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_50JLM_2017-09-09_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JQL_2017-09-16_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KGP_2017-11-11_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HPK_2017-11-25_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JQP_2017-12-05_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKN_2017-12-11_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HNK_2017-12-28_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JQL_2018-02-23_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JML_2018-04-07_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLJ_2018-06-06_final.stac-item
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-06-22_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JQN_2018-07-13_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JLM_2018-08-15_final.stac-item
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KGP_2018-09-20_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNR_2018-10-14_final.stac-item
2018-11-17 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2018-11-17_final.stac-item
2018-12-09 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-09_final.stac-item
2018-12-30 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2018-12-30_final.stac-item
2019-02-08 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-02-08_final.stac-item
2019-03-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-20_final.stac-item
2019-03-26 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-03-26_final.stac-item
2019-03-27 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2019-03-27_final.stac-item
2019-04-18 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2019-04-18_final.stac-item
2019-05-15 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-15_final.stac-item
2019-06-01 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-06-01_final.stac-item
2019-06-28 11:47:11	ga_s2bm_ard_3-2-1_50HPH_2019-06-28_final.stac-item
2019-10-22 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-22_final.stac-item
2019-10-25 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-25_final.stac-item
2019-10-29 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2019-10-29_final.stac-item
2019-11-15 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-11-15_final.stac-item
2019-12-01 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2019-12-01_final.stac-item
2019-12-31 12:03:36	ga_s2bm_ard_3-2-1_50KLB_2019-12-31_final.stac-item
2020-01-17 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2020-01-17_final.stac-item
2020-01-27 11:56:00	ga_s2bm_ard_3-2-1_50JMM_2020-01-27_final.stac-item
2020-01-30 12:05:00	ga_s2bm_ard_3-2-1_50JLR_2020-01-30_final.stac-item
2020-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2020-03-03_final.stac-item
2020-05-03 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2020-05-03_final.stac-item
2020-05-06 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2020-05-06_final.stac-item
2020-06-08 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-08_final.stac-item
2020-06-12 11:44:40	ga_s2bm_ard_3-2-1_50JPT_2020-06-12_final.stac-item
2020-08-14 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-08-14_final.stac-item
2020-10-03 11:54:40	ga_s2bm_ard_3-2-1_50JNT_2020-10-03_final.stac-item
2020-10-07 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2020-10-07_final.stac-item
2020-10-16 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-16_final.stac-item
2020-10-30 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-10-30_final.stac-item
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2020-11-05_final.stac-item
2020-12-09 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2020-12-09_final.stac-item
2020-12-28 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-12-28_final.stac-item
2021-01-14 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-01-14_final.stac-item
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-01-24 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2021-01-24_final.stac-item
2021-02-07 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-02-07_final.stac-item
2021-05-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-05-24_final.stac-item
2021-06-03 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-06-03_final.stac-item
2021-06-06 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2021-06-06_final.stac-item
2021-06-07 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2021-06-07_final.stac-item
2021-07-24 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2021-07-24_final.stac-item
2021-08-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-08-22_final.stac-item
2021-10-11 12:04:21	ga_s2bm_ard_3-2-1_50KKV_2021-10-11_final.stac-item
2021-10-28 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-10-28_final.stac-item
2021-11-13 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-11-13_final.stac-item
2021-11-30 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2021-11-30_final.stac-item
2021-12-10 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-12-10_final.stac-item
2022-01-29 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2022-01-29_final.stac-item
2022-02-12 11:45:19	ga_s2bm_ard_3-2-1_50JNQ_2022-02-12_final.stac-item
2022-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-03-03_final.stac-item
2022-04-09 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2022-04-09_final.stac-item
2022-04-12 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-12_final.stac-item
2022-06-05 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-06-05_final.stac-item
2022-07-12 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2022-07-12_final.stac-item
2022-07-15 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-15_final.stac-item
2022-08-11 11:46:30	ga_s2bm_ard_3-2-1_50JML_2022-08-11_final.stac-item
2022-08-31 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2022-08-31_final.stac-item
2022-09-30 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2022-09-30_final.stac-item
2022-10-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-10-06_final.stac-item
2022-11-12 11:56:19	ga_s2bm_ard_3-2-1_50JLM_2022-11-12_final.stac-item
2022-11-22 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2022-11-22_final.stac-item
2022-12-02 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2022-12-02_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2022-12-25 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2022-12-25_final.stac-item
2022-12-25 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-12-25_final.stac-item
2022-12-29 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-12-29_final.stac-item
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-04_final.stac-item
2023-01-21 11:57:02	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-01-28 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-01-28_final.stac-item
2023-02-03 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-02-03_final.stac-item
2023-02-04 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-02-04_final
2023-05-24 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-05-24_final
2023-05-27 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-05-27_final
2023-07-16 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-07-16_final
2023-08-16 11:45:12	ga_s2bm_ard_3-2-1_50JPR_2023-08-16_final
2023-09-01 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-09-01_final
2023-09-12 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-12_final
2023-10-11 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-10-11_final
2024-01-09 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2024-01-09_final
2024-01-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-01-16_final
2024-01-19 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2024-01-19_final
2024-02-18 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-02-18_final
2024-04-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2024-04-18_final
2024-04-28 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2024-04-28_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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