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
2017-08-15 11:02:08	ga_s2bm_ard_3-2-1_52KFC_2017-08-15_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51LUE_2017-11-05_final.stac-item
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52KBG_2017-11-09_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVV_2017-12-02_final.stac-item
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGA_2018-01-02_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HUE_2018-01-11_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50KKB_2018-02-09_final.stac-item
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52KDV_2018-02-21_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGJ_2018-05-30_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLM_2018-06-26_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKT_2018-07-09_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMK_2018-08-02_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KBA_2018-08-13_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51KZR_2018-08-23_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52KBC_2018-08-23_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KVU_2018-10-01_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KWB_2018-10-01_final.stac-item
2018-11-11 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2018-11-11_final.stac-item
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2018-11-29_final.stac-item
2018-11-30 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2018-11-30_final.stac-item
2018-12-14 11:22:45	ga_s2bm_ard_3-2-1_52KBD_2018-12-14_final.stac-item
2018-12-18 11:05:46	ga_s2bm_ard_3-2-1_52JCM_2018-12-18_final.stac-item
2018-12-27 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2018-12-27_final.stac-item
2019-01-04 10:54:10	ga_s2bm_ard_3-2-1_52JHT_2019-01-04_final.stac-item
2019-01-05 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-01-05_final.stac-item
2019-02-05 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2019-02-05_final.stac-item
2019-04-26 11:37:04	ga_s2bm_ard_3-2-1_51HUC_2019-04-26_final.stac-item
2019-05-18 12:14:22	ga_s2bm_ard_3-2-1_49KGQ_2019-05-18_final.stac-item
2019-06-14 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final.stac-item
2019-09-27 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2019-09-27_final.stac-item
2019-10-07 11:13:05	ga_s2bm_ard_3-2-1_52KDC_2019-10-07_final.stac-item
2019-11-05 11:43:36	ga_s2bm_ard_3-2-1_51KVR_2019-11-05_final.stac-item
2019-11-29 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2019-11-29_final.stac-item
2019-12-15 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2019-12-15_final.stac-item
2020-01-31 11:36:41	ga_s2bm_ard_3-2-1_50HQJ_2020-01-31_final.stac-item
2020-02-17 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2020-02-17_final.stac-item
2020-03-21 11:35:17	ga_s2bm_ard_3-2-1_51JWJ_2020-03-21_final.stac-item
2020-03-27 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-03-27_final.stac-item
2020-05-03 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2020-05-03_final.stac-item
2020-06-06 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2020-06-06_final.stac-item
2020-06-07 10:54:50	ga_s2bm_ard_3-2-1_52JFR_2020-06-07_final.stac-item
2020-06-17 10:55:30	ga_s2bm_ard_3-2-1_52JGN_2020-06-17_final.stac-item
2020-07-19 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2020-07-19_final.stac-item
2020-07-26 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2020-07-26_final.stac-item
2020-08-11 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-08-11_final.stac-item
2020-08-14 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-08-14_final.stac-item
2020-10-28 11:03:02	ga_s2bm_ard_3-2-1_52KGC_2020-10-28_final.stac-item
2020-12-27 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2020-12-27_final.stac-item
2021-02-08 11:14:19	ga_s2bm_ard_3-2-1_52JCT_2021-02-08_final.stac-item
2021-02-27 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-02-27_final.stac-item
2021-04-02 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2021-04-02_final.stac-item
2021-05-02 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2021-05-02_final.stac-item
2021-07-01 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-07-01_final.stac-item
2021-07-08 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2021-07-08_final.stac-item
2021-07-14 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2021-07-14_final.stac-item
2021-07-14 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2021-07-14_final.stac-item
2021-08-10 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2021-08-10_final.stac-item
2021-09-06 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2021-09-06_final.stac-item
2021-10-06 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2021-10-06_final.stac-item
2021-10-19 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2021-10-19_final.stac-item
2021-11-11 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2021-11-11_final.stac-item
2021-11-22 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2021-11-22_final.stac-item
2021-11-28 11:24:25	ga_s2bm_ard_3-2-1_51JWN_2021-11-28_final.stac-item
2021-12-19 10:55:38	ga_s2bm_ard_3-2-1_52JFM_2021-12-19_final.stac-item
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final.stac-item
2021-12-28 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2021-12-28_final.stac-item
2022-02-28 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2022-02-28_final.stac-item
2022-03-15 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2022-03-15_final.stac-item
2022-04-04 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2022-04-04_final.stac-item
2022-04-14 11:14:05	ga_s2bm_ard_3-2-1_52KBU_2022-04-14_final.stac-item
2022-05-13 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2022-05-13_final.stac-item
2022-06-18 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2022-06-18_final.stac-item
2022-07-28 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-28_final.stac-item
2022-08-21 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2022-08-21_final.stac-item
2022-08-28 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2022-08-28_final.stac-item
2022-10-18 11:05:19	ga_s2bm_ard_3-2-1_52JDP_2022-10-18_final.stac-item
2022-10-19 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-10-19_final.stac-item
2022-12-09 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-12-09_final.stac-item
2023-01-01 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2023-01-01_final.stac-item
2023-01-06 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-01-06_final.stac-item
2023-01-28 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-01-28_final.stac-item
2023-01-29 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2023-01-29_final.stac-item
2023-02-21 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2023-02-21_final
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-05_final
2023-03-26 11:35:59	ga_s2bm_ard_3-2-1_51JVG_2023-03-26_final
2023-05-08 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-05-08_final
2023-05-08 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-05-08_final
2023-05-22 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2023-05-22_final
2023-06-26 12:13:44	ga_s2bm_ard_3-2-1_50KKB_2023-06-26_final
2023-07-14 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-07-14_final
2023-08-17 11:13:20	ga_s2bm_ard_3-2-1_52KEB_2023-08-17_final
2023-09-26 11:12:56	ga_s2bm_ard_3-2-1_52KCD_2023-09-26_final
2023-10-22 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2023-10-22_final
2023-11-05 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2023-11-05_final
2023-11-08 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2023-11-08_final
2023-12-14 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-12-14_final
2024-02-29 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2024-02-29_final
2024-04-02 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2024-04-02_final
2024-04-05 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-04-05_final
2024-04-19 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2024-04-19_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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