Search ga_s2bm_ard_3 across February 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
2023-02-01 09:41:18	ga_s2bm_ard_3-2-1_56KNG_2023-02-01_nrt.stac-item
2023-02-01 09:41:21	ga_s2bm_ard_3-2-1_56KMG_2023-02-01_final.stac-item
2023-02-01 11:21:07	ga_s2bm_ard_3-2-1_52LBL_2023-02-01_nrt.stac-item
2023-02-01 11:21:08	ga_s2bm_ard_3-2-1_51LZF_2023-02-01_nrt.stac-item
2023-02-01 11:21:58	ga_s2bm_ard_3-2-1_52KDG_2023-02-01_final.stac-item
2023-02-01 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2023-02-01_final.stac-item
2023-02-01 11:25:25	ga_s2bm_ard_3-2-1_51JWJ_2023-02-01_final.stac-item
2023-02-01 11:25:28	ga_s2bm_ard_3-2-1_51JVJ_2023-02-01_final.stac-item
2023-02-03 10:21:55	ga_s2bm_ard_3-2-1_54KWF_2023-02-03_final.stac-item
2023-02-03 10:27:09	ga_s2bm_ard_3-2-1_54HTE_2023-02-03_final.stac-item
2023-02-03 10:27:14	ga_s2bm_ard_3-2-1_53HNV_2023-02-03_nrt.stac-item
2023-02-03 12:01:13	ga_s2bm_ard_3-2-1_50LQL_2023-02-03_nrt.stac-item
2023-02-03 12:01:17	ga_s2bm_ard_3-2-1_50LPL_2023-02-03_nrt.stac-item
2023-02-04 09:57:04	ga_s2bm_ard_3-2-1_55HBV_2023-02-04_final.stac-item
2023-02-04 11:31:03	ga_s2bm_ard_3-2-1_51LZF_2023-02-04_nrt.stac-item
2023-02-04 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2023-02-04_final.stac-item
2023-02-04 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2023-02-04_final.stac-item
2023-02-04 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2023-02-04_final.stac-item
2023-02-06 10:30:45	ga_s2bm_ard_3-2-1_54LUL_2023-02-06_nrt.stac-item
2023-02-06 10:35:06	ga_s2bm_ard_3-2-1_53JNJ_2023-02-06_final.stac-item
2023-02-07 10:00:29	ga_s2bm_ard_3-2-1_55LFF_2023-02-07_nrt.stac-item
2023-02-07 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-02-07_final.stac-item
2023-02-07 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-02-07_final.stac-item
2023-02-08 09:31:24	ga_s2bm_ard_3-2-1_56KPG_2023-02-08_nrt.stac-item
2023-02-08 09:31:26	ga_s2bm_ard_3-2-1_56KNG_2023-02-08_nrt.stac-item
2023-02-09 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2023-02-09_final.stac-item
2023-02-10 10:10:34	ga_s2bm_ard_3-2-1_55LCF_2023-02-10_nrt.stac-item
2023-02-10 10:11:32	ga_s2bm_ard_3-2-1_55KCB_2023-02-10_final.stac-item
2023-02-10 10:16:51	ga_s2bm_ard_3-2-1_54HWF_2023-02-10_final.stac-item
2023-02-10 10:17:16	ga_s2bm_ard_3-2-1_54HTE_2023-02-10_final.stac-item
2023-02-10 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2023-02-10_nrt.stac-item
2023-02-10 11:51:20	ga_s2bm_ard_3-2-1_50LQL_2023-02-10_nrt.stac-item
2023-02-10 11:51:25	ga_s2bm_ard_3-2-1_50LPL_2023-02-10_nrt.stac-item
2023-02-10 11:52:27	ga_s2bm_ard_3-2-1_50KNG_2023-02-10_nrt.stac-item
2023-02-10 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2023-02-10_final.stac-item
2023-02-11 09:41:19	ga_s2bm_ard_3-2-1_56KNG_2023-02-11_nrt.stac-item
2023-02-11 09:41:22	ga_s2bm_ard_3-2-1_56KMG_2023-02-11_final.stac-item
2023-02-11 11:21:08	ga_s2bm_ard_3-2-1_52LBL_2023-02-11_nrt.stac-item
2023-02-11 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2023-02-11_nrt.stac-item
2023-02-11 11:21:59	ga_s2bm_ard_3-2-1_52KDG_2023-02-11_final.stac-item
2023-02-11 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2023-02-11_final.stac-item
2023-02-11 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2023-02-11_final.stac-item
2023-02-11 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2023-02-11_final.stac-item
2023-02-13 10:27:10	ga_s2bm_ard_3-2-1_54HTE_2023-02-13_final.stac-item
2023-02-13 10:27:15	ga_s2bm_ard_3-2-1_53HNV_2023-02-13_nrt.stac-item
2023-02-13 12:01:14	ga_s2bm_ard_3-2-1_50LQL_2023-02-13_nrt.stac-item
2023-02-13 12:01:19	ga_s2bm_ard_3-2-1_50LPL_2023-02-13_nrt.stac-item
2023-02-14 09:57:05	ga_s2bm_ard_3-2-1_55HBV_2023-02-14_final.stac-item
2023-02-14 11:31:04	ga_s2bm_ard_3-2-1_51LZF_2023-02-14_nrt.stac-item
2023-02-14 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2023-02-14_final.stac-item
2023-02-14 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2023-02-14_final.stac-item
