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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JQL_2017-07-18_final.stac-item
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50HLH_2017-10-19_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMP_2017-11-28_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKM_2017-12-21_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JPL_2017-12-25_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNJ_2017-12-25_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHP_2017-12-31_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JPR_2018-01-17_final.stac-item
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_50JQL_2018-01-21_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JML_2018-02-03_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-02-19_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JPS_2018-03-05_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JML_2018-03-28_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHM_2018-04-20_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKQ_2018-05-30_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JQM_2018-06-03_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JNM_2018-09-24_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMR_2018-10-14_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JPM_2018-10-31_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMK_2018-11-03_final.stac-item
2018-11-07 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2018-11-07_final.stac-item
2018-11-30 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2018-11-30_final.stac-item
2018-12-20 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2018-12-20_final.stac-item
2018-12-30 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-12-30_final.stac-item
2019-02-05 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-02-05_final.stac-item
2019-03-06 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-03-06_final.stac-item
2019-03-13 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2019-03-13_final.stac-item
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final.stac-item
2019-06-24 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-06-24_final.stac-item
2019-06-28 11:46:21	ga_s2bm_ard_3-2-1_50JMM_2019-06-28_final.stac-item
2019-08-07 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-08-07_final.stac-item
2019-08-20 11:56:17	ga_s2bm_ard_3-2-1_50JLM_2019-08-20_final.stac-item
2019-09-29 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2019-09-29_final.stac-item
2019-09-29 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-09-29_final.stac-item
2019-10-22 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-10-22_final.stac-item
2019-11-15 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-11-15_final.stac-item
2019-12-15 11:45:19	ga_s2bm_ard_3-2-1_50JNQ_2019-12-15_final.stac-item
2019-12-31 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-31_final.stac-item
2020-01-14 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-14_final.stac-item
2020-02-09 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-02-09_final.stac-item
2020-03-10 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-03-10_final.stac-item
2020-05-23 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2020-05-23_final.stac-item
2020-06-12 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-12_final.stac-item
2020-07-02 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2020-07-02_final.stac-item
2020-07-25 11:56:28	ga_s2bm_ard_3-2-1_50JML_2020-07-25_final.stac-item
2020-09-13 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2020-09-13_final.stac-item
2020-12-29 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2020-12-29_final.stac-item
2021-01-21 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2021-01-21_final.stac-item
2021-01-24 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-01-24_final.stac-item
2021-01-28 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-01-28_final.stac-item
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final
2021-02-10 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-02-10_final.stac-item
2021-02-17 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2021-02-17_final.stac-item
2021-02-20 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-02-20_final.stac-item
2021-03-02 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-03-02_final.stac-item
2021-03-02 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-03-02_final.stac-item
2021-03-15 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-03-15_final.stac-item
2021-03-19 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-03-19_final.stac-item
2021-04-18 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-04-18_final.stac-item
2021-05-01 11:56:18	ga_s2bm_ard_3-2-1_50JML_2021-05-01_final.stac-item
2021-06-10 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2021-06-10_final.stac-item
2021-07-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-07-03_final.stac-item
2021-07-27 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-27_final.stac-item
2021-09-05 11:45:50	ga_s2bm_ard_3-2-1_50JNN_2021-09-05_final.stac-item
2021-09-12 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2021-09-12_final.stac-item
2021-09-15 11:45:42	ga_s2bm_ard_3-2-1_50JQN_2021-09-15_final.stac-item
2021-10-14 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-10-14_final.stac-item
2021-10-18 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-10-18_final.stac-item
2021-10-28 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2021-10-28_final.stac-item
2021-11-24 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2021-11-24_final.stac-item
2022-01-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-01-03_final.stac-item
2022-01-13 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2022-01-13_final.stac-item
2022-02-22 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2022-02-22_final.stac-item
2022-02-22 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-22_final.stac-item
2022-04-19 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-04-19_final.stac-item
2022-04-23 11:45:38	ga_s2bm_ard_3-2-1_50JQN_2022-04-23_final.stac-item
2022-05-26 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-05-26_final.stac-item
2022-06-05 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2022-06-05_final.stac-item
2022-06-28 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-06-28_final.stac-item
2022-07-18 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2022-07-18_final.stac-item
2022-10-06 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2022-10-06_final.stac-item
2022-11-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-12-25 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-12-25_final.stac-item
2023-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-01-04_final
2023-02-23 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2023-02-23_final
2023-03-29 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2023-03-29_final
2023-04-01 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2023-04-01_final
2023-04-04 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-04-04_final
2023-07-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-17_final
2023-09-11 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-09-11_final
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final
2023-10-28 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-10-28_final
2023-11-03 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-11-03_final
2023-12-20 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-12-20_final
2024-01-03 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2024-01-03_final
2024-03-23 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2024-03-23_final
2024-03-29 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-03-29_final
2024-03-29 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2024-03-29_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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