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
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HPH_2017-11-22_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-11-24_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLN_2018-01-10_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKT_2018-01-20_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JLP_2018-01-20_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JML_2018-02-13_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-03-24_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-03-31_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMK_2018-04-14_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLJ_2018-04-27_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQJ_2018-05-21_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPH_2018-07-10_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HNK_2018-07-13_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JML_2018-09-21_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HQJ_2018-09-28_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGL_2018-10-30_final.stac-item
2018-11-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-16_final.stac-item
2018-12-20 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2018-12-20_final.stac-item
2019-01-12 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2019-01-12_final.stac-item
2019-02-28 11:46:24	ga_s2bm_ard_3-2-1_50JML_2019-02-28_final.stac-item
2019-02-28 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2019-02-28_final.stac-item
2019-04-12 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2019-04-12_final.stac-item
2019-06-04 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-06-04_final.stac-item
2019-06-05 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-06-05_final.stac-item
2019-06-21 11:55:21	ga_s2bm_ard_3-2-1_50JLR_2019-06-21_final.stac-item
2019-06-21 11:55:47	ga_s2bm_ard_3-2-1_50JMP_2019-06-21_final.stac-item
2019-08-07 11:46:41	ga_s2bm_ard_3-2-1_50HPK_2019-08-07_final.stac-item
2019-10-19 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2019-10-19_final.stac-item
2019-10-22 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-22_final.stac-item
2019-11-15 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2019-11-15_final.stac-item
2019-11-21 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2019-11-21_final.stac-item
2019-12-11 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2019-12-11_final.stac-item
2019-12-21 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-21_final.stac-item
2020-02-02 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-02-02_final.stac-item
2020-02-19 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2020-02-19_final.stac-item
2020-02-23 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-02-23_final.stac-item
2020-02-26 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-02-26_final.stac-item
2020-03-24 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-24_final.stac-item
2020-04-26 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2020-04-26_final.stac-item
2020-06-25 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2020-06-25_final.stac-item
2020-07-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2020-07-15_final.stac-item
2020-08-04 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2020-08-04_final.stac-item
2020-08-24 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-08-24_final.stac-item
2020-10-03 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-10-03_final.stac-item
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-10-16_final.stac-item
2020-10-16 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-16_final.stac-item
2020-11-09 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-11-09_final.stac-item
2020-11-19 11:46:27	ga_s2bm_ard_3-2-1_50JML_2020-11-19_final.stac-item
2021-01-01 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-01-01_final.stac-item
2021-01-27 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-01-27_final.stac-item
2021-01-28 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-28_final.stac-item
2021-01-31 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-01-31_final.stac-item
2021-03-02 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2021-03-02_final.stac-item
2021-03-25 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2021-03-25_final.stac-item
2021-04-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-07_final.stac-item
2021-05-18 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-05-18_final.stac-item
2021-05-28 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-05-28_final.stac-item
2021-06-04 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-04_final
2021-06-17 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2021-06-17_final.stac-item
2021-08-03 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-08-03_final.stac-item
2021-09-05 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2021-09-05_final
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final.stac-item
2021-11-07 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2021-11-07_final.stac-item
2021-11-17 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-11-17_final.stac-item
2021-11-23 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2021-11-23_final.stac-item
2021-12-04 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final.stac-item
2021-12-17 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2021-12-17_final.stac-item
2021-12-24 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-12-24_final.stac-item
2022-03-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-03-17_final.stac-item
2022-03-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-03-17_final.stac-item
2022-04-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-04-09_final.stac-item
2022-05-16 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2022-05-16_final.stac-item
2022-05-29 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-29_final.stac-item
2022-07-12 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-07-12_final.stac-item
2022-07-18 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-18_final.stac-item
2022-07-18 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2022-07-18_final.stac-item
2022-07-25 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2022-07-25_final.stac-item
2022-07-25 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-25_final.stac-item
2022-08-07 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-08-07_final.stac-item
2022-08-24 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2022-08-24_final.stac-item
2022-08-24 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2022-08-24_final.stac-item
2022-10-03 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2022-10-03_final.stac-item
2023-01-08 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-01-08_final.stac-item
2023-03-29 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-03-29_final
2023-04-14 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2023-04-14_final
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_final
2023-09-04 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-09-04_final
2023-10-01 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-10-01_final
2023-10-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2023-10-05_final
2023-10-08 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-10-08_final
2023-11-17 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2023-11-17_final
2023-12-30 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-12-30_final
2024-01-06 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2024-01-06_final
2024-01-10 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2024-01-10_final
2024-02-25 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2024-02-25_final
2024-03-29 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-03-29_final
2024-04-15 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2024-04-15_final
2024-05-05 11:56:23	ga_s2bm_ard_3-2-1_50JML_2024-05-05_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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