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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
2020-03-27 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-27_final
2020-11-01 10:43:11	ga_s2bm_ard_3-2-1_53KNS_2020-11-01_final
2020-11-01 10:43:58	ga_s2bm_ard_3-2-1_53KMP_2020-11-01_final
2020-11-02 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-11-02_final
2020-11-07 11:06:39	ga_s2bm_ard_3-2-1_51HYD_2020-11-07_final
2020-11-09 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-11-09_final
2020-11-12 10:16:53	ga_s2bm_ard_3-2-1_53HQB_2020-11-12_final
2020-11-12 11:52:55	ga_s2bm_ard_3-2-1_51KTU_2020-11-12_final
2020-11-18 10:36:25	ga_s2bm_ard_3-2-1_53HMD_2020-11-18_final
2020-11-27 11:01:23	ga_s2bm_ard_3-2-1_53LLD_2020-11-27_final
2020-11-30 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2020-11-30_final
2020-12-02 10:17:10	ga_s2bm_ard_3-2-1_54HVE_2020-12-02_final
2020-12-02 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2020-12-02_final
2020-12-02 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2020-12-02_final
2020-12-02 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2020-12-02_final
2020-12-03 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2020-12-03_final
2020-12-03 11:25:59	ga_s2bm_ard_3-2-1_51JVG_2020-12-03_final
2020-12-03 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2020-12-03_final
2020-12-04 10:50:55	ga_s2bm_ard_3-2-1_53LMF_2020-12-04_final
2020-12-04 10:51:12	ga_s2bm_ard_3-2-1_53LLE_2020-12-04_final
2020-12-06 09:56:44	ga_s2bm_ard_3-2-1_54HXG_2020-12-06_final
2020-12-06 09:56:56	ga_s2bm_ard_3-2-1_54HYE_2020-12-06_final
2020-12-06 09:56:59	ga_s2bm_ard_3-2-1_54HXF_2020-12-06_final
2020-12-06 09:57:06	ga_s2bm_ard_3-2-1_54HYE_2020-12-06_final
2020-12-06 09:57:44	ga_s2bm_ard_3-2-1_54HWC_2020-12-06_final
2020-12-06 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2020-12-06_final
2020-12-06 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2020-12-06_final
2020-12-06 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2020-12-06_final
2020-12-06 11:36:35	ga_s2bm_ard_3-2-1_51HTE_2020-12-06_final
2020-12-07 11:00:57	ga_s2bm_ard_3-2-1_53LME_2020-12-07_final
2020-12-07 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2020-12-07_final
2020-12-07 11:01:22	ga_s2bm_ard_3-2-1_53LLD_2020-12-07_final
2020-12-09 10:06:51	ga_s2bm_ard_3-2-1_54HXF_2020-12-09_final
2020-12-09 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2020-12-09_final
2020-12-09 10:07:38	ga_s2bm_ard_3-2-1_54HWC_2020-12-09_final
2020-12-09 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2020-12-09_final
2020-12-09 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-12-09_final
2020-12-09 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2020-12-09_final
2020-12-09 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-12-09_final
2020-12-09 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-09_final
2020-12-10 11:11:10	ga_s2bm_ard_3-2-1_52LGK_2020-12-10_final
2020-12-10 11:11:25	ga_s2bm_ard_3-2-1_52LDJ_2020-12-10_final
2020-12-10 11:11:34	ga_s2bm_ard_3-2-1_52LDJ_2020-12-10_final
2020-12-10 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2020-12-10_final
2020-12-10 11:16:09	ga_s2bm_ard_3-2-1_51JXF_2020-12-10_final
2020-12-11 10:45:48	ga_s2bm_ard_3-2-1_53JLF_2020-12-11_final
2020-12-12 10:17:23	ga_s2bm_ard_3-2-1_54HVD_2020-12-12_final
2020-12-13 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2020-12-13_final
2020-12-13 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2020-12-13_final
2020-12-13 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2020-12-13_final
2020-12-13 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2020-12-13_final
2020-12-16 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2020-12-16_final
2020-12-16 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2020-12-16_final
2020-12-16 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2020-12-16_final
2020-12-16 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2020-12-16_final
2020-12-16 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2020-12-16_final
2020-12-17 11:00:26	ga_s2bm_ard_3-2-1_52LHN_2020-12-17_final
2020-12-17 11:00:54	ga_s2bm_ard_3-2-1_53LME_2020-12-17_final
2020-12-17 11:01:19	ga_s2bm_ard_3-2-1_53LLD_2020-12-17_final
2020-12-18 10:35:04	ga_s2bm_ard_3-2-1_53JNJ_2020-12-18_final
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final
2020-12-19 10:06:49	ga_s2bm_ard_3-2-1_54HXF_2020-12-19_final
2020-12-19 10:07:11	ga_s2bm_ard_3-2-1_54HVE_2020-12-19_final
2020-12-19 10:07:36	ga_s2bm_ard_3-2-1_54HWC_2020-12-19_final
2020-12-19 11:42:27	ga_s2bm_ard_3-2-1_51KUA_2020-12-19_final
2020-12-19 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-12-19_final
2020-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2020-12-19_final
2020-12-19 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2020-12-19_final
2020-12-19 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2020-12-19_final
2020-12-20 11:11:33	ga_s2bm_ard_3-2-1_52LDJ_2020-12-20_final
2020-12-20 11:14:49	ga_s2bm_ard_3-2-1_52JBR_2020-12-20_final
2020-12-20 11:16:08	ga_s2bm_ard_3-2-1_51JXF_2020-12-20_final
2020-12-21 10:44:35	ga_s2bm_ard_3-2-1_53JML_2020-12-21_final
2020-12-22 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2020-12-22_final
2020-12-22 10:17:22	ga_s2bm_ard_3-2-1_54HVD_2020-12-22_final
2020-12-23 11:21:22	ga_s2bm_ard_3-2-1_51LZE_2020-12-23_final
2020-12-24 10:50:53	ga_s2bm_ard_3-2-1_53LMF_2020-12-24_final
2020-12-26 09:56:43	ga_s2bm_ard_3-2-1_54HXG_2020-12-26_final
2020-12-26 09:57:08	ga_s2bm_ard_3-2-1_54HYE_2020-12-26_final
2020-12-26 09:57:43	ga_s2bm_ard_3-2-1_54HWC_2020-12-26_final
2020-12-26 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2020-12-26_final
2020-12-26 11:31:26	ga_s2bm_ard_3-2-1_51LZE_2020-12-26_final
2020-12-26 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2020-12-26_final
2020-12-26 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2020-12-26_final
2020-12-26 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2020-12-26_final
2020-12-27 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2020-12-27_final
2020-12-27 11:00:56	ga_s2bm_ard_3-2-1_53LME_2020-12-27_final
2020-12-27 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2020-12-27_final
2020-12-29 10:06:51	ga_s2bm_ard_3-2-1_54HXF_2020-12-29_final
2020-12-29 10:07:01	ga_s2bm_ard_3-2-1_54HYE_2020-12-29_final
2020-12-29 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2020-12-29_final
2020-12-29 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2020-12-29_final
2020-12-29 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-12-29_final
2020-12-29 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-12-29_final
2020-12-29 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-12-29_final
2020-12-29 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2020-12-29_final
2020-12-29 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-29_final
2020-12-29 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2020-12-29_final
2020-12-30 11:11:24	ga_s2bm_ard_3-2-1_52LGJ_2020-12-30_final
2020-12-30 11:11:30	ga_s2bm_ard_3-2-1_52LDJ_2020-12-30_final

Return to ga_s2bm_ard_3 whole collection 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

All years