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
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JMP_2017-09-29_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JMM_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JNN_2017-11-15_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLQ_2017-11-18_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KHQ_2018-01-03_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLH_2018-01-14_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JMP_2018-01-17_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-04-13_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JMM_2018-04-14_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JLP_2018-05-17_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKR_2018-05-30_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JNQ_2018-06-06_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JLP_2018-07-06_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKQ_2018-10-07_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLP_2018-10-17_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HNK_2018-10-24_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-10-27_final.stac-item
2018-11-07 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2018-11-07_final.stac-item
2018-12-03 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2018-12-03_final.stac-item
2018-12-13 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2018-12-13_final.stac-item
2018-12-23 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2018-12-23_final.stac-item
2018-12-30 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2018-12-30_final.stac-item
2019-01-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-01-05_final.stac-item
2019-01-09 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2019-01-09_final.stac-item
2019-01-19 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2019-01-19_final.stac-item
2019-01-22 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2019-01-22_final.stac-item
2019-02-01 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2019-02-01_final.stac-item
2019-02-28 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2019-02-28_final.stac-item
2019-03-17 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2019-03-17_final.stac-item
2019-04-25 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-04-25_final.stac-item
2019-04-28 12:14:07	ga_s2bm_ard_3-2-1_49KHR_2019-04-28_final.stac-item
2019-05-09 11:46:38	ga_s2bm_ard_3-2-1_50HQK_2019-05-09_final.stac-item
2019-05-12 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-05-12_final.stac-item
2019-09-09 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2019-09-09_final.stac-item
2019-09-16 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-09-16_final.stac-item
2019-10-19 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2019-10-19_final.stac-item
2019-11-15 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2019-11-15_final.stac-item
2019-12-28 11:55:48	ga_s2bm_ard_3-2-1_50JMN_2019-12-28_final.stac-item
2020-01-04 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-04_final.stac-item
2020-01-20 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2020-01-20_final.stac-item
2020-05-26 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2020-05-26_final.stac-item
2020-06-02 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2020-06-02_final.stac-item
2020-08-17 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-08-17_final.stac-item
2020-08-18 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2020-08-18_final.stac-item
2020-09-13 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2020-09-13_final.stac-item
2020-10-10 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2020-10-10_final.stac-item
2020-10-16 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-10-16_final.stac-item
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final.stac-item
2020-12-19 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-12-19_final.stac-item
2021-01-11 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-01-11_final.stac-item
2021-03-19 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2021-03-19_final.stac-item
2021-03-19 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2021-03-19_final.stac-item
2021-03-22 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2021-03-22_final.stac-item
2021-04-11 11:55:31	ga_s2bm_ard_3-2-1_50JNP_2021-04-11_final.stac-item
2021-05-14 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-05-14_final.stac-item
2021-05-18 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2021-05-18_final.stac-item
2021-05-28 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-05-28_final.stac-item
2021-06-07 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2021-06-07_final.stac-item
2021-06-10 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2021-06-10_final.stac-item
2021-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-20 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2021-07-20_final.stac-item
2021-07-23 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2021-07-23_final.stac-item
2021-09-15 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-09-15_final
2021-09-21 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2021-09-21_final.stac-item
2021-10-15 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-10-15_final.stac-item
2021-11-27 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-11-27_final.stac-item
2021-12-07 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-12-07_final.stac-item
2021-12-20 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2021-12-20_final.stac-item
2022-01-03 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2022-01-03_final.stac-item
2022-02-19 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-02-19_final.stac-item
2022-03-07 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2022-03-07_final.stac-item
2022-03-14 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2022-03-14_final.stac-item
2022-04-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2022-04-06_final.stac-item
2022-06-05 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2022-06-05_final.stac-item
2022-06-08 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2022-06-08_final.stac-item
2022-06-25 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2022-06-25_final.stac-item
2022-08-20 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2022-08-20_final.stac-item
2022-08-31 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2022-08-31_final.stac-item
2022-09-06 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2022-09-06_final.stac-item
2022-09-06 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2022-09-06_final.stac-item
2022-10-29 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-10-29_final.stac-item
2022-12-25 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-12-25_final.stac-item
2023-02-07 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2023-02-07_final
2023-04-11 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2023-04-11_final
2023-05-01 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-05-01_final
2023-06-23 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-06-23_final
2023-07-07 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2023-07-07_final
2023-07-20 11:55:48	ga_s2bm_ard_3-2-1_50JLP_2023-07-20_final
2023-08-06 11:46:18	ga_s2bm_ard_3-2-1_50JMM_2023-08-06_final
2023-08-09 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-08-09_final
2023-10-18 11:56:10	ga_s2bm_ard_3-2-1_50JNM_2023-10-18_final
2023-10-25 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2023-10-25_final
2023-11-24 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2023-11-24_final
2023-11-27 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2023-11-27_final
2024-02-02 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-02_final
2024-04-05 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2024-04-05_final
2024-04-08 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2024-04-08_final
2024-04-19 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2024-04-19_final
2024-04-25 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2024-04-25_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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