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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMM_2017-07-31_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53HMD_2017-11-14_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51LZC_2017-11-22_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPT_2017-12-05_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUQ_2017-12-25_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52KDD_2018-01-15_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53JNN_2018-02-15_final
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_52JEL_2018-02-28_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JMK_2018-05-26_final
2018-06-21 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2018-06-21_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51LUF_2018-06-23_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKN_2018-06-29_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-08_final
2018-11-08 11:01:37	ga_s2bm_ard_3-2-1_52LFJ_2018-11-08_final
2018-11-10 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2018-11-10_final
2018-11-21 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2018-11-21_final
2019-01-13 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2019-01-13_final
2019-01-16 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2019-01-16_final
2019-01-21 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2019-01-21_final
2019-04-13 11:25:25	ga_s2bm_ard_3-2-1_51JYJ_2019-04-13_final
2019-05-01 10:45:55	ga_s2bm_ard_3-2-1_52JGM_2019-05-01_final
2019-05-01 10:46:32	ga_s2bm_ard_3-2-1_53HLD_2019-05-01_final
2019-06-08 11:45:25	ga_s2bm_ard_3-2-1_50JQQ_2019-06-08_final
2019-06-09 11:15:32	ga_s2bm_ard_3-2-1_51JYJ_2019-06-09_final
2019-06-09 11:16:28	ga_s2bm_ard_3-2-1_52HBK_2019-06-09_final
2019-06-21 11:53:47	ga_s2bm_ard_3-2-1_50KNB_2019-06-21_final
2019-07-18 11:43:33	ga_s2bm_ard_3-2-1_51KVS_2019-07-18_final
2019-08-14 11:37:09	ga_s2bm_ard_3-2-1_50HQH_2019-08-14_final
2019-09-03 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2019-09-03_final
2019-09-05 10:36:31	ga_s2bm_ard_3-2-1_53HLD_2019-09-05_final
2019-12-19 11:22:46	ga_s2bm_ard_3-2-1_52KBD_2019-12-19_final
2020-03-02 11:03:54	ga_s2bm_ard_3-2-1_52KGU_2020-03-02_final
2020-05-27 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2020-05-27_final
2020-06-02 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2020-06-02_final
2020-08-01 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2020-08-01_final
2020-08-03 10:46:01	ga_s2bm_ard_3-2-1_53JKF_2020-08-03_final
2020-10-04 11:24:40	ga_s2bm_ard_3-2-1_51JYM_2020-10-04_final
2020-12-21 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2020-12-21_final
2021-01-03 10:55:35	ga_s2bm_ard_3-2-1_53JKG_2021-01-03_final
2021-01-18 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2021-01-18_final
2021-02-07 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-02-07_final
2021-02-18 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2021-02-18_final
2021-03-16 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-03-16_final
2021-05-12 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-05-12_final
2021-05-24 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-05-24_final
2021-05-26 11:03:31	ga_s2bm_ard_3-2-1_52KFA_2021-05-26_final
2021-06-03 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-03_final
2021-07-02 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2021-07-02_final
2021-09-01 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-09-01_final
2021-10-08 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-10-08_final
2021-10-13 11:06:25	ga_s2bm_ard_3-2-1_52HBK_2021-10-13_final
2021-11-02 11:05:35	ga_s2bm_ard_3-2-1_52JDN_2021-11-02_final
2021-12-13 10:35:57	ga_s2bm_ard_3-2-1_53HPE_2021-12-13_final
2021-12-22 11:00:39	ga_s2bm_ard_3-2-1_52LHM_2021-12-22_final
2022-01-06 10:16:48	ga_s2bm_ard_3-2-1_53HQB_2022-01-06_final
2022-02-12 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2022-02-12_final
2022-03-05 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2022-03-05_final
2022-04-03 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2022-04-03_final
2022-05-04 11:15:34	ga_s2bm_ard_3-2-1_51JYH_2022-05-04_final.stac-item
2022-05-17 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2022-05-17_final
2022-05-23 11:44:49	ga_s2bm_ard_3-2-1_50JQS_2022-05-23_final
2022-06-11 10:36:48	ga_s2bm_ard_3-2-1_53HPB_2022-06-11_final
2022-06-15 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2022-06-15_final
2022-07-16 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2022-07-16_final
2022-08-17 10:27:03	ga_s2bm_ard_3-2-1_53HQA_2022-08-17_final
2022-10-01 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2022-10-01_final.stac-item
2022-10-02 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2022-10-02_final.stac-item
2022-10-17 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2022-10-17_final.stac-item
2022-10-23 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-10-23_final.stac-item
2022-10-27 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2022-10-27_final.stac-item
2022-11-06 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2022-11-06_final.stac-item
2022-11-23 11:21:54	ga_s2bm_ard_3-2-1_51LZC_2022-11-23_final.stac-item
2022-12-20 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2022-12-20_final.stac-item
2022-12-23 11:21:09	ga_s2bm_ard_3-2-1_52LBL_2022-12-23_nrt.stac-item
2023-01-24 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-01-24_final.stac-item
2023-01-28 13:21:35	ga_s2bm_ard_3-2-1_47LKH_2023-01-28_interim.stac-item
2023-01-29 11:12:33	ga_s2bm_ard_3-2-1_52KDE_2023-01-29_final.stac-item
2023-03-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-03-06_final.stac-item
2023-03-23 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2023-03-23_final.stac-item
2023-03-26 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-03-26_final.stac-item
2023-03-30 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2023-03-30_final.stac-item
2023-04-02 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2023-04-02_final.stac-item
2023-04-24 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-04-24_final.stac-item
2023-04-25 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-04-25_final.stac-item
2023-04-25 11:35:50	ga_s2bm_ard_3-2-1_51JTH_2023-04-25_final.stac-item
2023-05-24 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2023-05-24_final.stac-item
2023-05-25 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2023-05-25_final.stac-item
2023-07-01 11:22:32	ga_s2bm_ard_3-2-1_51KYA_2023-07-01_final.stac-item
2023-07-21 11:23:34	ga_s2bm_ard_3-2-1_51KXS_2023-07-21_final.stac-item
2023-08-12 10:26:41	ga_s2bm_ard_3-2-1_53HPC_2023-08-12_final.stac-item
2023-09-07 10:46:28	ga_s2bm_ard_3-2-1_53HLD_2023-09-07_final.stac-item
2023-10-31 10:25:42	ga_s2bm_ard_3-2-1_53JPG_2023-10-31_final.stac-item
2023-11-28 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2023-11-28_final.stac-item
2023-12-08 11:22:23	ga_s2bm_ard_3-2-1_51KYA_2023-12-08_final.stac-item
2024-01-11 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2024-01-11_final.stac-item
2024-03-04 11:13:36	ga_s2bm_ard_3-2-1_52KBA_2024-03-04_final.stac-item
2024-03-10 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2024-03-10_final.stac-item
2024-03-13 11:44:40	ga_s2bm_ard_3-2-1_51JTM_2024-03-13_final.stac-item
2024-03-21 11:02:04	ga_s2bm_ard_3-2-1_52KFG_2024-03-21_final.stac-item
2024-03-31 11:01:16	ga_s2bm_ard_3-2-1_52LGK_2024-03-31_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