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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2017-07-01_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JLL_2017-09-19_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-09-22_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKT_2017-09-22_final
2017-09-25 12:13:30	ga_s2bm_ard_3-2-1_49KHR_2017-09-25_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKN_2017-11-11_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-20_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-01-20_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-30_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQH_2018-01-31_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPJ_2018-03-22_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50HLK_2018-04-17_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HQH_2018-06-10_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPK_2018-07-30_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMK_2018-08-02_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPK_2018-08-22_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-09-11_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNJ_2018-09-21_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HMH_2018-10-21_final
2018-11-19 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-11-19_final
2018-12-06 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2018-12-06_final
2018-12-26 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2018-12-26_final
2019-01-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-01-22_final
2019-02-21 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-21_final
2019-05-25 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-25_final
2019-07-14 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-07-14_final
2019-07-18 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-18_final
2019-10-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2019-10-06_final.stac-item
2019-12-08 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2019-12-08_final
2019-12-22 11:36:42	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final
2020-01-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2020-01-07_final
2020-01-10 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-01-10_final
2020-01-17 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-01-17_final
2020-01-20 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2020-01-20_final
2020-01-31 11:36:59	ga_s2bm_ard_3-2-1_50HPH_2020-01-31_final
2020-02-23 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2020-02-23_final
2020-04-29 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-04-29_final
2020-05-06 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-05-06_final
2020-05-16 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2020-05-16_final
2020-05-29 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-05-29_final
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final
2020-07-28 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-07-28_final
2020-07-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-28_final
2020-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-10_final
2020-09-26 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-26_final
2020-10-07 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-07_final
2020-11-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-11-08_final
2020-11-09 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-11-09_final
2020-12-16 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2020-12-16_final
2020-12-26 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2020-12-26_final
2021-02-10 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-02-10_final
2021-03-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-03-15_final
2021-04-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final
2021-04-15 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-04-15_final
2021-05-17 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final
2021-05-18 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-05-18_final
2021-05-31 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-05-31_final
2021-07-06 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-06_final
2021-09-01 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-09-01_final
2021-11-04 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-11-04_final.stac-item
2021-12-17 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2021-12-17_final
2021-12-21 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-12-21_final
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final
2022-01-09 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-01-09_final
2022-01-29 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2022-01-29_final
2022-02-18 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2022-02-18_final
2022-04-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-04-09_final
2022-05-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-05-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-05-09_final
2022-07-05 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-05_final
2022-07-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-22_final
2022-07-31 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-07-31_final
2022-08-07 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-08-07_final
2022-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final
2022-10-30 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-10-30_final.stac-item
2022-12-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-12-02_final.stac-item
2022-12-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-12-29_final.stac-item
2023-01-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-01-04_final.stac-item
2023-02-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-02-27_final.stac-item
2023-03-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-03-09_final.stac-item
2023-03-15 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-03-15_final.stac-item
2023-04-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-04-07_final.stac-item
2023-04-24 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-04-24_final.stac-item
2023-05-15 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-05-15_final.stac-item
2023-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-24_final.stac-item
2023-08-13 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2023-08-13_final.stac-item
2023-09-01 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-09-01_final.stac-item
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final.stac-item
2023-11-01 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-11-01_final.stac-item
2023-11-20 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-20_final.stac-item
2024-03-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-03_final.stac-item
2024-03-10 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2024-03-10_final.stac-item
2024-04-09 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-04-09_final.stac-item
2024-04-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-04-12_final.stac-item
2024-04-18 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-04-18_final.stac-item
2024-04-28 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-04-28_final.stac-item
2024-05-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-05-05_final.stac-item
2024-05-12 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-05-12_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

All years