Search ga_s2bm_ard_3 across May 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:

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First 100 results (query limit)

Time (local)	Label
2023-05-02 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2023-05-02_final.stac-item
2023-05-02 09:48:24	ga_s2bm_ard_3-2-1_55GEP_2023-05-02_final.stac-item
2023-05-02 09:48:33	ga_s2bm_ard_3-2-1_55GDP_2023-05-02_final.stac-item
2023-05-02 09:48:37	ga_s2bm_ard_3-2-1_55GCP_2023-05-02_final.stac-item
2023-05-02 09:48:45	ga_s2bm_ard_3-2-1_54GXU_2023-05-02_nrt.stac-item
2023-05-02 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2023-05-02_final.stac-item
2023-05-02 09:48:49	ga_s2bm_ard_3-2-1_54GYT_2023-05-02_nrt.stac-item
2023-05-02 09:48:51	ga_s2bm_ard_3-2-1_54GXT_2023-05-02_nrt.stac-item
2023-05-02 09:48:54	ga_s2bm_ard_3-2-1_55GCN_2023-05-02_final.stac-item
2023-05-02 09:48:56	ga_s2bm_ard_3-2-1_54GYT_2023-05-02_nrt.stac-item
2023-05-02 09:48:58	ga_s2bm_ard_3-2-1_54GXT_2023-05-02_nrt.stac-item
2023-05-02 09:49:00	ga_s2bm_ard_3-2-1_55GDM_2023-05-02_final.stac-item
2023-05-02 09:49:02	ga_s2bm_ard_3-2-1_55GCM_2023-05-02_final.stac-item
2023-05-02 09:49:04	ga_s2bm_ard_3-2-1_54GYS_2023-05-02_nrt.stac-item
2023-05-02 09:49:06	ga_s2bm_ard_3-2-1_54GXS_2023-05-02_nrt.stac-item
2023-05-05 09:57:10	ga_s2bm_ard_3-2-1_54HYE_2023-05-05_final.stac-item
2023-05-05 09:58:31	ga_s2bm_ard_3-2-1_54GYU_2023-05-05_nrt.stac-item
2023-05-05 09:58:31	ga_s2bm_ard_3-2-1_55GBP_2023-05-05_nrt.stac-item
2023-05-05 09:58:33	ga_s2bm_ard_3-2-1_54GXU_2023-05-05_nrt.stac-item
2023-05-06 09:27:01	ga_s2bm_ard_3-2-1_56HKE_2023-05-05_nrt.stac-item
2023-05-06 09:28:25	ga_s2bm_ard_3-2-1_56GLU_2023-05-05_nrt.stac-item
2023-05-06 09:28:31	ga_s2bm_ard_3-2-1_56GMT_2023-05-05_nrt.stac-item
2023-05-06 09:28:33	ga_s2bm_ard_3-2-1_56GMT_2023-05-05_nrt.stac-item
2023-05-06 09:28:34	ga_s2bm_ard_3-2-1_56GLT_2023-05-05_nrt.stac-item
2023-05-06 09:28:41	ga_s2bm_ard_3-2-1_56GLT_2023-05-05_nrt.stac-item
2023-05-06 09:28:51	ga_s2bm_ard_3-2-1_55GEN_2023-05-05_final.stac-item
2023-05-08 10:07:06	ga_s2bm_ard_3-2-1_54HYE_2023-05-08_final.stac-item
2023-05-09 09:36:58	ga_s2bm_ard_3-2-1_56HKE_2023-05-09_nrt.stac-item
2023-05-09 09:36:59	ga_s2bm_ard_3-2-1_55HGV_2023-05-09_final.stac-item
2023-05-09 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2023-05-09_final.stac-item
2023-05-09 09:38:29	ga_s2bm_ard_3-2-1_55GFP_2023-05-09_final.stac-item
2023-05-09 09:38:37	ga_s2bm_ard_3-2-1_55GDP_2023-05-09_final.stac-item
