Search ga_ls7e_ard_3 across October 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
2014-10-04 10:20:59	ga_ls7e_ard_3-0-0_101071_2014-10-04_final
2014-10-04 10:21:23	ga_ls7e_ard_3-0-0_101072_2014-10-04_final
2014-10-04 10:21:47	ga_ls7e_ard_3-0-0_101073_2014-10-04_final
2014-10-04 10:22:11	ga_ls7e_ard_3-0-0_101074_2014-10-04_final
2014-10-04 10:22:35	ga_ls7e_ard_3-1-0_101075_2014-10-04_final
2014-10-04 10:22:59	ga_ls7e_ard_3-0-0_101076_2014-10-04_final
2014-10-04 10:23:23	ga_ls7e_ard_3-0-0_101077_2014-10-04_final
2014-10-04 10:23:47	ga_ls7e_ard_3-0-0_101078_2014-10-04_final
2014-10-04 10:24:11	ga_ls7e_ard_3-0-0_101079_2014-10-04_final
2014-10-04 10:24:35	ga_ls7e_ard_3-0-0_101080_2014-10-04_final
2014-10-04 10:24:58	ga_ls7e_ard_3-0-0_101081_2014-10-04_final
2014-10-04 10:25:22	ga_ls7e_ard_3-0-0_101082_2014-10-04_final
2014-10-04 10:25:46	ga_ls7e_ard_3-0-0_101083_2014-10-04_final
2014-10-05 09:26:58	ga_ls7e_ard_3-0-0_092075_2014-10-04_final
2014-10-05 09:27:22	ga_ls7e_ard_3-0-0_092076_2014-10-04_final
2014-10-05 09:27:46	ga_ls7e_ard_3-0-0_092077_2014-10-04_final
2014-10-05 09:28:10	ga_ls7e_ard_3-0-0_092078_2014-10-04_final
2014-10-05 09:28:34	ga_ls7e_ard_3-0-0_092079_2014-10-04_final
2014-10-05 09:28:58	ga_ls7e_ard_3-0-0_092080_2014-10-04_final
2014-10-05 09:29:22	ga_ls7e_ard_3-0-0_092081_2014-10-04_final
2014-10-05 09:29:46	ga_ls7e_ard_3-0-0_092082_2014-10-04_final
2014-10-05 09:30:10	ga_ls7e_ard_3-1-0_092083_2014-10-05_final
2014-10-05 09:30:34	ga_ls7e_ard_3-0-0_092084_2014-10-05_final
2014-10-05 09:30:58	ga_ls7e_ard_3-0-0_092085_2014-10-05_final
2014-10-05 09:31:22	ga_ls7e_ard_3-0-0_092086_2014-10-05_final
2014-10-05 09:31:46	ga_ls7e_ard_3-0-0_092087_2014-10-05_final
2014-10-05 09:32:10	ga_ls7e_ard_3-0-0_092088_2014-10-05_final
2014-10-05 09:32:33	ga_ls7e_ard_3-0-0_092089_2014-10-05_final
2014-10-05 11:03:28	ga_ls7e_ard_3-0-0_108069_2014-10-05_final
2014-10-05 11:03:52	ga_ls7e_ard_3-0-0_108070_2014-10-05_final
2014-10-05 11:04:15	ga_ls7e_ard_3-1-0_108071_2014-10-05_final
2014-10-05 11:04:39	ga_ls7e_ard_3-0-0_108072_2014-10-05_final
2014-10-05 11:05:03	ga_ls7e_ard_3-0-0_108073_2014-10-05_final
2014-10-05 11:05:27	ga_ls7e_ard_3-0-0_108074_2014-10-05_final
2014-10-05 11:05:51	ga_ls7e_ard_3-0-0_108075_2014-10-05_final
2014-10-05 11:06:15	ga_ls7e_ard_3-0-0_108076_2014-10-05_final
2014-10-05 11:06:39	ga_ls7e_ard_3-0-0_108077_2014-10-05_final
2014-10-05 11:07:03	ga_ls7e_ard_3-0-0_108078_2014-10-05_final
2014-10-05 11:07:27	ga_ls7e_ard_3-0-0_108079_2014-10-05_final
2014-10-05 11:07:51	ga_ls7e_ard_3-0-0_108080_2014-10-05_final
2014-10-05 11:08:15	ga_ls7e_ard_3-0-0_108081_2014-10-05_final
2014-10-05 11:08:39	ga_ls7e_ard_3-1-0_108082_2014-10-05_final
2014-10-05 11:09:03	ga_ls7e_ard_3-0-0_108083_2014-10-05_final
2014-10-05 11:09:27	ga_ls7e_ard_3-0-0_108084_2014-10-05_final
2014-10-06 10:07:03	ga_ls7e_ard_3-0-0_099067_2014-10-06_final
2014-10-06 10:07:27	ga_ls7e_ard_3-0-0_099068_2014-10-06_final
2014-10-06 10:07:51	ga_ls7e_ard_3-0-0_099069_2014-10-06_final
2014-10-06 10:08:15	ga_ls7e_ard_3-0-0_099070_2014-10-06_final
2014-10-06 10:08:39	ga_ls7e_ard_3-0-0_099071_2014-10-06_final
2014-10-06 10:09:03	ga_ls7e_ard_3-0-0_099072_2014-10-06_final
