Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2017-08-30_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52KGC_2017-11-13_final
2017-12-28 10:16:45	ga_s2bm_ard_3-2-1_54HUF_2017-12-28_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52KBC_2017-12-29_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52LGM_2018-02-01_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KWT_2018-02-10_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JKF_2018-03-07_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51LWC_2018-05-14_final
2018-05-22 11:04:22	ga_s2bm_ard_3-2-1_52JFR_2018-05-22_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54LWM_2018-05-30_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPJ_2018-06-13_final
2018-06-22 10:34:30	ga_s2bm_ard_3-2-1_53JMJ_2018-06-22_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JPT_2018-08-15_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVU_2018-08-19_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JLF_2018-08-24_final
2018-11-07 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2018-11-07_final
2018-11-09 10:33:10	ga_s2bm_ard_3-2-1_53KPS_2018-11-09_final
2018-12-06 10:24:36	ga_s2bm_ard_3-2-1_54JVQ_2018-12-06_final
2018-12-10 10:06:22	ga_s2bm_ard_3-2-1_54HWH_2018-12-10_final
2019-02-25 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2019-02-25_final
2019-03-17 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2019-03-17_final
2019-04-10 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2019-04-10_final
2019-04-16 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2019-04-16_final
2019-04-28 10:35:08	ga_s2bm_ard_3-2-1_53JQJ_2019-04-28_final
2019-05-05 10:20:21	ga_s2bm_ard_3-2-1_54LXN_2019-05-05_final
2019-05-06 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-05-06_final
2019-06-11 10:16:59	ga_s2bm_ard_3-2-1_53HQB_2019-06-11_final
2019-07-06 11:05:14	ga_s2bm_ard_3-2-1_52JDQ_2019-07-06_final
2019-07-14 10:20:40	ga_s2bm_ard_3-2-1_54LWM_2019-07-14_final
2019-08-24 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2019-08-24_final
2020-01-10 10:24:57	ga_s2bm_ard_3-2-1_54JTP_2020-01-10_final
2020-02-18 10:51:58	ga_s2bm_ard_3-2-1_53KKB_2020-02-18_final
2020-04-17 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2020-04-17_final
2020-04-26 10:11:19	ga_s2bm_ard_3-2-1_54LZH_2020-04-26_final
2020-06-03 11:13:21	ga_s2bm_ard_3-2-1_52KDB_2020-06-03_final
2020-06-07 10:55:33	ga_s2bm_ard_3-2-1_52JFN_2020-06-07_final
2020-06-09 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-09_final
2020-06-12 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-06-12_final
2020-07-22 10:07:10	ga_s2bm_ard_3-2-1_54HXE_2020-07-22_final
2020-08-07 10:25:03	ga_s2bm_ard_3-2-1_54JUP_2020-08-07_final
2020-08-08 09:57:01	ga_s2bm_ard_3-2-1_54HXF_2020-08-08_final
2020-09-05 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2020-09-05_final
2020-11-02 10:17:28	ga_s2bm_ard_3-2-1_54HVD_2020-11-02_final
2020-12-06 09:56:50	ga_s2bm_ard_3-2-1_55HBA_2020-12-06_final
2020-12-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-12-06_final
2020-12-25 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2020-12-25_final
2020-12-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-12-29_final
2021-01-02 09:48:13	ga_s2bm_ard_3-2-1_55GEQ_2021-01-02_final
2021-02-13 10:21:21	ga_s2bm_ard_3-2-1_54LYH_2021-02-13_final
2021-02-22 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2021-02-22_final
2021-03-15 10:24:15	ga_s2bm_ard_3-2-1_54JUS_2021-03-15_final
2021-04-19 11:13:34	ga_s2bm_ard_3-2-1_52KBA_2021-04-19_final
2021-05-02 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2021-05-02_final
