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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49JGN_2017-07-04_final.stac-item
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KGP_2017-07-04_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGL_2017-08-03_final.stac-item
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-13_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JMM_2017-12-05_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JNN_2017-12-05_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKP_2018-01-07_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLJ_2018-01-07_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JQL_2018-01-11_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JML_2018-01-24_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGP_2018-03-04_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2018-03-21_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50KKA_2018-03-31_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNK_2018-05-04_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HPK_2018-05-11_final.stac-item
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49KGP_2018-05-13_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNH_2018-06-03_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JKN_2018-06-16_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_50JQR_2018-07-03_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKT_2018-08-18_final.stac-item
2018-12-20 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2018-12-20_final.stac-item
2019-01-02 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2019-01-02_final.stac-item
2019-01-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-01-16_final.stac-item
2019-02-01 11:54:55	ga_s2bm_ard_3-2-1_50JMS_2019-02-01_final.stac-item
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final.stac-item
2019-02-25 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-02-25_final.stac-item
2019-02-28 11:46:24	ga_s2bm_ard_3-2-1_50JML_2019-02-28_final.stac-item
2019-04-09 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2019-04-09_final.stac-item
2019-04-25 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2019-04-25_final.stac-item
2019-05-09 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-05-09_final.stac-item
2019-05-18 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-05-18_final.stac-item
2019-07-14 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-07-14_final.stac-item
2019-07-14 12:06:13	ga_s2bm_ard_3-2-1_50JLM_2019-07-14_final.stac-item
2019-08-17 11:46:29	ga_s2bm_ard_3-2-1_50JNL_2019-08-17_final.stac-item
2019-08-26 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-08-26_final.stac-item
2019-08-27 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2019-08-27_final.stac-item
2019-09-16 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2019-09-16_final.stac-item
2019-09-25 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-09-25_final.stac-item
2019-12-11 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2019-12-11_final.stac-item
2019-12-12 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2019-12-12_final.stac-item
2020-01-27 11:56:15	ga_s2bm_ard_3-2-1_50JML_2020-01-27_final.stac-item
2020-04-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2020-04-12_final.stac-item
2020-05-13 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-05-13_final.stac-item
2020-05-16 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2020-05-16_final.stac-item
2020-05-23 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2020-05-23_final.stac-item
2020-05-30 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-05-30_final.stac-item
2020-06-08 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-06-08_final.stac-item
2020-07-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2020-07-15_final.stac-item
2020-07-31 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-31_final.stac-item
2020-10-07 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-10-07_final.stac-item
2020-10-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-10-29_final.stac-item
2020-11-09 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-11-09_final.stac-item
2020-11-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2020-11-26_final.stac-item
2021-01-11 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2021-01-11_final
2021-01-21 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2021-01-21_final.stac-item
2021-01-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-01-24_final.stac-item
2021-02-04 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-02-04_final.stac-item
2021-02-14 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2021-02-14_final
2021-03-12 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2021-03-12_final.stac-item
2021-03-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-03-29_final.stac-item
2021-04-05 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2021-04-05_final.stac-item
2021-04-17 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-04-17_final.stac-item
2021-04-27 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-04-27_final.stac-item
2021-04-27 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-04-27_final.stac-item
2021-06-07 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2021-06-07_final.stac-item
2021-06-17 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2021-06-17_final.stac-item
2021-10-31 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-10-31_final.stac-item
2021-11-30 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2021-11-30_final.stac-item
2022-01-26 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2022-01-26_final.stac-item
2022-02-12 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final.stac-item
2022-02-22 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-02-22_final.stac-item
2022-03-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2022-03-03_final.stac-item
2022-03-14 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2022-03-14_final.stac-item
2022-04-06 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2022-04-06_final.stac-item
2022-04-12 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-04-12_final.stac-item
2022-06-28 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2022-06-28_final.stac-item
2022-08-24 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-08-24_final.stac-item
2022-09-06 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2022-09-06_final.stac-item
2022-09-10 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2022-09-10_final.stac-item
2022-09-17 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2022-09-17_final.stac-item
2022-09-30 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-09-30_final.stac-item
2023-01-01 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2023-01-01_final.stac-item
2023-04-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-04-21_final
2023-05-24 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2023-05-24_final
2023-06-30 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2023-06-30_final
2023-07-16 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-07-16_final
2023-07-16 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-16_final
2023-08-19 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-08-19_final
2023-08-19 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-08-19_final
2023-08-29 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2023-08-29_final
2023-10-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2023-10-05_final
2023-11-17 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2023-11-17_final
2023-12-07 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2023-12-07_final
2023-12-17 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-12-17_final
2023-12-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-12-17_final
2024-01-02 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-01-02_final
2024-01-06 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2024-01-06_final
2024-02-02 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-02-02_final
2024-05-08 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2024-05-08_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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