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
2017-07-06 11:02:11	ga_s2bm_ard_3-2-1_52KGC_2017-07-06_final
2017-07-07 10:27:08	ga_s2bm_ard_3-2-1_54LWH_2017-07-07_final
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JQH_2017-07-07_final
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_54KUU_2017-08-03_final
2017-08-13 10:26:35	ga_s2bm_ard_3-2-1_54HTF_2017-08-13_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-10-02 10:22:51	ga_s2bm_ard_3-2-1_54HTH_2017-10-02_final
2017-10-02 10:22:51	ga_s2bm_ard_3-2-1_54KVV_2017-10-02_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52KFG_2017-10-07_final
2017-10-10 09:45:45	ga_s2bm_ard_3-2-1_54HYB_2017-10-10_final
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_52LHN_2017-11-13_final
2017-12-11 10:16:54	ga_s2bm_ard_3-2-1_54KYE_2017-12-11_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KUT_2018-04-11_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KYS_2018-04-18_final
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GER_2018-05-05_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KMC_2018-05-20_final
2018-06-05 10:37:24	ga_s2bm_ard_3-2-1_53KNP_2018-06-05_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNL_2018-08-05_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52KBA_2018-08-23_final
2018-09-06 10:51:21	ga_s2bm_ard_3-2-1_52JGN_2018-09-06_final
2018-09-09 11:01:38	ga_s2bm_ard_3-2-1_52JEM_2018-09-09_final
2018-09-10 10:29:30	ga_s2bm_ard_3-2-1_54KUG_2018-09-10_final
2018-09-14 10:13:35	ga_s2bm_ard_3-2-1_54JXT_2018-09-14_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KVU_2018-10-11_final
2018-11-03 10:13:24	ga_s2bm_ard_3-2-1_54JVP_2018-11-03_final
2018-11-08 11:03:51	ga_s2bm_ard_3-2-1_52KDV_2018-11-08_final
2018-12-10 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2018-12-10_final
2018-12-18 11:02:49	ga_s2bm_ard_3-2-1_52KHC_2018-12-18_final
2019-01-08 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-01-08_final
2019-02-02 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2019-02-02_final
2019-02-09 09:38:02	ga_s2bm_ard_3-2-1_55GER_2019-02-09_final
2019-03-26 10:21:27	ga_s2bm_ard_3-2-1_54LXH_2019-03-26_final
2019-04-03 11:23:53	ga_s2bm_ard_3-2-1_52KBV_2019-04-03_final
2019-08-02 10:56:04	ga_s2bm_ard_3-2-1_52JGL_2019-08-02_final
2019-08-23 10:26:41	ga_s2bm_ard_3-2-1_53HPC_2019-08-23_final
2019-11-01 10:25:40	ga_s2bm_ard_3-2-1_53JPG_2019-11-01_final
2020-01-11 11:35:21	ga_s2bm_ard_3-2-1_51JVJ_2020-01-11_final
2020-02-14 09:38:34	ga_s2bm_ard_3-2-1_55GEN_2020-02-14_final
2020-02-21 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2020-02-21_final
2020-03-20 10:22:00	ga_s2bm_ard_3-2-1_54KVF_2020-03-20_final
2020-05-18 10:55:39	ga_s2bm_ard_3-2-1_53JKG_2020-05-18_final
2020-06-06 09:48:36	ga_s2bm_ard_3-2-1_55GCP_2020-06-06_final
2020-07-08 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-07-08_final
2020-07-23 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2020-07-23_final.stac-item
2020-08-15 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2020-08-15_final
2020-09-14 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2020-09-14_final
2020-09-17 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-09-17_final
2020-09-26 10:24:52	ga_s2bm_ard_3-2-1_54JVQ_2020-09-26_final
2020-10-09 10:34:03	ga_s2bm_ard_3-2-1_54JTT_2020-10-09_final
2020-11-13 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2020-11-13_final
2020-11-15 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2020-11-15_final
