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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HMH_2017-10-06_final.stac-item
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HPH_2017-10-13_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-10-25_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-11-04_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNK_2017-11-15_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JML_2018-01-07_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMM_2018-04-17_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HPK_2018-06-03_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLP_2018-06-06_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-06-12_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JKP_2018-08-08_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-08-11_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-08-12_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50JMT_2018-08-15_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLH_2018-08-25_final.stac-item
2018-11-07 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-07_final.stac-item
2018-11-23 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2018-11-23_final.stac-item
2018-12-09 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-09_final.stac-item
2019-01-02 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2019-01-02_final.stac-item
2019-01-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-01-08_final.stac-item
2019-01-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2019-01-09_final.stac-item
2019-01-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2019-01-15_final.stac-item
2019-03-03 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2019-03-03_final.stac-item
2019-03-03 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2019-03-03_final.stac-item
2019-06-05 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-06-05_final.stac-item
2019-06-05 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-06-05_final.stac-item
2019-08-17 11:46:32	ga_s2bm_ard_3-2-1_50JML_2019-08-17_final.stac-item
2019-09-15 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-09-15_final.stac-item
2019-10-15 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2019-10-15_final.stac-item
2019-10-15 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-10-15_final.stac-item
2019-11-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-11-05_final.stac-item
2019-11-14 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-11-14_final.stac-item
2019-11-21 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-11-21_final.stac-item
2019-12-11 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-11_final.stac-item
2020-01-10 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2020-01-10_final.stac-item
2020-01-30 12:04:23	ga_s2bm_ard_3-2-1_49KGP_2020-01-30_final.stac-item
2020-03-04 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2020-03-04_final.stac-item
2020-03-10 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-03-10_final.stac-item
2020-03-17 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-17_final.stac-item
2020-04-29 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-04-29_final.stac-item
2020-05-06 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2020-05-06_final.stac-item
2020-05-06 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2020-05-06_final.stac-item
2020-06-02 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2020-06-02_final.stac-item
2020-06-05 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2020-06-05_final.stac-item
2020-07-05 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2020-07-05_final.stac-item
2020-07-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2020-07-22_final.stac-item
2020-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-07-25_final.stac-item
2020-08-31 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-31_final.stac-item
2020-09-26 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-09-26_final.stac-item
2020-10-20 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-20_final.stac-item
2020-10-23 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-23_final.stac-item
2020-11-12 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2020-11-12_final.stac-item
2020-11-15 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-11-15_final.stac-item
2020-11-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2020-11-22_final.stac-item
2020-11-29 11:46:26	ga_s2bm_ard_3-2-1_50JML_2020-11-29_final.stac-item
2020-12-09 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-12-09_final.stac-item
2021-01-04 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-01-04_final.stac-item
2021-01-08 11:46:20	ga_s2bm_ard_3-2-1_50JML_2021-01-08_final.stac-item
2021-01-15 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-01-15_final.stac-item
2021-04-18 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-04-18_final.stac-item
2021-04-24 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-04-24_final.stac-item
2021-06-13 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-06-13_final.stac-item
2021-07-10 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-10_final.stac-item
2021-08-02 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-08-02_final.stac-item
2021-08-09 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-08-09_final.stac-item
2021-09-24 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2021-09-24_final.stac-item
2021-10-15 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-15_final.stac-item
2021-11-04 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-11-04_final.stac-item
2021-11-17 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-11-17_final.stac-item
2022-01-06 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-01-06_final.stac-item
2022-01-29 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2022-01-29_final.stac-item
2022-02-08 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-02-08_final.stac-item
2022-02-15 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-02-15_final.stac-item
2022-02-15 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-02-15_final.stac-item
2022-03-07 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-03-07_final.stac-item
2022-04-19 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-04-19_final.stac-item
2022-05-10 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-05-10_final.stac-item
2022-07-15 11:55:54	ga_s2bm_ard_3-2-1_50JNN_2022-07-15_final.stac-item
2022-07-25 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2022-07-25_final.stac-item
2022-08-17 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2022-08-17_final.stac-item
2022-08-18 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2022-08-18_final.stac-item
2022-09-17 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2022-09-17_final.stac-item
2022-11-28 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-11-28_final.stac-item
2022-11-29 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-11-29_final.stac-item
2022-12-19 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-12-19_final.stac-item
2023-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-01-04_final.stac-item
2023-03-15 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-03-15_final
2023-05-18 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-05-18_final
2023-05-24 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2023-05-24_final
2023-06-13 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-06-13_final
2023-06-14 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-06-14_final
2023-06-27 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-06-27_final
2023-06-30 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-06-30_final
2023-09-15 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2023-09-15_final
2023-10-25 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-10-25_final
2023-12-24 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2023-12-24_final
2023-12-24 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2023-12-24_final
2023-12-27 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-12-27_final
2024-01-06 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2024-01-06_final
2024-01-30 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2024-01-30_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

All years