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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JCM_2017-08-28_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JKM_2017-10-19_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPH_2017-10-26_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HTE_2017-11-12_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JQR_2017-12-25_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JRT_2017-12-25_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_51HYD_2018-01-05_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HWD_2018-01-15_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYB_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWV_2018-01-31_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JVF_2018-02-17_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JXG_2018-02-17_final
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52JCL_2018-02-21_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52JCR_2018-03-03_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLH_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMH_2018-03-28_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52HBK_2018-04-15_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JES_2018-05-02_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HWE_2018-05-25_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51JYG_2018-05-25_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVP_2018-05-31_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JXL_2018-06-07_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KXS_2018-07-30_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HTC_2018-10-15_final
2018-12-23 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2018-12-23_final
2019-01-06 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2019-01-06_final
2019-01-10 11:16:43	ga_s2bm_ard_3-2-1_51HYD_2019-01-10_final
2019-02-15 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2019-02-15_final
2019-03-29 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2019-03-29_final
2019-04-12 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2019-04-12_final
2019-06-08 11:46:16	ga_s2bm_ard_3-2-1_50JNM_2019-06-08_final
2019-06-12 11:23:58	ga_s2bm_ard_3-2-1_51KZQ_2019-06-12_final
2019-07-25 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-07-25_final
2019-09-30 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2019-09-30_final
2019-10-19 11:54:15	ga_s2bm_ard_3-2-1_50KQU_2019-10-19_final
2019-12-22 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2019-12-22_final
2020-01-08 11:24:53	ga_s2bm_ard_3-2-1_51JWL_2020-01-08_final
2020-03-02 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2020-03-02_final
2020-04-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2020-04-16_final
2020-07-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-07-18_final
2020-07-20 11:04:49	ga_s2bm_ard_3-2-1_52JER_2020-07-20_final
2020-08-11 11:46:23	ga_s2bm_ard_3-2-1_50JPL_2020-08-11_final
2020-08-11 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-11_final
2020-08-17 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-08-17_final
2020-09-07 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-09-07_final
2020-09-09 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2020-09-09_final
2020-10-04 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2020-10-04_final
2020-11-10 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2020-11-10_final
2020-12-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2020-12-06_final
2021-01-12 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2021-01-12_final
2021-01-12 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2021-01-12_final
2021-02-03 12:04:13	ga_s2bm_ard_3-2-1_50KKV_2021-02-03_final
2021-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-02-13_final
2021-03-09 11:44:40	ga_s2bm_ard_3-2-1_51JUM_2021-03-09_final
2021-04-11 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2021-04-11_final
2021-05-04 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-05-04_final
2021-07-04 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2021-07-04_final
2021-07-04 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2021-07-04_final
2021-07-04 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-07-04_final
2021-07-05 11:05:06	ga_s2bm_ard_3-2-1_52JDQ_2021-07-05_final
2021-07-27 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-27_final
2021-09-26 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2021-09-26_final
2021-10-02 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2021-10-02_final
2021-10-21 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-10-21_final
2021-11-08 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2021-11-08_final
2021-11-21 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2021-11-21_final
2021-12-21 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2021-12-21_final
2022-03-08 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2022-03-08_final
2022-03-18 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2022-03-18_final
2022-03-21 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2022-03-21_final
2022-04-27 11:26:55	ga_s2bm_ard_3-2-1_51HUC_2022-04-27_final
2022-05-03 11:46:07	ga_s2bm_ard_3-2-1_50JMM_2022-05-03_final
2022-05-29 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-05-29_final
2022-05-30 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-05-30_final
2022-06-05 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2022-06-05_final
2022-06-16 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2022-06-16_final
2022-06-29 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2022-06-29_final
2022-07-05 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2022-07-05_final
2022-07-29 11:35:13	ga_s2bm_ard_3-2-1_51JWK_2022-07-29_final
2022-09-13 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2022-09-13_final
2022-10-10 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-10-10_final
2022-10-11 11:14:36	ga_s2bm_ard_3-2-1_52JBS_2022-10-11_final
2022-10-20 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-10-20_final
2022-10-26 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-10-26_final
2022-12-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-12-26_final
2023-01-28 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2023-01-28_final
2023-02-14 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2023-02-14_final
2023-03-03 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2023-03-03_final
2023-03-27 11:05:55	ga_s2bm_ard_3-2-1_52JCM_2023-03-27_final
2023-05-18 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2023-05-18_final
2023-05-24 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-24_final
2023-05-31 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-05-31_final
2023-08-02 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-08-02_final
2023-08-16 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2023-08-16_final
2023-08-23 11:34:48	ga_s2bm_ard_3-2-1_51JVM_2023-08-23_final
2023-09-15 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2023-09-15_final
2024-01-13 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2024-01-13_final
2024-02-06 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2024-02-06_final
2024-03-16 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-03-16_final
2024-04-03 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2024-04-03_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

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