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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KWS_2017-10-13_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-12-15_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXU_2017-12-19_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KXT_2018-01-01_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JYN_2018-02-07_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JLN_2018-03-01_final
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KWP_2018-04-08_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPK_2018-04-11_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KXS_2018-04-18_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KUR_2018-05-31_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KZP_2018-08-06_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KTU_2018-08-12_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUD_2018-08-29_final
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_52KDC_2018-09-12_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_52KCD_2018-10-05_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKP_2018-10-17_final
2018-11-20 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final
2018-12-20 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2018-12-20_final
2019-01-06 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2019-01-06_final
2019-01-13 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2019-01-13_final.stac-item
2019-01-23 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2019-01-23_final
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-06_final
2019-03-14 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2019-03-14_final
2019-04-03 11:23:50	ga_s2bm_ard_3-2-1_51KXR_2019-04-03_final
2019-04-17 11:04:49	ga_s2bm_ard_3-2-1_52JFR_2019-04-17_final
2019-05-15 12:04:19	ga_s2bm_ard_3-2-1_50KLV_2019-05-15_final
2019-06-11 11:53:28	ga_s2bm_ard_3-2-1_50KPC_2019-06-11_final
2019-08-03 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-08-03_final
2019-10-17 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2019-10-17_final
2019-11-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-11-05_final
2019-12-16 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2019-12-16_final
2020-03-04 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-03-04_final
2020-04-17 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2020-04-17_final
2020-05-03 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2020-05-03_final
2020-05-10 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2020-05-10_final
2020-07-06 11:23:49	ga_s2bm_ard_3-2-1_51KXR_2020-07-06_final
2020-07-26 11:22:50	ga_s2bm_ard_3-2-1_52KCD_2020-07-26_final
2020-07-26 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2020-07-26_final
2020-08-22 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2020-08-22_final
2020-08-27 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-08-27_final
2020-09-11 11:13:16	ga_s2bm_ard_3-2-1_52KBC_2020-09-11_final
2020-09-11 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-09-11_final
2020-09-16 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2020-09-16_final
2020-11-13 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2020-11-13_final
2020-12-09 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-12-09_final
2020-12-30 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2020-12-30_final
2021-01-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2021-01-12_final
2021-01-25 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2021-01-25_final
2021-02-04 11:31:59	ga_s2bm_ard_3-2-1_51LWC_2021-02-04_final
2021-02-18 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2021-02-18_final
2021-03-06 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-03-06_final
2021-04-02 11:25:44	ga_s2bm_ard_3-2-1_51JVH_2021-04-02_final
2021-04-19 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2021-04-19_final
2021-05-06 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2021-05-06_final
2021-05-15 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-05-15_final
2021-06-18 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2021-06-18_final
2021-07-13 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-07-13_final
2021-07-31 11:24:53	ga_s2bm_ard_3-2-1_51JYL_2021-07-31_final
2021-08-10 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-08-10_final
2021-09-15 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2021-09-15_final
2021-10-08 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-10-08_final
2021-10-12 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2021-10-12_final
2021-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-10-28_final
2021-10-29 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2021-10-29_final
2022-01-17 11:22:19	ga_s2bm_ard_3-2-1_51KZA_2022-01-17_final
2022-02-15 11:53:25	ga_s2bm_ard_3-2-1_50KMC_2022-02-15_final
2022-02-16 11:24:59	ga_s2bm_ard_3-2-1_51JYK_2022-02-16_final
2022-03-04 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2022-03-04_final
2022-03-08 11:25:54	ga_s2bm_ard_3-2-1_51JWG_2022-03-08_final
2022-03-27 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2022-03-27_final.stac-item
2022-03-28 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2022-03-28_final
2022-04-10 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2022-04-10_final
2022-04-11 11:05:56	ga_s2bm_ard_3-2-1_52JEL_2022-04-11_final
2022-04-24 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2022-04-24_final
2022-05-27 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2022-05-27_final
2022-06-06 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2022-06-06_final
2022-07-08 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2022-07-08_final
2022-07-12 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2022-07-12_final
2022-07-16 11:23:21	ga_s2bm_ard_3-2-1_52KCB_2022-07-16_final
2022-08-12 11:13:28	ga_s2bm_ard_3-2-1_52KBB_2022-08-12_final
2022-08-18 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2022-08-18_final
2022-10-11 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2022-10-11_final.stac-item
2022-10-17 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-10-17_final.stac-item
2022-10-17 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2022-10-17_final.stac-item
2022-10-19 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-19_final.stac-item
2022-11-15 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-11-15_final.stac-item
2023-02-02 10:55:42	ga_s2bm_ard_3-2-1_52JFM_2023-02-02_final.stac-item
2023-03-27 11:06:27	ga_s2bm_ard_3-2-1_52HBK_2023-03-27_final.stac-item
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final.stac-item
2023-04-22 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2023-04-22_final.stac-item
2023-04-29 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2023-04-29_final.stac-item
2023-05-16 11:05:06	ga_s2bm_ard_3-2-1_52JEQ_2023-05-16_final.stac-item
2023-06-14 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-06-14_final.stac-item
2023-12-18 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2023-12-18_final.stac-item
2024-01-16 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-01-16_final.stac-item
2024-02-08 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-02-08_final.stac-item
2024-02-13 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2024-02-13_final.stac-item
2024-02-21 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-02-21_final.stac-item
2024-03-26 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2024-03-26_final.stac-item
2024-03-30 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2024-03-30_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