Search ga_ls7e_ard_3 across April 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
2014-04-11 10:20:06	ga_ls7e_ard_3-0-0_101071_2014-04-11_final
2014-04-11 10:20:30	ga_ls7e_ard_3-1-0_101072_2014-04-11_final
2014-04-11 10:20:54	ga_ls7e_ard_3-0-0_101073_2014-04-11_final
2014-04-11 10:21:18	ga_ls7e_ard_3-0-0_101074_2014-04-11_final
2014-04-11 10:21:42	ga_ls7e_ard_3-1-0_101075_2014-04-11_final
2014-04-11 10:22:06	ga_ls7e_ard_3-0-0_101076_2014-04-11_final
2014-04-11 10:22:53	ga_ls7e_ard_3-0-0_101078_2014-04-11_final
2014-04-11 10:23:17	ga_ls7e_ard_3-0-0_101079_2014-04-11_final
2014-04-11 10:23:41	ga_ls7e_ard_3-0-0_101080_2014-04-11_final
2014-04-11 10:24:29	ga_ls7e_ard_3-0-0_101082_2014-04-11_final
2014-04-12 09:26:29	ga_ls7e_ard_3-0-0_092076_2014-04-11_final
2014-04-12 09:26:53	ga_ls7e_ard_3-0-0_092077_2014-04-11_final
2014-04-12 09:27:17	ga_ls7e_ard_3-0-0_092078_2014-04-11_final
2014-04-12 09:27:41	ga_ls7e_ard_3-0-0_092079_2014-04-11_final
2014-04-12 09:28:05	ga_ls7e_ard_3-0-0_092080_2014-04-11_final
2014-04-12 09:28:29	ga_ls7e_ard_3-0-0_092081_2014-04-11_final
2014-04-12 09:28:53	ga_ls7e_ard_3-0-0_092082_2014-04-11_final
2014-04-12 09:29:17	ga_ls7e_ard_3-0-0_092083_2014-04-11_final
2014-04-12 09:29:41	ga_ls7e_ard_3-0-0_092084_2014-04-11_final
2014-04-12 09:30:05	ga_ls7e_ard_3-1-0_092085_2014-04-12_final
2014-04-12 09:30:29	ga_ls7e_ard_3-1-0_092086_2014-04-12_final
2014-04-12 09:31:41	ga_ls7e_ard_3-0-0_092089_2014-04-12_final
2014-04-12 11:02:35	ga_ls7e_ard_3-0-0_108069_2014-04-12_final
2014-04-12 11:02:59	ga_ls7e_ard_3-0-0_108070_2014-04-12_final
2014-04-12 11:03:23	ga_ls7e_ard_3-1-0_108071_2014-04-12_final
2014-04-12 11:03:47	ga_ls7e_ard_3-0-0_108072_2014-04-12_final
2014-04-12 11:04:10	ga_ls7e_ard_3-0-0_108073_2014-04-12_final
2014-04-12 11:04:34	ga_ls7e_ard_3-0-0_108074_2014-04-12_final
2014-04-12 11:04:58	ga_ls7e_ard_3-1-0_108075_2014-04-12_final
2014-04-12 11:05:22	ga_ls7e_ard_3-0-0_108076_2014-04-12_final
2014-04-12 11:05:46	ga_ls7e_ard_3-0-0_108077_2014-04-12_final
2014-04-12 11:06:10	ga_ls7e_ard_3-0-0_108078_2014-04-12_final
2014-04-12 11:06:34	ga_ls7e_ard_3-0-0_108079_2014-04-12_final
2014-04-12 11:06:58	ga_ls7e_ard_3-0-0_108080_2014-04-12_final
2014-04-12 11:07:22	ga_ls7e_ard_3-0-0_108081_2014-04-12_final
2014-04-12 11:07:46	ga_ls7e_ard_3-0-0_108082_2014-04-12_final
2014-04-12 11:08:10	ga_ls7e_ard_3-0-0_108083_2014-04-12_final
2014-04-12 11:08:34	ga_ls7e_ard_3-0-0_108084_2014-04-12_final
2014-04-13 10:06:10	ga_ls7e_ard_3-0-0_099067_2014-04-13_final
2014-04-13 10:06:34	ga_ls7e_ard_3-0-0_099068_2014-04-13_final
2014-04-13 10:06:58	ga_ls7e_ard_3-0-0_099069_2014-04-13_final
2014-04-13 10:07:22	ga_ls7e_ard_3-0-0_099070_2014-04-13_final
2014-04-13 10:07:46	ga_ls7e_ard_3-0-0_099071_2014-04-13_final
2014-04-13 10:08:10	ga_ls7e_ard_3-0-0_099072_2014-04-13_final
2014-04-13 10:08:34	ga_ls7e_ard_3-0-0_099073_2014-04-13_final
2014-04-13 10:08:58	ga_ls7e_ard_3-0-0_099074_2014-04-13_final
2014-04-13 10:09:22	ga_ls7e_ard_3-0-0_099075_2014-04-13_final
2014-04-13 10:09:46	ga_ls7e_ard_3-0-0_099076_2014-04-13_final
2014-04-13 10:10:10	ga_ls7e_ard_3-0-0_099077_2014-04-13_final
2014-04-13 10:10:34	ga_ls7e_ard_3-0-0_099078_2014-04-13_final
