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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGL_2017-08-26_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNK_2017-09-16_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGM_2017-10-25_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-11-25_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-24_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNK_2017-12-25_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-01-03_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-30_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNJ_2018-02-13_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-02-22_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMJ_2018-03-08_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHM_2018-03-31_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-04-10_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGK_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHM_2018-04-20_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HMJ_2018-04-27_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGL_2018-08-21_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-08-21_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-04_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final.stac-item
2018-11-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-09_final.stac-item
2018-12-29 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-12-29_final.stac-item
2019-01-12 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2019-01-12_final.stac-item
2019-02-11 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-02-11_final.stac-item
2019-02-28 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2019-02-28_final.stac-item
2019-03-03 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2019-03-03_final.stac-item
2019-03-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-06_final.stac-item
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final.stac-item
2019-03-30 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2019-03-30_final.stac-item
2019-04-22 11:57:01	ga_s2bm_ard_3-2-1_50HLJ_2019-04-22_final.stac-item
2019-05-02 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-05-02_final.stac-item
2019-05-09 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-05-09_final.stac-item
2019-05-29 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final.stac-item
2019-05-29 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-29_final.stac-item
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final.stac-item
2019-06-15 11:37:14	ga_s2bm_ard_3-2-1_50HPH_2019-06-15_final.stac-item
2019-08-13 12:05:07	ga_s2bm_ard_3-2-1_49JGM_2019-08-13_final.stac-item
2019-10-26 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-10-26_final.stac-item
2020-01-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-01-04_final.stac-item
2020-01-23 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-01-23_final.stac-item
2020-01-27 11:56:23	ga_s2bm_ard_3-2-1_50HNK_2020-01-27_final.stac-item
2020-03-24 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-24_final.stac-item
2020-03-30 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-30_final.stac-item
2020-04-23 11:46:41	ga_s2bm_ard_3-2-1_50HNJ_2020-04-23_final.stac-item
2020-04-29 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-29_final.stac-item
2020-10-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-10-29_final.stac-item
2020-11-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2020-11-22_final.stac-item
2021-02-16 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-16_final.stac-item
2021-02-20 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2021-02-20_final
2021-05-11 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-05-11_final.stac-item
2021-05-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-05-18_final.stac-item
2021-05-21 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-05-21_final.stac-item
2021-06-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-06-13_final.stac-item
2021-06-16 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-16_final.stac-item
2021-06-23 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-06-23_final.stac-item
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final.stac-item
2021-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-17 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-17_final.stac-item
2021-08-02 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2021-08-02_final.stac-item
2021-08-15 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-08-15_final.stac-item
2021-08-15 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final.stac-item
2021-11-11 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-11-11_final
2021-11-24 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-11-24_final.stac-item
2022-01-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-01-16_final.stac-item
2022-02-02 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2022-02-02_final.stac-item
2022-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-03-10_final.stac-item
2022-03-13 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final.stac-item
2022-03-17 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2022-03-17_final.stac-item
2022-04-03 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2022-04-03_final.stac-item
2022-04-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-04-19_final.stac-item
2022-05-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-05-09_final.stac-item
2022-05-13 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-05-13_final.stac-item
2022-07-22 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-22_final.stac-item
2022-09-06 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-09-06_final.stac-item
2022-09-23 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2022-09-23_final.stac-item
2022-11-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-11-08_final.stac-item
2022-12-18 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-12-18_final.stac-item
2023-01-01 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-01-01_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-01-14_final.stac-item
2023-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-02-10_final.stac-item
2023-02-13 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2023-02-13_final
2023-02-13 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-02-13_final
2023-05-05 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-05-05_final
2023-06-03 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-06-03_final
2023-06-07 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-07_final
2023-06-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-06-13_final
2023-07-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-17_final
2023-07-24 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2023-07-24_final
2023-07-26 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2023-07-26_final
2023-09-22 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-09-22_final
2023-10-21 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-21_final
2023-12-20 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-12-20_final
2023-12-24 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-12-24_final
2024-01-16 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final
2024-01-29 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-01-29_final
2024-02-02 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2024-02-02_final
2024-02-08 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-02-08_final
2024-02-11 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2024-02-11_final
2024-02-15 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2024-02-15_final
2024-02-21 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-21_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

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