2021-05-02 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2021-05-02_final
2021-05-16 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2021-05-16_final
2021-05-22 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2021-05-22_final
2021-05-25 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2021-05-25_final
2021-05-28 10:03:39	ga_s2bm_ard_3-2-1_54KZU_2021-05-28_final
2021-06-15 11:00:37	ga_s2bm_ard_3-2-1_53LMG_2021-06-15_final
2021-07-04 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2021-07-04_final
2021-07-07 10:07:31	ga_s2bm_ard_3-2-1_54HVD_2021-07-07_final
2021-09-29 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2021-09-29_final
2021-10-05 10:07:26	ga_s2bm_ard_3-2-1_54HWD_2021-10-05_final
2021-11-03 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2021-11-03_final
2021-11-05 11:11:34	ga_s2bm_ard_3-2-1_52LEJ_2021-11-05_final
2022-02-28 10:21:43	ga_s2bm_ard_3-2-1_54KVG_2022-02-28_final
2022-04-22 12:13:43	ga_s2bm_ard_3-2-1_50KKA_2022-04-22_final
2022-05-20 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-05-20_final
2022-06-22 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-06-22_final
2022-08-01 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-08-01_final
2022-09-10 10:06:37	ga_s2bm_ard_3-2-1_54HYG_2022-09-10_final.stac-item
2022-10-02 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2022-10-02_final.stac-item
2022-11-08 10:31:48	ga_s2bm_ard_3-2-1_54KTG_2022-11-08_final.stac-item
2022-11-14 10:52:45	ga_s2bm_ard_3-2-1_53KNT_2022-11-14_final.stac-item
2022-11-20 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2022-11-20_final.stac-item
2022-12-20 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2022-12-20_final.stac-item
2022-12-23 11:23:27	ga_s2bm_ard_3-2-1_51KZR_2022-12-23_final.stac-item
2023-01-07 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2023-01-07_final.stac-item
2023-01-30 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2023-01-30_final.stac-item
2023-02-26 10:33:35	ga_s2bm_ard_3-2-1_53KQQ_2023-02-26_final.stac-item
2023-03-10 11:16:10	ga_s2bm_ard_3-2-1_52JBL_2023-03-10_final.stac-item
2023-03-16 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2023-03-16_final.stac-item
2023-04-12 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2023-04-12_final.stac-item
2023-05-23 10:54:06	ga_s2bm_ard_3-2-1_52KGU_2023-05-23_final.stac-item
2023-05-27 10:36:11	ga_s2bm_ard_3-2-1_53HNE_2023-05-27_final.stac-item
2023-06-28 11:15:09	ga_s2bm_ard_3-2-1_52JCQ_2023-06-28_final.stac-item
2023-08-05 12:14:12	ga_s2bm_ard_3-2-1_50KKV_2023-08-05_final.stac-item
2023-08-26 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-08-26_final.stac-item
2023-08-27 11:14:13	ga_s2bm_ard_3-2-1_52KBU_2023-08-27_final.stac-item
2023-09-14 12:14:34	ga_s2bm_ard_3-2-1_49KFP_2023-09-14_nrt.stac-item
2023-10-14 12:14:33	ga_s2bm_ard_3-2-1_49KFP_2023-10-14_nrt.stac-item
2023-11-09 10:53:59	ga_s2bm_ard_3-2-1_53KKP_2023-11-09_final.stac-item
2023-11-23 10:34:56	ga_s2bm_ard_3-2-1_53JQJ_2023-11-23_final.stac-item
2023-12-14 10:07:12	ga_s2bm_ard_3-2-1_54HYD_2023-12-14_final.stac-item
2023-12-24 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-12-24_final.stac-item
2024-01-17 09:47:39	ga_s2bm_ard_3-2-1_55HBT_2024-01-17_final.stac-item
2024-01-31 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2024-01-30_final.stac-item
2024-03-12 10:29:50	ga_s2bm_ard_3-2-1_54LXP_2024-03-12_final.stac-item
2024-04-24 10:41:37	ga_s2bm_ard_3-2-1_53LPC_2024-04-24_final.stac-item
2024-05-08 10:20:32	ga_s2bm_ard_3-2-1_54LWM_2024-05-08_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years