Search ga_s2am_ard_3 across December 2019

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
2019-12-01 09:34:03	ga_s2am_ard_3-2-1_56JNR_2019-12-01_final.stac-item
2019-12-01 09:35:20	ga_s2am_ard_3-2-1_56JML_2019-12-01_final
2019-12-01 11:14:45	ga_s2am_ard_3-2-1_52JDR_2019-12-01_final
2019-12-01 11:16:25	ga_s2am_ard_3-2-1_51HXE_2019-12-01_final
2019-12-02 10:44:55	ga_s2am_ard_3-2-1_53JLK_2019-12-02_final
2019-12-03 10:16:32	ga_s2am_ard_3-2-1_54HTH_2019-12-03_final
2019-12-04 09:44:23	ga_s2am_ard_3-2-1_56JKQ_2019-12-04_final
2019-12-04 09:45:31	ga_s2am_ard_3-2-1_55JEF_2019-12-04_final
2019-12-04 09:45:35	ga_s2am_ard_3-2-1_55JDF_2019-12-04_final
2019-12-04 11:25:08	ga_s2am_ard_3-2-1_51JXK_2019-12-04_final
2019-12-04 11:26:20	ga_s2am_ard_3-2-1_51HXE_2019-12-04_final
2019-12-04 11:26:46	ga_s2am_ard_3-2-1_51HXC_2019-12-04_final.stac-item
2019-12-05 10:54:50	ga_s2am_ard_3-2-1_53JLK_2019-12-05_final
2019-12-06 10:25:55	ga_s2am_ard_3-2-1_54HUK_2019-12-06_final
2019-12-06 10:26:05	ga_s2am_ard_3-2-1_53HPE_2019-12-06_final
2019-12-06 10:26:28	ga_s2am_ard_3-2-1_54HTH_2019-12-06_final
2019-12-06 10:26:30	ga_s2am_ard_3-2-1_53HQC_2019-12-06_final
2019-12-06 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2019-12-06_final
2019-12-07 09:54:17	ga_s2am_ard_3-2-1_55JDL_2019-12-07_final
2019-12-07 09:54:35	ga_s2am_ard_3-2-1_55JCK_2019-12-07_final
2019-12-07 09:55:30	ga_s2am_ard_3-2-1_55JDF_2019-12-07_final
2019-12-07 09:55:48	ga_s2am_ard_3-2-1_55HCE_2019-12-07_final
2019-12-07 11:36:26	ga_s2am_ard_3-2-1_51HUE_2019-12-07_final
2019-12-07 11:36:58	ga_s2am_ard_3-2-1_51HTC_2019-12-07_final
2019-12-07 11:37:00	ga_s2am_ard_3-2-1_50HQH_2019-12-07_final
2019-12-08 09:24:06	ga_s2am_ard_3-2-1_56JNR_2019-12-07_final.stac-item
2019-12-08 09:25:22	ga_s2am_ard_3-2-1_56JML_2019-12-07_final
2019-12-08 11:04:47	ga_s2am_ard_3-2-1_52JDR_2019-12-08_final
2019-12-09 10:34:47	ga_s2am_ard_3-2-1_53JPK_2019-12-09_final
2019-12-10 10:04:10	ga_s2am_ard_3-2-1_55JDL_2019-12-10_final
2019-12-10 10:05:36	ga_s2am_ard_3-2-1_55HCE_2019-12-10_final
2019-12-10 11:45:11	ga_s2am_ard_3-2-1_51JTK_2019-12-10_final
2019-12-10 11:46:50	ga_s2am_ard_3-2-1_50HQH_2019-12-10_final
2019-12-11 09:34:01	ga_s2am_ard_3-2-1_56JNR_2019-12-11_final.stac-item
2019-12-11 09:35:17	ga_s2am_ard_3-2-1_56JML_2019-12-11_final
2019-12-11 11:14:42	ga_s2am_ard_3-2-1_52JDR_2019-12-11_final
2019-12-11 11:16:22	ga_s2am_ard_3-2-1_51HXE_2019-12-11_final
2019-12-12 10:44:52	ga_s2am_ard_3-2-1_53JLK_2019-12-12_final
2019-12-13 10:16:30	ga_s2am_ard_3-2-1_54HTH_2019-12-13_final
2019-12-14 09:44:20	ga_s2am_ard_3-2-1_56JKQ_2019-12-14_final
2019-12-14 09:45:33	ga_s2am_ard_3-2-1_55JDF_2019-12-14_final
2019-12-14 11:25:05	ga_s2am_ard_3-2-1_51JXK_2019-12-14_final
2019-12-14 11:26:17	ga_s2am_ard_3-2-1_51HXE_2019-12-14_final
2019-12-15 10:54:47	ga_s2am_ard_3-2-1_53JLK_2019-12-15_final
2019-12-16 10:25:52	ga_s2am_ard_3-2-1_54HUK_2019-12-16_final
2019-12-16 10:26:02	ga_s2am_ard_3-2-1_53HPE_2019-12-16_final
2019-12-16 10:26:27	ga_s2am_ard_3-2-1_53HQC_2019-12-16_final
2019-12-16 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2019-12-16_final
2019-12-17 09:54:14	ga_s2am_ard_3-2-1_55JDL_2019-12-17_final
2019-12-17 09:54:32	ga_s2am_ard_3-2-1_55JCK_2019-12-17_final
