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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLM_2017-07-11_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2017-09-23_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-30_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMG_2018-08-25_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMK_2018-09-24_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHQ_2018-09-27_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLM_2018-09-27_final
2019-02-07 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-07_final
2019-02-28 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-02-28_final
2019-04-12 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2019-04-12_final
2019-08-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-08-06_final
2019-09-16 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-09-16_final.stac-item
2019-11-18 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2019-11-18_final
2019-12-01 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-01_final
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final
2020-01-30 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2020-01-30_final
2020-04-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-04-02_final
2020-04-02 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-04-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-04-02_final
2020-09-13 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-09-13_final
2020-09-19 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-09-19_final
2020-09-26 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-09-26_final
2020-10-03 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-10-03_final
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final
2020-11-15 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2020-11-15_final
2021-09-05 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-05_final
2021-09-08 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-09-08_final
2021-09-11 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-09-11_final
2021-10-11 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2021-10-11_final
2021-10-12 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-10-12_final
2021-11-10 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-11-10_final
2021-11-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-11-27_final
2021-12-17 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2021-12-17_final
2021-12-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-12-24_final
2022-01-10 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2022-01-10_final
2022-02-02 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-02_final
2022-02-08 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2022-02-08_final
2022-03-07 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2022-03-07_final
2022-03-07 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2022-03-07_final
2022-03-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-03-14_final
2022-04-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-04-19_final
2022-05-06 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-05-06_final
2022-05-06 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-05-06_final
2022-05-26 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-05-26_final
2022-05-26 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-05-26_final
2022-06-05 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2022-06-05_final
2022-06-05 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-06-05_final
2022-07-02 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2022-07-02_final
2022-08-14 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2022-08-14_final
2022-08-14 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2022-08-14_final
2022-08-27 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2022-08-27_final
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 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-10-03 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2022-10-03_final.stac-item
2022-10-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-10-23_final.stac-item
2022-12-19 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-12-19_final.stac-item
2023-01-01 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-01-01_final.stac-item
2023-02-10 11:56:21	ga_s2bm_ard_3-2-1_50JML_2023-02-10_final.stac-item
2023-02-20 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-02-20_final.stac-item
2023-02-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_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 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-03-12_final.stac-item
2023-04-11 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-04-11_final.stac-item
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final.stac-item
2023-05-11 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-05-11_final.stac-item
2023-05-15 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-05-15_final.stac-item
2023-07-04 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-07-04_final.stac-item
2023-07-04 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-07-04_final.stac-item
2023-07-20 11:56:46	ga_s2bm_ard_3-2-1_50HLK_2023-07-20_final.stac-item
2023-08-06 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-08-06_final.stac-item
2023-08-06 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-08-06_final.stac-item
2023-08-26 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-08-26_final.stac-item
2023-09-25 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-09-25_final.stac-item
2023-10-18 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2023-10-18_final.stac-item
2023-10-18 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-10-18_final.stac-item
2023-10-24 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-10-24_final.stac-item
2023-10-25 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-10-25_final.stac-item
2023-11-24 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2023-11-24_final.stac-item
2023-11-27 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-11-27_final.stac-item
2023-12-04 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-12-04_final.stac-item
2023-12-10 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2023-12-10_final.stac-item
2023-12-17 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-12-17_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2023-12-20 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-12-20_final.stac-item
2023-12-24 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-12-24_final.stac-item
2023-12-27 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-12-27_final.stac-item
2024-01-06 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2024-01-06_final.stac-item
2024-01-09 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2024-01-09_final.stac-item
2024-01-23 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2024-01-23_final.stac-item
2024-01-26 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2024-01-26_final.stac-item
2024-02-02 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2024-02-02_final.stac-item
2024-02-05 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-02-05_final.stac-item
2024-02-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2024-02-15_final.stac-item
2024-02-22 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-02-22_final.stac-item
2024-03-16 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-03-16_final.stac-item
2024-03-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-03-20_final.stac-item
2024-04-15 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2024-04-15_final.stac-item
2024-04-15 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2024-04-15_final.stac-item
2024-05-05 11:56:41	ga_s2bm_ard_3-2-1_50HLK_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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