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
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JFM_2017-07-17_final.stac-item
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLN_2017-08-13_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMK_2017-08-27_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLH_2017-12-28_final.stac-item
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_50JQL_2018-01-01_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JPR_2018-01-14_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNH_2018-03-05_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNL_2018-04-07_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-06-13_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50JPL_2018-06-20_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLJ_2018-07-26_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KNC_2018-07-26_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLL_2018-09-24_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMN_2018-10-14_final.stac-item
2018-12-19 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2018-12-19_final.stac-item
2018-12-19 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2018-12-19_final.stac-item
2019-04-19 11:45:24	ga_s2bm_ard_3-2-1_50JQQ_2019-04-19_final.stac-item
2019-04-19 11:45:30	ga_s2bm_ard_3-2-1_50JNQ_2019-04-19_final.stac-item
2019-04-22 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2019-04-22_final.stac-item
2019-04-28 12:14:07	ga_s2bm_ard_3-2-1_50KKA_2019-04-28_final.stac-item
2019-04-28 12:15:03	ga_s2bm_ard_3-2-1_49JGM_2019-04-28_final.stac-item
2019-05-08 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-05-08_final.stac-item
2019-06-21 11:55:17	ga_s2bm_ard_3-2-1_50JMR_2019-06-21_final.stac-item
2019-06-25 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-06-25_final.stac-item
2019-08-17 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2019-08-17_final.stac-item
2019-09-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-16_final.stac-item
2019-09-19 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2019-09-19_final.stac-item
2019-09-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-09-22_final.stac-item
2019-10-02 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2019-10-02_final.stac-item
2019-10-06 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2019-10-06_final.stac-item
2019-10-12 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-10-12_final.stac-item
2019-12-14 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-14_final.stac-item
2019-12-21 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-21_final.stac-item
2019-12-31 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-31_final.stac-item
2020-01-14 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-01-14_final.stac-item
2020-01-30 12:04:06	ga_s2bm_ard_3-2-1_49KHQ_2020-01-30_final.stac-item
2020-02-03 11:46:55	ga_s2bm_ard_3-2-1_50HPH_2020-02-03_final.stac-item
2020-03-10 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2020-03-10_final.stac-item
2020-03-30 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-30_final.stac-item
2020-04-29 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2020-04-29_final.stac-item
2020-05-06 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2020-05-06_final.stac-item
2020-06-09 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-06-09_final.stac-item
2020-06-29 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-29_final.stac-item
2020-08-14 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-08-14_final.stac-item
2020-08-25 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-08-25_final.stac-item
2020-09-03 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-09-03_final.stac-item
2020-11-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-11-02_final
2020-11-25 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2020-11-25_final.stac-item
2021-01-04 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-01-04_final.stac-item
2021-01-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-17_final.stac-item
2021-02-20 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2021-02-20_final.stac-item
2021-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-03-08_final.stac-item
2021-03-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-03-25_final.stac-item
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-03-29_final.stac-item
2021-04-07 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2021-04-07_final.stac-item
2021-04-14 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-04-14_final.stac-item
2021-05-31 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-05-31_final.stac-item
2021-06-04 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-04_final.stac-item
2021-08-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-08-13_final.stac-item
2021-09-05 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2021-09-05_final.stac-item
2021-11-17 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2021-11-17_final.stac-item
2021-11-27 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2021-11-27_final.stac-item
2021-11-30 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2021-11-30_final.stac-item
2021-12-01 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2021-12-01_final.stac-item
2021-12-21 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-12-21_final.stac-item
2022-02-11 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-11_final.stac-item
2022-02-18 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2022-02-18_final.stac-item
2022-03-07 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-03-07_final.stac-item
2022-03-17 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-03-17_final.stac-item
2022-04-09 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-09_final.stac-item
2022-04-29 12:03:52	ga_s2bm_ard_3-2-1_49KHR_2022-04-29_final.stac-item
2022-05-20 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-05-20_final.stac-item
2022-07-12 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2022-07-12_final.stac-item
2022-07-15 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2022-07-15_final.stac-item
2022-07-18 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-07-18_final.stac-item
2022-07-22 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2022-07-22_final.stac-item
2022-08-24 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2022-08-24_final.stac-item
2022-09-13 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2022-09-13_final.stac-item
2022-09-29 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-09-29_final.stac-item
2022-11-15 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-11-15_final.stac-item
2023-01-08 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-01-08_final.stac-item
2023-02-07 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2023-02-07_final
2023-03-25 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-03-25_final
2023-04-15 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-04-15_final
2023-04-21 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-04-21_final
2023-05-11 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-05-11_final
2023-09-22 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-09-22_final
2023-10-01 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-10-01_final
2023-10-22 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-22_final
2023-11-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2023-11-23_final
2023-11-24 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2023-11-24_final
2023-11-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-30_final
2023-12-07 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2023-12-07_final
2023-12-10 12:03:40	ga_s2bm_ard_3-2-1_50KNA_2023-12-10_final
2024-02-29 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2024-02-29_final
2024-03-26 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2024-03-26_final
2024-04-15 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2024-04-15_final
2024-04-21 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-04-21_final
2024-05-02 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2024-05-02_final
2024-05-02 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2024-05-02_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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