Search ga_s2bm_ard_3 across October 2021

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
2021-10-01 10:23:43	ga_s2bm_ard_3-2-1_54KVU_2021-10-01_final
2021-10-01 10:25:35	ga_s2bm_ard_3-2-1_54JVL_2021-10-01_final
2021-10-02 09:53:36	ga_s2bm_ard_3-2-1_55KDP_2021-10-02_final
2021-10-02 09:55:30	ga_s2bm_ard_3-2-1_55JDF_2021-10-02_final
2021-10-02 09:55:36	ga_s2bm_ard_3-2-1_55JDF_2021-10-02_final
2021-10-02 09:56:30	ga_s2bm_ard_3-2-1_55HDB_2021-10-02_final
2021-10-02 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-10-02_final
2021-10-02 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-10-02_final
2021-10-02 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-10-02_final.stac-item
2021-10-03 09:25:21	ga_s2bm_ard_3-2-1_56JNL_2021-10-02_final
2021-10-03 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-10-02_final
2021-10-03 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2021-10-03_final
2021-10-05 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2021-10-05_final
2021-10-05 10:05:45	ga_s2bm_ard_3-2-1_54JWL_2021-10-05_final
2021-10-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-10-05_final
2021-10-05 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-10-05_final
2021-10-05 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-10-05_final.stac-item
2021-10-06 09:35:21	ga_s2bm_ard_3-2-1_56JML_2021-10-06_final
2021-10-06 11:12:50	ga_s2bm_ard_3-2-1_52KDD_2021-10-06_final
2021-10-06 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2021-10-06_final
2021-10-06 11:16:59	ga_s2bm_ard_3-2-1_51HWC_2021-10-06_final.stac-item
2021-10-07 10:43:38	ga_s2bm_ard_3-2-1_53KNQ_2021-10-07_final
2021-10-07 10:43:41	ga_s2bm_ard_3-2-1_53KMQ_2021-10-07_final
2021-10-07 10:43:52	ga_s2bm_ard_3-2-1_53KNP_2021-10-07_final
2021-10-08 10:13:45	ga_s2bm_ard_3-2-1_54KWU_2021-10-08_final
2021-10-08 10:15:41	ga_s2bm_ard_3-2-1_54JWL_2021-10-08_final
2021-10-08 10:15:45	ga_s2bm_ard_3-2-1_54JVL_2021-10-08_final
2021-10-08 11:54:01	ga_s2bm_ard_3-2-1_50KNV_2021-10-08_final
2021-10-08 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2021-10-08_final
2021-10-09 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2021-10-09_final
2021-10-09 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2021-10-09_final
2021-10-09 09:46:35	ga_s2bm_ard_3-2-1_55HDB_2021-10-09_final
2021-10-09 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-10-09_final.stac-item
2021-10-09 11:27:04	ga_s2bm_ard_3-2-1_51HWC_2021-10-09_final.stac-item
2021-10-10 10:53:37	ga_s2bm_ard_3-2-1_53KMQ_2021-10-10_final
2021-10-11 10:23:44	ga_s2bm_ard_3-2-1_54KVU_2021-10-11_final
2021-10-11 10:25:36	ga_s2bm_ard_3-2-1_54JVL_2021-10-11_final
2021-10-12 09:53:37	ga_s2bm_ard_3-2-1_55KDP_2021-10-12_final
2021-10-12 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2021-10-12_final
2021-10-12 09:55:37	ga_s2bm_ard_3-2-1_55JDF_2021-10-12_final
2021-10-12 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2021-10-12_final
2021-10-12 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2021-10-12_final
2021-10-12 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-10-12_final
2021-10-12 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-10-12_final.stac-item
2021-10-13 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-10-12_final
2021-10-13 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-10-12_final
2021-10-13 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2021-10-13_final
2021-10-15 10:02:17	ga_s2bm_ard_3-2-1_55KEU_2021-10-15_final
2021-10-15 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2021-10-15_final
2021-10-15 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-10-15_final