2023-05-09 09:38:43	ga_s2bm_ard_3-2-1_55GCP_2023-05-09_final.stac-item
2023-05-09 09:38:48	ga_s2bm_ard_3-2-1_55GEN_2023-05-09_final.stac-item
2023-05-09 09:39:05	ga_s2bm_ard_3-2-1_55GDM_2023-05-09_final.stac-item
2023-05-09 09:39:06	ga_s2bm_ard_3-2-1_55GCM_2023-05-09_final.stac-item
2023-05-12 09:48:33	ga_s2bm_ard_3-2-1_55GDP_2023-05-12_final.stac-item
2023-05-12 09:48:37	ga_s2bm_ard_3-2-1_55GCP_2023-05-12_final.stac-item
2023-05-12 09:48:40	ga_s2bm_ard_3-2-1_54GYU_2023-05-12_nrt.stac-item
2023-05-12 09:48:40	ga_s2bm_ard_3-2-1_55GBP_2023-05-12_nrt.stac-item
2023-05-12 09:48:45	ga_s2bm_ard_3-2-1_54GXU_2023-05-12_nrt.stac-item
2023-05-12 09:48:54	ga_s2bm_ard_3-2-1_54GYT_2023-05-12_nrt.stac-item
2023-05-12 09:48:58	ga_s2bm_ard_3-2-1_54GXT_2023-05-12_nrt.stac-item
2023-05-12 09:49:02	ga_s2bm_ard_3-2-1_55GDM_2023-05-12_final.stac-item
2023-05-12 09:49:04	ga_s2bm_ard_3-2-1_55GCM_2023-05-12_final.stac-item
2023-05-12 09:49:06	ga_s2bm_ard_3-2-1_54GYS_2023-05-12_nrt.stac-item
2023-05-12 09:49:08	ga_s2bm_ard_3-2-1_54GXS_2023-05-12_nrt.stac-item
2023-05-15 09:57:12	ga_s2bm_ard_3-2-1_54HYE_2023-05-15_final.stac-item
2023-05-15 09:58:32	ga_s2bm_ard_3-2-1_54GYU_2023-05-15_nrt.stac-item
2023-05-15 09:58:33	ga_s2bm_ard_3-2-1_55GBP_2023-05-15_nrt.stac-item
2023-05-15 09:58:35	ga_s2bm_ard_3-2-1_54GXU_2023-05-15_nrt.stac-item
2023-05-16 09:27:03	ga_s2bm_ard_3-2-1_56HKE_2023-05-15_nrt.stac-item
2023-05-16 09:27:05	ga_s2bm_ard_3-2-1_55HGV_2023-05-15_final.stac-item
2023-05-16 09:28:27	ga_s2bm_ard_3-2-1_56GLU_2023-05-15_nrt.stac-item
2023-05-16 09:28:40	ga_s2bm_ard_3-2-1_55GEP_2023-05-15_final.stac-item
2023-05-16 09:28:53	ga_s2bm_ard_3-2-1_55GEN_2023-05-15_final.stac-item
2023-05-18 10:07:08	ga_s2bm_ard_3-2-1_54HYE_2023-05-18_final.stac-item
2023-05-19 09:37:00	ga_s2bm_ard_3-2-1_56HKE_2023-05-19_nrt.stac-item
2023-05-19 09:37:01	ga_s2bm_ard_3-2-1_55HGV_2023-05-19_final.stac-item
2023-05-19 09:38:31	ga_s2bm_ard_3-2-1_55GFP_2023-05-19_final.stac-item
2023-05-19 09:38:39	ga_s2bm_ard_3-2-1_55GDP_2023-05-19_final.stac-item
2023-05-19 09:38:45	ga_s2bm_ard_3-2-1_55GCP_2023-05-19_final.stac-item
2023-05-19 09:38:50	ga_s2bm_ard_3-2-1_55GEN_2023-05-19_final.stac-item
2023-05-19 09:39:07	ga_s2bm_ard_3-2-1_55GDM_2023-05-19_final.stac-item
2023-05-19 09:39:08	ga_s2bm_ard_3-2-1_55GCM_2023-05-19_final.stac-item
2023-05-22 09:48:27	ga_s2bm_ard_3-2-1_55GEP_2023-05-22_final.stac-item
2023-05-22 09:48:35	ga_s2bm_ard_3-2-1_55GDP_2023-05-22_final.stac-item
