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

55 results

Time (local)	Label
2017-10-21 10:47:11	ga_s2bm_ard_3-2-1_53KMU_2017-10-21_final
2017-12-13 09:23:45	ga_s2bm_ard_3-2-1_55GFN_2017-12-12_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51LUD_2018-01-14_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUA_2018-03-15_final
2018-04-27 10:07:03	ga_s2bm_ard_3-2-1_54JXR_2018-04-27_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53KRU_2018-05-13_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KPV_2018-06-16_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KCB_2018-06-24_final
2018-06-30 09:50:53	ga_s2bm_ard_3-2-1_55JEM_2018-06-30_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JMS_2018-09-24_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52KHV_2018-10-16_final
2018-10-20 10:27:05	ga_s2bm_ard_3-2-1_54LVK_2018-10-20_final.stac-item
2018-11-19 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2018-11-19_final
2018-11-28 11:02:40	ga_s2bm_ard_3-2-1_52KGD_2018-11-28_final
2018-12-03 10:12:35	ga_s2bm_ard_3-2-1_54KYC_2018-12-03_final
2018-12-06 10:25:12	ga_s2bm_ard_3-2-1_54JTN_2018-12-06_final
2019-01-14 10:54:11	ga_s2bm_ard_3-2-1_53JKN_2019-01-14_final
2019-01-22 10:15:29	ga_s2bm_ard_3-2-1_54JVM_2019-01-22_final
2019-02-05 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2019-02-05_final.stac-item
2019-02-20 10:44:53	ga_s2bm_ard_3-2-1_53JMK_2019-02-20_final
2019-03-12 10:44:54	ga_s2bm_ard_3-2-1_53JLK_2019-03-12_final
2019-04-17 11:01:47	ga_s2bm_ard_3-2-1_53LKC_2019-04-17_final
2019-04-27 11:06:28	ga_s2bm_ard_3-2-1_52HCK_2019-04-27_final.stac-item
2019-09-08 10:44:41	ga_s2bm_ard_3-2-1_53JML_2019-09-08_final
2019-11-11 10:21:40	ga_s2bm_ard_3-2-1_54KXG_2019-11-11_final
2020-01-03 10:32:14	ga_s2bm_ard_3-2-1_53KRV_2020-01-03_final
2020-04-11 11:00:36	ga_s2bm_ard_3-2-1_53LLG_2020-04-11_final
2020-04-25 10:42:59	ga_s2bm_ard_3-2-1_53KPS_2020-04-25_final
2020-05-07 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2020-05-07_final
2020-05-16 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2020-05-16_final
2020-07-22 10:02:35	ga_s2bm_ard_3-2-1_55KDT_2020-07-22_final
2020-08-24 11:54:44	ga_s2bm_ard_3-2-1_50JMT_2020-08-24_final
2020-10-04 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-10-04_final
2021-01-28 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2021-01-28_final
2021-06-08 11:12:04	ga_s2bm_ard_3-2-1_52KEG_2021-06-08_final
2021-07-04 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-07-04_final
2021-07-15 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2021-07-15_final
2021-07-26 10:33:22	ga_s2bm_ard_3-2-1_53KQR_2021-07-26_final
2021-08-11 10:52:09	ga_s2bm_ard_3-2-1_53KMA_2021-08-11_final
2021-10-13 09:25:41	ga_s2bm_ard_3-2-1_56HMK_2021-10-12_final
2021-11-15 11:14:33	ga_s2bm_ard_3-2-1_52JCS_2021-11-15_final
2022-05-07 11:22:20	ga_s2bm_ard_3-2-1_51KZA_2022-05-07_final
2022-05-21 11:01:56	ga_s2bm_ard_3-2-1_53KKB_2022-05-21_final
2022-07-20 11:02:01	ga_s2bm_ard_3-2-1_53KKB_2022-07-20_final
2023-03-01 10:45:27	ga_s2bm_ard_3-2-1_53JLH_2023-03-01_final.stac-item
2023-03-11 10:43:59	ga_s2bm_ard_3-2-1_53KMP_2023-03-11_final.stac-item
2023-03-23 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-03-23_final.stac-item
2023-04-05 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-04-05_final.stac-item
2023-06-05 11:03:35	ga_s2bm_ard_3-2-1_52KFA_2023-06-05_final.stac-item
2023-07-22 10:53:34	ga_s2bm_ard_3-2-1_53KKR_2023-07-22_final.stac-item
2023-08-28 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2023-08-28_final.stac-item
2023-11-28 09:42:54	ga_s2bm_ard_3-2-1_56KKA_2023-11-28_final.stac-item
2024-02-25 11:52:01	ga_s2bm_ard_3-2-1_50LRH_2024-02-25_nrt.stac-item
2024-04-20 11:03:14	ga_s2bm_ard_3-2-1_52KGB_2024-04-20_final.stac-item
2024-05-27 10:53:13	ga_s2bm_ard_3-2-1_53KKS_2024-05-27_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