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_49KHQ_2017-07-04_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2017-09-02_final.stac-item
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGK_2017-10-02_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHP_2017-11-11_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGN_2017-12-01_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-24_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLL_2018-01-27_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMJ_2018-02-13_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HQJ_2018-02-13_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-02-19_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JMM_2018-03-08_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMK_2018-05-07_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMH_2018-06-06_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JMP_2018-06-26_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHN_2018-07-09_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQK_2018-08-02_final.stac-item
2018-12-03 11:55:34	ga_s2bm_ard_3-2-1_50JMP_2018-12-03_final.stac-item
2018-12-26 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2018-12-26_final.stac-item
2019-01-12 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-01-12_final.stac-item
2019-02-11 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-02-11_final.stac-item
2019-02-21 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2019-02-21_final.stac-item
2019-02-28 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-02-28_final.stac-item
2019-03-10 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2019-03-10_final.stac-item
2019-03-19 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-03-19_final.stac-item
2019-03-20 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-03-20_final.stac-item
2019-04-05 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2019-04-05_final.stac-item
2019-04-26 11:36:41	ga_s2bm_ard_3-2-1_50HQK_2019-04-26_final.stac-item
2019-05-09 11:47:00	ga_s2bm_ard_3-2-1_50HNJ_2019-05-09_final.stac-item
2019-07-08 11:46:39	ga_s2bm_ard_3-2-1_50HQK_2019-07-08_final.stac-item
2019-08-20 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2019-08-20_final.stac-item
2019-09-12 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-09-12_final.stac-item
2019-10-09 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2019-10-09_final.stac-item
2019-10-22 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2019-10-22_final.stac-item
2019-10-29 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2019-10-29_final.stac-item
2019-11-05 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2019-11-05_final.stac-item
2019-12-01 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2019-12-01_final.stac-item
2019-12-31 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2019-12-31_final.stac-item
2020-01-24 11:46:19	ga_s2bm_ard_3-2-1_50JML_2020-01-24_final.stac-item
2020-02-10 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2020-02-10_final.stac-item
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final.stac-item
2020-03-04 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-04_final.stac-item
2020-03-27 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-03-27_final.stac-item
2020-04-20 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2020-04-20_final.stac-item
2020-07-11 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-07-11_final.stac-item
2020-08-27 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-08-27_final.stac-item
2020-10-03 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-10-03_final.stac-item
2020-12-22 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-12-22_final.stac-item
2020-12-29 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2020-12-29_final.stac-item
2021-01-04 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-01-04_final.stac-item
2021-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-03-05_final.stac-item
2021-03-09 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-03-09_final.stac-item
2021-04-18 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2021-04-18_final.stac-item
2021-05-01 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-05-01_final.stac-item
2021-07-03 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-07-03_final.stac-item
2021-07-10 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-07-10_final.stac-item
2021-11-04 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-11-04_final.stac-item
2021-11-24 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2021-11-24_final.stac-item
2021-11-27 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2021-11-27_final.stac-item
2021-12-31 11:36:27	ga_s2bm_ard_3-2-1_50HPK_2021-12-31_final.stac-item
2022-01-23 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-01-23_final.stac-item
2022-02-02 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-02_final.stac-item
2022-02-25 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2022-02-25_final.stac-item
2022-02-28 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-02-28_final.stac-item
2022-03-11 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2022-03-11_final.stac-item
2022-06-25 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2022-06-25_final.stac-item
2022-08-27 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-08-27_final.stac-item
2022-08-31 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2022-08-31_final.stac-item
2022-10-16 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-10-16_final.stac-item
2022-10-19 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-10-26 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2022-10-26_final.stac-item
2022-11-22 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2022-11-22_final.stac-item
2022-12-05 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-12-05_final.stac-item
2022-12-09 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2022-12-09_final.stac-item
2023-01-08 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-08_final.stac-item
2023-01-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-01-14_final.stac-item
2023-02-03 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-02-03_final.stac-item
2023-02-03 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2023-02-03_final.stac-item
2023-03-12 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-03-12_final
2023-05-01 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2023-05-01_final
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final
2023-05-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-05-08_final
2023-08-19 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-08-19_final
2023-08-23 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-08-23_final
2023-09-08 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2023-09-08_final
2023-09-08 11:56:26	ga_s2bm_ard_3-2-1_50JML_2023-09-08_final
2023-09-08 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-08_final
2023-10-01 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-01_final
2023-10-05 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2023-10-05_final
2023-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-10-08_final
2023-10-15 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-10-15_final
2023-10-18 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2023-10-18_final
2023-11-01 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-11-01_final
2023-11-07 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-11-07_final
2023-11-11 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-11-11_final
2024-01-09 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2024-01-09_final
2024-02-08 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2024-02-08_final
2024-02-08 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2024-02-08_final
2024-03-26 11:56:22	ga_s2bm_ard_3-2-1_50JML_2024-03-26_final
2024-04-08 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2024-04-08_final
2024-05-08 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_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

All years