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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KGP_2017-07-24_final.stac-item
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KGP_2017-10-05_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGK_2017-11-21_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-12-21_final.stac-item
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_50HQJ_2018-01-01_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-01-23_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLK_2018-01-27_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-02-22_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLQ_2018-03-31_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLK_2018-05-17_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-05-20_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQJ_2018-05-21_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HLH_2018-07-06_final.stac-item
2018-11-29 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2018-11-29_final.stac-item
2018-12-23 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2018-12-23_final.stac-item
2018-12-30 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2018-12-30_final.stac-item
2019-01-26 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-01-26_final.stac-item
2019-02-18 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2019-02-18_final.stac-item
2019-02-21 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2019-02-21_final.stac-item
2019-03-23 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-03-23_final.stac-item
2019-04-08 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2019-04-08_final.stac-item
2019-04-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2019-04-08_final.stac-item
2019-04-12 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2019-04-12_final.stac-item
2019-04-15 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2019-04-15_final.stac-item
2019-04-29 11:47:21	ga_s2bm_ard_3-2-1_50HLH_2019-04-29_final.stac-item
2019-05-02 11:56:19	ga_s2bm_ard_3-2-1_50JLM_2019-05-02_final.stac-item
2019-05-06 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-06_final.stac-item
2019-06-01 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-06-01_final.stac-item
2019-06-21 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-06-21_final.stac-item
2019-07-24 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-07-24_final.stac-item
2019-08-07 11:46:50	ga_s2bm_ard_3-2-1_50HQJ_2019-08-07_final.stac-item
2019-08-10 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-08-10_final.stac-item
2019-09-16 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2019-09-16_final.stac-item
2019-09-29 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2019-09-29_final.stac-item
2019-10-02 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-10-02_final.stac-item
2019-10-26 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-26_final.stac-item
2019-11-15 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2019-11-15_final.stac-item
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final.stac-item
2019-12-24 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2019-12-24_final.stac-item
2019-12-28 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2019-12-28_final.stac-item
2019-12-28 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2019-12-28_final.stac-item
2020-02-26 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-02-26_final.stac-item
2020-02-29 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2020-02-29_final.stac-item
2020-05-09 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-05-09_final.stac-item
2020-06-08 12:05:22	ga_s2bm_ard_3-2-1_49JGL_2020-06-08_final.stac-item
2020-06-11 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-06-11_final.stac-item
2020-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-07-25_final.stac-item
2020-08-17 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-08-17_final.stac-item
2020-09-20 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-09-20_final.stac-item
2020-11-15 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2020-11-15_final.stac-item
2020-12-12 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-12-12_final.stac-item
2021-01-24 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2021-01-24_final.stac-item
2021-02-17 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-02-17_final.stac-item
2021-02-17 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-02-17_final.stac-item
2021-05-07 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2021-05-07_final.stac-item
2021-05-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-05-25_final.stac-item
2021-07-03 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final.stac-item
2021-07-10 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-10_final.stac-item
2021-07-26 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-07-26_final.stac-item
2021-08-06 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-08-06_final
2021-08-13 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-08-13_final
2021-08-16 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-08-16_final
2021-10-04 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-10-04_final.stac-item
2021-10-11 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-10-11_final.stac-item
2021-10-11 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-10-11_final.stac-item
2021-11-10 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2021-11-10_final.stac-item
2021-11-21 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-11-21_final.stac-item
2021-12-04 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2021-12-04_final.stac-item
2021-12-30 12:05:33	ga_s2bm_ard_3-2-1_50JLP_2021-12-30_final.stac-item
2022-01-09 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2022-01-09_final.stac-item
2022-01-19 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2022-01-19_final.stac-item
2022-01-26 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2022-01-26_final.stac-item
2022-02-22 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-02-22_final.stac-item
2022-03-17 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2022-03-17_final.stac-item
2022-05-06 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-05-06_final.stac-item
2022-06-25 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-06-25_final.stac-item
2022-07-05 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2022-07-05_final.stac-item
2022-10-03 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2022-10-03_final.stac-item
2022-10-20 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2022-10-20_final.stac-item
2022-10-26 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-10-26_final.stac-item
2022-12-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-12-25_final.stac-item
2023-01-18 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-01-18_final.stac-item
2023-01-28 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-28_final.stac-item
2023-02-27 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-02-27_final
2023-04-11 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2023-04-11_final
2023-04-14 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2023-04-14_final
2023-05-28 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-05-28_final
2023-08-22 12:05:26	ga_s2bm_ard_3-2-1_49JGL_2023-08-22_final
2023-09-25 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2023-09-25_final
2023-11-07 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-11-07_final
2023-12-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-12-14_final
2024-01-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-01-19_final
2024-02-28 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-02-28_final
2024-03-16 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2024-03-16_final
2024-03-30 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-03-30_final
2024-04-08 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-04-08_final
2024-04-28 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-04-28_final
2024-05-09 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2024-05-09_final
2024-05-12 11:47:24	ga_s2bm_ard_3-2-1_50HMG_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