Search ga_s2bm_ard_3 across March 2022

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
2022-03-01 09:53:11	ga_s2bm_ard_3-2-1_55KFQ_2022-03-01_final
2022-03-01 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-03-01_final
2022-03-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2022-03-01_final
2022-03-01 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-03-01_final.stac-item
2022-03-02 11:03:04	ga_s2bm_ard_3-2-1_53KKS_2022-03-02_final
2022-03-02 11:03:42	ga_s2bm_ard_3-2-1_52KFV_2022-03-02_final
2022-03-03 10:32:56	ga_s2bm_ard_3-2-1_54KTB_2022-03-03_final
2022-03-03 10:32:58	ga_s2bm_ard_3-2-1_53KQS_2022-03-03_final
2022-03-03 10:33:03	ga_s2bm_ard_3-2-1_54KTB_2022-03-03_final
2022-03-03 10:33:05	ga_s2bm_ard_3-2-1_53KQS_2022-03-03_final
2022-03-03 10:33:24	ga_s2bm_ard_3-2-1_54KUV_2022-03-03_final
2022-03-03 10:33:35	ga_s2bm_ard_3-2-1_53KPQ_2022-03-03_final
2022-03-04 10:06:30	ga_s2bm_ard_3-2-1_55HBB_2022-03-04_final
2022-03-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2022-03-04_final
2022-03-04 11:43:29	ga_s2bm_ard_3-2-1_51KTS_2022-03-04_final
2022-03-04 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2022-03-04_final
2022-03-06 10:42:52	ga_s2bm_ard_3-2-1_53KQS_2022-03-06_final
2022-03-06 10:42:53	ga_s2bm_ard_3-2-1_53KPS_2022-03-06_final
2022-03-06 10:42:53	ga_s2bm_ard_3-2-1_53KPT_2022-03-06_final
2022-03-06 10:42:58	ga_s2bm_ard_3-2-1_53KQS_2022-03-06_final
2022-03-06 10:43:31	ga_s2bm_ard_3-2-1_53KPQ_2022-03-06_final
2022-03-07 10:13:24	ga_s2bm_ard_3-2-1_54KXV_2022-03-07_final
2022-03-07 10:16:46	ga_s2bm_ard_3-2-1_54HTG_2022-03-07_final
2022-03-07 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2022-03-07_final
2022-03-08 09:43:06	ga_s2bm_ard_3-2-1_56KLV_2022-03-08_final
2022-03-08 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2022-03-08_final
2022-03-08 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2022-03-08_final.stac-item
2022-03-09 10:53:11	ga_s2bm_ard_3-2-1_53KKS_2022-03-09_final
2022-03-10 10:23:15	ga_s2bm_ard_3-2-1_54KXV_2022-03-10_final
2022-03-10 10:26:42	ga_s2bm_ard_3-2-1_54HTG_2022-03-10_final
2022-03-10 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2022-03-10_final
2022-03-10 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2022-03-10_final
2022-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-03-10_final
2022-03-11 09:53:13	ga_s2bm_ard_3-2-1_55KFQ_2022-03-11_final
2022-03-11 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2022-03-11_final
2022-03-11 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2022-03-11_final
2022-03-11 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2022-03-11_final.stac-item
2022-03-12 11:03:06	ga_s2bm_ard_3-2-1_53KKS_2022-03-12_final
2022-03-12 11:03:44	ga_s2bm_ard_3-2-1_52KFV_2022-03-12_final
2022-03-13 10:32:57	ga_s2bm_ard_3-2-1_54KTB_2022-03-13_final
2022-03-13 10:32:59	ga_s2bm_ard_3-2-1_53KQS_2022-03-13_final
2022-03-13 10:33:04	ga_s2bm_ard_3-2-1_54KTB_2022-03-13_final
2022-03-13 10:33:06	ga_s2bm_ard_3-2-1_53KQS_2022-03-13_final
2022-03-13 10:33:26	ga_s2bm_ard_3-2-1_54KUV_2022-03-13_final
2022-03-13 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2022-03-13_final
2022-03-14 10:03:07	ga_s2bm_ard_3-2-1_55KEQ_2022-03-14_final
2022-03-14 10:06:31	ga_s2bm_ard_3-2-1_55HBB_2022-03-14_final
2022-03-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-03-14_final
2022-03-14 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2022-03-14_final
2022-03-14 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-03-14_final
2022-03-16 10:42:52	ga_s2bm_ard_3-2-1_53KQS_2022-03-16_final