2023-05-22 09:48:39	ga_s2bm_ard_3-2-1_55GCP_2023-05-22_final.stac-item
2023-05-22 09:48:42	ga_s2bm_ard_3-2-1_54GYU_2023-05-22_nrt.stac-item
2023-05-22 09:48:42	ga_s2bm_ard_3-2-1_55GBP_2023-05-22_nrt.stac-item
2023-05-22 09:48:45	ga_s2bm_ard_3-2-1_54GXU_2023-05-22_nrt.stac-item
2023-05-22 09:48:47	ga_s2bm_ard_3-2-1_55GCP_2023-05-22_final.stac-item
2023-05-22 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2023-05-22_final.stac-item
2023-05-22 09:48:48	ga_s2bm_ard_3-2-1_54GYT_2023-05-22_nrt.stac-item
2023-05-22 09:48:48	ga_s2bm_ard_3-2-1_54GYU_2023-05-22_nrt.stac-item
2023-05-22 09:48:49	ga_s2bm_ard_3-2-1_55GBP_2023-05-22_nrt.stac-item
2023-05-22 09:48:50	ga_s2bm_ard_3-2-1_54GXU_2023-05-22_nrt.stac-item
2023-05-22 09:48:57	ga_s2bm_ard_3-2-1_54GYT_2023-05-22_nrt.stac-item
2023-05-22 09:49:00	ga_s2bm_ard_3-2-1_54GXT_2023-05-22_nrt.stac-item
2023-05-22 09:49:02	ga_s2bm_ard_3-2-1_55GDM_2023-05-22_final.stac-item
2023-05-22 09:49:04	ga_s2bm_ard_3-2-1_55GCM_2023-05-22_final.stac-item
2023-05-22 09:49:05	ga_s2bm_ard_3-2-1_54GYS_2023-05-22_nrt.stac-item
2023-05-22 09:49:07	ga_s2bm_ard_3-2-1_54GXS_2023-05-22_nrt.stac-item
2023-05-25 09:57:13	ga_s2bm_ard_3-2-1_54HYE_2023-05-25_final.stac-item
2023-05-25 09:58:34	ga_s2bm_ard_3-2-1_54GYU_2023-05-25_nrt.stac-item
2023-05-25 09:58:34	ga_s2bm_ard_3-2-1_55GBP_2023-05-25_nrt.stac-item
2023-05-25 09:58:36	ga_s2bm_ard_3-2-1_54GXU_2023-05-25_nrt.stac-item
2023-05-26 09:27:03	ga_s2bm_ard_3-2-1_56HKE_2023-05-25_nrt.stac-item
2023-05-26 09:27:05	ga_s2bm_ard_3-2-1_55HGV_2023-05-25_final.stac-item
2023-05-26 09:28:28	ga_s2bm_ard_3-2-1_56GLU_2023-05-25_nrt.stac-item
2023-05-26 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2023-05-25_final.stac-item
2023-05-26 09:28:54	ga_s2bm_ard_3-2-1_55GEN_2023-05-25_final.stac-item
2023-05-28 10:07:08	ga_s2bm_ard_3-2-1_54HYE_2023-05-28_final.stac-item
2023-05-29 09:36:59	ga_s2bm_ard_3-2-1_56HKE_2023-05-29_nrt.stac-item
2023-05-29 09:37:01	ga_s2bm_ard_3-2-1_55HGV_2023-05-29_final.stac-item
2023-05-29 09:38:31	ga_s2bm_ard_3-2-1_55GFP_2023-05-29_final.stac-item
2023-05-29 09:38:39	ga_s2bm_ard_3-2-1_55GDP_2023-05-29_final.stac-item
2023-05-29 09:38:44	ga_s2bm_ard_3-2-1_55GCP_2023-05-29_final.stac-item
2023-05-29 09:38:49	ga_s2bm_ard_3-2-1_55GEN_2023-05-29_final.stac-item
2023-05-29 09:39:06	ga_s2bm_ard_3-2-1_55GDM_2023-05-29_final.stac-item

Return to ga_s2bm_ard_3 across May 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

May

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