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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNK_2017-07-18_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2017-09-12_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNM_2017-12-18_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HVC_2018-01-08_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50KQC_2018-02-03_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KTU_2018-02-13_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPG_2018-03-25_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HNG_2018-04-11_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JPL_2018-04-21_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQG_2018-05-07_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_50KKB_2018-06-12_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_50KRB_2018-06-23_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JPN_2018-07-03_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGJ_2018-07-09_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JNQ_2018-07-16_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGP_2018-07-22_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HLG_2018-08-02_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51HWC_2018-08-03_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMG_2018-08-05_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPK_2018-08-22_final
2018-12-23 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2018-12-23_final
2019-03-24 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2019-03-24_final
2019-04-02 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2019-04-02_final
2019-04-19 11:45:20	ga_s2bm_ard_3-2-1_51JTK_2019-04-19_final
2019-05-19 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-19_final
2019-05-26 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-26_final
2019-06-14 12:03:27	ga_s2bm_ard_3-2-1_50KNC_2019-06-14_final
2019-07-28 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2019-07-28_final
2019-09-23 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2019-09-23_final
2019-10-20 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2019-10-20_final
2019-10-29 11:56:23	ga_s2bm_ard_3-2-1_50JML_2019-10-29_final
2019-11-12 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2019-11-12_final
2019-11-18 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2019-11-18_final
2019-11-22 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2019-11-22_final
2019-12-25 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2019-12-25_final
2020-02-19 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2020-02-19_final
2020-04-03 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2020-04-03_final
2020-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-04-06_final
2020-06-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2020-06-22_final
2020-07-02 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2020-07-02_final
2020-07-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-07-05_final
2020-08-07 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-08-07_final
2020-08-17 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-08-17_final
2020-10-04 11:24:44	ga_s2bm_ard_3-2-1_51JXM_2020-10-04_final
2020-10-14 11:27:03	ga_s2bm_ard_3-2-1_51HWC_2020-10-14_final
2020-12-09 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2020-12-09_final
2020-12-29 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-12-29_final
2021-04-15 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-04-15_final
2021-04-25 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2021-04-25_final
2021-04-25 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-04-25_final
2021-06-14 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2021-06-14_final
2021-06-24 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2021-06-24_final
2021-07-10 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2021-07-10_final
2021-07-13 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-13_final
2021-08-02 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2021-08-02_final
2021-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-08-05_final
2021-08-20 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-08-20_final
2021-09-01 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-09-01_final
2021-10-08 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-10-08_final
2021-12-05 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-12-05_final
2021-12-07 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2021-12-07_final
2021-12-11 11:36:26	ga_s2bm_ard_3-2-1_51HTE_2021-12-11_final
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2021-12-30_final
2022-01-03 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-01-03_final
2022-01-26 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-01-26_final
2022-01-27 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2022-01-27_final
2022-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final
2022-03-04 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2022-03-04_final
2022-04-02 12:13:45	ga_s2bm_ard_3-2-1_50KKA_2022-04-02_final
2022-05-17 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2022-05-17_final
2022-06-18 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2022-06-18_final
2022-06-28 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-06-28_final
2022-06-29 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2022-06-29_final
2022-09-19 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2022-09-19_final
2022-10-13 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-10-13_final
2022-10-29 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-29_final
2022-10-30 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2022-10-30_final
2022-11-15 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-11-15_final
2023-01-21 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2023-01-21_final
2023-01-25 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-25_final
2023-02-10 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2023-02-10_final
2023-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2023-02-13_final
2023-02-17 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2023-02-17_final
2023-02-17 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-02-17_final
2023-04-01 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-04-01_final
2023-04-08 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-04-08_final
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-06-13_final
2023-08-13 11:35:18	ga_s2bm_ard_3-2-1_51JVK_2023-08-13_final
2023-09-11 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-09-11_final
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final
2023-11-07 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-11-07_final
2023-12-27 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-12-27_final
2024-01-02 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-01-02_final
2024-01-26 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2024-01-26_final
2024-02-13 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2024-02-13_final
2024-02-15 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2024-02-15_final
2024-02-28 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2024-02-28_final
2024-04-29 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-29_final
2024-05-22 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-05-22_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

All years