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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KYU_2017-07-12_final.stac-item
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KTU_2017-08-07_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51KXS_2017-09-30_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HVE_2017-11-12_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVB_2017-12-05_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HUD_2018-01-11_final.stac-item
2018-05-16 10:45:10	ga_s2bm_ard_3-2-1_53JKF_2018-05-16_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWS_2018-06-10_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KYU_2018-06-20_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52JBP_2018-07-04_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KBV_2018-07-04_final.stac-item
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JKF_2018-08-14_final.stac-item
2018-09-10 10:35:42	ga_s2bm_ard_3-2-1_53HME_2018-09-10_final.stac-item
2018-09-29 11:00:36	ga_s2bm_ard_3-2-1_52JCQ_2018-09-29_final.stac-item
2018-11-06 10:25:00	ga_s2bm_ard_3-2-1_53JQJ_2018-11-06_final.stac-item
2018-12-07 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2018-12-07_final.stac-item
2018-12-27 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2018-12-27_final.stac-item
2019-01-29 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-01-29_final.stac-item
2019-04-10 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2019-04-10_final.stac-item
2019-04-26 11:33:34	ga_s2bm_ard_3-2-1_51KWS_2019-04-26_final.stac-item
2019-06-28 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-28_final.stac-item
2019-07-11 11:53:59	ga_s2bm_ard_3-2-1_50KPA_2019-07-11_final.stac-item
2019-08-14 11:33:05	ga_s2bm_ard_3-2-1_51KWU_2019-08-14_final.stac-item
2019-10-18 10:45:45	ga_s2bm_ard_3-2-1_53JKG_2019-10-18_final.stac-item
2019-11-06 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-11-06_final.stac-item
2019-11-07 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2019-11-07_final.stac-item
2019-11-16 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2019-11-16_final.stac-item
2019-11-17 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2019-11-17_final.stac-item
2019-11-27 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2019-11-27_final.stac-item
2020-01-01 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-01-01_final.stac-item
2020-01-22 11:03:28	ga_s2bm_ard_3-2-1_52KEA_2020-01-22_final.stac-item
2020-03-22 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2020-03-22_final.stac-item
2020-04-22 12:13:30	ga_s2bm_ard_3-2-1_50KKB_2020-04-22_final.stac-item
2020-05-20 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2020-05-20_final.stac-item
2020-05-25 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2020-05-25_final.stac-item
2020-05-30 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-05-30_final.stac-item
2020-06-06 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2020-06-06_final.stac-item
2020-06-13 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-06-13_final.stac-item
2020-07-06 11:23:37	ga_s2bm_ard_3-2-1_52KBA_2020-07-06_final.stac-item
2020-07-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2020-07-15_final.stac-item
2020-07-29 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2020-07-29_final.stac-item
2020-07-31 10:34:16	ga_s2bm_ard_3-2-1_53JNN_2020-07-31_final.stac-item
2020-08-02 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-08-02_final.stac-item
2020-09-04 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2020-09-04_final.stac-item
2020-09-18 11:04:52	ga_s2bm_ard_3-2-1_52JDR_2020-09-18_final.stac-item
2020-09-29 10:36:20	ga_s2bm_ard_3-2-1_53HLE_2020-09-29_final.stac-item
2020-10-27 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2020-10-27_final.stac-item
2020-12-31 10:44:19	ga_s2bm_ard_3-2-1_53JNM_2020-12-31_final.stac-item
2021-01-26 11:03:26	ga_s2bm_ard_3-2-1_52KEB_2021-01-26_final.stac-item
2021-04-19 11:13:46	ga_s2bm_ard_3-2-1_52KCV_2021-04-19_final.stac-item
2021-05-19 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2021-05-19_final.stac-item
2021-05-20 10:46:06	ga_s2bm_ard_3-2-1_53HME_2021-05-20_final.stac-item
2021-06-22 10:55:10	ga_s2bm_ard_3-2-1_53JKJ_2021-06-22_final.stac-item
2021-07-05 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2021-07-05_final.stac-item
2021-07-24 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2021-07-24_final.stac-item
2021-08-03 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-08-03_final.stac-item
2021-09-17 10:44:35	ga_s2bm_ard_3-2-1_53JML_2021-09-17_final.stac-item
2021-10-12 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-10-12_final.stac-item
2021-10-26 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2021-10-26_final.stac-item
2021-12-08 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2021-12-08_final.stac-item
2021-12-11 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2021-12-11_final
2021-12-15 11:13:13	ga_s2bm_ard_3-2-1_52KDB_2021-12-15_final.stac-item
2022-01-14 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2022-01-14_final.stac-item
2022-01-15 10:44:12	ga_s2bm_ard_3-2-1_53JPM_2022-01-15_final.stac-item
2022-03-28 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-03-28_final.stac-item
2022-04-01 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2022-04-01_final.stac-item
2022-04-03 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2022-04-03_final.stac-item
2022-04-24 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-04-24_final.stac-item
2022-05-20 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2022-05-20_final.stac-item
2022-07-06 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2022-07-06_final.stac-item
2022-07-22 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2022-07-22_final.stac-item
2022-08-02 11:13:41	ga_s2bm_ard_3-2-1_52KCA_2022-08-02_final.stac-item
2022-08-20 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2022-08-20_final.stac-item
2022-09-07 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2022-09-07_final.stac-item
2022-11-12 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2022-11-12_final.stac-item
2022-11-28 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2022-11-28_final.stac-item
2022-12-03 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2022-12-03_final.stac-item
2022-12-06 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2022-12-06_final.stac-item
2023-01-15 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2023-01-15_final.stac-item
2023-02-05 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2023-02-05_final
2023-02-26 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2023-02-26_final
2023-04-09 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2023-04-09_final
2023-04-19 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2023-04-19_final
2023-05-22 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2023-05-22_final
2023-05-24 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-05-24_final
2023-05-28 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-05-28_final
2023-07-14 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-07-14_final
2023-08-07 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-08-07_final
2023-08-25 12:14:35	ga_s2bm_ard_3-2-1_49KFP_2023-08-25_nrt
2023-08-27 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2023-08-27_final
2023-10-23 11:03:43	ga_s2bm_ard_3-2-1_52KGV_2023-10-23_final
2023-12-21 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-12-21_final
2023-12-28 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2023-12-28_final
2023-12-29 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2023-12-29_final
2024-01-30 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2024-01-30_final
2024-03-05 10:44:16	ga_s2bm_ard_3-2-1_53JNM_2024-03-05_final
2024-03-14 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2024-03-14_final
2024-03-20 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-03-20_final
2024-05-08 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2024-05-08_final
2024-05-09 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2024-05-09_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