2020-12-28 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2020-12-28_final
2021-01-22 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-01-22_final
2021-02-07 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-02-07_final
2021-02-28 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2021-02-28_final
2021-04-05 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2021-04-05_final
2021-04-11 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-04-11_final
2021-05-06 11:05:13	ga_s2bm_ard_3-2-1_52JEP_2021-05-06_final
2021-06-27 10:07:27	ga_s2bm_ard_3-2-1_54HWD_2021-06-27_final
2021-07-25 11:02:14	ga_s2bm_ard_3-2-1_52KHF_2021-07-25_final
2021-08-05 10:33:36	ga_s2bm_ard_3-2-1_53KQQ_2021-08-05_final
2021-08-22 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-08-22_final
2021-09-05 10:07:08	ga_s2bm_ard_3-2-1_54HWE_2021-09-05_final
2021-09-06 11:14:43	ga_s2bm_ard_3-2-1_52JDR_2021-09-06_final
2021-10-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-10-05_final
2022-01-09 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-01-09_final
2022-03-16 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2022-03-16_final
2022-03-17 10:11:25	ga_s2bm_ard_3-2-1_54LYH_2022-03-17_final
2022-03-24 11:44:21	ga_s2bm_ard_3-2-1_50KPU_2022-03-24_final
2022-04-14 09:38:42	ga_s2bm_ard_3-2-1_55GEN_2022-04-14_final
2022-04-25 10:41:35	ga_s2bm_ard_3-2-1_53LNC_2022-04-25_final
2022-05-09 10:21:34	ga_s2bm_ard_3-2-1_54KYG_2022-05-09_final
2022-05-13 10:07:24	ga_s2bm_ard_3-2-1_54HWD_2022-05-13_final
2022-05-26 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2022-05-26_final
2022-06-07 10:55:14	ga_s2bm_ard_3-2-1_52JGP_2022-06-07_final
2022-06-18 10:24:08	ga_s2bm_ard_3-2-1_54JTT_2022-06-18_final
2022-06-27 10:50:29	ga_s2bm_ard_3-2-1_53LNH_2022-06-27_final.stac-item
2022-07-11 10:34:18	ga_s2bm_ard_3-2-1_53JNN_2022-07-11_final
2022-07-29 09:58:06	ga_s2bm_ard_3-2-1_55GCR_2022-07-29_final
2022-09-08 11:00:31	ga_s2bm_ard_3-2-1_53LKH_2022-09-08_final.stac-item
2022-09-14 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2022-09-14_final.stac-item
2022-10-06 10:24:01	ga_s2bm_ard_3-2-1_53JRN_2022-10-06_final.stac-item
2023-01-10 10:45:48	ga_s2bm_ard_3-2-1_53JMF_2023-01-10_final.stac-item
2023-01-21 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2023-01-21_final.stac-item
2023-03-25 10:24:24	ga_s2bm_ard_3-2-1_54JTS_2023-03-25_final.stac-item
2023-04-13 10:52:42	ga_s2bm_ard_3-2-1_53KLU_2023-04-13_final.stac-item
2023-05-05 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-05-05_final.stac-item
2023-06-11 11:23:08	ga_s2bm_ard_3-2-1_52KCC_2023-06-11_final.stac-item
2023-07-10 10:12:48	ga_s2bm_ard_3-2-1_54KXC_2023-07-10_final.stac-item
2023-07-13 10:26:35	ga_s2bm_ard_3-2-1_54HTH_2023-07-13_final.stac-item
2023-09-14 10:30:10	ga_s2bm_ard_3-2-1_54LXN_2023-09-14_final.stac-item
2023-11-28 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2023-11-28_final.stac-item
2023-11-28 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2023-11-28_final.stac-item
2024-01-07 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2024-01-07_final.stac-item
2024-01-10 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2024-01-10_final.stac-item
2024-01-13 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2024-01-13_final.stac-item
2024-01-16 10:15:49	ga_s2bm_ard_3-2-1_54HXK_2024-01-16_final.stac-item
2024-01-17 11:22:18	ga_s2bm_ard_3-2-1_52KCF_2024-01-17_final.stac-item
2024-02-20 11:01:52	ga_s2bm_ard_3-2-1_53KLB_2024-02-20_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