Search ga_s2bm_ard_3 across September 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
2023-09-01 10:23:59	ga_s2bm_ard_3-2-1_54JWT_2023-09-01_final.stac-item
2023-09-01 10:24:21	ga_s2bm_ard_3-2-1_54JUS_2023-09-01_final.stac-item
2023-09-01 12:03:34	ga_s2bm_ard_3-2-1_50KKC_2023-09-01_nrt.stac-item
2023-09-01 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2023-09-01_final.stac-item
2023-09-02 09:53:52	ga_s2bm_ard_3-2-1_55JEN_2023-09-02_final.stac-item
2023-09-02 09:53:56	ga_s2bm_ard_3-2-1_55JDN_2023-09-02_final.stac-item
2023-09-02 09:54:02	ga_s2bm_ard_3-2-1_55JCN_2023-09-02_final.stac-item
2023-09-02 09:54:03	ga_s2bm_ard_3-2-1_55JFM_2023-09-02_final.stac-item
2023-09-03 09:23:44	ga_s2bm_ard_3-2-1_56JNT_2023-09-02_final.stac-item
2023-09-03 11:02:08	ga_s2bm_ard_3-2-1_53KLA_2023-09-03_final.stac-item
2023-09-03 11:02:16	ga_s2bm_ard_3-2-1_52KHF_2023-09-03_final.stac-item
2023-09-03 11:02:59	ga_s2bm_ard_3-2-1_53KKT_2023-09-03_final.stac-item
2023-09-03 11:03:03	ga_s2bm_ard_3-2-1_52KGC_2023-09-03_final.stac-item
2023-09-04 10:32:56	ga_s2bm_ard_3-2-1_53KQT_2023-09-04_final.stac-item
2023-09-04 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-09-04_nrt.stac-item
2023-09-04 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-09-04_nrt.stac-item
2023-09-04 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-09-04_nrt.stac-item
2023-09-05 10:02:44	ga_s2bm_ard_3-2-1_55KBT_2023-09-05_final.stac-item
2023-09-05 10:03:51	ga_s2bm_ard_3-2-1_55JDN_2023-09-05_final.stac-item
2023-09-05 10:04:01	ga_s2bm_ard_3-2-1_54JYT_2023-09-05_final.stac-item
2023-09-05 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-09-05_final.stac-item
2023-09-06 09:33:40	ga_s2bm_ard_3-2-1_56JNT_2023-09-06_final.stac-item
2023-09-06 09:33:44	ga_s2bm_ard_3-2-1_56JMT_2023-09-06_final.stac-item
2023-09-06 09:34:01	ga_s2bm_ard_3-2-1_56JLS_2023-09-06_final.stac-item
2023-09-06 11:14:39	ga_s2bm_ard_3-2-1_52JCS_2023-09-06_final.stac-item
2023-09-07 10:44:21	ga_s2bm_ard_3-2-1_53JPM_2023-09-07_final.stac-item
2023-09-08 10:12:39	ga_s2bm_ard_3-2-1_55KBT_2023-09-08_final.stac-item
2023-09-08 10:12:44	ga_s2bm_ard_3-2-1_54KYC_2023-09-08_final.stac-item
2023-09-08 10:13:56	ga_s2bm_ard_3-2-1_54JYT_2023-09-08_final.stac-item
2023-09-08 10:14:03	ga_s2bm_ard_3-2-1_54JWT_2023-09-08_final.stac-item
2023-09-08 10:14:10	ga_s2bm_ard_3-2-1_54JVT_2023-09-08_final.stac-item
2023-09-08 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2023-09-08_final.stac-item
2023-09-08 11:55:02	ga_s2bm_ard_3-2-1_50JLS_2023-09-08_final.stac-item
