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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HMJ_2017-07-18_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2017-09-02_final.stac-item
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGM_2017-09-15_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HNK_2017-12-05_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-12-11_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMJ_2017-12-28_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-01-13_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-30_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPJ_2018-04-01_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPK_2018-04-01_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMK_2018-04-24_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPH_2018-06-23_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HNK_2018-07-06_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JPL_2018-07-23_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLP_2018-08-05_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-08-29_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HLH_2018-09-01_final.stac-item
2018-11-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-06_final.stac-item
2018-12-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-12-26_final.stac-item
2019-01-29 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-01-29_final.stac-item
2019-02-21 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-21_final.stac-item
2019-03-23 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-03-23_final.stac-item
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final.stac-item
2019-05-25 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-25_final.stac-item
2019-05-26 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-26_final.stac-item
2019-07-01 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-01_final.stac-item
2019-10-06 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-06_final.stac-item
2019-10-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-09_final.stac-item
2019-11-01 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-11-01_final.stac-item
2019-11-01 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-11-01_final.stac-item
2019-12-25 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2019-12-25_final.stac-item
2020-01-10 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-01-10_final.stac-item
2020-01-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2020-01-13_final.stac-item
2020-03-07 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2020-03-07_final.stac-item
2020-06-29 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-29_final.stac-item
2020-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-10_final.stac-item
2020-08-21 11:45:36	ga_s2bm_ard_3-2-1_50JQP_2020-08-21_final.stac-item
2020-11-02 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-11-02_final.stac-item
2020-11-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-11-08_final.stac-item
2020-12-02 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2020-12-02_final.stac-item
2020-12-19 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2020-12-19_final.stac-item
2021-02-23 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-02-23_final.stac-item
2021-04-05 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-04-05_final.stac-item
2021-05-08 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2021-05-08_final.stac-item
2021-05-11 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-05-11_final.stac-item
2021-05-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-05-24_final.stac-item
2021-06-17 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-17_final.stac-item
2021-07-03 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final.stac-item
2021-07-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-07-04_final.stac-item
2021-07-07 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2021-07-07_final.stac-item
2021-07-07 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2021-07-07_final.stac-item
2021-07-07 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-07_final.stac-item
2021-07-24 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2021-07-24_final.stac-item
2021-07-30 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2021-07-30_final.stac-item
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final.stac-item
2021-09-02 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2021-09-02_final.stac-item
2021-11-10 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-11-10_final.stac-item
2021-12-27 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2021-12-27_final.stac-item
2021-12-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-12-30_final.stac-item
2022-02-11 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-11_final.stac-item
2022-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-03-24_final.stac-item
2022-05-13 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-05-13_final.stac-item
2022-05-13 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-05-13_final.stac-item
2022-05-26 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2022-05-26_final.stac-item
2022-07-15 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-07-15_final.stac-item
2022-07-18 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final.stac-item
2022-08-11 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2022-08-11_final.stac-item
2022-09-13 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2022-09-13_final.stac-item
2022-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-09-29_final.stac-item
2022-10-26 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2022-10-26_final.stac-item
2022-11-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-11-08_final.stac-item
2022-11-25 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-11-25_final.stac-item
2023-01-14 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2023-01-14_final.stac-item
2023-01-21 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2023-01-21_final.stac-item
2023-02-03 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-02-03_final.stac-item
2023-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-02-17_final
2023-02-20 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-02-20_final
2023-02-27 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-02-27_final
2023-04-18 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-18_final
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final
2023-06-06 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-06_final
2023-06-14 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-06-14_final
2023-06-16 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-06-16_final
2023-07-14 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-07-14_final
2023-10-18 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-10-18_final
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final
2023-11-10 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-11-10_final
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-30_final
2023-11-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final
2023-12-10 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-12-10_final
2023-12-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-20_final
2024-01-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-01-19_final
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-02-18_final
2024-02-28 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2024-02-28_final
2024-02-29 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2024-02-29_final
2024-04-28 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2024-04-28_final
2024-05-12 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2024-05-12_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