Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KHR_2017-07-04_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMH_2017-10-26_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLJ_2017-11-18_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-11-24_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKN_2017-12-28_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLH_2018-01-24_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPJ_2018-03-02_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2018-05-20_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKN_2018-07-09_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGM_2018-08-21_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLK_2018-10-24_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMK_2018-10-31_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNJ_2018-10-31_final.stac-item
2018-12-10 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2018-12-10_final.stac-item
2019-01-29 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-01-29_final.stac-item
2019-02-11 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-11_final.stac-item
2019-04-12 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2019-04-12_final.stac-item
2019-04-15 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2019-04-15_final.stac-item
2019-05-06 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-06_final.stac-item
2019-08-10 11:56:43	ga_s2bm_ard_3-2-1_50HMK_2019-08-10_final.stac-item
2019-09-19 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2019-09-19_final.stac-item
2019-09-26 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-09-26_final.stac-item
2019-10-19 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2019-10-19_final.stac-item
2019-11-11 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-11-11_final.stac-item
2019-11-24 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2019-11-24_final.stac-item
2019-12-24 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-24_final.stac-item
2019-12-28 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2019-12-28_final.stac-item
2020-01-14 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-01-14_final.stac-item
2020-02-03 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-03_final.stac-item
2020-02-06 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2020-02-06_final.stac-item
2020-02-22 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-02-22_final.stac-item
2020-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-10_final.stac-item
2020-06-12 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-06-12_final.stac-item
2020-07-31 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-07-31_final.stac-item
2020-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-08-10_final.stac-item
2020-08-24 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-08-24_final.stac-item
2020-09-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-29_final.stac-item
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final.stac-item
2021-01-14 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-01-14_final.stac-item
2021-01-17 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final.stac-item
2021-01-21 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-21_final.stac-item
2021-01-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-01-21_final.stac-item
2021-02-17 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2021-02-17_final.stac-item
2021-02-23 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-23_final.stac-item
2021-02-23 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-02-23_final.stac-item
2021-03-25 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-03-25_final.stac-item
2021-03-26 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-03-26_final.stac-item
2021-06-30 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-06-30_final.stac-item
2021-07-04 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-07-04_final.stac-item
2021-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-07_final.stac-item
2021-07-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-07-07_final.stac-item
2021-08-03 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-08-03_final.stac-item
2021-09-15 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-09-15_final.stac-item
2021-09-18 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-18_final.stac-item
2021-09-18 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-09-18_final.stac-item
2021-09-28 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-09-28_final.stac-item
2021-10-15 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-10-15_final.stac-item
2021-11-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-11-27_final.stac-item
2021-12-17 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2021-12-17_final.stac-item
2022-01-02 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2022-01-02_final.stac-item
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final.stac-item
2022-01-10 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-01-10_final.stac-item
2022-02-05 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-05_final.stac-item
2022-02-11 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-11_final.stac-item
2022-06-11 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2022-06-11_final.stac-item
2022-08-10 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-08-10_final.stac-item
2022-08-31 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2022-08-31_final.stac-item
2022-10-16 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2022-10-16_final.stac-item
2022-11-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-11-02_final.stac-item
2022-12-12 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-12-12_final.stac-item
2022-12-15 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-12-15_final.stac-item
2022-12-22 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2022-12-22_final.stac-item
2023-01-24 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-24_final.stac-item
2023-02-07 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-07_final
2023-02-14 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2023-02-14_final
2023-04-25 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-04-25_final
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final
2023-09-02 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-09-02_final
2023-09-21 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-21_final
2023-09-22 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-09-22_final
2023-09-22 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-09-22_final
2023-09-22 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-09-22_final
2023-10-15 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-10-15_final
2023-10-24 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-10-24_final
2023-11-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-17_final
2023-11-20 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-11-20_final
2023-12-27 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2023-12-27_final
2024-01-09 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-09_final
2024-01-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-01-16_final
2024-01-23 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2024-01-23_final
2024-02-21 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-21_final
2024-03-19 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-03-19_final
2024-05-08 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2024-05-08_final
2024-05-08 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-05-08_final
2024-05-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-05-12_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years