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_50KLC_2017-07-24_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPH_2017-08-07_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HMH_2017-10-06_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KKU_2017-10-12_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50JPL_2017-11-05_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50KPV_2017-11-05_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KMC_2017-11-28_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPK_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_50HLJ_2017-12-28_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-01-30_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLT_2018-03-21_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50KMC_2018-03-31_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JKP_2018-06-06_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KMC_2018-08-08_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGM_2018-08-18_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JNM_2018-09-04_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KKB_2018-09-27_final.stac-item
2018-11-29 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2018-11-29_final.stac-item
2018-11-30 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2018-11-30_final.stac-item
2018-12-13 11:53:11	ga_s2bm_ard_3-2-1_50KQC_2018-12-13_final.stac-item
2018-12-23 11:55:11	ga_s2bm_ard_3-2-1_50JPQ_2018-12-23_final.stac-item
2018-12-29 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2018-12-29_final.stac-item
2019-01-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2019-01-05_final.stac-item
2019-02-11 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2019-02-11_final.stac-item
2019-03-26 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-03-26_final.stac-item
2019-05-19 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2019-05-19_final.stac-item
2019-06-11 11:54:15	ga_s2bm_ard_3-2-1_50KNV_2019-06-11_final.stac-item
2019-06-17 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-06-17_final.stac-item
2019-06-25 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-06-25_final.stac-item
2019-07-24 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-07-24_final.stac-item
2019-10-19 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2019-10-19_final.stac-item
2019-11-11 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2019-11-11_final.stac-item
2019-12-25 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2019-12-25_final.stac-item
2020-01-14 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2020-01-14_final.stac-item
2020-01-27 11:56:00	ga_s2bm_ard_3-2-1_50JMM_2020-01-27_final.stac-item
2020-04-09 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-09_final.stac-item
2020-05-16 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2020-05-16_final.stac-item
2020-05-19 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2020-05-19_final.stac-item
2020-05-20 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2020-05-20_final.stac-item
2020-05-26 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-05-26_final.stac-item
2020-05-29 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-05-29_final.stac-item
2020-06-08 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-08_final.stac-item
2020-06-21 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2020-06-21_final.stac-item
2020-08-21 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-08-21_final.stac-item
2020-08-27 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-08-27_final.stac-item
2020-12-12 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-12-12_final.stac-item
2020-12-25 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2020-12-25_final.stac-item
2021-01-04 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-01-04_final.stac-item
2021-04-14 12:04:06	ga_s2bm_ard_3-2-1_50KLV_2021-04-14_final.stac-item
2021-04-18 11:44:30	ga_s2bm_ard_3-2-1_50JQT_2021-04-18_final.stac-item
2021-06-16 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-16_final.stac-item
2021-06-17 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2021-06-17_final.stac-item
2021-07-07 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2021-07-07_final.stac-item
2021-07-10 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2021-07-10_final.stac-item
2021-07-30 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2021-07-30_final.stac-item
2021-08-02 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2021-08-02_final.stac-item
2021-09-18 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2021-09-18_final.stac-item
2021-09-18 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2021-09-18_final.stac-item
2021-12-20 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-20_final.stac-item
2022-02-18 12:04:07	ga_s2bm_ard_3-2-1_50KKV_2022-02-18_final.stac-item
2022-02-21 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-21_final.stac-item
2022-03-27 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2022-03-27_final.stac-item
2022-05-09 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-05-09_final.stac-item
2022-05-26 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2022-05-26_final.stac-item
2022-07-08 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-07-08_final.stac-item
2022-09-03 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2022-09-03_final.stac-item
2022-09-06 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-06_final.stac-item
2022-09-20 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2022-09-20_final.stac-item
2022-09-26 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2022-09-26_final.stac-item
2022-10-16 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2022-10-16_final.stac-item
2022-11-06 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2022-11-06_final.stac-item
2022-11-09 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2022-11-09_final.stac-item
2022-11-22 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-11-22_final.stac-item
2022-12-29 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-12-29_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-01-14_final.stac-item
2023-01-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2023-01-14_final.stac-item
2023-01-31 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2023-01-31_final.stac-item
2023-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-02-13_final
2023-05-17 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-05-17_final
2023-05-27 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-05-27_final
2023-06-10 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2023-06-10_final
2023-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-06-17_final
2023-07-03 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-07-03_final
2023-07-06 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-07-06_final
2023-08-16 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2023-08-16_final
2023-09-18 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-09-18_final
2023-10-21 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-10-21_final
2023-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2023-10-25_final
2023-11-07 11:53:56	ga_s2bm_ard_3-2-1_50KNA_2023-11-07_final
2023-12-04 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-04_final
2023-12-10 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-12-10_final
2023-12-24 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-24_final
2024-01-19 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-01-19_final
2024-01-26 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-01-26_final
2024-03-10 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2024-03-10_final
2024-03-12 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2024-03-12_final
2024-03-19 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2024-03-19_final
2024-03-29 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-03-29_final
2024-05-02 11:46:08	ga_s2bm_ard_3-2-1_50JNM_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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