2019-12-17 09:55:27	ga_s2am_ard_3-2-1_55JDF_2019-12-17_final
2019-12-17 09:55:45	ga_s2am_ard_3-2-1_55HCE_2019-12-17_final
2019-12-17 11:36:55	ga_s2am_ard_3-2-1_51HTC_2019-12-17_final
2019-12-17 11:36:57	ga_s2am_ard_3-2-1_50HQH_2019-12-17_final
2019-12-18 09:24:03	ga_s2am_ard_3-2-1_56JNR_2019-12-17_final.stac-item
2019-12-18 09:25:19	ga_s2am_ard_3-2-1_56JML_2019-12-17_final
2019-12-18 11:04:44	ga_s2am_ard_3-2-1_52JDR_2019-12-18_final
2019-12-18 11:05:02	ga_s2am_ard_3-2-1_52JCQ_2019-12-18_final
2019-12-19 10:34:44	ga_s2am_ard_3-2-1_53JPK_2019-12-19_final
2019-12-20 10:04:08	ga_s2am_ard_3-2-1_55JDL_2019-12-20_final
2019-12-20 11:46:47	ga_s2am_ard_3-2-1_50HQH_2019-12-20_final
2019-12-21 09:33:59	ga_s2am_ard_3-2-1_56JNR_2019-12-21_final.stac-item
2019-12-21 09:35:15	ga_s2am_ard_3-2-1_56JML_2019-12-21_final
2019-12-21 11:14:40	ga_s2am_ard_3-2-1_52JDR_2019-12-21_final
2019-12-21 11:14:58	ga_s2am_ard_3-2-1_52JCQ_2019-12-21_final
2019-12-21 11:16:10	ga_s2am_ard_3-2-1_52HCK_2019-12-21_final.stac-item
2019-12-21 11:16:20	ga_s2am_ard_3-2-1_51HXE_2019-12-21_final
2019-12-22 10:44:51	ga_s2am_ard_3-2-1_53JLK_2019-12-22_final
2019-12-24 09:44:19	ga_s2am_ard_3-2-1_56JKQ_2019-12-24_final
2019-12-24 09:45:31	ga_s2am_ard_3-2-1_55JDF_2019-12-24_final
2019-12-24 11:25:04	ga_s2am_ard_3-2-1_51JXK_2019-12-24_final
2019-12-24 11:26:16	ga_s2am_ard_3-2-1_51HXE_2019-12-24_final
2019-12-24 11:27:02	ga_s2am_ard_3-2-1_51HTC_2019-12-24_final
2019-12-25 10:54:46	ga_s2am_ard_3-2-1_53JLK_2019-12-25_final
2019-12-26 10:24:40	ga_s2am_ard_3-2-1_54JUQ_2019-12-26_final
2019-12-26 10:25:52	ga_s2am_ard_3-2-1_54HUK_2019-12-26_final
2019-12-26 10:26:01	ga_s2am_ard_3-2-1_53HPE_2019-12-26_final
2019-12-26 10:26:27	ga_s2am_ard_3-2-1_53HQC_2019-12-26_final
2019-12-27 09:54:14	ga_s2am_ard_3-2-1_55JDL_2019-12-27_final
2019-12-27 09:54:32	ga_s2am_ard_3-2-1_55JCK_2019-12-27_final
2019-12-27 09:55:27	ga_s2am_ard_3-2-1_55JDF_2019-12-27_final
2019-12-27 09:55:45	ga_s2am_ard_3-2-1_55HCE_2019-12-27_final
2019-12-27 11:36:23	ga_s2am_ard_3-2-1_51HUE_2019-12-27_final
2019-12-27 11:36:55	ga_s2am_ard_3-2-1_51HTC_2019-12-27_final
2019-12-27 11:36:57	ga_s2am_ard_3-2-1_50HQH_2019-12-27_final
2019-12-27 11:37:02	ga_s2am_ard_3-2-1_51HTC_2019-12-27_final
2019-12-27 11:37:03	ga_s2am_ard_3-2-1_50HQH_2019-12-27_final
2019-12-28 09:24:04	ga_s2am_ard_3-2-1_56JNR_2019-12-27_final.stac-item
2019-12-28 09:25:20	ga_s2am_ard_3-2-1_56JML_2019-12-27_final
2019-12-28 11:05:03	ga_s2am_ard_3-2-1_52JCQ_2019-12-28_final
2019-12-28 11:06:15	ga_s2am_ard_3-2-1_52HCK_2019-12-28_final.stac-item
2019-12-29 10:34:45	ga_s2am_ard_3-2-1_53JPK_2019-12-29_final
2019-12-30 10:04:08	ga_s2am_ard_3-2-1_55JDL_2019-12-30_final
2019-12-30 10:05:34	ga_s2am_ard_3-2-1_55HCE_2019-12-30_final
2019-12-30 11:45:09	ga_s2am_ard_3-2-1_51JTK_2019-12-30_final
2019-12-30 11:46:48	ga_s2am_ard_3-2-1_50HQH_2019-12-30_final
2019-12-31 09:33:59	ga_s2am_ard_3-2-1_56JNR_2019-12-31_final.stac-item
2019-12-31 09:35:16	ga_s2am_ard_3-2-1_56JML_2019-12-31_final
2019-12-31 11:14:59	ga_s2am_ard_3-2-1_52JCQ_2019-12-31_final
2019-12-31 11:16:11	ga_s2am_ard_3-2-1_52HCK_2019-12-31_final.stac-item

Return to ga_s2am_ard_3 across December 2019 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2019

December

All days