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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLH_2017-09-09_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JML_2017-11-18_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMK_2017-11-28_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGK_2017-12-01_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JML_2017-12-15_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLJ_2018-02-16_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKP_2018-02-16_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNK_2018-03-05_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HQK_2018-05-14_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KGP_2018-07-09_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HQK_2018-07-23_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-08-08_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-08-12_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNQ_2018-10-14_final.stac-item
2018-12-27 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2018-12-27_final.stac-item
2019-01-02 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-01-02_final.stac-item
2019-01-25 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-01-25_final.stac-item
2019-02-11 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2019-02-11_final.stac-item
2019-02-15 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2019-02-15_final.stac-item
2019-03-13 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2019-03-13_final.stac-item
2019-05-12 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-05-12_final.stac-item
2019-08-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2019-08-26_final.stac-item
2019-10-06 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2019-10-06_final.stac-item
2019-10-25 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2019-10-25_final.stac-item
2019-11-11 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2019-11-11_final.stac-item
2019-11-21 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-11-21_final.stac-item
2019-11-22 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2019-11-22_final.stac-item
2019-12-01 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2019-12-01_final.stac-item
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final.stac-item
2020-01-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-01-13_final.stac-item
2020-02-16 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-02-16_final.stac-item
2020-02-23 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2020-02-23_final.stac-item
2020-03-21 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2020-03-21_final.stac-item
2020-04-06 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2020-04-06_final.stac-item
2020-04-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-04-22_final.stac-item
2020-04-26 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2020-04-26_final.stac-item
2020-05-13 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2020-05-13_final.stac-item
2020-05-22 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2020-05-22_final.stac-item
2020-06-05 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2020-06-05_final.stac-item
2020-06-22 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-06-22_final.stac-item
2020-07-31 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-07-31_final.stac-item
2020-08-30 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-08-30_final.stac-item
2020-10-09 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2020-10-09_final.stac-item
2020-10-30 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-30_final.stac-item
2020-11-19 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2020-11-19_final.stac-item
2020-12-09 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2020-12-09_final.stac-item
2020-12-12 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2020-12-12_final.stac-item
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final.stac-item
2021-02-17 11:46:39	ga_s2bm_ard_3-2-1_50HPJ_2021-02-17_final.stac-item
2021-03-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-28_final.stac-item
2021-04-21 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2021-04-21_final.stac-item
2021-04-27 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-04-27_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 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-05-28_final.stac-item
2021-06-07 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-06-07_final.stac-item
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-07-03_final.stac-item
2021-07-26 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-07-26_final.stac-item
2021-07-26 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2021-07-26_final.stac-item
2021-09-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-09-22_final.stac-item
2021-10-14 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-10-14_final.stac-item
2021-11-30 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2021-11-30_final.stac-item
2022-01-02 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2022-01-02_final.stac-item
2022-01-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-01-22_final.stac-item
2022-02-02 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2022-02-02_final.stac-item
2022-02-02 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-02-02_final.stac-item
2022-02-21 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-02-21_final.stac-item
2022-03-10 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-03-10_final.stac-item
2022-03-30 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2022-03-30_final.stac-item
2022-04-06 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2022-04-06_final.stac-item
2022-04-16 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2022-04-16_final.stac-item
2022-04-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-04-19_final.stac-item
2022-04-30 11:36:45	ga_s2bm_ard_3-2-1_50HPJ_2022-04-30_final.stac-item
2022-05-06 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-06_final.stac-item
2022-05-13 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-05-13_final.stac-item
2022-07-18 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2022-07-18_final.stac-item
2022-08-14 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2022-08-14_final.stac-item
2022-08-17 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2022-08-17_final.stac-item
2022-09-20 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2022-09-20_final.stac-item
2022-11-22 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-22_final.stac-item
2023-03-08 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-03-08_final
2023-03-09 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2023-03-09_final
2023-03-29 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-03-29_final
2023-04-04 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-04-04_final
2023-04-17 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-04-17_final
2023-05-07 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-05-07_final
2023-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-06-30_final
2023-07-03 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-07-03_final
2023-07-20 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2023-07-20_final
2023-08-05 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-08-05_final
2023-09-12 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-09-12_final
2023-10-08 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-10-08_final
2023-11-17 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2023-11-17_final
2023-12-24 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2023-12-24_final
2024-01-23 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2024-01-23_final
2024-01-26 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-01-26_final
2024-01-29 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2024-01-29_final
2024-02-02 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2024-02-02_final
2024-02-05 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2024-02-05_final
2024-02-12 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2024-02-12_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