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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGQ_2017-09-15_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLH_2018-05-17_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-05-20_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLH_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMK_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLL_2018-09-24_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHQ_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-09-27_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HMH_2018-10-21_final
2019-07-14 12:05:53	ga_s2bm_ard_3-2-1_49JGJ_2019-07-14_final
2019-08-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-08-06_final
2019-09-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-09-13_final
2019-09-16 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-09-16_final
2019-09-25 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-09-25_final
2020-04-02 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-04-02 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2020-04-02_final
2020-05-13 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2020-05-13_final
2020-05-13 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2020-05-13_final
2020-05-13 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2020-05-13_final
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final
2020-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-10_final
2020-08-14 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-08-14_final
2020-09-13 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-09-13_final
2020-09-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-09-20_final
2020-10-07 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-07_final
2020-11-15 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2020-11-15_final
2021-01-28 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-01-28_final
2021-02-27 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-02-27_final
2021-09-18 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-09-18_final
2021-09-25 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-09-25_final
2021-10-08 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-10-08_final
2021-10-15 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-10-15_final
2021-10-18 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-10-18_final
2021-11-27 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-11-27_final
2021-12-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-12-24_final
2022-01-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-01-06_final
2022-01-13 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2022-01-13_final
2022-01-23 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2022-01-23_final
2022-01-26 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-01-26_final
2022-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2022-02-22_final
2022-03-17 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-03-17_final
2022-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-03-24_final
2022-04-06 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2022-04-06_final
2022-04-16 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2022-04-16_final
2022-04-23 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-04-23_final
2022-04-26 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-04-26_final
2022-05-06 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2022-05-06_final
2022-05-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-05-16_final
2022-06-02 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-06-02_final
2022-06-05 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-06-05_final
2022-06-05 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-06-05_final
2022-07-08 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-08_final
2022-08-14 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2022-08-14_final
2022-08-21 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-21_final
2022-09-10 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2022-09-10_final.stac-item
2022-09-13 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2022-09-13_final.stac-item
2022-09-23 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2022-09-23_final.stac-item
2022-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-09-23_final.stac-item
2022-09-30 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-09-30_final.stac-item
2022-10-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-10-23_final.stac-item
2023-02-20 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2023-02-20_final.stac-item
2023-02-27 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-02-27_final.stac-item
2023-03-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-03-06_final.stac-item
2023-03-12 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-03-12_final.stac-item
2023-03-22 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-03-22_final.stac-item
2023-04-11 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-04-11_final.stac-item
2023-04-11 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-04-11_final.stac-item
2023-05-01 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-05-01_final.stac-item
2023-05-11 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-05-11_final.stac-item
2023-06-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-10_final.stac-item
2023-06-20 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-06-20_final.stac-item
2023-06-20 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-06-20_final.stac-item
2023-06-27 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-27_final.stac-item
2023-06-27 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-27_final.stac-item
2023-06-30 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2023-06-30_final.stac-item
2023-07-04 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-04_final.stac-item
2023-07-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-07-17_final.stac-item
2023-07-20 11:56:46	ga_s2bm_ard_3-2-1_50HLK_2023-07-20_final.stac-item
2023-07-23 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2023-07-23_final.stac-item
2023-08-16 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-08-16_final.stac-item
2023-08-19 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-08-19_final.stac-item
2023-09-18 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2023-09-18_final.stac-item
2023-09-25 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-09-25_final.stac-item
2023-10-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2023-10-05_final.stac-item
2023-10-15 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-10-15_final.stac-item
2023-11-04 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-11-04_final.stac-item
2023-11-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-30_final.stac-item
2023-12-04 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-12-04_final.stac-item
2023-12-07 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-12-07_final.stac-item
2023-12-17 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2023-12-17_final.stac-item
2023-12-24 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-12-24_final.stac-item
2024-01-20 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-01-20_final.stac-item
2024-01-23 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2024-01-23_final.stac-item
2024-01-30 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2024-01-30_final.stac-item
2024-02-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2024-02-15_final.stac-item
2024-02-29 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2024-02-29_final.stac-item
2024-03-16 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-03-16_final.stac-item
2024-03-26 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2024-03-26_final.stac-item
2024-04-12 11:46:59	ga_s2bm_ard_3-2-1_50HNH_2024-04-12_final.stac-item
2024-05-05 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2024-05-05_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

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