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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLN_2017-07-31_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50KPU_2017-09-16_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KKA_2017-10-12_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50JPL_2017-10-26_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JLM_2017-12-08_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KLU_2018-01-20_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPH_2018-04-01_final.stac-item
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KRC_2018-05-07_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HTE_2018-05-11_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLK_2018-06-06_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMK_2018-06-06_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50JQL_2018-06-10_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JPL_2018-06-13_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQK_2018-07-13_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGN_2018-07-22_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPH_2018-07-30_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-09-20_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMN_2018-10-14_final.stac-item
2018-11-24 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2018-11-24_final.stac-item
2018-12-26 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2018-12-26_final.stac-item
2019-01-05 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2019-01-05_final.stac-item
2019-01-19 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2019-01-19_final.stac-item
2019-03-03 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2019-03-03_final.stac-item
2019-04-26 11:36:53	ga_s2bm_ard_3-2-1_51HTD_2019-04-26_final.stac-item
2019-07-18 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-07-18_final.stac-item
2019-09-19 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2019-09-19_final.stac-item
2019-10-03 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2019-10-03_final.stac-item
2019-10-03 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-10-03_final.stac-item
2020-01-24 11:46:16	ga_s2bm_ard_3-2-1_50JNL_2020-01-24_final.stac-item
2020-01-31 11:36:35	ga_s2bm_ard_3-2-1_51HUD_2020-01-31_final.stac-item
2020-02-19 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2020-02-19_final.stac-item
2020-02-23 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2020-02-23_final.stac-item
2020-03-10 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2020-03-10_final.stac-item
2020-03-31 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-31_final.stac-item
2020-04-26 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2020-04-26_final.stac-item
2020-05-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-05-06_final.stac-item
2020-06-21 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2020-06-21_final.stac-item
2020-06-25 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2020-06-25_final.stac-item
2020-07-22 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2020-07-22_final.stac-item
2020-07-29 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-07-29_final.stac-item
2020-09-06 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2020-09-06_final.stac-item
2020-10-06 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2020-10-06_final.stac-item
2020-10-06 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2020-10-06_final.stac-item
2020-10-13 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-13_final.stac-item
2020-10-17 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-10-17_final.stac-item
2020-11-06 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-11-06_final.stac-item
2020-11-15 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-11-15_final.stac-item
2020-12-12 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-12-12_final.stac-item
2020-12-22 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-12-22_final.stac-item
2021-03-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-03-25_final.stac-item
2021-03-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-03-29_final
2021-05-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-05-21_final.stac-item
2021-05-25 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-05-25_final.stac-item
2021-06-26 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2021-06-26_final.stac-item
2021-06-27 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-06-27_final.stac-item
2021-06-30 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-06-30_final.stac-item
2021-07-07 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2021-07-07_final.stac-item
2021-07-07 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2021-07-07_final.stac-item
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2021-07-23_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 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2021-07-24_final.stac-item
2021-07-27 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-07-27_final.stac-item
2021-08-29 11:53:36	ga_s2bm_ard_3-2-1_50KNB_2021-08-29_final.stac-item
2021-09-08 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2021-09-08_final.stac-item
2021-10-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-10-05_final
2021-10-28 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-10-28_final.stac-item
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final.stac-item
2021-11-10 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-11-10_final.stac-item
2021-12-24 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2021-12-24_final.stac-item
2022-02-25 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2022-02-25_final.stac-item
2022-04-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-04-06_final.stac-item
2022-04-26 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-04-26_final.stac-item
2022-07-05 11:53:47	ga_s2bm_ard_3-2-1_50KMB_2022-07-05_final.stac-item
2022-08-07 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2022-08-07_final.stac-item
2022-08-31 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2022-08-31_final.stac-item
2022-09-13 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2022-09-13_final.stac-item
2022-10-03 11:53:29	ga_s2bm_ard_3-2-1_50KMC_2022-10-03_final.stac-item
2022-11-15 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-11-15_final.stac-item
2023-01-14 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-01-14_final.stac-item
2023-01-24 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2023-01-24_final.stac-item
2023-01-25 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-01-25_final.stac-item
2023-02-24 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2023-02-24_final
2023-04-01 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-04-01_final
2023-04-22 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-04-22_final
2023-05-28 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-05-28_final
2023-06-04 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-06-04_final
2023-07-06 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-07-06_final
2023-08-09 11:54:28	ga_s2bm_ard_3-2-1_50KNU_2023-08-09_final
2023-08-12 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2023-08-12_final
2023-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2023-09-15_final
2023-09-25 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2023-09-25_final
2023-10-21 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-10-21_final
2023-10-31 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-10-31_final
2023-12-04 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-04_final
2024-01-06 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2024-01-06_final
2024-01-10 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2024-01-10_final
2024-05-08 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-05-08_final
2024-05-15 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2024-05-15_final
2024-05-22 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2024-05-22_nrt
2024-05-22 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2024-05-22_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