2014-04-13 10:10:58	ga_ls7e_ard_3-0-0_099079_2014-04-13_final
2014-04-13 10:11:22	ga_ls7e_ard_3-0-0_099080_2014-04-13_final
2014-04-13 10:11:46	ga_ls7e_ard_3-0-0_099081_2014-04-13_final
2014-04-13 10:12:09	ga_ls7e_ard_3-0-0_099082_2014-04-13_final
2014-04-13 10:12:33	ga_ls7e_ard_3-0-0_099083_2014-04-13_final
2014-04-13 11:47:51	ga_ls7e_ard_3-0-0_115074_2014-04-13_final
2014-04-13 11:48:15	ga_ls7e_ard_3-0-0_115075_2014-04-13_final
2014-04-13 11:48:39	ga_ls7e_ard_3-0-0_115076_2014-04-13_final
2014-04-13 11:49:03	ga_ls7e_ard_3-1-0_115077_2014-04-13_final
2014-04-13 11:49:27	ga_ls7e_ard_3-0-0_115078_2014-04-13_final
2014-04-13 11:49:51	ga_ls7e_ard_3-0-0_115079_2014-04-13_final
2014-04-14 09:15:45	ga_ls7e_ard_3-0-0_090080_2014-04-13_final
2014-04-14 09:16:09	ga_ls7e_ard_3-0-0_090081_2014-04-13_final
2014-04-14 09:16:33	ga_ls7e_ard_3-0-0_090082_2014-04-13_final
2014-04-14 09:16:57	ga_ls7e_ard_3-0-0_090083_2014-04-13_final
2014-04-14 09:17:21	ga_ls7e_ard_3-0-0_090084_2014-04-13_final
2014-04-14 09:17:45	ga_ls7e_ard_3-1-0_090085_2014-04-13_final
2014-04-14 09:18:57	ga_ls7e_ard_3-0-0_090088_2014-04-13_final
2014-04-14 09:19:21	ga_ls7e_ard_3-0-0_090089_2014-04-13_final
2014-04-14 09:19:45	ga_ls7e_ard_3-0-0_090090_2014-04-13_final
2014-04-14 10:49:51	ga_ls7e_ard_3-0-0_106068_2014-04-14_final
2014-04-14 10:50:15	ga_ls7e_ard_3-0-0_106069_2014-04-14_final
2014-04-14 10:50:39	ga_ls7e_ard_3-0-0_106070_2014-04-14_final
2014-04-14 10:51:03	ga_ls7e_ard_3-0-0_106071_2014-04-14_final
2014-04-14 10:51:27	ga_ls7e_ard_3-0-0_106072_2014-04-14_final
2014-04-14 10:51:50	ga_ls7e_ard_3-0-0_106073_2014-04-14_final
2014-04-14 10:52:14	ga_ls7e_ard_3-0-0_106074_2014-04-14_final
2014-04-14 10:52:38	ga_ls7e_ard_3-1-0_106075_2014-04-14_final
2014-04-14 10:53:02	ga_ls7e_ard_3-0-0_106076_2014-04-14_final
2014-04-14 10:53:26	ga_ls7e_ard_3-0-0_106077_2014-04-14_final
2014-04-14 10:53:50	ga_ls7e_ard_3-0-0_106078_2014-04-14_final
2014-04-14 10:54:14	ga_ls7e_ard_3-0-0_106079_2014-04-14_final
2014-04-14 10:54:38	ga_ls7e_ard_3-0-0_106080_2014-04-14_final
2014-04-14 10:55:02	ga_ls7e_ard_3-0-0_106081_2014-04-14_final
2014-04-14 10:55:26	ga_ls7e_ard_3-0-0_106082_2014-04-14_final
2014-04-14 10:55:50	ga_ls7e_ard_3-0-0_106083_2014-04-14_final
2014-04-24 09:50:34	ga_ls7e_ard_3-0-0_096074_2014-04-24_final
2014-04-24 09:50:58	ga_ls7e_ard_3-0-0_096075_2014-04-24_final
2014-04-26 09:35:26	ga_ls7e_ard_3-1-0_094067_2014-04-26_final
2014-04-26 09:37:49	ga_ls7e_ard_3-0-0_094073_2014-04-26_final
2014-04-26 09:38:13	ga_ls7e_ard_3-0-0_094074_2014-04-26_final
2014-04-26 09:38:37	ga_ls7e_ard_3-0-0_094075_2014-04-26_final
2014-04-26 09:39:01	ga_ls7e_ard_3-0-0_094076_2014-04-26_final
2014-04-26 09:39:25	ga_ls7e_ard_3-0-0_094077_2014-04-26_final
2014-04-26 09:39:49	ga_ls7e_ard_3-0-0_094078_2014-04-26_final
2014-04-26 09:40:13	ga_ls7e_ard_3-0-0_094079_2014-04-26_final
2014-04-26 09:40:37	ga_ls7e_ard_3-0-0_094080_2014-04-26_final
2014-04-26 09:41:01	ga_ls7e_ard_3-0-0_094081_2014-04-26_final
2014-04-26 09:42:13	ga_ls7e_ard_3-0-0_094084_2014-04-26_final
2014-04-26 09:42:37	ga_ls7e_ard_3-0-0_094085_2014-04-26_final

Return to ga_ls7e_ard_3 across April 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

April

All days