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_50HPK_2017-07-18_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JPR_2017-07-31_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLP_2017-09-22_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-10-12_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-11-21_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPK_2017-12-05_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KKU_2018-01-20_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQK_2018-01-31_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPH_2018-03-02_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-06-12_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKP_2018-07-29_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HUC_2018-08-16_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGL_2018-09-07_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JPL_2018-09-21_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKN_2018-09-27_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50KQU_2018-10-01_final.stac-item
2019-04-02 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2019-04-02_final.stac-item
2019-04-28 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-04-28_final.stac-item
2019-05-18 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-05-18_final.stac-item
2019-05-25 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-25_final.stac-item
2019-06-14 12:04:20	ga_s2bm_ard_3-2-1_50KKV_2019-06-14_final.stac-item
2019-06-15 11:37:14	ga_s2bm_ard_3-2-1_50HPH_2019-06-15_final.stac-item
2019-06-18 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-06-18_final.stac-item
2019-08-27 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2019-08-27_final.stac-item
2019-09-16 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-09-16_final.stac-item
2019-09-16 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-09-16_final.stac-item
2019-10-03 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-10-03_final.stac-item
2019-11-14 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-11-14_final.stac-item
2019-12-14 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2019-12-14_final.stac-item
2020-01-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-01-04_final.stac-item
2020-02-12 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-02-12_final.stac-item
2020-02-13 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2020-02-13_final.stac-item
2020-05-09 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-05-09_final.stac-item
2020-05-13 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2020-05-13_final.stac-item
2020-06-19 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-19_final.stac-item
2020-06-26 11:27:10	ga_s2bm_ard_3-2-1_51HTC_2020-06-26_final.stac-item
2020-06-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-06-28_final.stac-item
2020-07-08 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-07-08_final.stac-item
2020-07-18 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-07-18_final.stac-item
2020-07-25 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2020-07-25_final.stac-item
2020-07-28 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-07-28_final.stac-item
2020-07-28 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-07-28_final.stac-item
2020-11-09 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-11-09_final.stac-item
2021-01-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-17_final.stac-item
2021-01-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-01-24_final.stac-item
2021-01-28 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-01-28_final.stac-item
2021-02-07 11:45:31	ga_s2bm_ard_3-2-1_50JQP_2021-02-07_final.stac-item
2021-03-02 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-03-02_final.stac-item
2021-03-16 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-03-16_final.stac-item
2021-03-22 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2021-03-22_final.stac-item
2021-03-25 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-25_final.stac-item
2021-05-15 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2021-05-15_final.stac-item
2021-05-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-05-17_final.stac-item
2021-07-07 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-07_final.stac-item
2021-08-12 12:04:21	ga_s2bm_ard_3-2-1_49KHQ_2021-08-12_final.stac-item
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final.stac-item
2021-09-18 11:56:18	ga_s2bm_ard_3-2-1_50JML_2021-09-18_final.stac-item
2021-10-08 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-10-08_final.stac-item
2021-11-14 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-11-14_final.stac-item
2021-12-20 12:03:14	ga_s2bm_ard_3-2-1_50KNC_2021-12-20_final.stac-item
2022-02-01 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-01_final.stac-item
2022-02-18 12:05:31	ga_s2bm_ard_3-2-1_50JLP_2022-02-18_final.stac-item
2022-02-22 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-02-22_final.stac-item
2022-03-07 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2022-03-07_final.stac-item
2022-06-05 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2022-06-05_final.stac-item
2022-06-12 11:45:35	ga_s2bm_ard_3-2-1_50JQP_2022-06-12_final.stac-item
2022-06-21 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-06-21_final.stac-item
2022-07-01 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2022-07-01_final.stac-item
2022-07-11 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2022-07-11_final.stac-item
2022-07-18 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2022-07-18_final.stac-item
2022-08-07 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2022-08-07_final.stac-item
2022-09-06 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2022-09-06_final.stac-item
2022-09-20 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2022-09-20_final.stac-item
2022-11-06 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2022-11-06_final.stac-item
2022-12-18 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-12-18_final.stac-item
2022-12-22 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-12-22_final.stac-item
2023-01-01 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-01-01_final.stac-item
2023-01-11 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2023-01-11_final.stac-item
2023-01-14 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2023-01-14_final.stac-item
2023-01-17 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-01-17_final.stac-item
2023-01-31 11:53:28	ga_s2bm_ard_3-2-1_50KMC_2023-01-31_final.stac-item
2023-01-31 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2023-01-31_final
2023-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-02-17_final
2023-02-23 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2023-02-23_final
2023-04-01 11:54:26	ga_s2bm_ard_3-2-1_50KNU_2023-04-01_final
2023-04-21 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-04-21_final
2023-05-21 11:52:39	ga_s2bm_ard_3-2-1_50KQF_2023-05-21_final
2023-05-28 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-05-28_final
2023-07-07 11:46:28	ga_s2bm_ard_3-2-1_50JNL_2023-07-07_final
2023-07-27 11:44:51	ga_s2bm_ard_3-2-1_50JQS_2023-07-27_final
2023-09-11 12:03:45	ga_s2bm_ard_3-2-1_50KLB_2023-09-11_final
2023-10-22 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-10-22_final
2023-10-25 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-10-25_final
2023-11-07 11:53:34	ga_s2bm_ard_3-2-1_50KQB_2023-11-07_final
2023-11-20 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2023-11-20_final
2024-01-23 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2024-01-23_final
2024-01-26 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2024-01-26_final
2024-03-06 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2024-03-06_final
2024-04-08 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2024-04-08_final
2024-05-15 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2024-05-15_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

All years