2023-09-09 09:43:56	ga_s2bm_ard_3-2-1_56JLS_2023-09-09_final.stac-item
2023-09-09 11:22:27	ga_s2bm_ard_3-2-1_51KZA_2023-09-09_final.stac-item
2023-09-10 10:53:03	ga_s2bm_ard_3-2-1_53KKT_2023-09-10_final.stac-item
2023-09-10 10:54:27	ga_s2bm_ard_3-2-1_53JLM_2023-09-10_final.stac-item
2023-09-11 10:23:58	ga_s2bm_ard_3-2-1_54JWT_2023-09-11_final.stac-item
2023-09-11 10:24:20	ga_s2bm_ard_3-2-1_54JUS_2023-09-11_final.stac-item
2023-09-11 12:03:33	ga_s2bm_ard_3-2-1_50KKC_2023-09-11_nrt.stac-item
2023-09-11 12:04:57	ga_s2bm_ard_3-2-1_50JLS_2023-09-11_final.stac-item
2023-09-12 09:53:51	ga_s2bm_ard_3-2-1_55JEN_2023-09-12_final.stac-item
2023-09-12 09:53:54	ga_s2bm_ard_3-2-1_55JDN_2023-09-12_final.stac-item
2023-09-13 09:23:43	ga_s2bm_ard_3-2-1_56JNT_2023-09-12_final.stac-item
2023-09-13 11:02:06	ga_s2bm_ard_3-2-1_53KLA_2023-09-13_final.stac-item
2023-09-13 11:02:15	ga_s2bm_ard_3-2-1_52KHF_2023-09-13_final.stac-item
2023-09-13 11:02:57	ga_s2bm_ard_3-2-1_53KKT_2023-09-13_final.stac-item
2023-09-13 11:03:02	ga_s2bm_ard_3-2-1_52KGC_2023-09-13_final.stac-item
2023-09-14 10:32:54	ga_s2bm_ard_3-2-1_53KQT_2023-09-14_final.stac-item
2023-09-14 12:13:31	ga_s2bm_ard_3-2-1_50KKC_2023-09-14_nrt.stac-item
2023-09-14 12:13:31	ga_s2bm_ard_3-2-1_49KHT_2023-09-14_nrt.stac-item
2023-09-15 10:02:39	ga_s2bm_ard_3-2-1_55KBT_2023-09-15_final.stac-item
2023-09-15 10:03:49	ga_s2bm_ard_3-2-1_55JDN_2023-09-15_final.stac-item
2023-09-15 10:03:59	ga_s2bm_ard_3-2-1_54JYT_2023-09-15_final.stac-item
2023-09-15 11:43:24	ga_s2bm_ard_3-2-1_50KQC_2023-09-15_final.stac-item
2023-09-16 09:33:38	ga_s2bm_ard_3-2-1_56JNT_2023-09-16_final.stac-item
2023-09-16 09:33:42	ga_s2bm_ard_3-2-1_56JMT_2023-09-16_final.stac-item
2023-09-16 09:34:00	ga_s2bm_ard_3-2-1_56JLS_2023-09-16_final.stac-item
2023-09-16 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2023-09-16_final.stac-item
2023-09-17 10:44:20	ga_s2bm_ard_3-2-1_53JPM_2023-09-17_final.stac-item
2023-09-18 10:12:38	ga_s2bm_ard_3-2-1_55KBT_2023-09-18_final.stac-item
2023-09-18 10:12:43	ga_s2bm_ard_3-2-1_54KYC_2023-09-18_final.stac-item
2023-09-18 10:13:55	ga_s2bm_ard_3-2-1_54JYT_2023-09-18_final.stac-item
2023-09-18 10:14:02	ga_s2bm_ard_3-2-1_54JWT_2023-09-18_final.stac-item
2023-09-18 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2023-09-18_final.stac-item
2023-09-18 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2023-09-18_final.stac-item
2023-09-19 09:43:56	ga_s2bm_ard_3-2-1_56JLS_2023-09-19_final.stac-item
