Search ga_s2bm_ard_3 across April 2023

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
2023-04-01 10:12:05	ga_s2bm_ard_3-2-1_54KXF_2023-04-01_final.stac-item
2023-04-01 11:52:44	ga_s2bm_ard_3-2-1_50KNF_2023-04-01_nrt.stac-item
2023-04-02 09:41:45	ga_s2bm_ard_3-2-1_56KLF_2023-04-02_final.stac-item
2023-04-02 09:42:10	ga_s2bm_ard_3-2-1_56KMD_2023-04-02_final.stac-item
2023-04-03 10:52:37	ga_s2bm_ard_3-2-1_53KNU_2023-04-03_final.stac-item
2023-04-04 10:22:05	ga_s2bm_ard_3-2-1_54KVF_2023-04-04_final.stac-item
2023-04-04 12:03:08	ga_s2bm_ard_3-2-1_50KND_2023-04-04_nrt.stac-item
2023-04-04 12:03:12	ga_s2bm_ard_3-2-1_50KMD_2023-04-04_nrt.stac-item
2023-04-05 09:51:51	ga_s2bm_ard_3-2-1_55KFA_2023-04-05_final.stac-item
2023-04-05 09:51:56	ga_s2bm_ard_3-2-1_55KEA_2023-04-05_nrt.stac-item
2023-04-05 11:32:29	ga_s2bm_ard_3-2-1_51KXA_2023-04-05_final.stac-item
2023-04-05 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2023-04-05_final.stac-item
2023-04-05 11:32:35	ga_s2bm_ard_3-2-1_51KVA_2023-04-05_final.stac-item
2023-04-05 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2023-04-05_final.stac-item
2023-04-05 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2023-04-05_final.stac-item
2023-04-06 11:02:55	ga_s2bm_ard_3-2-1_52KED_2023-04-06_final.stac-item
2023-04-07 10:32:03	ga_s2bm_ard_3-2-1_54KUF_2023-04-07_final.stac-item
2023-04-07 10:32:47	ga_s2bm_ard_3-2-1_53KQU_2023-04-07_final.stac-item
2023-04-08 10:01:45	ga_s2bm_ard_3-2-1_55KFA_2023-04-08_final.stac-item
2023-04-08 10:01:52	ga_s2bm_ard_3-2-1_55KDA_2023-04-08_final.stac-item
2023-04-08 10:02:18	ga_s2bm_ard_3-2-1_55KEU_2023-04-08_final.stac-item
2023-04-08 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2023-04-08_final.stac-item
2023-04-08 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-04-08_final.stac-item
2023-04-08 11:42:33	ga_s2bm_ard_3-2-1_51KUA_2023-04-08_final.stac-item
2023-04-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-04-08_final.stac-item
2023-04-08 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-04-08_final.stac-item
2023-04-09 11:12:16	ga_s2bm_ard_3-2-1_52KFF_2023-04-09_final.stac-item
2023-04-09 11:12:19	ga_s2bm_ard_3-2-1_52KEF_2023-04-09_final.stac-item
2023-04-09 11:12:23	ga_s2bm_ard_3-2-1_52KDF_2023-04-09_final.stac-item
2023-04-09 11:12:26	ga_s2bm_ard_3-2-1_52KCF_2023-04-09_final.stac-item
2023-04-09 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2023-04-09_final.stac-item
2023-04-09 11:12:48	ga_s2bm_ard_3-2-1_52KED_2023-04-09_final.stac-item
2023-04-09 11:12:52	ga_s2bm_ard_3-2-1_52KDD_2023-04-09_final.stac-item
2023-04-09 11:16:22	ga_s2bm_ard_3-2-1_51JWF_2023-04-09_final.stac-item
2023-04-10 10:42:12	ga_s2bm_ard_3-2-1_53KNA_2023-04-10_final.stac-item
2023-04-10 10:42:41	ga_s2bm_ard_3-2-1_53KNU_2023-04-10_final.stac-item
2023-04-11 10:12:03	ga_s2bm_ard_3-2-1_54KXF_2023-04-11_final.stac-item
2023-04-11 11:52:42	ga_s2bm_ard_3-2-1_50KNF_2023-04-11_nrt.stac-item
2023-04-12 09:41:43	ga_s2bm_ard_3-2-1_56KLF_2023-04-12_final.stac-item
2023-04-12 09:42:08	ga_s2bm_ard_3-2-1_56KMD_2023-04-12_final.stac-item
2023-04-13 10:52:34	ga_s2bm_ard_3-2-1_53KNU_2023-04-13_final.stac-item
2023-04-14 10:22:06	ga_s2bm_ard_3-2-1_54KWF_2023-04-14_final.stac-item
2023-04-14 12:03:06	ga_s2bm_ard_3-2-1_50KND_2023-04-14_nrt.stac-item
2023-04-14 12:03:09	ga_s2bm_ard_3-2-1_50KMD_2023-04-14_nrt.stac-item
2023-04-15 09:51:49	ga_s2bm_ard_3-2-1_55KFA_2023-04-15_final.stac-item
2023-04-15 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2023-04-15_final.stac-item
2023-04-15 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2023-04-15_final.stac-item
2023-04-15 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2023-04-15_final.stac-item
2023-04-15 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2023-04-15_final.stac-item
2023-04-16 11:02:53	ga_s2bm_ard_3-2-1_52KED_2023-04-16_final.stac-item
