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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JML_2017-09-09_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JNM_2017-09-29_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KGP_2017-11-01_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKP_2017-11-11_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JQP_2017-12-05_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-01-20_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-19_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMH_2018-04-17_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JMM_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNL_2018-04-24_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNM_2018-04-27_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNL_2018-05-07_final.stac-item
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-05-13_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50JQL_2018-06-10_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-06-23_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49KGQ_2018-06-29_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMR_2018-08-05_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGM_2018-09-07_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JLP_2018-10-14_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50JPL_2018-10-21_final.stac-item
2018-11-16 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2018-11-16_final.stac-item
2019-02-18 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2019-02-18_final.stac-item
2019-05-15 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-05-15_final.stac-item
2019-05-15 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-15_final.stac-item
2019-06-24 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-06-24_final.stac-item
2019-06-24 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-06-24_final.stac-item
2019-07-08 11:46:52	ga_s2bm_ard_3-2-1_50HQJ_2019-07-08_final.stac-item
2019-07-24 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-07-24_final.stac-item
2019-09-03 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2019-09-03_final.stac-item
2019-09-16 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-09-16_final.stac-item
2019-10-03 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-10-03_final.stac-item
2019-10-16 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2019-10-16_final.stac-item
2019-12-25 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2019-12-25_final.stac-item
2019-12-25 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2019-12-25_final.stac-item
2020-04-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-04-03_final.stac-item
2020-05-13 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2020-05-13_final.stac-item
2020-07-08 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-07-08_final.stac-item
2020-07-18 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2020-07-18_final.stac-item
2020-08-24 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-08-24_final.stac-item
2020-09-09 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-09-09_final.stac-item
2020-10-23 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-10-23_final.stac-item
2020-12-12 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2020-12-12_final.stac-item
2021-01-31 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2021-01-31_final
2021-02-07 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-02-07_final.stac-item
2021-02-27 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-02-27_final.stac-item
2021-03-16 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-03-16_final.stac-item
2021-04-18 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-04-18_final.stac-item
2021-04-21 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2021-04-21_final.stac-item
2021-05-11 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-05-11_final.stac-item
2021-05-25 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-05-25_final.stac-item
2021-07-07 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2021-07-07_final.stac-item
2021-07-07 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-07-07_final.stac-item
2021-07-16 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-07-16_final.stac-item
2021-08-09 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-08-09_final.stac-item
2021-08-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-08-19_final.stac-item
2021-08-19 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2021-08-19_final.stac-item
2021-10-14 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-10-14_final.stac-item
2021-10-21 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-10-21_final.stac-item
2021-11-14 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-11-14_final.stac-item
2021-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-11-27_final.stac-item
2021-12-04 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2021-12-04_final.stac-item
2022-02-01 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-01_final.stac-item
2022-02-25 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2022-02-25_final.stac-item
2022-02-25 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2022-02-25_final.stac-item
2022-06-02 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-06-02_final.stac-item
2022-06-12 11:45:35	ga_s2bm_ard_3-2-1_50JQP_2022-06-12_final.stac-item
2022-06-18 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-06-18_final.stac-item
2022-07-18 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2022-07-18_final.stac-item
2022-09-13 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-13_final.stac-item
2022-10-09 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-10-09_final.stac-item
2022-10-20 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-10-20_final.stac-item
2022-11-28 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-28_final.stac-item
2022-12-16 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2022-12-16_final.stac-item
2023-01-04 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-01-04_final.stac-item
2023-02-04 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-02-04_final
2023-02-06 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-06_final
2023-05-01 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-05-01_final
2023-05-04 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-05-04_final
2023-05-21 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2023-05-21_final
2023-06-17 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-17_final
2023-06-27 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-27_final
2023-07-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-07-13_final
2023-07-20 11:56:24	ga_s2bm_ard_3-2-1_50JNL_2023-07-20_final
2023-08-05 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-08-05_final
2023-08-12 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2023-08-12_final
2023-08-12 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2023-08-12_final
2023-11-03 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-03_final
2023-11-20 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-11-20_final
2023-11-27 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2023-11-27_final
2024-02-05 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-02-05_final
2024-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2024-02-28_final
2024-02-28 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2024-02-28_final
2024-03-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-02_final
2024-03-06 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2024-03-06_final
2024-03-13 11:44:42	ga_s2bm_ard_3-2-1_50JQS_2024-03-13_final
2024-03-16 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-03-16_final
2024-03-20 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-03-20_final
2024-03-29 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-03-29_final
2024-04-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-04-15_final
2024-04-25 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2024-04-25_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