Search ga_ls7e_ard_3 across December 2020

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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-12-01 08:44:03	ga_ls7e_ard_3-1-0_091076_2020-11-30_final
2020-12-01 08:44:26	ga_ls7e_ard_3-1-0_091077_2020-11-30_final
2020-12-01 08:44:50	ga_ls7e_ard_3-1-0_091078_2020-11-30_final
2020-12-01 08:45:14	ga_ls7e_ard_3-1-0_091079_2020-11-30_final
2020-12-01 08:45:38	ga_ls7e_ard_3-1-0_091080_2020-11-30_final
2020-12-01 08:46:02	ga_ls7e_ard_3-1-0_091081_2020-11-30_final
2020-12-01 08:46:26	ga_ls7e_ard_3-1-0_091082_2020-11-30_final
2020-12-01 08:46:50	ga_ls7e_ard_3-1-0_091083_2020-11-30_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-01 08:47:38	ga_ls7e_ard_3-1-0_091085_2020-11-30_final
2020-12-01 08:48:02	ga_ls7e_ard_3-1-0_091086_2020-11-30_final
2020-12-01 10:20:32	ga_ls7e_ard_3-1-0_107070_2020-12-01_final
2020-12-01 10:21:19	ga_ls7e_ard_3-1-0_107072_2020-12-01_final
2020-12-01 10:21:43	ga_ls7e_ard_3-1-0_107073_2020-12-01_final
2020-12-01 10:22:55	ga_ls7e_ard_3-1-0_107076_2020-12-01_final
2020-12-01 10:23:19	ga_ls7e_ard_3-1-0_107077_2020-12-01_final
2020-12-01 10:23:43	ga_ls7e_ard_3-1-0_107078_2020-12-01_final
2020-12-01 10:24:07	ga_ls7e_ard_3-1-0_107079_2020-12-01_final
2020-12-01 10:24:31	ga_ls7e_ard_3-1-0_107080_2020-12-01_final
2020-12-01 10:24:55	ga_ls7e_ard_3-1-0_107081_2020-12-01_final
2020-12-01 10:25:19	ga_ls7e_ard_3-1-0_107082_2020-12-01_final
2020-12-01 10:25:43	ga_ls7e_ard_3-1-0_107083_2020-12-01_final
2020-12-01 10:26:07	ga_ls7e_ard_3-1-0_107084_2020-12-01_final
2020-12-06 09:06:12	ga_ls7e_ard_3-1-0_094086_2020-12-05_final
2020-12-06 10:39:06	ga_ls7e_ard_3-1-0_110071_2020-12-06_final
2020-12-06 10:39:30	ga_ls7e_ard_3-1-0_110072_2020-12-06_final
2020-12-06 10:39:54	ga_ls7e_ard_3-1-0_110073_2020-12-06_final
2020-12-06 10:41:05	ga_ls7e_ard_3-1-0_110076_2020-12-06_final
2020-12-06 10:41:29	ga_ls7e_ard_3-1-0_110077_2020-12-06_final
2020-12-06 10:41:53	ga_ls7e_ard_3-1-0_110078_2020-12-06_final
2020-12-06 10:42:17	ga_ls7e_ard_3-1-0_110079_2020-12-06_final
2020-12-06 10:42:41	ga_ls7e_ard_3-1-0_110080_2020-12-06_final
2020-12-06 10:43:05	ga_ls7e_ard_3-1-0_110081_2020-12-06_final
2020-12-06 10:43:29	ga_ls7e_ard_3-1-0_110082_2020-12-06_final
2020-12-06 10:43:53	ga_ls7e_ard_3-1-0_110083_2020-12-06_final
2020-12-07 09:43:48	ga_ls7e_ard_3-1-0_101072_2020-12-07_final
2020-12-07 09:44:12	ga_ls7e_ard_3-1-0_101073_2020-12-07_final
2020-12-07 09:44:36	ga_ls7e_ard_3-1-0_101074_2020-12-07_final
2020-12-07 09:46:36	ga_ls7e_ard_3-1-0_101079_2020-12-07_final
2020-12-08 10:26:11	ga_ls7e_ard_3-1-0_108070_2020-12-08_final
2020-12-08 10:30:11	ga_ls7e_ard_3-1-0_108080_2020-12-08_final
2020-12-08 10:30:35	ga_ls7e_ard_3-1-0_108081_2020-12-08_final
2020-12-08 10:30:59	ga_ls7e_ard_3-1-0_108082_2020-12-08_final
2020-12-08 10:31:46	ga_ls7e_ard_3-1-0_108084_2020-12-08_final
2020-12-09 09:29:18	ga_ls7e_ard_3-1-0_099067_2020-12-08_final
2020-12-09 09:29:42	ga_ls7e_ard_3-1-0_099068_2020-12-08_final
2020-12-09 09:31:17	ga_ls7e_ard_3-1-0_099072_2020-12-09_final
2020-12-09 09:31:41	ga_ls7e_ard_3-1-0_099073_2020-12-09_final
2020-12-09 09:32:53	ga_ls7e_ard_3-1-0_099076_2020-12-09_final
2020-12-09 09:33:17	ga_ls7e_ard_3-1-0_099077_2020-12-09_final