2023-04-17 10:32:02	ga_s2bm_ard_3-2-1_54KUF_2023-04-17_final.stac-item
2023-04-18 10:01:44	ga_s2bm_ard_3-2-1_55KFA_2023-04-18_final.stac-item
2023-04-18 10:01:52	ga_s2bm_ard_3-2-1_55KDA_2023-04-18_final.stac-item
2023-04-18 10:02:17	ga_s2bm_ard_3-2-1_55KEU_2023-04-18_final.stac-item
2023-04-18 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-04-18_final.stac-item
2023-04-18 11:42:33	ga_s2bm_ard_3-2-1_51KUA_2023-04-18_final.stac-item
2023-04-18 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-04-18_final.stac-item
2023-04-18 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-04-18_final.stac-item
2023-04-19 11:12:15	ga_s2bm_ard_3-2-1_52KFF_2023-04-19_final.stac-item
2023-04-19 11:12:19	ga_s2bm_ard_3-2-1_52KEF_2023-04-19_final.stac-item
2023-04-19 11:12:22	ga_s2bm_ard_3-2-1_52KDF_2023-04-19_final.stac-item
2023-04-19 11:12:25	ga_s2bm_ard_3-2-1_52KCF_2023-04-19_final.stac-item
2023-04-19 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2023-04-19_final.stac-item
2023-04-19 11:12:48	ga_s2bm_ard_3-2-1_52KED_2023-04-19_final.stac-item
2023-04-19 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2023-04-19_final.stac-item
2023-04-19 11:16:21	ga_s2bm_ard_3-2-1_51JWF_2023-04-19_final.stac-item
2023-04-20 10:42:12	ga_s2bm_ard_3-2-1_53KNA_2023-04-20_final.stac-item
2023-04-20 10:42:41	ga_s2bm_ard_3-2-1_53KNU_2023-04-20_final.stac-item
2023-04-21 11:52:43	ga_s2bm_ard_3-2-1_50KNF_2023-04-21_nrt.stac-item
2023-04-22 09:41:43	ga_s2bm_ard_3-2-1_56KLF_2023-04-22_final.stac-item
2023-04-22 09:42:09	ga_s2bm_ard_3-2-1_56KMD_2023-04-22_final.stac-item
2023-04-22 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2023-04-22_final.stac-item
2023-04-23 10:52:36	ga_s2bm_ard_3-2-1_53KNU_2023-04-23_final.stac-item
2023-04-24 10:22:00	ga_s2bm_ard_3-2-1_54KWF_2023-04-24_final.stac-item
2023-04-24 12:03:07	ga_s2bm_ard_3-2-1_50KND_2023-04-24_nrt.stac-item
2023-04-24 12:03:11	ga_s2bm_ard_3-2-1_50KMD_2023-04-24_nrt.stac-item
2023-04-25 09:51:50	ga_s2bm_ard_3-2-1_55KFA_2023-04-25_final.stac-item
2023-04-25 11:32:28	ga_s2bm_ard_3-2-1_51KXA_2023-04-25_final.stac-item
2023-04-25 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2023-04-25_final.stac-item
2023-04-25 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2023-04-25_final.stac-item
2023-04-25 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-04-25_final.stac-item
2023-04-26 11:02:53	ga_s2bm_ard_3-2-1_52KED_2023-04-26_final.stac-item
2023-04-27 10:32:02	ga_s2bm_ard_3-2-1_54KUF_2023-04-27_final.stac-item
2023-04-27 10:32:46	ga_s2bm_ard_3-2-1_53KQU_2023-04-27_final.stac-item
2023-04-28 10:01:44	ga_s2bm_ard_3-2-1_55KFA_2023-04-28_final.stac-item
2023-04-28 10:01:52	ga_s2bm_ard_3-2-1_55KDA_2023-04-28_final.stac-item
2023-04-28 10:02:17	ga_s2bm_ard_3-2-1_55KEU_2023-04-28_final.stac-item
2023-04-28 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-04-28_final.stac-item
2023-04-28 11:42:33	ga_s2bm_ard_3-2-1_51KUA_2023-04-28_final.stac-item
2023-04-28 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-04-28_final.stac-item
2023-04-28 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-04-28_final.stac-item
2023-04-29 11:12:15	ga_s2bm_ard_3-2-1_52KFF_2023-04-29_final.stac-item
2023-04-29 11:12:19	ga_s2bm_ard_3-2-1_52KEF_2023-04-29_final.stac-item
2023-04-29 11:12:22	ga_s2bm_ard_3-2-1_52KDF_2023-04-29_final.stac-item
2023-04-29 11:12:25	ga_s2bm_ard_3-2-1_52KCF_2023-04-29_final.stac-item
2023-04-29 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2023-04-29_final.stac-item
2023-04-29 11:12:48	ga_s2bm_ard_3-2-1_52KED_2023-04-29_final.stac-item
2023-04-29 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2023-04-29_final.stac-item
2023-04-29 11:16:21	ga_s2bm_ard_3-2-1_51JWF_2023-04-29_final.stac-item
2023-04-30 10:42:12	ga_s2bm_ard_3-2-1_53KNA_2023-04-30_final.stac-item

Return to ga_s2bm_ard_3 across April 2023 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

2023

April

All days