Search ga_ls7e_ard_3 across February 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
2014-02-01 09:59:49	ga_ls7e_ard_3-0-0_098067_2014-02-01_final
2014-02-01 10:00:13	ga_ls7e_ard_3-0-0_098068_2014-02-01_final
2014-02-01 10:00:37	ga_ls7e_ard_3-0-0_098069_2014-02-01_final
2014-02-01 10:01:01	ga_ls7e_ard_3-0-0_098070_2014-02-01_final
2014-02-01 10:01:25	ga_ls7e_ard_3-0-0_098071_2014-02-01_final
2014-02-01 10:01:49	ga_ls7e_ard_3-0-0_098072_2014-02-01_final
2014-02-01 10:02:13	ga_ls7e_ard_3-0-0_098073_2014-02-01_final
2014-02-01 10:02:37	ga_ls7e_ard_3-0-0_098074_2014-02-01_final
2014-02-01 10:03:01	ga_ls7e_ard_3-0-0_098075_2014-02-01_final
2014-02-01 10:03:24	ga_ls7e_ard_3-0-0_098076_2014-02-01_final
2014-02-01 10:03:48	ga_ls7e_ard_3-0-0_098077_2014-02-01_final
2014-02-03 11:29:09	ga_ls7e_ard_3-0-0_112074_2014-02-03_final
2014-02-03 11:29:33	ga_ls7e_ard_3-0-0_112075_2014-02-03_final
2014-02-03 11:29:57	ga_ls7e_ard_3-0-0_112076_2014-02-03_final
2014-02-03 11:30:21	ga_ls7e_ard_3-0-0_112077_2014-02-03_final
2014-02-03 11:30:45	ga_ls7e_ard_3-0-0_112078_2014-02-03_final
2014-02-03 11:31:09	ga_ls7e_ard_3-0-0_112079_2014-02-03_final
2014-02-03 11:31:33	ga_ls7e_ard_3-0-0_112080_2014-02-03_final
2014-02-03 11:31:57	ga_ls7e_ard_3-0-0_112081_2014-02-03_final
2014-02-03 11:32:21	ga_ls7e_ard_3-0-0_112082_2014-02-03_final
2014-02-03 11:32:45	ga_ls7e_ard_3-0-0_112083_2014-02-03_final
2014-02-03 11:33:09	ga_ls7e_ard_3-0-0_112084_2014-02-03_final
2014-02-04 10:31:33	ga_ls7e_ard_3-0-0_103069_2014-02-04_final
2014-02-04 10:35:32	ga_ls7e_ard_3-0-0_103079_2014-02-04_final
2014-02-04 10:35:56	ga_ls7e_ard_3-0-0_103080_2014-02-04_final
2014-02-04 10:36:20	ga_ls7e_ard_3-0-0_103081_2014-02-04_final
2014-02-04 10:36:44	ga_ls7e_ard_3-0-0_103082_2014-02-04_final
2014-02-06 10:19:59	ga_ls7e_ard_3-0-0_101071_2014-02-06_final
2014-02-06 10:21:11	ga_ls7e_ard_3-0-0_101074_2014-02-06_final
2014-02-06 10:21:35	ga_ls7e_ard_3-1-0_101075_2014-02-06_final
2014-02-06 10:21:58	ga_ls7e_ard_3-0-0_101076_2014-02-06_final
2014-02-06 10:22:22	ga_ls7e_ard_3-0-0_101077_2014-02-06_final
2014-02-06 10:22:46	ga_ls7e_ard_3-0-0_101078_2014-02-06_final
2014-02-06 10:23:10	ga_ls7e_ard_3-0-0_101079_2014-02-06_final
2014-02-06 10:23:34	ga_ls7e_ard_3-0-0_101080_2014-02-06_final
2014-02-06 10:23:58	ga_ls7e_ard_3-0-0_101081_2014-02-06_final
2014-02-06 10:24:22	ga_ls7e_ard_3-0-0_101082_2014-02-06_final
2014-02-06 10:24:46	ga_ls7e_ard_3-0-0_101083_2014-02-06_final
2014-02-07 09:25:57	ga_ls7e_ard_3-0-0_092075_2014-02-06_final
2014-02-07 09:26:21	ga_ls7e_ard_3-0-0_092076_2014-02-06_final
2014-02-07 09:26:45	ga_ls7e_ard_3-0-0_092077_2014-02-06_final
2014-02-07 09:27:08	ga_ls7e_ard_3-0-0_092078_2014-02-06_final
2014-02-07 09:27:32	ga_ls7e_ard_3-0-0_092079_2014-02-06_final
2014-02-07 09:27:56	ga_ls7e_ard_3-0-0_092080_2014-02-06_final
2014-02-07 09:28:20	ga_ls7e_ard_3-0-0_092081_2014-02-06_final
2014-02-07 09:28:44	ga_ls7e_ard_3-0-0_092082_2014-02-06_final
2014-02-07 09:29:08	ga_ls7e_ard_3-0-0_092083_2014-02-06_final
2014-02-07 09:29:32	ga_ls7e_ard_3-0-0_092084_2014-02-06_final
2014-02-07 09:29:56	ga_ls7e_ard_3-1-0_092085_2014-02-06_final
2014-02-07 09:30:20	ga_ls7e_ard_3-0-0_092086_2014-02-07_final