2023-02-14 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2023-02-14_final.stac-item
2023-02-14 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2023-02-14_final.stac-item
2023-02-16 10:30:45	ga_s2bm_ard_3-2-1_54LUL_2023-02-16_nrt.stac-item
2023-02-16 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2023-02-16_final.stac-item
2023-02-17 10:00:29	ga_s2bm_ard_3-2-1_55LFF_2023-02-17_nrt.stac-item
2023-02-17 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-02-17_final.stac-item
2023-02-17 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-02-17_final.stac-item
2023-02-18 09:31:24	ga_s2bm_ard_3-2-1_56KPG_2023-02-18_nrt.stac-item
2023-02-18 09:31:26	ga_s2bm_ard_3-2-1_56KNG_2023-02-18_nrt.stac-item
2023-02-18 11:12:09	ga_s2bm_ard_3-2-1_52KCG_2023-02-18_final.stac-item
2023-02-19 10:40:38	ga_s2bm_ard_3-2-1_54LUL_2023-02-19_nrt.stac-item
2023-02-19 10:40:49	ga_s2bm_ard_3-2-1_54LTL_2023-02-19_nrt.stac-item
2023-02-19 10:40:51	ga_s2bm_ard_3-2-1_53LQF_2023-02-19_final.stac-item
2023-02-19 10:40:53	ga_s2bm_ard_3-2-1_53LPF_2023-02-19_final.stac-item
2023-02-19 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2023-02-19_final.stac-item
2023-02-20 10:10:35	ga_s2bm_ard_3-2-1_55LCF_2023-02-20_nrt.stac-item
2023-02-20 10:11:33	ga_s2bm_ard_3-2-1_55KCB_2023-02-20_final.stac-item
2023-02-20 10:17:17	ga_s2bm_ard_3-2-1_54HTE_2023-02-20_final.stac-item
2023-02-20 11:51:11	ga_s2bm_ard_3-2-1_51LUF_2023-02-20_final.stac-item
2023-02-20 11:51:15	ga_s2bm_ard_3-2-1_50LQL_2023-02-20_nrt.stac-item
2023-02-20 11:52:28	ga_s2bm_ard_3-2-1_50KNG_2023-02-20_nrt.stac-item
2023-02-20 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2023-02-20_final.stac-item
2023-02-21 09:41:20	ga_s2bm_ard_3-2-1_56KNG_2023-02-21_nrt.stac-item
2023-02-21 09:41:23	ga_s2bm_ard_3-2-1_56KMG_2023-02-21_final.stac-item
2023-02-21 11:21:09	ga_s2bm_ard_3-2-1_52LBL_2023-02-21_nrt.stac-item
2023-02-21 11:21:10	ga_s2bm_ard_3-2-1_51LZF_2023-02-21_nrt.stac-item
2023-02-21 11:22:00	ga_s2bm_ard_3-2-1_52KDG_2023-02-21_final.stac-item
2023-02-21 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2023-02-21_final.stac-item
2023-02-21 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2023-02-21_final.stac-item
2023-02-21 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2023-02-21_final.stac-item
2023-02-23 10:21:58	ga_s2bm_ard_3-2-1_54KWF_2023-02-23_final.stac-item
2023-02-23 10:27:12	ga_s2bm_ard_3-2-1_54HTE_2023-02-23_final.stac-item
2023-02-23 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2023-02-23_final.stac-item
2023-02-23 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2023-02-23_nrt.stac-item
2023-02-23 12:01:16	ga_s2bm_ard_3-2-1_50LQL_2023-02-23_nrt.stac-item
2023-02-23 12:01:20	ga_s2bm_ard_3-2-1_50LPL_2023-02-23_nrt.stac-item
2023-02-24 09:57:07	ga_s2bm_ard_3-2-1_55HBV_2023-02-24_final.stac-item
2023-02-24 11:31:06	ga_s2bm_ard_3-2-1_51LZF_2023-02-24_nrt.stac-item
2023-02-24 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2023-02-24_final.stac-item
2023-02-24 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2023-02-24_final.stac-item
2023-02-24 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2023-02-24_final.stac-item
2023-02-24 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2023-02-24_final.stac-item
2023-02-26 10:30:48	ga_s2bm_ard_3-2-1_54LUL_2023-02-26_nrt.stac-item
2023-02-26 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2023-02-26_final.stac-item
2023-02-27 10:00:31	ga_s2bm_ard_3-2-1_55LFF_2023-02-27_nrt.stac-item
2023-02-27 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2023-02-27_final.stac-item
2023-02-27 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2023-02-27_final.stac-item
2023-02-28 09:31:27	ga_s2bm_ard_3-2-1_56KPG_2023-02-28_nrt.stac-item
2023-02-28 09:31:28	ga_s2bm_ard_3-2-1_56KNG_2023-02-28_nrt.stac-item

Return to ga_s2bm_ard_3 across February 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

February

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