2021-10-15 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-15_final
2021-10-15 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-10-15_final.stac-item
2021-10-16 09:35:22	ga_s2bm_ard_3-2-1_56JML_2021-10-16_final
2021-10-16 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2021-10-16_final
2021-10-16 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2021-10-16_final
2021-10-16 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-10-16_final.stac-item
2021-10-17 10:43:39	ga_s2bm_ard_3-2-1_53KNQ_2021-10-17_final
2021-10-17 10:43:42	ga_s2bm_ard_3-2-1_53KMQ_2021-10-17_final
2021-10-17 10:43:53	ga_s2bm_ard_3-2-1_53KNP_2021-10-17_final
2021-10-18 10:13:46	ga_s2bm_ard_3-2-1_54KWU_2021-10-18_final
2021-10-18 10:15:42	ga_s2bm_ard_3-2-1_54JWL_2021-10-18_final
2021-10-18 10:15:46	ga_s2bm_ard_3-2-1_54JVL_2021-10-18_final
2021-10-19 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2021-10-19_final
2021-10-19 09:46:33	ga_s2bm_ard_3-2-1_55HEB_2021-10-19_final
2021-10-19 09:46:36	ga_s2bm_ard_3-2-1_55HDB_2021-10-19_final
2021-10-19 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-10-19_final.stac-item
2021-10-20 10:53:37	ga_s2bm_ard_3-2-1_53KMQ_2021-10-20_final
2021-10-21 10:23:45	ga_s2bm_ard_3-2-1_54KVU_2021-10-21_final
2021-10-21 10:25:37	ga_s2bm_ard_3-2-1_54JVL_2021-10-21_final
2021-10-22 09:53:38	ga_s2bm_ard_3-2-1_55KDP_2021-10-22_final
2021-10-22 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2021-10-22_final
2021-10-22 09:55:38	ga_s2bm_ard_3-2-1_55JDF_2021-10-22_final
2021-10-22 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2021-10-22_final
2021-10-22 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-10-22_final
2021-10-22 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-10-22_final
2021-10-22 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-10-22_final.stac-item
2021-10-23 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-10-22_final
2021-10-23 09:25:27	ga_s2bm_ard_3-2-1_56JML_2021-10-22_final
2021-10-23 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2021-10-23_final
2021-10-25 10:02:17	ga_s2bm_ard_3-2-1_55KEU_2021-10-25_final
2021-10-25 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2021-10-25_final
2021-10-25 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-10-25_final
2021-10-25 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-25_final
2021-10-25 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-10-25_final.stac-item
2021-10-26 09:35:22	ga_s2bm_ard_3-2-1_56JML_2021-10-26_final
2021-10-26 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2021-10-26_final
2021-10-26 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2021-10-26_final
2021-10-26 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-10-26_final.stac-item
2021-10-27 10:43:39	ga_s2bm_ard_3-2-1_53KNQ_2021-10-27_final
2021-10-27 10:43:42	ga_s2bm_ard_3-2-1_53KMQ_2021-10-27_final
2021-10-27 10:43:53	ga_s2bm_ard_3-2-1_53KNP_2021-10-27_final
2021-10-28 10:13:46	ga_s2bm_ard_3-2-1_54KWU_2021-10-28_final
2021-10-28 10:15:42	ga_s2bm_ard_3-2-1_54JWL_2021-10-28_final
2021-10-28 10:15:46	ga_s2bm_ard_3-2-1_54JVL_2021-10-28_final
2021-10-29 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2021-10-29_final
2021-10-29 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2021-10-29_final
2021-10-29 09:46:36	ga_s2bm_ard_3-2-1_55HDB_2021-10-29_final
2021-10-29 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-10-29_final.stac-item
2021-10-30 10:53:37	ga_s2bm_ard_3-2-1_53KMQ_2021-10-30_final
2021-10-31 10:23:45	ga_s2bm_ard_3-2-1_54KVU_2021-10-31_final

Return to ga_s2bm_ard_3 across October 2021 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

2021

October

All days