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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHR_2017-07-24_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHQ_2017-09-02_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGK_2017-11-01_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HNH_2017-11-05_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JMM_2017-11-08_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HQJ_2017-12-05_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHQ_2017-12-21_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLN_2018-02-06_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-01_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLN_2018-03-31_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HLH_2018-04-14_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50JPL_2018-06-30_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JPM_2018-07-23_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HLK_2018-08-05_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHP_2018-09-07_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JQP_2018-10-01_final.stac-item
2019-02-11 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-11_final.stac-item
2019-02-18 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2019-02-18_final.stac-item
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-05-08_final.stac-item
2019-06-21 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-06-21_final.stac-item
2019-06-27 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-06-27_final.stac-item
2019-07-14 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-07-14_final.stac-item
2019-08-07 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-08-07_final.stac-item
2019-08-16 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2019-08-16_final.stac-item
2019-09-06 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2019-09-06_final.stac-item
2019-09-12 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-09-12_final.stac-item
2019-11-08 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-11-08_final.stac-item
2019-11-12 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2019-11-12_final.stac-item
2019-12-05 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2019-12-05_final.stac-item
2019-12-05 11:45:18	ga_s2bm_ard_3-2-1_50JNQ_2019-12-05_final.stac-item
2019-12-15 11:44:29	ga_s2bm_ard_3-2-1_50JQT_2019-12-15_final.stac-item
2019-12-15 11:46:22	ga_s2bm_ard_3-2-1_50JML_2019-12-15_final.stac-item
2019-12-15 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2019-12-15_final.stac-item
2020-01-27 11:56:47	ga_s2bm_ard_3-2-1_50HLJ_2020-01-27_final.stac-item
2020-02-13 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2020-02-13_final.stac-item
2020-02-23 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-02-23_final.stac-item
2020-03-03 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-03_final.stac-item
2020-03-11 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2020-03-11_final.stac-item
2020-03-30 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-30_final.stac-item
2020-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-03-30_final.stac-item
2020-06-25 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2020-06-25_final.stac-item
2020-06-25 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2020-06-25_final.stac-item
2020-07-02 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-07-02_final.stac-item
2020-07-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-07-21_final.stac-item
2020-07-31 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-07-31_final.stac-item
2020-08-27 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2020-08-27_final.stac-item
2020-09-29 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-09-29_final.stac-item
2020-10-27 11:34:40	ga_s2bm_ard_3-2-1_50JRT_2020-10-27_final.stac-item
2020-11-12 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2020-11-12_final.stac-item
2020-11-19 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2020-11-19_final.stac-item
2020-12-02 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2020-12-02_final.stac-item
2020-12-16 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-12-16_final.stac-item
2020-12-22 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2020-12-22_final.stac-item
2021-01-04 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-01-04_final.stac-item
2021-01-08 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-01-08_final.stac-item
2021-03-22 11:56:21	ga_s2bm_ard_3-2-1_50JML_2021-03-22_final.stac-item
2021-05-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-05-07_final.stac-item
2021-05-31 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2021-05-31_final.stac-item
2021-06-23 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-06-23_final.stac-item
2021-07-10 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-10_final.stac-item
2021-08-12 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-08-12_final.stac-item
2021-08-25 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-08-25_final.stac-item
2021-08-29 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2021-08-29_final.stac-item
2021-10-01 12:04:21	ga_s2bm_ard_3-2-1_50KKU_2021-10-01_final.stac-item
2021-10-04 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-10-04_final.stac-item
2021-10-05 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2021-10-05_final.stac-item
2021-11-07 11:56:02	ga_s2bm_ard_3-2-1_50JMN_2021-11-07_final.stac-item
2021-12-13 12:14:31	ga_s2bm_ard_3-2-1_49JGN_2021-12-13_final.stac-item
2022-02-02 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-02_final.stac-item
2022-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-03-13_final.stac-item
2022-04-19 12:04:36	ga_s2bm_ard_3-2-1_49JGN_2022-04-19_final.stac-item
2022-05-02 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-05-02_final.stac-item
2022-05-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-05-09_final.stac-item
2022-05-26 11:56:22	ga_s2bm_ard_3-2-1_50JML_2022-05-26_final.stac-item
2022-06-01 12:14:18	ga_s2bm_ard_3-2-1_50KKU_2022-06-01_final.stac-item
2022-06-12 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2022-06-12_final.stac-item
2022-08-17 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2022-08-17_final.stac-item
2022-08-27 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2022-08-27_final.stac-item
2022-09-10 11:46:28	ga_s2bm_ard_3-2-1_50JML_2022-09-10_final.stac-item
2022-09-17 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-09-17_final.stac-item
2022-09-27 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-09-27_final.stac-item
2022-10-23 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2022-10-23_final.stac-item
2023-01-24 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-01-24_final.stac-item
2023-02-06 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-06_final
2023-03-05 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2023-03-05_final
2023-05-11 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-05-11_final
2023-05-17 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-05-17_final
2023-09-15 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2023-09-15_final
2023-09-25 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2023-09-25_final
2023-11-03 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-11-03_final
2023-11-14 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2023-11-14_final
2023-11-24 11:45:41	ga_s2bm_ard_3-2-1_50JQN_2023-11-24_final
2023-11-24 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2023-11-24_final
2024-01-23 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2024-01-23_final
2024-02-18 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-02-18_final
2024-03-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-02_final
2024-03-22 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-03-22_final
2024-04-12 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-04-12_final
2024-04-21 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2024-04-21_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

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