2022-03-16 10:42:59	ga_s2bm_ard_3-2-1_53KQS_2022-03-16_final
2022-03-16 10:43:31	ga_s2bm_ard_3-2-1_53KPQ_2022-03-16_final
2022-03-17 10:13:25	ga_s2bm_ard_3-2-1_54KXV_2022-03-17_final
2022-03-17 10:16:47	ga_s2bm_ard_3-2-1_54HTG_2022-03-17_final
2022-03-17 10:16:50	ga_s2bm_ard_3-2-1_53HQB_2022-03-17_final
2022-03-18 09:43:06	ga_s2bm_ard_3-2-1_56KLV_2022-03-18_final
2022-03-18 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2022-03-18_final
2022-03-18 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2022-03-18_final
2022-03-19 10:53:11	ga_s2bm_ard_3-2-1_53KKS_2022-03-19_final
2022-03-20 10:23:15	ga_s2bm_ard_3-2-1_54KXV_2022-03-20_final
2022-03-20 10:26:43	ga_s2bm_ard_3-2-1_54HTG_2022-03-20_final
2022-03-20 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2022-03-20_final
2022-03-20 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2022-03-20_final
2022-03-20 12:03:37	ga_s2bm_ard_3-2-1_50KKB_2022-03-20_final
2022-03-20 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-03-20_final
2022-03-20 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-03-20_final.stac-item
2022-03-21 09:53:13	ga_s2bm_ard_3-2-1_55KFQ_2022-03-21_final
2022-03-21 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2022-03-21_final
2022-03-21 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2022-03-21_final
2022-03-21 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2022-03-21_final.stac-item
2022-03-22 11:03:05	ga_s2bm_ard_3-2-1_53KKS_2022-03-22_final
2022-03-22 11:03:43	ga_s2bm_ard_3-2-1_52KFV_2022-03-22_final
2022-03-23 10:32:57	ga_s2bm_ard_3-2-1_54KTB_2022-03-23_final
2022-03-23 10:32:58	ga_s2bm_ard_3-2-1_53KQS_2022-03-23_final
2022-03-23 10:33:03	ga_s2bm_ard_3-2-1_54KTB_2022-03-23_final
2022-03-23 10:33:05	ga_s2bm_ard_3-2-1_53KQS_2022-03-23_final
2022-03-23 10:33:25	ga_s2bm_ard_3-2-1_54KUV_2022-03-23_final
2022-03-23 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2022-03-23_final
2022-03-23 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2022-03-23_final.stac-item
2022-03-24 10:06:28	ga_s2bm_ard_3-2-1_55HBB_2022-03-24_final
2022-03-24 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2022-03-24_final
2022-03-24 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2022-03-24_final
2022-03-24 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-03-24_final
2022-03-26 10:42:58	ga_s2bm_ard_3-2-1_53KQS_2022-03-26_final
2022-03-26 10:43:31	ga_s2bm_ard_3-2-1_53KPQ_2022-03-26_final
2022-03-27 10:13:24	ga_s2bm_ard_3-2-1_54KXV_2022-03-27_final
2022-03-27 10:16:46	ga_s2bm_ard_3-2-1_54HTG_2022-03-27_final
2022-03-27 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2022-03-27_final
2022-03-28 09:43:05	ga_s2bm_ard_3-2-1_56KLV_2022-03-28_final
2022-03-28 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2022-03-28_final
2022-03-29 10:53:10	ga_s2bm_ard_3-2-1_53KKS_2022-03-29_final
2022-03-30 10:23:14	ga_s2bm_ard_3-2-1_54KXV_2022-03-30_final
2022-03-30 10:26:41	ga_s2bm_ard_3-2-1_54HTG_2022-03-30_final
2022-03-30 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2022-03-30_final
2022-03-30 12:03:23	ga_s2bm_ard_3-2-1_50KLC_2022-03-30_final
2022-03-30 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-03-30_final
2022-03-31 09:53:11	ga_s2bm_ard_3-2-1_55KFQ_2022-03-31_final
2022-03-31 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-03-31_final
2022-03-31 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2022-03-31_final

Return to ga_s2bm_ard_3 across March 2022 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

2022

March

All days