2014-10-06 10:09:27	ga_ls7e_ard_3-0-0_099073_2014-10-06_final
2014-10-06 10:09:51	ga_ls7e_ard_3-0-0_099074_2014-10-06_final
2014-10-06 10:10:14	ga_ls7e_ard_3-0-0_099075_2014-10-06_final
2014-10-06 10:10:38	ga_ls7e_ard_3-0-0_099076_2014-10-06_final
2014-10-06 10:11:02	ga_ls7e_ard_3-0-0_099077_2014-10-06_final
2014-10-06 10:11:26	ga_ls7e_ard_3-0-0_099078_2014-10-06_final
2014-10-06 10:11:50	ga_ls7e_ard_3-0-0_099079_2014-10-06_final
2014-10-06 10:12:14	ga_ls7e_ard_3-0-0_099080_2014-10-06_final
2014-10-06 11:48:44	ga_ls7e_ard_3-0-0_115074_2014-10-06_final
2014-10-06 11:49:08	ga_ls7e_ard_3-0-0_115075_2014-10-06_final
2014-10-06 11:49:32	ga_ls7e_ard_3-0-0_115076_2014-10-06_final
2014-10-06 11:49:55	ga_ls7e_ard_3-1-0_115077_2014-10-06_final
2014-10-06 11:50:19	ga_ls7e_ard_3-0-0_115078_2014-10-06_final
2014-10-06 11:50:43	ga_ls7e_ard_3-0-0_115079_2014-10-06_final
2014-10-07 09:15:26	ga_ls7e_ard_3-0-0_090077_2014-10-06_final
2014-10-07 09:15:50	ga_ls7e_ard_3-0-0_090078_2014-10-06_final
2014-10-07 09:16:13	ga_ls7e_ard_3-0-0_090079_2014-10-06_final
2014-10-07 09:16:37	ga_ls7e_ard_3-0-0_090080_2014-10-06_final
2014-10-07 09:17:01	ga_ls7e_ard_3-0-0_090081_2014-10-06_final
2014-10-07 09:17:25	ga_ls7e_ard_3-0-0_090082_2014-10-06_final
2014-10-07 09:17:49	ga_ls7e_ard_3-0-0_090083_2014-10-06_final
2014-10-07 09:18:13	ga_ls7e_ard_3-0-0_090084_2014-10-06_final
2014-10-07 09:18:37	ga_ls7e_ard_3-1-0_090085_2014-10-06_final
2014-10-07 09:19:01	ga_ls7e_ard_3-0-0_090086_2014-10-06_final
2014-10-31 10:01:06	ga_ls7e_ard_3-0-0_098067_2014-10-31_final
2014-10-31 10:01:30	ga_ls7e_ard_3-0-0_098068_2014-10-31_final
2014-10-31 10:01:54	ga_ls7e_ard_3-0-0_098069_2014-10-31_final
2014-10-31 10:02:18	ga_ls7e_ard_3-0-0_098070_2014-10-31_final
2014-10-31 10:02:42	ga_ls7e_ard_3-0-0_098071_2014-10-31_final
2014-10-31 10:03:06	ga_ls7e_ard_3-0-0_098072_2014-10-31_final
2014-10-31 10:03:29	ga_ls7e_ard_3-0-0_098073_2014-10-31_final
2014-10-31 10:03:53	ga_ls7e_ard_3-0-0_098074_2014-10-31_final
2014-10-31 10:04:17	ga_ls7e_ard_3-0-0_098075_2014-10-31_final
2014-10-31 10:04:41	ga_ls7e_ard_3-0-0_098076_2014-10-31_final
2014-10-31 10:05:05	ga_ls7e_ard_3-0-0_098077_2014-10-31_final
2014-10-31 10:05:29	ga_ls7e_ard_3-0-0_098078_2014-10-31_final
2014-10-31 10:05:53	ga_ls7e_ard_3-0-0_098079_2014-10-31_final
2014-10-31 10:06:17	ga_ls7e_ard_3-0-0_098080_2014-10-31_final
2014-10-31 10:06:41	ga_ls7e_ard_3-0-0_098081_2014-10-31_final
2014-10-31 10:07:05	ga_ls7e_ard_3-0-0_098082_2014-10-31_final
2014-10-31 10:07:29	ga_ls7e_ard_3-0-0_098083_2014-10-31_final
2014-10-31 10:07:53	ga_ls7e_ard_3-0-0_098084_2014-10-31_final
2014-10-31 10:08:17	ga_ls7e_ard_3-0-0_098085_2014-10-31_final
2014-10-31 11:39:59	ga_ls7e_ard_3-0-0_114067_2014-10-31_final
2014-10-31 11:42:47	ga_ls7e_ard_3-0-0_114074_2014-10-31_final
2014-10-31 11:43:10	ga_ls7e_ard_3-0-0_114075_2014-10-31_final
2014-10-31 11:43:34	ga_ls7e_ard_3-0-0_114076_2014-10-31_final
2014-10-31 11:43:58	ga_ls7e_ard_3-0-0_114077_2014-10-31_final
2014-10-31 11:44:22	ga_ls7e_ard_3-0-0_114078_2014-10-31_final
2014-10-31 11:44:46	ga_ls7e_ard_3-0-0_114079_2014-10-31_final

Return to ga_ls7e_ard_3 across October 2014 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

2014

October

All days