12-21_final.stac-item
2023-12-24 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2023-12-24_final.stac-item
2024-04-09 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-04-09_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