Search ga_ls7e_ard_3 across January 2014

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
2014-01-07 10:05:34	ga_ls7e_ard_3-0-0_099067_2014-01-07_final
2014-01-07 10:05:58	ga_ls7e_ard_3-0-0_099068_2014-01-07_final
2014-01-07 10:06:22	ga_ls7e_ard_3-0-0_099069_2014-01-07_final
2014-01-07 10:06:46	ga_ls7e_ard_3-0-0_099070_2014-01-07_final
2014-01-07 10:07:10	ga_ls7e_ard_3-0-0_099071_2014-01-07_final
2014-01-07 10:07:34	ga_ls7e_ard_3-0-0_099072_2014-01-07_final
2014-01-07 10:07:58	ga_ls7e_ard_3-0-0_099073_2014-01-07_final
2014-01-07 10:08:22	ga_ls7e_ard_3-0-0_099074_2014-01-07_final
2014-01-07 10:08:46	ga_ls7e_ard_3-0-0_099075_2014-01-07_final
2014-01-07 10:09:10	ga_ls7e_ard_3-0-0_099076_2014-01-07_final
2014-01-07 10:09:34	ga_ls7e_ard_3-0-0_099077_2014-01-07_final
2014-01-07 10:09:57	ga_ls7e_ard_3-0-0_099078_2014-01-07_final
2014-01-07 10:10:21	ga_ls7e_ard_3-0-0_099079_2014-01-07_final
2014-01-07 10:10:45	ga_ls7e_ard_3-0-0_099080_2014-01-07_final
2014-01-07 10:11:09	ga_ls7e_ard_3-0-0_099081_2014-01-07_final
2014-01-07 10:11:33	ga_ls7e_ard_3-0-0_099082_2014-01-07_final
2014-01-07 10:11:57	ga_ls7e_ard_3-0-0_099083_2014-01-07_final
2014-01-08 09:14:44	ga_ls7e_ard_3-0-0_090079_2014-01-07_final
2014-01-08 09:15:08	ga_ls7e_ard_3-0-0_090080_2014-01-07_final
2014-01-08 09:15:32	ga_ls7e_ard_3-0-0_090081_2014-01-07_final
2014-01-08 09:15:56	ga_ls7e_ard_3-0-0_090082_2014-01-07_final
2014-01-08 09:16:20	ga_ls7e_ard_3-0-0_090083_2014-01-07_final
2014-01-08 09:16:44	ga_ls7e_ard_3-0-0_090084_2014-01-07_final
2014-01-08 09:17:08	ga_ls7e_ard_3-1-0_090085_2014-01-07_final
2014-01-08 09:17:32	ga_ls7e_ard_3-0-0_090086_2014-01-07_final
2014-01-08 09:18:43	ga_ls7e_ard_3-0-0_090089_2014-01-07_final
2014-01-08 09:19:07	ga_ls7e_ard_3-0-0_090090_2014-01-07_final
2014-01-08 10:49:14	ga_ls7e_ard_3-0-0_106068_2014-01-08_final
2014-01-08 10:49:38	ga_ls7e_ard_3-0-0_106069_2014-01-08_final
2014-01-08 10:50:02	ga_ls7e_ard_3-0-0_106070_2014-01-08_final
2014-01-08 10:50:25	ga_ls7e_ard_3-0-0_106071_2014-01-08_final
2014-01-08 10:50:49	ga_ls7e_ard_3-0-0_106072_2014-01-08_final
2014-01-08 10:51:13	ga_ls7e_ard_3-0-0_106073_2014-01-08_final
2014-01-08 10:51:37	ga_ls7e_ard_3-0-0_106074_2014-01-08_final
2014-01-08 10:52:01	ga_ls7e_ard_3-1-0_106075_2014-01-08_final
2014-01-08 10:52:25	ga_ls7e_ard_3-0-0_106076_2014-01-08_final
2014-01-19 10:34:54	ga_ls7e_ard_3-0-0_103078_2014-01-19_final
2014-01-19 10:35:18	ga_ls7e_ard_3-0-0_103079_2014-01-19_final
2014-01-19 10:35:41	ga_ls7e_ard_3-0-0_103080_2014-01-19_final
2014-01-19 10:36:05	ga_ls7e_ard_3-0-0_103081_2014-01-19_final
2014-01-19 10:36:29	ga_ls7e_ard_3-0-0_103082_2014-01-19_final
2014-01-20 09:37:18	ga_ls7e_ard_3-0-0_094073_2014-01-20_final
2014-01-20 09:37:42	ga_ls7e_ard_3-0-0_094074_2014-01-20_final
2014-01-20 09:38:06	ga_ls7e_ard_3-0-0_094075_2014-01-20_final
2014-01-20 09:38:30	ga_ls7e_ard_3-0-0_094076_2014-01-20_final
2014-01-20 09:38:53	ga_ls7e_ard_3-0-0_094077_2014-01-20_final
2014-01-20 09:39:17	ga_ls7e_ard_3-0-0_094078_2014-01-20_final
2014-01-20 09:39:41	ga_ls7e_ard_3-0-0_094079_2014-01-20_final
2014-01-20 09:40:05	ga_ls7e_ard_3-0-0_094080_2014-01-20_final
2014-01-20 09:40:29	ga_ls7e_ard_3-0-0_094081_2014-01-20_final
2014-01-20 09:40:53	ga_ls7e_ard_3-0-0_094082_2014-01-20_final
