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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNJ_2017-09-16_final
2017-10-15 12:13:29	ga_s2bm_ard_3-2-1_49KHR_2017-10-15_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-05-23_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGL_2018-09-20_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLK_2018-09-24_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KGQ_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHQ_2018-10-17_final
2018-11-16 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-16_final
2019-02-05 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2019-02-05_final
2019-02-05 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2019-02-05_final
2019-04-25 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-04-25_final
2019-06-14 12:04:25	ga_s2bm_ard_3-2-1_49KGQ_2019-06-14_final
2019-06-24 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2019-06-24_final
2019-09-02 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-09-02_final
2019-09-15 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-09-15_final
2019-10-06 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-06_final
2019-10-15 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-15_final
2019-12-08 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2019-12-08_final
2020-02-02 12:14:24	ga_s2bm_ard_3-2-1_49JHN_2020-02-02_final
2020-04-22 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-04-22_final
2020-04-29 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-04-29_final
2020-07-21 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-07-21_final
2020-09-03 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-09-03_final
2020-09-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-09-06_final
2020-09-06 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-09-06_final
2020-09-10 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-09-10_final
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-02-13_final
2021-02-27 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-02-27_final
2021-05-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-05-14_final
2021-09-28 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-09-28_final
2021-10-15 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-10-15_final
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final
2021-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-11-27_final
2021-11-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-11-30_final
2021-12-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2021-12-13_final
2021-12-24 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2021-12-24_final
2021-12-24 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-12-24_final
2022-01-13 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2022-01-13_final
2022-01-23 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-01-23_final
2022-01-29 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-01-29_final
2022-01-29 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-01-29_final
2022-02-02 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-02-02_final
2022-02-22 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-02-22_final
2022-03-11 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-03-11_final
2022-03-24 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2022-03-24_final
2022-04-16 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2022-04-16_final
2022-05-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-05-06_final
2022-05-26 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2022-05-26_final
2022-06-11 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-06-11_final
2022-06-25 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-06-25_final
2022-07-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-07-08_final
2022-07-12 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2022-07-12_final
2022-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-25_final
2022-08-14 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2022-08-14_final.stac-item
2022-10-03 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-10-03_final.stac-item
2022-10-19 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-10-19_final.stac-item
2022-10-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-26_final.stac-item
2022-11-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-11-02_final.stac-item
2022-11-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-11-08_final.stac-item
2022-11-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-29_final.stac-item
2022-11-29 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-11-29_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2022-12-22 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2022-12-22_final.stac-item
2022-12-26 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2022-12-26_final.stac-item
2022-12-29 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-12-29_final.stac-item
2023-01-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-08_final.stac-item
2023-01-17 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-01-17_final.stac-item
2023-01-18 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2023-01-18_final.stac-item
2023-02-03 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-02-03_final.stac-item
2023-02-10 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-02-10_final.stac-item
2023-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2023-02-13_final.stac-item
2023-03-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2023-03-09_final.stac-item
2023-04-15 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-04-15_final.stac-item
2023-04-18 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-18_final.stac-item
2023-04-21 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-04-21_final.stac-item
2023-04-25 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-04-25_final.stac-item
2023-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2023-04-28_final.stac-item
2023-05-18 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-05-18_final.stac-item
2023-05-28 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-05-28_final.stac-item
2023-06-27 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-27_final.stac-item
2023-06-30 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-06-30_final.stac-item
2023-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-06-30_final.stac-item
2023-07-14 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-07-14_final.stac-item
2023-07-17 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-07-17_final.stac-item
2023-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-07-20_final.stac-item
2023-08-22 12:05:26	ga_s2bm_ard_3-2-1_49JGL_2023-08-22_final.stac-item
2023-09-08 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-09-08_final.stac-item
2023-09-18 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2023-09-18_final.stac-item
2023-09-24 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-24_final.stac-item
2023-09-25 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2023-09-25_final.stac-item
2023-10-15 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-10-15_final.stac-item
2023-11-11 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-11-11_final.stac-item
2023-11-30 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-11-30_final.stac-item
2023-12-01 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2023-12-01_final.stac-item
2024-01-22 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2024-01-22_final.stac-item
2024-02-09 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2024-02-09_final.stac-item
2024-03-23 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2024-03-23_final.stac-item
2024-05-12 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-05-12_final.stac-item
2024-05-15 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2024-05-15_final.stac-item
2024-05-19 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2024-05-19_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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