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
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50KRC_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KTT_2017-11-15_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLN_2017-12-11_final.stac-item
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_51HTC_2018-01-01_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KQC_2018-01-14_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMH_2018-02-26_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVL_2018-03-02_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-03-21_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KUS_2018-05-11_final.stac-item
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KTU_2018-06-13_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HUC_2018-06-20_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLM_2018-06-29_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHR_2018-09-17_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KPC_2018-10-14_final.stac-item
2019-01-06 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-01-06_final.stac-item
2019-01-08 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-01-08_final.stac-item
2019-01-15 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2019-01-15_final.stac-item
2019-02-28 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-02-28_final.stac-item
2019-04-16 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2019-04-16_final.stac-item
2019-05-05 12:03:52	ga_s2bm_ard_3-2-1_50KKB_2019-05-05_final.stac-item
2019-05-16 11:36:14	ga_s2bm_ard_3-2-1_50JQM_2019-05-16_final.stac-item
2019-05-16 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-16_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-17 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-17_final.stac-item
2019-07-11 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-07-11_final.stac-item
2019-08-21 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2019-08-21_final.stac-item
2019-09-26 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2019-09-26_final.stac-item
2019-10-22 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-10-22_final.stac-item
2019-11-05 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2019-11-05_final.stac-item
2019-12-05 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2019-12-05_final.stac-item
2019-12-12 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-12_final.stac-item
2019-12-22 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2019-12-22_final.stac-item
2019-12-25 11:45:41	ga_s2bm_ard_3-2-1_50JQN_2019-12-25_final.stac-item
2020-01-30 12:05:48	ga_s2bm_ard_3-2-1_50JKN_2020-01-30_final.stac-item
2020-03-08 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-03-08_final.stac-item
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-03-13_final.stac-item
2020-04-02 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-04-02_final.stac-item
2020-07-31 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-07-31_final.stac-item
2020-08-07 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-08-07_final.stac-item
2020-10-27 11:34:21	ga_s2bm_ard_3-2-1_51KUP_2020-10-27_final.stac-item
2020-11-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2020-11-25_final.stac-item
2020-11-29 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2020-11-29_final.stac-item
2020-12-19 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2020-12-19_final.stac-item
2020-12-30 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2020-12-30_final.stac-item
2021-01-18 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-01-18_final.stac-item
2021-02-07 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-02-07_final.stac-item
2021-03-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-03-15_final.stac-item
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-03-29_final.stac-item
2021-05-02 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2021-05-02_final.stac-item
2021-05-19 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-05-19_final.stac-item
2021-05-22 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-05-22_final.stac-item
2021-06-10 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2021-06-10_final
2021-06-10 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-06-10_final.stac-item
2021-07-07 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2021-07-07_final.stac-item
2021-08-12 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-08-12_final.stac-item
2021-08-29 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2021-08-29_final.stac-item
2021-09-29 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2021-09-29_final
2021-10-25 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2021-10-25_final.stac-item
2021-11-04 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-11-04_final.stac-item
2021-11-07 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-11-07_final.stac-item
2021-11-11 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-11-11_final.stac-item
2021-11-25 11:14:25	ga_s2bm_ard_3-2-1_51JYN_2021-11-25_final.stac-item
2021-12-08 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-12-08_final.stac-item
2021-12-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-12-27_final.stac-item
2022-02-08 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2022-02-08_final.stac-item
2022-02-26 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2022-02-26_final.stac-item
2022-03-01 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2022-03-01_final.stac-item
2022-03-24 11:44:21	ga_s2bm_ard_3-2-1_50KPU_2022-03-24_final.stac-item
2022-03-27 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-03-27_final
2022-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-03-30_final.stac-item
2022-04-06 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2022-04-06_final.stac-item
2022-05-27 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2022-05-27_final.stac-item
2022-06-05 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-06-05_final.stac-item
2022-07-01 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2022-07-01_final.stac-item
2022-07-09 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2022-07-09_final.stac-item
2022-07-15 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2022-07-15_final.stac-item
2022-08-31 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2022-08-31_final.stac-item
2022-09-26 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-09-26_final.stac-item
2022-10-20 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-10-20_final.stac-item
2022-11-09 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-11-09_final.stac-item
2022-11-20 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-11-20_final.stac-item
2022-12-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-12-26_final.stac-item
2023-02-13 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2023-02-13_final
2023-06-03 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-03_final
2023-06-14 11:33:53	ga_s2bm_ard_3-2-1_51KUR_2023-06-14_final
2023-06-23 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-23_final
2023-07-26 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-07-26_final
2023-09-15 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2023-09-15_final
2023-10-01 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-01_final
2023-10-08 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-08_final
2023-10-09 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2023-10-09_final
2023-10-24 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-10-24_final
2023-10-25 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-10-25_final
2023-11-27 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2023-11-27_final
2023-12-04 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2023-12-04_final
2024-01-16 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-01-16_final
2024-02-15 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2024-02-15_final
2024-05-01 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2024-05-01_final
2024-05-02 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-05-02_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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