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
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JMM_2017-09-19_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLM_2017-10-12_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HQJ_2017-11-15_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HNJ_2017-11-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JMM_2017-12-28_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLQ_2018-01-17_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLP_2018-01-27_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-02-19_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HPH_2018-03-05_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHR_2018-03-14_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50HPK_2018-04-11_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKS_2018-04-20_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JMM_2018-05-14_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HQK_2018-06-23_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLP_2018-07-09_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JLR_2018-10-14_final.stac-item
2019-02-01 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-01_final.stac-item
2019-02-08 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-02-08_final.stac-item
2019-02-11 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2019-02-11_final.stac-item
2019-02-15 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2019-02-15_final.stac-item
2019-02-25 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-02-25_final.stac-item
2019-04-09 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2019-04-09_final.stac-item
2019-05-12 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-05-12_final.stac-item
2019-05-19 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-19_final.stac-item
2019-06-01 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-06-01_final.stac-item
2019-07-18 11:46:21	ga_s2bm_ard_3-2-1_50JMM_2019-07-18_final.stac-item
2019-09-12 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-09-12_final.stac-item
2019-10-12 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2019-10-12_final.stac-item
2019-10-19 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2019-10-19_final.stac-item
2019-10-26 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2019-10-26_final.stac-item
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final.stac-item
2019-11-11 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2019-11-11_final.stac-item
2019-11-15 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-11-15_final.stac-item
2019-12-18 11:54:39	ga_s2bm_ard_3-2-1_50JLT_2019-12-18_final.stac-item
2020-01-14 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2020-01-14_final.stac-item
2020-01-14 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2020-01-14_final.stac-item
2020-03-20 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2020-03-20_final.stac-item
2020-03-20 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2020-03-20_final.stac-item
2020-03-24 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-24_final.stac-item
2020-04-09 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2020-04-09_final.stac-item
2020-04-29 12:05:56	ga_s2bm_ard_3-2-1_50JLM_2020-04-29_final.stac-item
2020-06-28 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-06-28_final.stac-item
2020-10-09 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-10-09_final.stac-item
2020-10-23 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2020-10-23_final.stac-item
2020-11-05 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-11-05_final.stac-item
2020-11-18 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-11-18_final.stac-item
2020-11-19 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2020-11-19_final.stac-item
2020-11-29 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2020-11-29_final.stac-item
2020-12-29 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-12-29_final.stac-item
2021-01-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-01-04_final.stac-item
2021-01-21 11:56:22	ga_s2bm_ard_3-2-1_50JML_2021-01-21_final.stac-item
2021-01-24 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-01-24_final
2021-03-15 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2021-03-15_final.stac-item
2021-04-04 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-04-04_final.stac-item
2021-04-04 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2021-04-04_final.stac-item
2021-04-11 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2021-04-11_final.stac-item
2021-04-21 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2021-04-21_final.stac-item
2021-04-24 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-04-24_final.stac-item
2021-05-28 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-05-28_final.stac-item
2021-09-01 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2021-09-01_final.stac-item
2021-09-18 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-09-18_final.stac-item
2021-09-21 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2021-09-21_final.stac-item
2021-10-15 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-10-15_final
2021-10-21 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-10-21_final.stac-item
2021-11-11 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-11-11_final.stac-item
2021-11-17 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2021-11-17_final.stac-item
2021-12-07 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2021-12-07_final.stac-item
2021-12-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-12-10_final.stac-item
2021-12-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2021-12-24_final.stac-item
2022-01-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-01-12_final.stac-item
2022-01-29 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2022-01-29_final.stac-item
2022-02-15 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2022-02-15_final.stac-item
2022-03-20 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2022-03-20_final.stac-item
2022-04-13 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-13_final.stac-item
2022-04-13 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-04-13_final.stac-item
2022-04-16 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2022-04-16_final.stac-item
2022-06-05 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-06-05_final.stac-item
2022-07-08 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2022-07-08_final.stac-item
2022-08-27 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2022-08-27_final.stac-item
2022-09-30 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-09-30_final.stac-item
2022-10-13 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2022-10-13_final.stac-item
2022-11-02 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2022-11-02_final.stac-item
2023-01-01 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2023-01-01_final.stac-item
2023-01-14 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2023-01-14_final
2023-01-18 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-18_final.stac-item
2023-02-10 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-02-10_final.stac-item
2023-02-13 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2023-02-13_final
2023-02-17 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2023-02-17_final
2023-03-09 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-03-09_final
2023-05-18 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-05-18_final
2023-05-24 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2023-05-24_final
2023-06-06 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-06-06_final
2023-08-19 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2023-08-19_final
2023-10-08 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2023-10-08_final
2023-10-18 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-10-18_final
2023-10-21 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-21_final
2023-10-21 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-10-21_final
2023-12-14 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2023-12-14_final
2024-01-13 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2024-01-13_final
2024-03-06 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2024-03-06_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

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