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
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_51HYD_2017-10-27_final.stac-item
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53KNA_2018-01-06_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUT_2018-02-03_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKM_2018-02-19_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53HNE_2018-02-22_final.stac-item
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_52KBU_2018-04-18_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HYD_2018-05-25_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53KMU_2018-08-24_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51HXD_2018-09-02_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KMB_2018-09-14_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JUF_2018-10-05_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JVF_2018-10-05_final.stac-item
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52JEL_2018-10-16_final.stac-item
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_53HPC_2018-10-27_final.stac-item
2018-12-23 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2018-12-23_final.stac-item
2019-01-29 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2019-01-29_final.stac-item
2019-03-24 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2019-03-24_final.stac-item
2019-05-06 11:35:58	ga_s2bm_ard_3-2-1_50JQN_2019-05-06_final.stac-item
2019-05-18 10:35:35	ga_s2bm_ard_3-2-1_53JMH_2019-05-18_final.stac-item
2019-06-07 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-06-07_final.stac-item
2019-06-17 10:35:34	ga_s2bm_ard_3-2-1_53JMH_2019-06-17_final.stac-item
2019-07-27 12:14:18	ga_s2bm_ard_3-2-1_49KHQ_2019-07-27_final.stac-item
2019-08-30 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2019-08-30_final.stac-item
2019-10-03 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2019-10-03_final.stac-item
2019-11-18 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2019-11-18_final.stac-item
2019-11-30 10:55:59	ga_s2bm_ard_3-2-1_52JEL_2019-11-30_final.stac-item
2019-12-12 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-12_final.stac-item
2020-01-05 11:12:37	ga_s2bm_ard_3-2-1_52KFD_2020-01-05_final.stac-item
2020-01-10 10:26:53	ga_s2bm_ard_3-2-1_53HQA_2020-01-10_final.stac-item
2020-01-22 11:02:52	ga_s2bm_ard_3-2-1_52KGC_2020-01-22_final.stac-item
2020-03-14 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2020-03-14_final.stac-item
2020-04-01 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2020-04-01_final.stac-item
2020-04-11 11:02:26	ga_s2bm_ard_3-2-1_52KGE_2020-04-11_final.stac-item
2020-04-27 11:24:25	ga_s2bm_ard_3-2-1_51JWN_2020-04-27_final.stac-item
2020-04-29 10:25:45	ga_s2bm_ard_3-2-1_53JQF_2020-04-29_final.stac-item
2020-07-20 11:05:10	ga_s2bm_ard_3-2-1_52JCQ_2020-07-20_final.stac-item
2020-07-24 10:44:05	ga_s2bm_ard_3-2-1_53JPN_2020-07-24_final.stac-item
2020-08-11 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-11_final.stac-item
2020-09-07 11:35:51	ga_s2bm_ard_3-2-1_51JTH_2020-09-07_final.stac-item
2020-10-03 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-03_final.stac-item
2020-12-14 10:52:27	ga_s2bm_ard_3-2-1_52KHE_2020-12-14_final.stac-item
2020-12-19 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2020-12-19_final.stac-item
2020-12-20 11:12:28	ga_s2bm_ard_3-2-1_52KEE_2020-12-20_final.stac-item
2021-01-08 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2021-01-08_final.stac-item
2021-01-16 11:04:00	ga_s2bm_ard_3-2-1_52KFU_2021-01-16_final.stac-item
2021-01-22 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2021-01-22_final.stac-item
2021-02-01 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2021-02-01_final.stac-item
2021-02-11 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2021-02-11_final.stac-item
2021-03-20 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2021-03-20_final.stac-item
2021-05-04 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2021-05-04_final.stac-item
