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_50HNJ_2017-07-18_final.stac-item
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGK_2017-07-27_final.stac-item
2017-10-30 11:25:33	ga_s2bm_ard_3-2-1_51JUF_2017-10-30_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50KNC_2017-11-08_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMM_2017-11-28_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50KKB_2017-12-01_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HPH_2017-12-25_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50KNC_2018-01-10_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HPH_2018-02-03_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLJ_2018-02-06_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KMC_2018-03-08_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMN_2018-04-27_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-22_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLS_2018-08-05_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMN_2018-08-05_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMT_2018-10-14_final.stac-item
2018-11-23 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2018-11-23_final.stac-item
2018-11-27 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2018-11-27_final.stac-item
2018-12-19 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2018-12-19_final.stac-item
2018-12-30 11:44:20	ga_s2bm_ard_3-2-1_50KPU_2018-12-30_final.stac-item
2019-01-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2019-01-06_final.stac-item
2019-02-15 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-02-15_final.stac-item
2019-04-16 11:35:24	ga_s2bm_ard_3-2-1_51JTK_2019-04-16_final.stac-item
2019-05-18 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-05-18_final.stac-item
2019-06-11 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-06-11_final.stac-item
2019-06-21 11:53:58	ga_s2bm_ard_3-2-1_50KPA_2019-06-21_final.stac-item
2019-07-02 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-02_final.stac-item
2019-07-11 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-07-11_final.stac-item
2019-07-21 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-21_final.stac-item
2019-08-13 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-08-13_final.stac-item
2019-09-02 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-09-02_final.stac-item
2019-11-02 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2019-11-02_final.stac-item
2019-11-18 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2019-11-18_final.stac-item
2019-11-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-11-21_final.stac-item
2019-12-08 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-08_final.stac-item
2020-02-20 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2020-02-20_final.stac-item
2020-03-20 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2020-03-20_final.stac-item
2020-03-21 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2020-03-21_final.stac-item
2020-04-06 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2020-04-06_final.stac-item
2020-06-09 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2020-06-09_final.stac-item
2020-07-18 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2020-07-18_final.stac-item
2020-07-25 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-07-25_final.stac-item
2020-07-26 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2020-07-26_final.stac-item
2020-08-27 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-08-27_final.stac-item
2020-09-17 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2020-09-17_final.stac-item
2020-10-06 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-06_final.stac-item
2020-10-10 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-10-10_final.stac-item
2020-10-16 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-16_final.stac-item
2020-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-11-06_final.stac-item
2020-11-15 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2020-11-15_final.stac-item
2020-12-28 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-28_final.stac-item
2021-01-08 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-01-08_final.stac-item
2021-01-15 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2021-01-15_final.stac-item
2021-01-22 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-01-22_final.stac-item
2021-03-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-03-02_final
2021-04-05 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-04-05_final.stac-item
2021-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-05-18_final.stac-item
2021-07-04 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-07-04_final.stac-item
2021-07-24 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2021-07-24_final.stac-item
2021-07-24 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-07-24_final.stac-item
2021-07-27 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-07-27_final.stac-item
2021-07-30 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-07-30_final.stac-item
2021-08-29 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2021-08-29_final
2021-09-22 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2021-09-22_final.stac-item
2021-10-22 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2021-10-22_final.stac-item
2021-10-28 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2021-10-28_final.stac-item
2022-01-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-01-02_final.stac-item
2022-01-19 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2022-01-19_final.stac-item
2022-01-19 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2022-01-19_final.stac-item
2022-03-07 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2022-03-07_final.stac-item
2022-04-16 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-04-16_final.stac-item
2022-05-09 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-05-09_final.stac-item
2022-05-16 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-05-16_final.stac-item
2022-06-21 12:14:23	ga_s2bm_ard_3-2-1_50KKU_2022-06-21_final.stac-item
2022-06-25 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-06-25_final.stac-item
2022-07-28 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2022-07-28_final.stac-item
2022-10-17 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-10-17_final.stac-item
2022-11-06 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2022-11-06_final.stac-item
2022-11-16 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2022-11-16_final.stac-item
2022-12-15 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-12-15_final.stac-item
2022-12-29 13:21:37	ga_s2bm_ard_3-2-1_47LKH_2022-12-29_interim
2023-02-07 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-02-07_final
2023-02-13 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-02-13_final
2023-04-18 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2023-04-18_final
2023-05-04 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-05-04_final
2023-06-27 11:45:04	ga_s2bm_ard_3-2-1_51JTL_2023-06-27_final
2023-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-10-08_final
2023-11-20 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-11-20_final
2023-11-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2023-11-24_final
2023-11-30 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-30_final
2024-01-03 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2024-01-03_final
2024-01-03 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-01-03_final
2024-01-26 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2024-01-26_final
2024-03-06 11:54:00	ga_s2bm_ard_3-2-1_50KPV_2024-03-06_final
2024-03-23 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2024-03-23_final
2024-04-09 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2024-04-09_final
2024-05-19 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2024-05-19_final
2024-05-29 11:35:30	ga_s2bm_ard_3-2-1_51JUJ_2024-05-29_nrt
2024-05-31 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2024-05-31_nrt
2024-05-31 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-05-31_nrt

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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