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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPS_2017-08-20_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JPT_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQR_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPR_2017-09-09_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-09-22_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-11-14_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JPT_2017-12-08_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLN_2017-12-11_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMT_2017-12-18_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-25_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HMJ_2018-01-27_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JML_2018-02-23_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JKM_2018-05-07_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HNK_2018-06-16_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JPL_2018-07-03_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGJ_2018-08-28_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final.stac-item
2018-11-23 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2018-11-23_final.stac-item
2018-11-26 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2018-11-26_final.stac-item
2018-12-06 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2018-12-06_final.stac-item
2018-12-06 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2018-12-06_final.stac-item
2018-12-16 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2018-12-16_final.stac-item
2018-12-23 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2018-12-23_final.stac-item
2018-12-23 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2018-12-23_final.stac-item
2019-01-02 11:55:13	ga_s2bm_ard_3-2-1_50JPQ_2019-01-02_final.stac-item
2019-01-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2019-01-05_final.stac-item
2019-01-09 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-01-09_final.stac-item
2019-01-12 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2019-01-12_final.stac-item
2019-01-25 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2019-01-25_final.stac-item
2019-01-29 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2019-01-29_final.stac-item
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final.stac-item
2019-04-02 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2019-04-02_final.stac-item
2019-04-25 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-04-25_final.stac-item
2019-05-19 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-05-19_final.stac-item
2019-12-24 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2019-12-24_final.stac-item
2020-02-19 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-02-19_final.stac-item
2020-04-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-04-02_final.stac-item
2020-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2020-05-20_final.stac-item
2020-05-26 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-05-26_final.stac-item
2020-06-15 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-06-15_final.stac-item
2020-09-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-26_final.stac-item
2020-09-27 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-09-27_final.stac-item
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final.stac-item
2020-10-20 11:44:38	ga_s2bm_ard_3-2-1_50JQT_2020-10-20_final.stac-item
2020-10-20 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2020-10-20_final.stac-item
2020-10-20 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-10-20_final.stac-item
2020-10-20 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2020-10-20_final.stac-item
2020-10-30 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-10-30_final.stac-item
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-11-05_final.stac-item
2020-11-09 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2020-11-09_final.stac-item
2020-11-18 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-11-18_final.stac-item
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-08_final.stac-item
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final.stac-item
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final.stac-item
2021-01-21 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-01-21_final.stac-item
2021-02-27 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-27_final.stac-item
2021-02-27 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-02-27_final.stac-item
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final.stac-item
2021-04-21 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2021-04-21_final.stac-item
2021-05-18 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2021-05-18_final.stac-item
2021-05-18 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2021-05-18_final.stac-item
2021-06-30 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2021-06-30_final.stac-item
2021-10-15 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-10-15_final.stac-item
2021-10-15 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2021-10-15_final.stac-item
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final.stac-item
2021-11-14 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2021-11-14_final.stac-item
2021-11-14 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-11-14_final.stac-item
2021-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final.stac-item
2021-12-07 11:55:44	ga_s2bm_ard_3-2-1_50JNN_2021-12-07_final.stac-item
2021-12-07 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2021-12-07_final.stac-item
2021-12-23 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2021-12-23_final.stac-item
2021-12-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-12-30_final.stac-item
2022-01-09 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-01-09_final.stac-item
2022-02-02 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2022-02-02_final.stac-item
2022-02-11 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-11_final.stac-item
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-11-18_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-11 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2023-01-11_final.stac-item
2023-01-21 11:55:00	ga_s2bm_ard_3-2-1_50JPR_2023-01-21_final.stac-item
2023-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-02-07 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-07_final
2023-02-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-02-27_final
2023-04-24 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-04-24_final
2023-04-24 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2023-04-24_final
2023-10-11 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-11_final
2023-11-10 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-11-10_final
2024-01-16 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final
2024-01-22 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2024-01-22_final
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-02-08_final
2024-02-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2024-02-15_final
2024-02-25 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2024-02-25_final
2024-02-25 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-02-25_final
2024-02-29 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2024-02-29_final
2024-03-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-03-03_final
2024-03-20 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2024-03-20_final
2024-04-12 11:46:16	ga_s2bm_ard_3-2-1_50JQL_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

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