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
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53JNN_2017-11-27_final.stac-item
2018-01-12 10:57:07	ga_s2bm_ard_3-2-1_52KED_2018-01-12_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVS_2018-01-14_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51HUD_2018-01-18_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KYR_2018-02-17_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53JNM_2018-02-22_final.stac-item
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JFN_2018-03-10_final.stac-item
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JNM_2018-04-23_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLH_2018-04-27_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KNA_2018-06-06_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGK_2018-07-22_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JPL_2018-08-24_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51HYD_2018-09-22_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HQK_2018-10-08_final.stac-item
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JGS_2018-11-05_final.stac-item
2018-11-11 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2018-11-11_final.stac-item
2019-01-05 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2019-01-05_final.stac-item
2019-01-22 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-01-22_final.stac-item
2019-07-04 10:27:14	ga_s2bm_ard_3-2-1_53HPA_2019-07-04_final.stac-item
2019-07-25 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-07-25_final.stac-item
2019-07-27 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-07-27_final.stac-item
2019-11-11 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-11-11_final.stac-item
2020-01-15 11:15:42	ga_s2bm_ard_3-2-1_52JCM_2020-01-15_final.stac-item
2020-02-01 11:01:36	ga_s2bm_ard_3-2-1_52LHH_2020-02-01_final.stac-item
2020-02-02 10:34:44	ga_s2bm_ard_3-2-1_53JPK_2020-02-02_final.stac-item
2020-02-04 11:12:07	ga_s2bm_ard_3-2-1_52KFF_2020-02-04_final.stac-item
2020-03-11 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2020-03-11_final.stac-item
2020-04-08 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2020-04-08_final.stac-item
2020-04-14 11:16:26	ga_s2bm_ard_3-2-1_51HWE_2020-04-14_final.stac-item
2020-06-08 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2020-06-08_final.stac-item
2020-09-17 11:35:10	ga_s2bm_ard_3-2-1_51JWK_2020-09-17_final.stac-item
2020-09-17 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2020-09-17_final.stac-item
2020-09-20 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2020-09-20_final.stac-item
2020-10-26 10:26:25	ga_s2bm_ard_3-2-1_53HPD_2020-10-26_final.stac-item
2020-11-20 11:14:47	ga_s2bm_ard_3-2-1_52JDR_2020-11-20_final.stac-item
2020-11-23 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2020-11-23_final.stac-item
2020-11-23 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2020-11-23_final.stac-item
2020-12-04 10:54:46	ga_s2bm_ard_3-2-1_52JFR_2020-12-04_final.stac-item
2020-12-14 10:54:44	ga_s2bm_ard_3-2-1_52JFR_2020-12-14_final.stac-item
2021-01-16 11:04:32	ga_s2bm_ard_3-2-1_52JES_2021-01-16_final.stac-item
2021-03-16 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-03-16_final.stac-item
2021-04-24 10:26:30	ga_s2bm_ard_3-2-1_53HPC_2021-04-24_final.stac-item
2021-05-05 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2021-05-05_final.stac-item
2021-06-02 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2021-06-02_final.stac-item
2021-06-14 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-06-14_final.stac-item
2021-06-17 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-06-17_final.stac-item
2021-06-21 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-06-21_final.stac-item
2021-07-06 10:36:48	ga_s2bm_ard_3-2-1_53HPB_2021-07-06_final.stac-item
2021-07-13 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2021-07-13_final.stac-item
2021-09-01 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2021-09-01_final.stac-item
2021-09-14 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2021-09-14_final.stac-item
2021-11-03 10:34:26	ga_s2bm_ard_3-2-1_53JPM_2021-11-03_final.stac-item
2021-11-03 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2021-11-03_final.stac-item
2021-11-15 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2021-11-15_final.stac-item
2021-11-18 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2021-11-18_final.stac-item
2021-11-30 10:26:52	ga_s2bm_ard_3-2-1_53HQA_2021-11-30_final.stac-item
2022-01-27 11:23:10	ga_s2bm_ard_3-2-1_52KCB_2022-01-27_final.stac-item
2022-02-03 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2022-02-03_final.stac-item
2022-02-15 11:54:34	ga_s2bm_ard_3-2-1_50JMT_2022-02-15_final.stac-item
2022-04-17 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2022-04-17_final.stac-item
2022-06-01 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2022-06-01_final.stac-item
2022-06-03 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2022-06-03_final.stac-item
2022-06-09 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2022-06-09_final.stac-item
2022-07-22 11:44:43	ga_s2bm_ard_3-2-1_50JPT_2022-07-22_final.stac-item
2022-08-08 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2022-08-08_final.stac-item
2022-08-09 11:04:15	ga_s2bm_ard_3-2-1_52JGT_2022-08-09_final.stac-item
2022-09-03 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2022-09-03_final.stac-item
2022-09-04 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2022-09-04_final.stac-item
2022-09-04 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2022-09-04_final.stac-item
2022-09-08 11:05:28	ga_s2bm_ard_3-2-1_52JFN_2022-09-08_final.stac-item
2022-09-16 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2022-09-16_final.stac-item
2022-11-19 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-11-19_final.stac-item
2022-11-23 11:22:34	ga_s2bm_ard_3-2-1_52KCE_2022-11-23_final.stac-item
2022-11-30 11:15:01	ga_s2bm_ard_3-2-1_51JYL_2022-11-30_final.stac-item
2022-12-07 11:04:18	ga_s2bm_ard_3-2-1_52JDT_2022-12-07_final.stac-item
2022-12-30 11:13:36	ga_s2bm_ard_3-2-1_52KCA_2022-12-30_final.stac-item
2023-01-02 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2023-01-02_final.stac-item
2023-02-21 11:22:47	ga_s2bm_ard_3-2-1_52KCD_2023-02-21_final
2023-02-25 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2023-02-25_final
2023-02-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-02-26_final
2023-03-06 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2023-03-06_final
2023-04-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-04-04_final
2023-04-14 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-04-14_final
2023-08-03 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-08-03_final
2023-08-13 11:36:36	ga_s2bm_ard_3-2-1_51HUE_2023-08-13_final
2023-09-14 10:34:39	ga_s2bm_ard_3-2-1_53JPL_2023-09-14_final
2023-09-15 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-09-15_final
2023-11-08 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-11-08_final
2023-11-12 11:01:29	ga_s2bm_ard_3-2-1_52LHJ_2023-11-12_final
2023-11-29 10:54:30	ga_s2bm_ard_3-2-1_52JFS_2023-11-29_final
2023-11-30 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-11-30_final
2023-12-25 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2023-12-25_final
2024-01-18 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2024-01-18_final
2024-02-25 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2024-02-25_final
2024-03-03 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2024-03-03_final
2024-03-10 11:35:03	ga_s2bm_ard_3-2-1_51JWK_2024-03-10_final
2024-03-24 11:12:42	ga_s2bm_ard_3-2-1_52KFD_2024-03-24_final
2024-03-24 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2024-03-24_final
2024-03-31 11:06:33	ga_s2bm_ard_3-2-1_52HBJ_2024-03-31_nrt
2024-04-03 11:11:38	ga_s2bm_ard_3-2-1_52LGH_2024-04-03_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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