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
2017-07-20 10:43:06	ga_s2bm_ard_3-2-1_53JNM_2017-07-20_final
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KEV_2017-07-29_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVS_2017-10-13_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPH_2017-10-26_final
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LGN_2017-11-06_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-12-12_final
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_53JNL_2018-01-03_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50JML_2018-01-14_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KQU_2018-01-26_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_50KKB_2018-03-24_final
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_53JKG_2018-04-29_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JPM_2018-05-03_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53KQP_2018-05-13_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HPH_2018-06-03_final
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGT_2018-07-28_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JTH_2018-08-29_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KPC_2018-09-04_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51LXD_2018-10-08_final
2018-11-10 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2018-11-10_final
2019-01-07 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2019-01-07_final
2019-01-27 11:05:05	ga_s2bm_ard_3-2-1_52JDQ_2019-01-27_final
2019-04-10 11:13:21	ga_s2bm_ard_3-2-1_52KEB_2019-04-10_final
2019-04-19 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-04-19_final
2019-05-13 11:22:35	ga_s2bm_ard_3-2-1_51KYA_2019-05-13_final
2019-06-20 10:44:14	ga_s2bm_ard_3-2-1_53JNN_2019-06-20_final
2019-07-27 10:34:26	ga_s2bm_ard_3-2-1_53JQM_2019-07-27_final
2019-08-24 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2019-08-24_final
2019-08-31 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2019-08-31_final
2019-09-10 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2019-09-10_final
2019-09-17 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2019-09-17_final
2019-09-27 11:13:51	ga_s2bm_ard_3-2-1_52KCV_2019-09-27_final
2019-10-11 10:52:35	ga_s2bm_ard_3-2-1_53KNU_2019-10-11_final
2019-11-06 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2019-11-06_final
2019-11-07 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2019-11-07_final
2019-11-28 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2019-11-28_final
2019-12-04 10:33:54	ga_s2bm_ard_3-2-1_53JRN_2019-12-04_final
2019-12-06 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2019-12-06_final
2020-01-05 11:15:57	ga_s2bm_ard_3-2-1_52JCL_2020-01-05_final
2020-02-04 11:14:17	ga_s2bm_ard_3-2-1_52JBT_2020-02-04_final
2020-02-17 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2020-02-17_final
2020-03-29 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2020-03-29_final
2020-04-02 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2020-04-02_final
2020-04-03 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2020-04-03_final
2020-05-01 11:03:16	ga_s2bm_ard_3-2-1_52KEB_2020-05-01_final
2020-05-18 10:55:39	ga_s2bm_ard_3-2-1_53JKG_2020-05-18_final
2020-05-20 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2020-05-20_final
2020-08-11 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2020-08-11_final
2020-09-09 10:36:49	ga_s2bm_ard_3-2-1_53HPB_2020-09-09_final
2020-10-10 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-10-10_final
2020-10-31 11:13:28	ga_s2bm_ard_3-2-1_52KBB_2020-10-31_final
2020-12-20 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2020-12-20_final
2021-01-07 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-01-07_final
2021-01-29 11:11:59	ga_s2bm_ard_3-2-1_52KFG_2021-01-29_final
2021-02-04 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-02-04_final
2021-03-14 10:52:58	ga_s2bm_ard_3-2-1_53KKT_2021-03-14_final
2021-04-19 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-04-19_final
2021-05-07 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2021-05-07_final
2021-05-19 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2021-05-19_final
2021-06-28 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2021-06-28_final
2021-07-17 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-17_final
2021-08-17 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2021-08-17_final
2021-08-24 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2021-08-24_final
2021-10-06 11:15:04	ga_s2bm_ard_3-2-1_52JCQ_2021-10-06_final
2021-10-16 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2021-10-16_final
2021-10-16 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2021-10-16_final
2021-10-19 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-10-19_final
2021-11-05 11:13:45	ga_s2bm_ard_3-2-1_52KEV_2021-11-05_final
2021-12-08 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2021-12-08_final
2022-01-25 10:42:30	ga_s2bm_ard_3-2-1_53KPU_2022-01-25_final
2022-01-28 10:52:53	ga_s2bm_ard_3-2-1_53KKT_2022-01-28_final
2022-02-18 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-02-18_final
2022-05-10 11:35:16	ga_s2bm_ard_3-2-1_51JWJ_2022-05-10_final
2022-06-11 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2022-06-11_final
2022-07-10 11:03:21	ga_s2bm_ard_3-2-1_52KFB_2022-07-10_final
2022-08-17 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2022-08-17_final
2022-08-18 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2022-08-18_final
2022-09-09 10:35:50	ga_s2bm_ard_3-2-1_53JPF_2022-09-09_final.stac-item
2022-10-18 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-10-18_final.stac-item
2022-11-03 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2022-11-03_final.stac-item
2022-11-27 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2022-11-27_final.stac-item
2022-12-17 11:06:33	ga_s2bm_ard_3-2-1_52HBJ_2022-12-17_nrt.stac-item
2022-12-23 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2022-12-23_final.stac-item
2022-12-31 10:43:04	ga_s2bm_ard_3-2-1_53KPS_2022-12-31_final.stac-item
2023-02-11 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2023-02-11_final.stac-item
2023-03-28 10:34:17	ga_s2bm_ard_3-2-1_53JRM_2023-03-28_final.stac-item
2023-04-12 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-04-12_final.stac-item
2023-05-06 11:04:13	ga_s2bm_ard_3-2-1_52JGT_2023-05-06_final.stac-item
2023-07-26 12:14:13	ga_s2bm_ard_3-2-1_50KKV_2023-07-26_final.stac-item
2023-09-04 10:31:55	ga_s2bm_ard_3-2-1_53KRB_2023-09-04_final.stac-item
2023-09-18 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2023-09-18_final.stac-item
2023-10-04 10:33:35	ga_s2bm_ard_3-2-1_53KQQ_2023-10-04_final.stac-item
2023-10-19 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-10-19_final.stac-item
2023-10-19 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-10-19_final.stac-item
2023-10-20 10:54:21	ga_s2bm_ard_3-2-1_52JGT_2023-10-20_final.stac-item
2023-11-09 10:53:59	ga_s2bm_ard_3-2-1_53KKP_2023-11-09_final.stac-item
2023-11-29 10:54:04	ga_s2bm_ard_3-2-1_53JLN_2023-11-29_final.stac-item
2024-01-07 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2024-01-07_final.stac-item
2024-02-25 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-02-25_final.stac-item
2024-03-19 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2024-03-19_final.stac-item
2024-03-29 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2024-03-29_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