2023-09-19 11:22:27	ga_s2bm_ard_3-2-1_51KZA_2023-09-19_final.stac-item
2023-09-20 10:53:02	ga_s2bm_ard_3-2-1_53KKT_2023-09-20_final.stac-item
2023-09-21 10:23:58	ga_s2bm_ard_3-2-1_54JWT_2023-09-21_final.stac-item
2023-09-21 10:24:24	ga_s2bm_ard_3-2-1_54JUS_2023-09-21_final.stac-item
2023-09-21 12:03:33	ga_s2bm_ard_3-2-1_50KKC_2023-09-21_nrt.stac-item
2023-09-21 12:04:57	ga_s2bm_ard_3-2-1_50JLS_2023-09-21_final.stac-item
2023-09-22 09:53:51	ga_s2bm_ard_3-2-1_55JEN_2023-09-22_final.stac-item
2023-09-22 09:53:54	ga_s2bm_ard_3-2-1_55JDN_2023-09-22_final.stac-item
2023-09-22 09:54:01	ga_s2bm_ard_3-2-1_55JCN_2023-09-22_final.stac-item
2023-09-23 09:23:43	ga_s2bm_ard_3-2-1_56JNT_2023-09-22_final.stac-item
2023-09-23 11:02:07	ga_s2bm_ard_3-2-1_53KLA_2023-09-23_final.stac-item
2023-09-23 11:02:15	ga_s2bm_ard_3-2-1_52KHF_2023-09-23_final.stac-item
2023-09-23 11:02:58	ga_s2bm_ard_3-2-1_53KKT_2023-09-23_final.stac-item
2023-09-23 11:03:02	ga_s2bm_ard_3-2-1_52KGC_2023-09-23_final.stac-item
2023-09-24 10:32:55	ga_s2bm_ard_3-2-1_53KQT_2023-09-24_final.stac-item
2023-09-24 12:13:32	ga_s2bm_ard_3-2-1_50KKC_2023-09-24_nrt.stac-item
2023-09-24 12:13:34	ga_s2bm_ard_3-2-1_49KGT_2023-09-24_nrt.stac-item
2023-09-25 10:02:43	ga_s2bm_ard_3-2-1_55KBT_2023-09-25_final.stac-item
2023-09-25 10:03:50	ga_s2bm_ard_3-2-1_55JDN_2023-09-25_final.stac-item
2023-09-25 11:43:25	ga_s2bm_ard_3-2-1_50KQC_2023-09-25_final.stac-item
2023-09-26 09:33:39	ga_s2bm_ard_3-2-1_56JNT_2023-09-26_final.stac-item
2023-09-26 09:33:42	ga_s2bm_ard_3-2-1_56JMT_2023-09-26_final.stac-item
2023-09-26 09:34:00	ga_s2bm_ard_3-2-1_56JLS_2023-09-26_final.stac-item
2023-09-26 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2023-09-26_final.stac-item
2023-09-27 10:44:19	ga_s2bm_ard_3-2-1_53JPM_2023-09-27_final.stac-item
2023-09-28 10:12:38	ga_s2bm_ard_3-2-1_55KBT_2023-09-28_final.stac-item
2023-09-28 10:12:42	ga_s2bm_ard_3-2-1_54KYC_2023-09-28_final.stac-item
2023-09-28 10:13:54	ga_s2bm_ard_3-2-1_54JYT_2023-09-28_final.stac-item
2023-09-28 10:14:02	ga_s2bm_ard_3-2-1_54JWT_2023-09-28_final.stac-item
2023-09-28 10:14:08	ga_s2bm_ard_3-2-1_54JVT_2023-09-28_final.stac-item
2023-09-28 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2023-09-28_final.stac-item
2023-09-29 09:43:55	ga_s2bm_ard_3-2-1_56JLS_2023-09-29_final.stac-item
2023-09-29 11:22:26	ga_s2bm_ard_3-2-1_51KZA_2023-09-29_final.stac-item

Return to ga_s2bm_ard_3 across September 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

September

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