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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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 11:32:58	ga_s2bm_ard_3-2-1_50HPH_2017-07-05_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JKN_2017-07-31_final
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HLJ_2017-07-31_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKR_2017-08-13_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KDU_2017-09-27_final
2017-10-14 11:01:57	ga_s2bm_ard_3-2-1_52KEV_2017-10-14_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51LXC_2017-11-12_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUC_2017-11-29_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52KCD_2017-12-19_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JZN_2017-12-29_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LZD_2018-01-11_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KBB_2018-01-28_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUN_2018-02-20_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JWN_2018-02-20_final
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_52JGL_2018-02-25_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HPK_2018-03-15_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKN_2018-03-31_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNP_2018-07-03_final
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_52JGM_2018-08-17_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HNJ_2018-09-01_final
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51HYD_2018-09-02_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JNN_2018-10-04_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXL_2018-10-25_final
2018-11-10 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2018-11-10_final
2018-11-24 11:26:14	ga_s2bm_ard_3-2-1_51JUF_2018-11-24_final
2018-12-01 11:13:40	ga_s2bm_ard_3-2-1_52KEV_2018-12-01_final
2019-01-05 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2019-01-05_final
2019-01-26 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2019-01-26_final
2019-04-13 11:24:49	ga_s2bm_ard_3-2-1_51JWM_2019-04-13_final
2019-04-16 11:36:37	ga_s2bm_ard_3-2-1_51HTE_2019-04-16_final
2019-04-19 11:46:36	ga_s2bm_ard_3-2-1_50HQK_2019-04-19_final
2019-06-05 11:31:56	ga_s2bm_ard_3-2-1_51LZC_2019-06-05_final
2019-07-12 11:24:41	ga_s2bm_ard_3-2-1_51JZM_2019-07-12_final
2019-08-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2019-08-20_final
2019-09-26 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-09-26_final
2019-10-10 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2019-10-10_final
2019-10-20 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2019-10-20_final
2019-12-25 11:46:21	ga_s2bm_ard_3-2-1_50JML_2019-12-25_final
2020-01-18 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2020-01-18_final
2020-02-14 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2020-02-14_final
2020-02-20 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2020-02-20_final
2020-04-27 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2020-04-27_final
2020-07-12 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2020-07-12_final
2020-07-25 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2020-07-25_final
2020-09-18 11:05:10	ga_s2bm_ard_3-2-1_52JCQ_2020-09-18_final
2020-12-10 11:14:06	ga_s2bm_ard_3-2-1_51KZP_2020-12-10_final
2021-01-12 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2021-01-12_final
2021-06-18 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2021-06-18_final
2021-07-17 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-17_final
2021-07-24 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2021-07-24_final
2021-07-27 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2021-07-27_final
2021-08-24 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-08-24_final
2021-11-11 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-11-11_final
2021-11-18 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2021-11-18_final
2021-11-25 11:14:27	ga_s2bm_ard_3-2-1_52JDS_2021-11-25_final
2021-12-11 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2021-12-11_final
2021-12-15 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2021-12-15_final
2022-01-03 11:42:05	ga_s2bm_ard_3-2-1_51KWB_2022-01-03_final
2022-01-28 10:54:20	ga_s2bm_ard_3-2-1_52JHS_2022-01-28_final
2022-01-28 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2022-01-28_final
2022-02-12 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2022-02-12_final
2022-02-17 10:55:54	ga_s2bm_ard_3-2-1_52JFL_2022-02-17_final
2022-03-28 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2022-03-28_final
2022-04-03 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-04-03_final
2022-04-03 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2022-04-03_final
2022-04-04 11:15:18	ga_s2bm_ard_3-2-1_52JBP_2022-04-04_final
2022-05-04 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2022-05-04_final
2022-05-10 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-05-10_final
2022-05-13 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-05-13_final
2022-06-26 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2022-06-26_final
2022-07-06 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2022-07-06_final
2022-08-08 11:34:33	ga_s2bm_ard_3-2-1_51JVN_2022-08-08_final
2022-08-11 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2022-08-11_final
2022-09-04 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2022-09-04_final
2022-09-10 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2022-09-10_final
2022-10-01 11:13:39	ga_s2bm_ard_3-2-1_52KBA_2022-10-01_final
2022-10-03 13:31:33	ga_s2bm_ard_3-2-1_46LHN_2022-10-03_interim
2022-11-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2022-11-03_final
2022-11-09 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2022-11-09_final
2022-11-17 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2022-11-17_final
2022-11-26 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2022-11-26_final
2023-01-02 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2023-01-02_final
2023-03-24 10:56:02	ga_s2bm_ard_3-2-1_52JFL_2023-03-24_final
2023-05-01 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-05-01_final
2023-05-09 11:15:24	ga_s2bm_ard_3-2-1_52JBP_2023-05-09_final
2023-06-21 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-21_final
2023-07-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-07_final
2023-07-20 11:56:20	ga_s2bm_ard_3-2-1_50JKM_2023-07-20_final
2023-08-02 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-08-02_final
2023-08-05 12:14:12	ga_s2bm_ard_3-2-1_50KKV_2023-08-05_final
2023-09-15 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-09-15_final
2023-11-04 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2023-11-04_final
2023-11-28 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2023-11-28_final
2024-01-01 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2024-01-01_final
2024-02-05 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2024-02-05_final
2024-02-29 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2024-02-29_final
2024-03-07 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2024-03-07_final
2024-03-14 11:15:03	ga_s2bm_ard_3-2-1_51JYK_2024-03-14_final
2024-04-19 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2024-04-19_final
2024-05-28 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-05-28_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

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