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_50JLP_2017-08-20_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JLM_2017-12-18_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMK_2018-01-14_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-09_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNK_2018-02-13_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKP_2018-02-16_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPJ_2018-03-22_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNN_2018-03-25_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNR_2018-03-25_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGK_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-03-31_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-04-03_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNQ_2018-04-04_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPP_2018-04-04_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-04-13_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLP_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPJ_2018-04-21_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQH_2018-04-21_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLL_2018-07-16_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JPL_2018-08-12_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HPH_2018-10-21_final.stac-item
2018-11-10 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2018-11-10_final.stac-item
2018-12-16 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2018-12-16_final.stac-item
2018-12-19 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-19_final.stac-item
2018-12-20 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2018-12-20_final.stac-item
2019-01-05 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2019-01-05_final.stac-item
2019-01-05 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-01-05_final.stac-item
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final.stac-item
2019-01-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-01-06_final.stac-item
2019-01-22 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2019-01-22_final.stac-item
2019-01-29 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-01-29_final.stac-item
2019-04-15 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-04-15_final.stac-item
2019-05-16 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-16_final.stac-item
2019-05-19 11:45:44	ga_s2bm_ard_3-2-1_50JPP_2019-05-19_final.stac-item
2019-05-25 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-25_final.stac-item
2019-06-11 11:55:23	ga_s2bm_ard_3-2-1_50JPQ_2019-06-11_final.stac-item
2019-06-11 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-06-11_final.stac-item
2019-08-17 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2019-08-17_final.stac-item
2019-11-15 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-11-15_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final.stac-item
2020-02-19 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-02-19_final.stac-item
2020-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-08-27_final.stac-item
2020-10-23 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2020-10-23_final.stac-item
2020-10-29 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-10-29_final.stac-item
2020-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-11-06_final.stac-item
2020-11-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2020-11-29_final.stac-item
2021-01-08 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-01-08_final
2021-03-12 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-03-12_final.stac-item
2021-04-25 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-04-25_final
2021-04-28 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-04-28_final
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final
2021-06-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-26_final.stac-item
2021-06-27 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-06-27_final.stac-item
2021-06-30 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-06-30_final.stac-item
2021-06-30 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2021-06-30_final.stac-item
2021-06-30 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2021-06-30_final.stac-item
2021-07-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-07-03_final.stac-item
2021-07-04 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-04_final.stac-item
2021-07-06 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-06_final.stac-item
2021-07-07 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-07_final.stac-item
2021-07-10 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2021-07-10_final.stac-item
2021-07-17 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-17_final.stac-item
2021-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-07-17_final
2021-07-23 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2021-07-23_final.stac-item
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final.stac-item
2021-08-02 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-02_final.stac-item
2021-08-19 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-08-19_final.stac-item
2021-08-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-08-19_final.stac-item
2021-08-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-08-22_final.stac-item
2021-08-22 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-08-22_final.stac-item
2021-11-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-11-17_final.stac-item
2021-12-04 11:45:07	ga_s2bm_ard_3-2-1_50JNR_2021-12-04_final.stac-item
2021-12-07 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2021-12-07_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 11:56:03	ga_s2bm_ard_3-2-1_50JMM_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
2021-12-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-13_final.stac-item
2023-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-01-04_final
2023-01-14 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2023-01-14_final
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-24_final.stac-item
2023-04-11 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-11_final
2023-06-03 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-03_final
2023-07-13 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-07-13_final
2023-08-02 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-02_final
2023-08-16 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-08-16_final
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final
2023-12-20 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-12-20_final
2024-01-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2024-01-13_final
2024-01-23 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2024-01-23_final
2024-02-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-15_final
2024-04-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-04-22_final
2024-05-12 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2024-05-12_interim

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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