2014-02-07 09:30:44	ga_ls7e_ard_3-0-0_092087_2014-02-07_final
2014-02-07 09:31:08	ga_ls7e_ard_3-0-0_092088_2014-02-07_final
2014-02-07 09:31:32	ga_ls7e_ard_3-0-0_092089_2014-02-07_final
2014-02-07 11:02:50	ga_ls7e_ard_3-0-0_108070_2014-02-07_final
2014-02-07 11:04:02	ga_ls7e_ard_3-0-0_108073_2014-02-07_final
2014-02-07 11:04:26	ga_ls7e_ard_3-0-0_108074_2014-02-07_final
2014-02-07 11:04:50	ga_ls7e_ard_3-0-0_108075_2014-02-07_final
2014-02-07 11:05:14	ga_ls7e_ard_3-0-0_108076_2014-02-07_final
2014-02-07 11:05:38	ga_ls7e_ard_3-0-0_108077_2014-02-07_final
2014-02-07 11:06:01	ga_ls7e_ard_3-0-0_108078_2014-02-07_final
2014-02-07 11:06:25	ga_ls7e_ard_3-0-0_108079_2014-02-07_final
2014-02-07 11:06:49	ga_ls7e_ard_3-0-0_108080_2014-02-07_final
2014-02-07 11:07:13	ga_ls7e_ard_3-0-0_108081_2014-02-07_final
2014-02-07 11:07:37	ga_ls7e_ard_3-0-0_108082_2014-02-07_final
2014-02-07 11:08:01	ga_ls7e_ard_3-0-0_108083_2014-02-07_final
2014-02-11 10:37:16	ga_ls7e_ard_3-0-0_104068_2014-02-11_final
2014-02-11 10:40:03	ga_ls7e_ard_3-0-0_104075_2014-02-11_final
2014-02-11 10:40:27	ga_ls7e_ard_3-0-0_104076_2014-02-11_final
2014-02-11 10:40:51	ga_ls7e_ard_3-0-0_104077_2014-02-11_final
2014-02-11 10:41:15	ga_ls7e_ard_3-0-0_104078_2014-02-11_final
2014-02-11 10:41:39	ga_ls7e_ard_3-0-0_104079_2014-02-11_final
2014-02-11 10:42:03	ga_ls7e_ard_3-0-0_104080_2014-02-11_final
2014-02-11 10:42:51	ga_ls7e_ard_3-0-0_104082_2014-02-11_final
2014-02-13 10:24:52	ga_ls7e_ard_3-0-0_102068_2014-02-13_final
2014-02-13 10:25:16	ga_ls7e_ard_3-0-0_102069_2014-02-13_final
2014-02-13 10:25:40	ga_ls7e_ard_3-0-0_102070_2014-02-13_final
2014-02-13 10:26:04	ga_ls7e_ard_3-0-0_102071_2014-02-13_final
2014-02-13 10:26:28	ga_ls7e_ard_3-0-0_102072_2014-02-13_final
2014-02-13 10:26:52	ga_ls7e_ard_3-0-0_102073_2014-02-13_final
2014-02-13 10:27:16	ga_ls7e_ard_3-0-0_102074_2014-02-13_final
2014-02-13 10:27:40	ga_ls7e_ard_3-0-0_102075_2014-02-13_final
2014-02-13 10:28:04	ga_ls7e_ard_3-0-0_102076_2014-02-13_final
2014-02-13 10:28:28	ga_ls7e_ard_3-0-0_102077_2014-02-13_final
2014-02-13 10:28:52	ga_ls7e_ard_3-0-0_102078_2014-02-13_final
2014-02-13 10:29:16	ga_ls7e_ard_3-0-0_102079_2014-02-13_final
2014-02-13 10:29:39	ga_ls7e_ard_3-0-0_102080_2014-02-13_final
2014-02-13 10:30:03	ga_ls7e_ard_3-0-0_102081_2014-02-13_final
2014-02-13 10:30:27	ga_ls7e_ard_3-0-0_102082_2014-02-13_final
2014-02-14 09:28:50	ga_ls7e_ard_3-0-0_093067_2014-02-13_final
2014-02-14 09:31:37	ga_ls7e_ard_3-0-0_093074_2014-02-14_final
2014-02-14 09:32:01	ga_ls7e_ard_3-0-0_093075_2014-02-14_final
2014-02-14 09:32:25	ga_ls7e_ard_3-0-0_093076_2014-02-14_final
2014-02-14 09:32:49	ga_ls7e_ard_3-0-0_093077_2014-02-14_final
2014-02-14 09:33:13	ga_ls7e_ard_3-0-0_093078_2014-02-14_final
2014-02-14 09:33:37	ga_ls7e_ard_3-0-0_093079_2014-02-14_final
2014-02-14 09:34:01	ga_ls7e_ard_3-0-0_093080_2014-02-14_final
2014-02-14 11:08:55	ga_ls7e_ard_3-0-0_109070_2014-02-14_final
2014-02-14 11:09:19	ga_ls7e_ard_3-0-0_109071_2014-02-14_final
2014-02-14 11:09:43	ga_ls7e_ard_3-0-0_109072_2014-02-14_final
2014-02-14 11:10:06	ga_ls7e_ard_3-0-0_109073_2014-02-14_final

Return to ga_ls7e_ard_3 across February 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

February

All days