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
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KVU_2017-12-15_final.stac-item
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KXT_2018-03-19_final.stac-item
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HYD_2018-04-25_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KXU_2018-05-01_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWS_2018-05-11_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KXQ_2018-05-31_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KWQ_2018-06-27_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KXS_2018-07-10_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JNM_2018-07-15_final.stac-item
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KYT_2018-09-15_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWR_2018-09-28_final.stac-item
2018-11-07 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2018-11-07_final.stac-item
2018-11-24 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2018-11-24_final.stac-item
2018-11-27 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2018-11-27_final.stac-item
2018-11-30 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2018-11-30_final.stac-item
2018-12-10 11:42:21	ga_s2bm_ard_3-2-1_51KVA_2018-12-10_final.stac-item
2019-01-23 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2019-01-23_final.stac-item
2019-05-03 11:23:43	ga_s2bm_ard_3-2-1_51KZR_2019-05-03_final.stac-item
2019-05-06 11:33:35	ga_s2bm_ard_3-2-1_51KWS_2019-05-06_final.stac-item
2019-05-23 11:24:10	ga_s2bm_ard_3-2-1_51KWQ_2019-05-23_final.stac-item
2019-06-22 11:23:21	ga_s2bm_ard_3-2-1_51KXT_2019-06-22_final.stac-item
2019-07-06 11:03:28	ga_s2bm_ard_3-2-1_52KEB_2019-07-06_final.stac-item
2019-08-04 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-08-04_final.stac-item
2019-08-11 11:23:17	ga_s2bm_ard_3-2-1_51KYT_2019-08-11_final.stac-item
2019-09-03 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2019-09-03_final.stac-item
2019-09-17 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2019-09-17_final.stac-item
2019-09-26 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2019-09-26_final.stac-item
2019-10-13 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-10-13_final.stac-item
2019-10-16 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-10-16_final.stac-item
2019-11-03 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2019-11-03_final.stac-item
2019-11-12 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2019-11-12_final.stac-item
2019-11-12 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-11-12_final.stac-item
2019-12-22 11:33:37	ga_s2bm_ard_3-2-1_51KWR_2019-12-22_final.stac-item
2020-01-25 11:10:25	ga_s2bm_ard_3-2-1_52LFN_2020-01-25_final
2020-02-14 11:12:01	ga_s2bm_ard_3-2-1_52KDG_2020-02-14_final.stac-item
2020-05-17 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2020-05-17_final.stac-item
2020-05-25 10:46:07	ga_s2bm_ard_3-2-1_53HME_2020-05-25_final.stac-item
2020-06-23 11:13:21	ga_s2bm_ard_3-2-1_52KDB_2020-06-23_final.stac-item
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-06-28_final.stac-item
2020-06-29 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-06-29_final.stac-item
2020-07-22 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2020-07-22_final.stac-item
2020-08-11 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2020-08-11_final.stac-item
2020-09-17 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2020-09-17_final.stac-item
2020-09-20 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-09-20_final.stac-item
2020-10-14 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2020-10-14_final.stac-item
2020-10-14 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-10-14_final.stac-item
2020-10-27 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2020-10-27_final.stac-item
2020-11-22 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2020-11-22_final.stac-item
2020-11-26 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2020-11-26_final.stac-item
2020-12-01 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2020-12-01_final.stac-item
2020-12-13 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2020-12-13_final.stac-item
2021-01-27 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2021-01-27_final.stac-item
2021-02-24 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-02-24_final.stac-item
2021-03-03 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-03-03_final.stac-item
2021-04-18 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-04-18_final.stac-item
2021-04-27 10:36:49	ga_s2bm_ard_3-2-1_53HMB_2021-04-27_final
2021-06-08 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2021-06-08_final.stac-item
2021-06-23 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-23_final
2021-07-24 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2021-07-24_final.stac-item
2021-08-08 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2021-08-08_final.stac-item
2021-08-23 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-08-23_final.stac-item
2021-09-12 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2021-09-12_final.stac-item
2021-12-18 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2021-12-18_final.stac-item
2022-01-14 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2022-01-14_final
2022-03-05 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2022-03-05_final
2022-03-08 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2022-03-08_final.stac-item
2022-04-20 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2022-04-20_final.stac-item
2022-04-24 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2022-04-24_final.stac-item
2022-05-27 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2022-05-27_final.stac-item
2022-06-04 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2022-06-04_final.stac-item
2022-07-06 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2022-07-06_final.stac-item
2022-07-13 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2022-07-13_final.stac-item
2022-08-07 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2022-08-07_final.stac-item
2022-08-15 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2022-08-15_final.stac-item
2022-08-15 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2022-08-15_final.stac-item
2022-08-28 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2022-08-28_final.stac-item
2022-10-17 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2022-10-17_final.stac-item
2022-11-26 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2022-11-26_final.stac-item
2022-12-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2023-02-22 10:55:39	ga_s2bm_ard_3-2-1_53JKG_2023-02-22_final
2023-03-06 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2023-03-06_final
2023-03-09 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-03-09_final
2023-03-16 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2023-03-16_final
2023-04-14 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-04-14_final
2023-05-15 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2023-05-15_final
2023-07-28 11:13:45	ga_s2bm_ard_3-2-1_52KBA_2023-07-28_final
2023-08-07 11:11:10	ga_s2bm_ard_3-2-1_52LEL_2023-08-07_final
2023-08-13 11:34:02	ga_s2bm_ard_3-2-1_51KWQ_2023-08-13_final
2023-08-17 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2023-08-17_final
2023-08-28 10:46:07	ga_s2bm_ard_3-2-1_53JLF_2023-08-28_final
2023-09-29 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2023-09-29_final
2023-10-09 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2023-10-09_final
2023-10-09 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-10-09_final
2023-12-04 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-12-04_final
2023-12-26 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2023-12-26_final
2024-02-09 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2024-02-09_final
2024-03-04 11:13:44	ga_s2bm_ard_3-2-1_52KDV_2024-03-04_final
2024-04-25 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-04-25_final
2024-04-26 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2024-04-26_final
2024-05-21 10:34:25	ga_s2bm_ard_3-2-1_53JNM_2024-05-21_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

All years