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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KGP_2017-07-24_final.stac-item
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2017-08-06_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2017-09-12_final.stac-item
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGN_2017-09-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HNH_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JPQ_2017-12-18_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HQJ_2017-12-25_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-01-13_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-01-30_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-11_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPK_2018-03-22_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNL_2018-03-28_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-04-13_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2018-06-03_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPJ_2018-07-10_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPK_2018-09-28_final.stac-item
2018-11-26 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2018-11-26_final.stac-item
2019-01-12 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2019-01-12_final.stac-item
2019-01-19 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-01-19_final.stac-item
2019-02-11 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-02-11_final.stac-item
2019-04-06 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2019-04-06_final.stac-item
2019-06-04 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-06-04_final.stac-item
2019-09-05 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2019-09-05_final.stac-item
2019-09-15 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-09-15_final.stac-item
2019-10-15 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-15_final.stac-item
2019-10-19 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2019-10-19_final.stac-item
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final.stac-item
2019-12-11 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2019-12-11_final.stac-item
2019-12-15 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2019-12-15_final.stac-item
2019-12-22 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2019-12-22_final.stac-item
2020-02-13 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-02-13_final.stac-item
2020-02-23 11:46:45	ga_s2bm_ard_3-2-1_50HNJ_2020-02-23_final.stac-item
2020-02-29 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-02-29_final.stac-item
2020-03-20 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2020-03-20_final.stac-item
2020-04-03 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2020-04-03_final.stac-item
2020-04-09 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-09_final.stac-item
2020-04-29 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2020-04-29_final.stac-item
2020-08-17 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-08-17_final.stac-item
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-08-27_final.stac-item
2020-09-16 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2020-09-16_final.stac-item
2020-09-16 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-16_final.stac-item
2020-09-26 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-09-26_final.stac-item
2020-11-02 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2020-11-02_final.stac-item
2020-12-02 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2020-12-02_final.stac-item
2020-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-12-18_final.stac-item
2021-01-28 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-01-28_final.stac-item
2021-03-02 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-03-02_final.stac-item
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final.stac-item
2021-03-15 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2021-03-15_final.stac-item
2021-05-11 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-05-11_final.stac-item
2021-07-26 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-07-26_final.stac-item
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2021-08-12_final.stac-item
2021-08-29 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2021-08-29_final.stac-item
2021-09-24 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-09-24_final.stac-item
2021-10-21 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2021-10-21_final.stac-item
2021-10-21 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-10-21_final.stac-item
2021-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-10-24_final.stac-item
2021-11-04 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-11-04_final.stac-item
2021-11-10 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-11-10_final.stac-item
2021-11-14 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-11-14_final.stac-item
2021-11-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-11-20_final.stac-item
2021-12-17 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2021-12-17_final.stac-item
2021-12-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-23_final.stac-item
2021-12-24 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2021-12-24_final.stac-item
2021-12-27 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-12-27_final.stac-item
2022-01-06 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2022-01-06_final.stac-item
2022-02-08 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-02-08_final.stac-item
2022-02-22 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-02-22_final.stac-item
2022-03-11 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2022-03-11_final.stac-item
2022-03-17 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2022-03-17_final.stac-item
2022-04-16 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2022-04-16_final.stac-item
2022-04-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-04-16_final.stac-item
2022-04-29 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2022-04-29_final.stac-item
2022-06-22 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2022-06-22_final.stac-item
2022-08-14 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2022-08-14_final.stac-item
2022-08-17 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2022-08-17_final.stac-item
2022-09-13 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2022-09-13_final.stac-item
2022-09-26 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-09-26_final.stac-item
2022-09-27 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2022-09-27_final.stac-item
2022-09-30 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-09-30_final.stac-item
2022-10-03 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2022-10-03_final.stac-item
2022-10-30 11:44:36	ga_s2bm_ard_3-2-1_50JPT_2022-10-30_final.stac-item
2022-12-09 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2022-12-09_final.stac-item
2023-01-21 11:56:20	ga_s2bm_ard_3-2-1_50JML_2023-01-21_final.stac-item
2023-02-17 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2023-02-17_final
2023-02-27 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-02-27_final
2023-05-28 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-05-28_final
2023-08-05 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-08-05_final
2023-08-23 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-08-23_final
2023-09-28 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-09-28_final
2023-11-11 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-11-11_final
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-13_final
2024-02-02 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2024-02-02_final
2024-02-12 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2024-02-12_final
2024-02-12 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2024-02-12_final
2024-02-12 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-02-12_final
2024-03-22 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2024-03-22_final
2024-03-30 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2024-03-30_final
2024-04-05 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2024-04-05_final
2024-04-12 11:46:59	ga_s2bm_ard_3-2-1_50HNH_2024-04-12_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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