2014-01-20 09:41:17	ga_ls7e_ard_3-0-0_094083_2014-01-20_final
2014-01-20 09:41:41	ga_ls7e_ard_3-0-0_094084_2014-01-20_final
2014-01-20 09:42:05	ga_ls7e_ard_3-0-0_094085_2014-01-20_final
2014-01-20 09:42:29	ga_ls7e_ard_3-0-0_094086_2014-01-20_final
2014-01-20 11:14:59	ga_ls7e_ard_3-0-0_110070_2014-01-20_final
2014-01-20 11:15:23	ga_ls7e_ard_3-0-0_110071_2014-01-20_final
2014-01-20 11:18:11	ga_ls7e_ard_3-0-0_110078_2014-01-20_final
2014-01-20 11:18:35	ga_ls7e_ard_3-0-0_110079_2014-01-20_final
2014-01-20 11:18:58	ga_ls7e_ard_3-0-0_110080_2014-01-20_final
2014-01-20 11:19:22	ga_ls7e_ard_3-0-0_110081_2014-01-20_final
2014-01-20 11:19:46	ga_ls7e_ard_3-0-0_110082_2014-01-20_final
2014-01-20 11:20:10	ga_ls7e_ard_3-0-0_110083_2014-01-20_final
2014-01-20 11:20:34	ga_ls7e_ard_3-0-0_110084_2014-01-20_final
2014-01-21 10:21:23	ga_ls7e_ard_3-1-0_101075_2014-01-21_final
2014-01-21 10:22:34	ga_ls7e_ard_3-0-0_101078_2014-01-21_final
2014-01-21 10:23:46	ga_ls7e_ard_3-0-0_101081_2014-01-21_final
2014-01-21 10:24:10	ga_ls7e_ard_3-0-0_101082_2014-01-21_final
2014-01-21 10:24:34	ga_ls7e_ard_3-0-0_101083_2014-01-21_final
2014-01-22 09:25:46	ga_ls7e_ard_3-0-0_092075_2014-01-21_final
2014-01-22 09:26:10	ga_ls7e_ard_3-0-0_092076_2014-01-21_final
2014-01-22 09:26:34	ga_ls7e_ard_3-0-0_092077_2014-01-21_final
2014-01-22 09:26:58	ga_ls7e_ard_3-0-0_092078_2014-01-21_final
2014-01-22 09:27:22	ga_ls7e_ard_3-0-0_092079_2014-01-21_final
2014-01-22 09:27:46	ga_ls7e_ard_3-0-0_092080_2014-01-21_final
2014-01-22 09:28:10	ga_ls7e_ard_3-0-0_092081_2014-01-21_final
2014-01-22 09:28:34	ga_ls7e_ard_3-0-0_092082_2014-01-21_final
2014-01-22 09:28:58	ga_ls7e_ard_3-0-0_092083_2014-01-21_final
2014-01-22 09:29:22	ga_ls7e_ard_3-0-0_092084_2014-01-21_final
2014-01-22 09:29:46	ga_ls7e_ard_3-0-0_092085_2014-01-21_final
2014-01-22 09:30:10	ga_ls7e_ard_3-1-0_092086_2014-01-22_final
2014-01-22 09:30:34	ga_ls7e_ard_3-0-0_092087_2014-01-22_final
2014-01-22 09:30:58	ga_ls7e_ard_3-0-0_092088_2014-01-22_final
2014-01-22 09:31:22	ga_ls7e_ard_3-0-0_092089_2014-01-22_final
2014-01-22 11:02:40	ga_ls7e_ard_3-0-0_108070_2014-01-22_final
2014-01-22 11:03:04	ga_ls7e_ard_3-0-0_108071_2014-01-22_final
2014-01-22 11:03:28	ga_ls7e_ard_3-0-0_108072_2014-01-22_final
2014-01-22 11:06:15	ga_ls7e_ard_3-0-0_108079_2014-01-22_final
2014-01-22 11:07:51	ga_ls7e_ard_3-0-0_108083_2014-01-22_final
2014-01-22 11:08:15	ga_ls7e_ard_3-0-0_108084_2014-01-22_final
2014-01-23 10:06:40	ga_ls7e_ard_3-0-0_099069_2014-01-23_final
2014-01-23 10:07:04	ga_ls7e_ard_3-0-0_099070_2014-01-23_final
2014-01-23 10:07:27	ga_ls7e_ard_3-0-0_099071_2014-01-23_final
2014-01-23 10:07:51	ga_ls7e_ard_3-0-0_099072_2014-01-23_final
2014-01-23 10:08:15	ga_ls7e_ard_3-0-0_099073_2014-01-23_final
2014-01-23 10:08:39	ga_ls7e_ard_3-0-0_099074_2014-01-23_final
2014-01-23 10:09:03	ga_ls7e_ard_3-0-0_099075_2014-01-23_final
2014-01-23 10:09:27	ga_ls7e_ard_3-0-0_099076_2014-01-23_final
2014-01-23 10:09:51	ga_ls7e_ard_3-0-0_099077_2014-01-23_final
2014-01-23 10:10:15	ga_ls7e_ard_3-0-0_099078_2014-01-23_final

Return to ga_ls7e_ard_3 across January 2014 overview

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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2014

January

All days