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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2017-07-14_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JMM_2017-08-07_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JLR_2017-08-20_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50JNL_2017-11-05_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMQ_2017-12-18_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-01-20_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JML_2018-03-18_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLS_2018-04-07_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50HQK_2018-04-11_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGN_2018-04-20_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-04-23_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMK_2018-05-04_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HNK_2018-08-15_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JLS_2018-08-15_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JPN_2018-09-01_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JKS_2018-09-17_final.stac-item
2018-12-03 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2018-12-03_final.stac-item
2018-12-20 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2018-12-20_final.stac-item
2019-01-22 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-01-22_final.stac-item
2019-02-18 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-02-18_final.stac-item
2019-04-22 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-04-22_final.stac-item
2019-05-29 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final.stac-item
2019-06-28 11:45:48	ga_s2bm_ard_3-2-1_50JNP_2019-06-28_final.stac-item
2019-09-02 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2019-09-02_final.stac-item
2019-09-09 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2019-09-09_final.stac-item
2019-09-26 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2019-09-26_final.stac-item
2020-01-10 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-01-10_final.stac-item
2020-01-11 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2020-01-11_final.stac-item
2020-02-09 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-02-09_final.stac-item
2020-02-16 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2020-02-16_final.stac-item
2020-02-23 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2020-02-23_final.stac-item
2020-03-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2020-03-04_final.stac-item
2020-03-11 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2020-03-11_final.stac-item
2020-04-16 11:54:50	ga_s2bm_ard_3-2-1_50JMS_2020-04-16_final.stac-item
2020-04-19 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2020-04-19_final.stac-item
2020-04-26 11:55:11	ga_s2bm_ard_3-2-1_50JPQ_2020-04-26_final.stac-item
2020-05-29 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-05-29_final.stac-item
2020-06-08 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2020-06-08_final.stac-item
2020-07-02 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-07-02_final.stac-item
2020-07-29 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2020-07-29_final.stac-item
2020-08-04 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2020-08-04_final.stac-item
2020-09-06 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2020-09-06_final.stac-item
2020-09-13 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-09-13_final.stac-item
2020-10-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-10-06_final.stac-item
2020-10-06 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-10-06_final.stac-item
2020-10-20 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-10-20_final.stac-item
2020-11-12 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2020-11-12_final.stac-item
2020-11-15 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2020-11-15_final.stac-item
2020-11-19 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2020-11-19_final.stac-item
2021-02-17 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2021-02-17_final.stac-item
2021-03-02 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2021-03-02_final.stac-item
2021-03-26 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2021-03-26_final.stac-item
2021-04-01 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-04-01_final.stac-item
2021-04-21 11:54:57	ga_s2bm_ard_3-2-1_50JPR_2021-04-21_final.stac-item
2021-05-11 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-05-11_final.stac-item
2021-05-11 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-05-11_final.stac-item
2021-05-11 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-05-11_final.stac-item
2021-06-07 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2021-06-07_final.stac-item
2021-07-04 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-04_final
2021-08-19 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2021-08-19_final.stac-item
2021-10-15 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-10-15_final.stac-item
2021-11-07 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2021-11-07_final.stac-item
2022-02-02 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2022-02-02_final.stac-item
2022-04-10 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2022-04-10_final.stac-item
2022-05-06 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2022-05-06_final.stac-item
2022-05-13 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2022-05-13_final.stac-item
2022-05-16 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-05-16_final.stac-item
2022-05-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-05-19_final.stac-item
2022-06-05 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2022-06-05_final.stac-item
2022-08-04 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2022-08-04_final.stac-item
2022-09-17 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2022-09-17_final.stac-item
2022-09-30 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-09-30_final.stac-item
2022-10-06 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-10-06_final.stac-item
2022-11-25 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-11-25_final.stac-item
2022-11-25 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2022-11-25_final.stac-item
2022-12-12 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2022-12-12_final.stac-item
2023-01-28 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-28_final.stac-item
2023-02-03 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2023-02-03_final.stac-item
2023-02-03 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2023-02-03_final.stac-item
2023-02-23 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2023-02-23_final
2023-02-24 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-02-24_final
2023-03-09 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2023-03-09_final
2023-03-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2023-03-09_final
2023-04-14 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-04-14_final
2023-04-17 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2023-04-17_final
2023-04-28 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2023-04-28_final
2023-05-04 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2023-05-04_final
2023-05-28 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-05-28_final
2023-06-27 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-06-27_final
2023-07-13 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2023-07-13_final
2023-10-18 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2023-10-18_final
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-21_final
2023-10-25 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-10-25_final
2023-10-28 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2023-10-28_final
2023-11-01 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-11-01_final
2023-12-17 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2023-12-17_final
2023-12-20 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2023-12-20_final
2024-01-20 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2024-01-20_final
2024-01-23 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2024-01-23_final
2024-02-21 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-21_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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