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
2017-08-18 11:12:12	ga_s2bm_ard_3-2-1_52KEB_2017-08-18_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JLL_2017-09-09_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWU_2017-12-02_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXT_2017-12-19_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KYT_2017-12-19_final.stac-item
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_52JGM_2018-02-08_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final.stac-item
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52KDV_2018-05-15_final.stac-item
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KWU_2018-05-31_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50JPS_2018-08-15_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51LZE_2018-08-29_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KVA_2018-10-01_final.stac-item
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_51HWD_2018-10-02_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-10-07_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVR_2018-10-18_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXT_2018-10-25_final.stac-item
2018-11-11 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2018-11-11_final.stac-item
2018-11-21 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2018-11-21_final.stac-item
2018-12-14 11:21:26	ga_s2bm_ard_3-2-1_52LDJ_2018-12-14_final.stac-item
2018-12-21 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2018-12-21_final.stac-item
2019-01-03 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2019-01-03_final.stac-item
2019-01-13 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2019-01-13_final.stac-item
2019-01-26 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2019-01-26_final.stac-item
2019-03-14 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2019-03-14_final.stac-item
2019-03-31 11:11:36	ga_s2bm_ard_3-2-1_52LEJ_2019-03-31_final.stac-item
2019-04-09 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2019-04-09_final.stac-item
2019-04-29 11:43:36	ga_s2bm_ard_3-2-1_51KUS_2019-04-29_final.stac-item
2019-05-07 11:03:43	ga_s2bm_ard_3-2-1_52KEA_2019-05-07_final.stac-item
2019-05-26 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-05-26_final.stac-item
2019-07-05 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-05_final.stac-item
2019-07-12 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2019-07-12_final.stac-item
2019-08-31 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2019-08-31_final.stac-item
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final.stac-item
2019-10-13 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2019-10-13_final.stac-item
2019-10-13 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-10-13_final.stac-item
2019-11-02 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2019-11-02_final.stac-item
2019-11-09 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2019-11-09_final.stac-item
2019-11-12 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2019-11-12_final.stac-item
2019-11-12 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-11-12_final.stac-item
2019-12-03 11:01:40	ga_s2bm_ard_3-2-1_52LGH_2019-12-03_final.stac-item
2019-12-29 11:21:20	ga_s2bm_ard_3-2-1_51LZE_2019-12-29_final.stac-item
2020-02-17 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2020-02-17_final.stac-item
2020-03-24 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2020-03-24_final.stac-item
2020-04-14 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2020-04-14_final.stac-item
2020-04-20 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2020-04-20_final.stac-item
2020-04-30 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2020-04-30_final.stac-item
2020-05-31 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2020-05-31_final.stac-item
2020-06-26 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-06-26_final.stac-item
2020-07-26 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-07-26_final.stac-item
2020-11-20 11:12:43	ga_s2bm_ard_3-2-1_52KFD_2020-11-20_final.stac-item
2021-01-12 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2021-01-12_final.stac-item
2021-01-22 11:24:43	ga_s2bm_ard_3-2-1_52JBR_2021-01-22_final.stac-item
2021-01-25 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2021-01-25_final.stac-item
2021-05-12 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2021-05-12_final.stac-item
2021-05-18 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-05-18_final.stac-item
2021-06-07 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-06-07_final.stac-item
2021-06-24 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-06-24_final.stac-item
2021-07-08 11:13:32	ga_s2bm_ard_3-2-1_52KEA_2021-07-08_final.stac-item
2021-08-06 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-08-06_final.stac-item
2021-09-13 11:00:58	ga_s2bm_ard_3-2-1_52LGL_2021-09-13_final.stac-item
2021-10-29 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-10-29_final.stac-item
2021-11-24 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2021-11-24_final.stac-item
2021-11-25 11:11:23	ga_s2bm_ard_3-2-1_52LGJ_2021-11-25_final.stac-item
2021-12-10 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-12-10_final.stac-item
2021-12-11 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2021-12-11_final.stac-item
2022-01-10 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2022-01-10_final.stac-item
2022-01-29 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-01-29_final.stac-item
2022-02-03 11:14:18	ga_s2bm_ard_3-2-1_52JBT_2022-02-03_final.stac-item
2022-02-19 11:32:44	ga_s2bm_ard_3-2-1_51KYU_2022-02-19_final.stac-item
2022-04-04 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2022-04-04_final.stac-item
2022-05-07 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2022-05-07_final.stac-item
2022-05-24 11:13:26	ga_s2bm_ard_3-2-1_52KCB_2022-05-24_final.stac-item
2022-06-03 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2022-06-03_final.stac-item
2022-06-16 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2022-06-16_final.stac-item
2022-08-01 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-08-01_final.stac-item
2022-08-15 11:23:06	ga_s2bm_ard_3-2-1_52KCC_2022-08-15_final.stac-item
2022-09-11 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2022-09-11_final.stac-item
2022-09-17 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2022-09-17_final.stac-item
2022-10-10 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-10-10_final.stac-item
2022-10-10 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-10-10_final.stac-item
2022-10-17 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-10-17_final.stac-item
2022-12-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-12-23_final.stac-item
2023-02-09 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2023-02-09_final.stac-item
2023-04-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-04-07_final
2023-04-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-04-08_final
2023-04-22 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2023-04-22_final
2023-05-11 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-05-11_final
2023-06-01 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2023-06-01_final
2023-06-04 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-06-04_final
2023-06-17 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-06-17_final
2023-06-24 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-06-24_final
2023-07-24 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2023-07-24_final
2023-08-24 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2023-08-24_final
2023-10-19 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2023-10-19_final
2023-12-12 11:05:56	ga_s2bm_ard_3-2-1_52JEL_2023-12-12_final
2023-12-20 12:03:19	ga_s2bm_ard_3-2-1_50KLC_2023-12-20_final
2024-02-19 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2024-02-19_final
2024-02-29 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2024-02-29_final
2024-04-13 11:10:47	ga_s2bm_ard_3-2-1_52LFM_2024-04-13_final
2024-04-28 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-04-28_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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