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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGL_2017-07-24_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNH_2017-10-06_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-11-21_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-11-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPG_2018-01-24_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLJ_2018-01-27_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNG_2018-02-03_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HPG_2018-02-03_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-12_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HNG_2018-03-12_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMK_2018-04-14_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNK_2018-05-04_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-06-12_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-06-19_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNG_2018-07-03_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HLG_2018-07-23_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-08-08_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HMH_2018-10-21_final
2018-11-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2018-11-06_final.stac-item
2018-11-07 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2018-11-07_final.stac-item
2018-12-20 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-12-20_final
2019-01-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-01-05_final
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final
2019-01-25 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-01-25_final
2019-02-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-02-14_final
2019-03-13 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2019-03-13_final
2019-04-09 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2019-04-09_final.stac-item
2019-04-25 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-04-25_final
2019-06-21 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-06-21_final
2019-08-30 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2019-08-30_final
2019-09-26 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-09-26_final
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-01_final.stac-item
2019-12-31 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-31_final
2020-01-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-13_final
2020-03-17 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-03-17_final
2020-04-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-04-16_final
2020-06-01 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-06-01_final
2020-10-20 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-20_final
2020-10-30 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-10-30_final
2020-10-30 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-30_final
2020-12-05 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2020-12-05_final
2020-12-26 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-12-26_final.stac-item
2021-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-01-04_final.stac-item
2021-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2021-02-17_final
2021-02-17 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-02-17_final
2021-02-17 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-02-17_final.stac-item
2021-02-20 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2021-02-20_final
2021-03-02 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-02_final
2021-04-18 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-04-18_final.stac-item
2021-04-25 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-04-25_final.stac-item
2021-04-28 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-28_final.stac-item
2021-05-28 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-05-28_final
2021-05-28 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-05-28_final
2021-05-28 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-05-28_final.stac-item
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final.stac-item
2021-06-17 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-17_final
2021-06-17 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-06-17_final.stac-item
2021-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-06-24_final
2021-06-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-26_final
2021-07-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-07-03_final
2021-07-10 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-10_final
2021-07-30 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-07-30_final
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final
2021-10-22 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-10-22_final.stac-item
2021-11-13 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-11-13_final
2021-12-01 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-01_final
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final
2021-12-04 11:47:02	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final
2021-12-13 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-12-13_final
2022-02-02 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-02_final
2022-02-02 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2022-02-02_final.stac-item
2022-02-08 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2022-02-08_final.stac-item
2022-09-06 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-09-06_final.stac-item
2022-09-16 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-16_final.stac-item
2022-11-09 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-11-09_final.stac-item
2022-11-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-12-09 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-12-09_final.stac-item
2022-12-12 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-12-12_final.stac-item
2023-01-11 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-01-11_final.stac-item
2023-01-14 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-01-14_final.stac-item
2023-01-18 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-18_final.stac-item
2023-02-03 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-02-03_final.stac-item
2023-02-27 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-02-27_final.stac-item
2023-06-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-06-26_final.stac-item
2023-08-12 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-08-12_final.stac-item
2023-09-11 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-09-11_final.stac-item
2023-09-21 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-21_final.stac-item
2023-10-25 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-10-25_final.stac-item
2023-11-07 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-11-07_final.stac-item
2023-12-24 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2023-12-24_final.stac-item
2024-01-19 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-01-19_final.stac-item
2024-01-22 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2024-01-22_final.stac-item
2024-01-29 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-29_final.stac-item
2024-01-29 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2024-01-29_final.stac-item
2024-03-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-03-23_final.stac-item
2024-05-08 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-05-08_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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