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
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLT_2017-10-12_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMK_2017-11-15_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-20_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-01-23_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JQS_2018-02-03_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2018-02-10_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLT_2018-03-11_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLN_2018-03-28_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHQ_2018-07-19_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-23_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KLC_2018-08-08_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLH_2018-09-04_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPJ_2018-09-28_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-09-30_final.stac-item
2018-12-10 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2018-12-10_final.stac-item
2019-02-14 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2019-02-14_final.stac-item
2019-03-30 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2019-03-30_final.stac-item
2019-04-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2019-04-06_final.stac-item
2019-05-09 11:46:27	ga_s2bm_ard_3-2-1_50JPL_2019-05-09_final.stac-item
2019-05-25 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-05-25_final.stac-item
2019-06-14 12:04:20	ga_s2bm_ard_3-2-1_50KKV_2019-06-14_final.stac-item
2019-06-21 11:55:35	ga_s2bm_ard_3-2-1_50JLQ_2019-06-21_final.stac-item
2019-06-24 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-24_final.stac-item
2019-07-07 12:14:36	ga_s2bm_ard_3-2-1_49KGP_2019-07-07_final.stac-item
2019-10-16 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-10-16_final.stac-item
2019-10-29 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-10-29_final.stac-item
2019-11-14 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2019-11-14_final.stac-item
2019-12-15 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2019-12-15_final.stac-item
2020-01-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-01-07_final.stac-item
2020-01-20 12:05:45	ga_s2bm_ard_3-2-1_50JLN_2020-01-20_final.stac-item
2020-02-23 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-02-23_final.stac-item
2020-05-06 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2020-05-06_final.stac-item
2020-05-29 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2020-05-29_final.stac-item
2020-06-02 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-06-02_final.stac-item
2020-06-18 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2020-06-18_final.stac-item
2020-07-01 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-01_final.stac-item
2020-07-25 11:56:22	ga_s2bm_ard_3-2-1_50JML_2020-07-25_final.stac-item
2020-08-04 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-08-04_final.stac-item
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final.stac-item
2020-10-03 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-10-03_final.stac-item
2020-10-06 12:03:30	ga_s2bm_ard_3-2-1_50KLC_2020-10-06_final.stac-item
2020-10-23 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2020-10-23_final.stac-item
2020-10-30 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-10-30_final.stac-item
2020-12-25 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-12-25_final.stac-item
2021-01-08 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-01-08_final.stac-item
2021-02-13 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2021-02-13_final.stac-item
2021-03-02 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2021-03-02_final.stac-item
2021-03-25 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-03-25_final.stac-item
2021-04-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2021-04-14_final.stac-item
2021-06-04 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-06-04_final.stac-item
2021-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-07_final.stac-item
2021-07-07 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2021-07-07_final.stac-item
2021-07-13 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-07-13_final.stac-item
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2021-07-23_final.stac-item
2021-08-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-08-22_final.stac-item
2021-10-11 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-10-11_final.stac-item
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final.stac-item
2021-11-10 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-11-10_final.stac-item
2021-11-17 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-11-17_final.stac-item
2021-11-23 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2021-11-23_final.stac-item
2021-12-20 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2021-12-20_final.stac-item
2022-01-29 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2022-01-29_final.stac-item
2022-02-19 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2022-02-19_final.stac-item
2022-03-10 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2022-03-10_final.stac-item
2022-05-13 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-05-13_final.stac-item
2022-06-11 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2022-06-11_final.stac-item
2022-06-21 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-06-21_final.stac-item
2022-06-21 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-06-21_final.stac-item
2022-07-15 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-15_final.stac-item
2022-08-11 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2022-08-11_final.stac-item
2022-09-13 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2022-09-13_final.stac-item
2022-10-29 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-29_final.stac-item
2022-11-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-15_final.stac-item
2022-12-12 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_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 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-12-22_final.stac-item
2023-02-13 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-02-13_final
2023-02-23 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-02-23_final
2023-04-04 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-04-04_final
2023-04-18 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2023-04-18_final
2023-05-14 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final
2023-05-21 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-05-21_final
2023-05-31 11:55:39	ga_s2bm_ard_3-2-1_50JNP_2023-05-31_final
2023-06-16 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-06-16_final
2023-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-17_final
2023-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-24_final
2023-08-22 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-08-22_final
2023-08-26 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-08-26_final
2023-09-01 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-09-01_final
2023-09-02 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-09-02_final
2023-09-28 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-09-28_final
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final
2024-01-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2024-01-13_final
2024-03-03 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2024-03-03_final
2024-04-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2024-04-18_final
2024-04-28 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-04-28_final
2024-05-12 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-05-12_interim
2024-05-15 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-05-15_nrt

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