2021-05-05 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2021-05-05_final.stac-item
2021-06-03 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2021-06-03_final.stac-item
2021-07-23 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-07-23_final.stac-item
2021-07-26 10:37:00	ga_s2bm_ard_3-2-1_53HPA_2021-07-26_final.stac-item
2021-09-12 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2021-09-12_final.stac-item
2021-10-05 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-10-05_final.stac-item
2021-11-02 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2021-11-02_final.stac-item
2021-12-13 10:36:26	ga_s2bm_ard_3-2-1_53HPC_2021-12-13_final.stac-item
2022-01-18 10:55:20	ga_s2bm_ard_3-2-1_53JKH_2022-01-18_final.stac-item
2022-01-31 11:02:06	ga_s2bm_ard_3-2-1_52KFF_2022-01-31_final.stac-item
2022-02-03 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2022-02-03_final.stac-item
2022-02-16 11:22:46	ga_s2bm_ard_3-2-1_51KZU_2022-02-16_final.stac-item
2022-03-05 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2022-03-05_final.stac-item
2022-03-18 11:21:33	ga_s2bm_ard_3-2-1_52LCJ_2022-03-18_final.stac-item
2022-03-18 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2022-03-18_final.stac-item
2022-04-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-04-03_final.stac-item
2022-05-02 10:36:53	ga_s2bm_ard_3-2-1_53HPA_2022-05-02_final.stac-item
2022-05-05 10:43:33	ga_s2bm_ard_3-2-1_53KNQ_2022-05-05_final.stac-item
2022-05-24 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2022-05-24_final.stac-item
2022-06-01 10:35:23	ga_s2bm_ard_3-2-1_53JNH_2022-06-01_final.stac-item
2022-06-27 10:52:46	ga_s2bm_ard_3-2-1_53KLU_2022-06-27_final.stac-item
2022-07-05 10:16:57	ga_s2bm_ard_3-2-1_53HQB_2022-07-05_final.stac-item
2022-08-01 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2022-08-01_final.stac-item
2022-10-01 11:11:34	ga_s2bm_ard_3-2-1_52LDJ_2022-10-01_final.stac-item
2022-10-01 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2022-10-01_final.stac-item
2022-10-25 10:55:24	ga_s2bm_ard_3-2-1_53JKH_2022-10-25_final.stac-item
2022-11-17 11:02:06	ga_s2bm_ard_3-2-1_52KFG_2022-11-17_final.stac-item
2022-11-23 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2022-11-23_final.stac-item
2022-11-27 11:03:26	ga_s2bm_ard_3-2-1_52KGA_2022-11-27_final.stac-item
2022-12-01 10:46:22	ga_s2bm_ard_3-2-1_53HLD_2022-12-01_final.stac-item
2023-01-06 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-01-06_final.stac-item
2023-02-28 11:12:33	ga_s2bm_ard_3-2-1_52KEE_2023-02-28_final
2023-03-26 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2023-03-26_final
2023-04-19 11:14:54	ga_s2bm_ard_3-2-1_52JBR_2023-04-19_final
2023-05-15 11:31:10	ga_s2bm_ard_3-2-1_51LZF_2023-05-15_nrt
2023-06-26 10:36:51	ga_s2bm_ard_3-2-1_53HPB_2023-06-26_final
2023-07-08 11:13:27	ga_s2bm_ard_3-2-1_52KCB_2023-07-08_final
2023-08-04 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2023-08-04_final
2023-08-23 11:35:17	ga_s2bm_ard_3-2-1_51JVK_2023-08-23_final
2023-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-15_final
2023-09-21 10:26:25	ga_s2bm_ard_3-2-1_53HPD_2023-09-21_final
2023-11-01 11:31:08	ga_s2bm_ard_3-2-1_51LZF_2023-11-01_nrt
2023-11-01 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-11-01_final
2023-11-18 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-11-18_final
2024-01-18 10:52:11	ga_s2bm_ard_3-2-1_53KLA_2024-01-18_final
2024-01-23 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2024-01-23_final
2024-01-25 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2024-01-25_final
2024-02-21 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2024-02-21_final
2024-03-01 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2024-03-01_final
2024-04-06 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2024-04-06_interim

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

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