2020-12-09 09:33:41	ga_ls7e_ard_3-1-0_099078_2020-12-09_final
2020-12-09 09:34:05	ga_ls7e_ard_3-1-0_099079_2020-12-09_final
2020-12-09 11:10:58	ga_ls7e_ard_3-1-0_115074_2020-12-09_final
2020-12-09 11:11:22	ga_ls7e_ard_3-1-0_115075_2020-12-09_final
2020-12-09 11:11:46	ga_ls7e_ard_3-1-0_115076_2020-12-09_final
2020-12-09 11:12:10	ga_ls7e_ard_3-1-0_115077_2020-12-09_final
2020-12-09 11:12:34	ga_ls7e_ard_3-1-0_115078_2020-12-09_final
2020-12-09 11:12:58	ga_ls7e_ard_3-1-0_115079_2020-12-09_final
2020-12-10 08:37:36	ga_ls7e_ard_3-1-0_090077_2020-12-09_final
2020-12-10 08:37:59	ga_ls7e_ard_3-1-0_090078_2020-12-09_final
2020-12-10 08:38:23	ga_ls7e_ard_3-1-0_090079_2020-12-09_final
2020-12-10 08:38:47	ga_ls7e_ard_3-1-0_090080_2020-12-09_final
2020-12-10 08:39:11	ga_ls7e_ard_3-1-0_090081_2020-12-09_final
2020-12-10 08:39:35	ga_ls7e_ard_3-1-0_090082_2020-12-09_final
2020-12-10 08:39:59	ga_ls7e_ard_3-1-0_090083_2020-12-09_final
2020-12-10 08:40:23	ga_ls7e_ard_3-1-0_090084_2020-12-09_final
2020-12-10 08:40:47	ga_ls7e_ard_3-1-0_090085_2020-12-09_final
2020-12-10 08:41:59	ga_ls7e_ard_3-1-0_090088_2020-12-09_final
2020-12-10 08:42:23	ga_ls7e_ard_3-1-0_090089_2020-12-09_final
2020-12-10 08:42:47	ga_ls7e_ard_3-1-0_090090_2020-12-09_final
2020-12-10 10:12:53	ga_ls7e_ard_3-1-0_106068_2020-12-10_final
2020-12-10 10:13:17	ga_ls7e_ard_3-1-0_106069_2020-12-10_final
2020-12-10 10:13:41	ga_ls7e_ard_3-1-0_106070_2020-12-10_final
2020-12-10 10:14:05	ga_ls7e_ard_3-1-0_106071_2020-12-10_final
2020-12-10 10:14:29	ga_ls7e_ard_3-1-0_106072_2020-12-10_final
2020-12-10 10:18:28	ga_ls7e_ard_3-1-0_106082_2020-12-10_final
2020-12-11 09:17:59	ga_ls7e_ard_3-1-0_097070_2020-12-10_final
2020-12-11 09:18:47	ga_ls7e_ard_3-1-0_097072_2020-12-10_final
2020-12-11 09:19:11	ga_ls7e_ard_3-1-0_097073_2020-12-10_final
2020-12-11 09:20:47	ga_ls7e_ard_3-1-0_097077_2020-12-10_final
2020-12-11 09:21:11	ga_ls7e_ard_3-1-0_097078_2020-12-10_final
2020-12-11 09:21:34	ga_ls7e_ard_3-1-0_097079_2020-12-10_final
2020-12-11 09:21:58	ga_ls7e_ard_3-1-0_097080_2020-12-10_final
2020-12-11 09:22:22	ga_ls7e_ard_3-1-0_097081_2020-12-10_final
2020-12-11 09:22:46	ga_ls7e_ard_3-1-0_097082_2020-12-10_final
2020-12-11 09:23:10	ga_ls7e_ard_3-1-0_097083_2020-12-10_final
2020-12-11 09:23:34	ga_ls7e_ard_3-1-0_097084_2020-12-10_final
2020-12-11 09:23:58	ga_ls7e_ard_3-1-0_097085_2020-12-10_final
2020-12-11 10:55:40	ga_ls7e_ard_3-1-0_113067_2020-12-11_final
2020-12-11 10:59:39	ga_ls7e_ard_3-1-0_113077_2020-12-11_final
2020-12-11 11:00:03	ga_ls7e_ard_3-1-0_113078_2020-12-11_final
2020-12-11 11:00:27	ga_ls7e_ard_3-1-0_113079_2020-12-11_final
2020-12-11 11:00:51	ga_ls7e_ard_3-1-0_113080_2020-12-11_final
2020-12-11 11:01:15	ga_ls7e_ard_3-1-0_113081_2020-12-11_final
2020-12-11 11:01:39	ga_ls7e_ard_3-1-0_113082_2020-12-11_final
2020-12-11 11:02:03	ga_ls7e_ard_3-1-0_113083_2020-12-11_final
2020-12-11 11:02:27	ga_ls7e_ard_3-1-0_113084_2020-12-11_final
2020-12-12 10:00:22	ga_ls7e_ard_3-1-0_104068_2020-12-12_final
2020-12-12 10:00:46	ga_ls7e_ard_3-1-0_104069_2020-12-12_final
2020-12-12 10:01:10	ga_ls7e_ard_3-1-0_104070_2020-12-12_final

Return to ga_ls7e_ard_3 across December 2020 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2020

December

All days