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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2017-08-13_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JNN_2017-08-20_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JNM_2017-11-18_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KRC_2017-11-28_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQC_2017-12-08_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KQC_2017-12-28_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGM_2018-01-10_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-20_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-03-21_final.stac-item
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KQC_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2018-04-07_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNL_2018-04-24_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKP_2018-06-26_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HUD_2018-08-16_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50KKB_2018-09-07_final.stac-item
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HUC_2018-10-15_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HPH_2018-10-18_final.stac-item
2018-11-24 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2018-11-24_final.stac-item
2018-12-20 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2018-12-20_final.stac-item
2018-12-24 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2018-12-24_final.stac-item
2018-12-26 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2018-12-26_final.stac-item
2019-02-08 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2019-02-08_final.stac-item
2019-03-30 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2019-03-30_final.stac-item
2019-03-30 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2019-03-30_final.stac-item
2019-05-12 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-05-12_final.stac-item
2019-06-24 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-24_final.stac-item
2019-08-23 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2019-08-23_final.stac-item
2019-08-31 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2019-08-31_final.stac-item
2019-11-22 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2019-11-22_final.stac-item
2019-12-11 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2019-12-11_final.stac-item
2019-12-11 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2019-12-11_final.stac-item
2019-12-22 11:36:40	ga_s2bm_ard_3-2-1_51HTD_2019-12-22_final.stac-item
2019-12-22 11:36:42	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final.stac-item
2020-01-07 11:53:41	ga_s2bm_ard_3-2-1_50KQA_2020-01-07_final.stac-item
2020-01-30 12:03:36	ga_s2bm_ard_3-2-1_50KKB_2020-01-30_final.stac-item
2020-03-18 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2020-03-18_final.stac-item
2020-03-27 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2020-03-27_final.stac-item
2020-04-19 12:03:36	ga_s2bm_ard_3-2-1_50KLB_2020-04-19_final.stac-item
2020-07-08 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-07-08_final.stac-item
2020-08-11 11:44:38	ga_s2bm_ard_3-2-1_50JQT_2020-08-11_final.stac-item
2020-08-21 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2020-08-21_final.stac-item
2020-10-27 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-10-27_final.stac-item
2020-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2020-11-25_final.stac-item
2020-11-29 11:44:25	ga_s2bm_ard_3-2-1_51JTN_2020-11-29_final.stac-item
2020-11-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-11-29_final.stac-item
2020-12-05 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2020-12-05_final.stac-item
2021-01-11 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-01-11_final.stac-item
2021-02-04 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-02-04_final.stac-item
2021-02-13 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2021-02-13_final.stac-item
2021-02-13 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2021-02-13_final.stac-item
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-02-13_final.stac-item
2021-02-16 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2021-02-16_final.stac-item
2021-03-02 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2021-03-02_final.stac-item
2021-03-05 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-03-05_final.stac-item
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final.stac-item
2021-04-25 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-04-25_final
2021-04-27 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-04-27_final.stac-item
2021-05-08 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2021-05-08_final.stac-item
2021-05-11 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-05-11_final
2021-07-24 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-24_final.stac-item
2021-08-03 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-08-03_final.stac-item
2021-09-11 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-09-11_final.stac-item
2021-10-02 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-10-02_final.stac-item
2021-10-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-10-05_final
2021-10-11 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2021-10-11_final.stac-item
2021-10-28 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-28_final.stac-item
2021-11-21 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2021-11-21_final.stac-item
2021-12-11 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2021-12-11_final.stac-item
2022-01-03 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-01-03_final.stac-item
2022-02-12 11:45:05	ga_s2bm_ard_3-2-1_50JNR_2022-02-12_final.stac-item
2022-04-03 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2022-04-03_final.stac-item
2022-05-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-05-19_final.stac-item
2022-06-02 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-06-02_final.stac-item
2022-07-29 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-07-29_final.stac-item
2022-08-27 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2022-08-27_final.stac-item
2022-09-13 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2022-09-13_final.stac-item
2022-09-30 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-09-30_final.stac-item
2022-10-16 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2022-10-16_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-31 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2023-01-31_final.stac-item
2023-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-16_final
2023-04-09 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2023-04-09_final
2023-04-28 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-28_final
2023-05-25 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-05-25_final
2023-06-04 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-06-04_final
2023-06-04 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-06-04_final
2023-06-11 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2023-06-11_final
2023-06-23 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-06-23_final
2023-07-26 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-07-26_final
2023-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-09-19_final
2023-10-28 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-10-28_final
2023-11-20 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-20_final
2023-12-27 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-12-27_final
2024-01-16 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2024-01-16_final
2024-02-18 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2024-02-18_final
2024-02-19 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2024-02-19_final
2024-04-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-04-12_final
2024-05-01 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2024-05-01_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

All years