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 12:04:34	ga_s2bm_ard_3-2-1_49JGL_2017-07-04_final.stac-item
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKP_2017-07-04_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLP_2017-07-31_final.stac-item
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2017-08-13_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JLQ_2017-09-09_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-05_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMH_2017-12-25_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGN_2018-01-10_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKS_2018-01-10_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMJ_2018-02-03_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLJ_2018-02-16_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLQ_2018-02-19_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMJ_2018-03-05_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLH_2018-03-08_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLP_2018-03-11_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKN_2018-03-18_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JLP_2018-03-18_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQJ_2018-03-22_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-03-31_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-04-03_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JKR_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JFM_2018-04-13_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLM_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKS_2018-04-20_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGJ_2018-05-30_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JLP_2018-07-06_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNK_2018-08-22_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGM_2018-09-07_final.stac-item
2019-01-12 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-01-12_final.stac-item
2019-02-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-18_final.stac-item
2019-03-26 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2019-03-26_final.stac-item
2019-04-05 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2019-04-05_final.stac-item
2019-04-09 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2019-04-09_final.stac-item
2019-04-09 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2019-04-09_final.stac-item
2019-04-15 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-04-15_final.stac-item
2019-04-26 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-04-26_final.stac-item
2019-05-05 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-05_final.stac-item
2019-05-15 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-15_final.stac-item
2019-05-22 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-05-22_final.stac-item
2019-05-22 11:56:45	ga_s2bm_ard_3-2-1_50HMK_2019-05-22_final.stac-item
2019-05-22 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-22_final.stac-item
2019-05-25 12:05:35	ga_s2bm_ard_3-2-1_50JLQ_2019-05-25_final.stac-item
2019-05-26 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-26_final.stac-item
2019-05-28 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-05-28_final.stac-item
2019-05-29 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-29_final.stac-item
2019-10-13 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-10-13_final.stac-item
2019-10-29 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-29_final.stac-item
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final.stac-item
2020-01-04 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-04_final.stac-item
2020-01-14 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-01-14_final.stac-item
2020-01-30 12:04:49	ga_s2bm_ard_3-2-1_50JKS_2020-01-30_final.stac-item
2020-02-13 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-02-13_final.stac-item
2020-03-24 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-03-24_final.stac-item
2020-05-09 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2020-05-09_final.stac-item
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final.stac-item
2020-10-23 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-10-23_final.stac-item
2020-10-23 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2020-10-23_final.stac-item
2020-10-23 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2020-10-23_final.stac-item
2020-10-23 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-10-23_final.stac-item
2020-10-26 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2020-10-26_final.stac-item
2020-11-09 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-11-09_final.stac-item
2020-12-29 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-29_final.stac-item
2021-01-08 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-01-08_final.stac-item
2021-01-11 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-01-11_final.stac-item
2021-01-18 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-01-18_final
2021-03-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-03-19_final
2021-03-22 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-03-22_final.stac-item
2021-03-26 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-26_final.stac-item
2021-03-29 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-03-29_final.stac-item
2021-03-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_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
2021-04-21 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2021-04-21_final.stac-item
2021-04-21 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-04-21_final.stac-item
2021-04-24 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-04-24_final.stac-item
2021-04-28 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-04-28_final.stac-item
2021-04-28 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-04-28_final.stac-item
2021-05-21 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-05-21_final.stac-item
2021-05-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-05-24_final.stac-item
2021-05-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-24_final.stac-item
2021-06-03 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-06-03_final.stac-item
2021-06-10 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2021-06-10_final.stac-item
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final.stac-item
2021-06-17 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-06-17_final.stac-item
2021-06-30 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-06-30_final.stac-item
2021-06-30 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-30_final.stac-item
2021-07-10 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-10_final.stac-item
2021-07-13 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2021-07-13_final.stac-item
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2021-07-23_final.stac-item
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final.stac-item
2021-08-19 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-08-19_final.stac-item
2021-08-22 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-08-22_final.stac-item
2022-02-12 11:46:57	ga_s2bm_ard_3-2-1_50HMH_2022-02-12_final.stac-item
2023-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-01-11_final.stac-item
2023-01-21 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-21_final.stac-item
2023-01-21 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-01-21_final.stac-item
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_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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