Search ga_ls7e_ard_3 across July 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
2014-07-11 10:00:28	ga_ls7e_ard_3-0-0_098067_2014-07-11_final
2014-07-11 10:00:52	ga_ls7e_ard_3-0-0_098068_2014-07-11_final
2014-07-11 10:01:16	ga_ls7e_ard_3-0-0_098069_2014-07-11_final
2014-07-11 10:01:40	ga_ls7e_ard_3-0-0_098070_2014-07-11_final
2014-07-11 10:02:04	ga_ls7e_ard_3-0-0_098071_2014-07-11_final
2014-07-11 10:02:28	ga_ls7e_ard_3-0-0_098072_2014-07-11_final
2014-07-11 10:02:52	ga_ls7e_ard_3-0-0_098073_2014-07-11_final
2014-07-11 10:03:16	ga_ls7e_ard_3-0-0_098074_2014-07-11_final
2014-07-11 10:03:40	ga_ls7e_ard_3-0-0_098075_2014-07-11_final
2014-07-11 10:04:04	ga_ls7e_ard_3-0-0_098076_2014-07-11_final
2014-07-11 10:04:28	ga_ls7e_ard_3-0-0_098077_2014-07-11_final
2014-07-11 10:04:52	ga_ls7e_ard_3-0-0_098078_2014-07-11_final
2014-07-11 10:05:16	ga_ls7e_ard_3-0-0_098079_2014-07-11_final
2014-07-11 10:05:40	ga_ls7e_ard_3-1-0_098080_2014-07-11_final
2014-07-11 10:06:04	ga_ls7e_ard_3-0-0_098081_2014-07-11_final
2014-07-11 10:06:28	ga_ls7e_ard_3-0-0_098082_2014-07-11_final
2014-07-11 10:06:51	ga_ls7e_ard_3-0-0_098083_2014-07-11_final
2014-07-11 10:07:15	ga_ls7e_ard_3-0-0_098084_2014-07-11_final
2014-07-11 10:07:39	ga_ls7e_ard_3-0-0_098085_2014-07-11_final
2014-07-11 11:39:21	ga_ls7e_ard_3-0-0_114067_2014-07-11_final
2014-07-11 11:42:09	ga_ls7e_ard_3-0-0_114074_2014-07-11_final
2014-07-11 11:42:33	ga_ls7e_ard_3-0-0_114075_2014-07-11_final
2014-07-11 11:42:57	ga_ls7e_ard_3-0-0_114076_2014-07-11_final
2014-07-11 11:43:21	ga_ls7e_ard_3-0-0_114077_2014-07-11_final
2014-07-11 11:43:45	ga_ls7e_ard_3-0-0_114078_2014-07-11_final
2014-07-11 11:44:09	ga_ls7e_ard_3-0-0_114079_2014-07-11_final
2014-07-11 11:44:33	ga_ls7e_ard_3-0-0_114080_2014-07-11_final
2014-07-11 11:44:57	ga_ls7e_ard_3-0-0_114081_2014-07-11_final
2014-07-12 09:08:50	ga_ls7e_ard_3-0-0_089077_2014-07-11_final
2014-07-12 09:09:14	ga_ls7e_ard_3-0-0_089078_2014-07-11_final
2014-07-12 09:09:38	ga_ls7e_ard_3-0-0_089079_2014-07-11_final
2014-07-12 09:10:02	ga_ls7e_ard_3-0-0_089080_2014-07-11_final
2014-07-12 09:10:26	ga_ls7e_ard_3-1-0_089081_2014-07-11_final
2014-07-12 09:10:50	ga_ls7e_ard_3-0-0_089082_2014-07-11_final
2014-07-12 09:11:14	ga_ls7e_ard_3-0-0_089083_2014-07-11_final
2014-07-12 09:11:38	ga_ls7e_ard_3-0-0_089084_2014-07-11_final
2014-07-12 09:12:02	ga_ls7e_ard_3-0-0_089085_2014-07-11_final
2014-07-12 09:12:26	ga_ls7e_ard_3-0-0_089086_2014-07-11_final
2014-07-12 09:13:38	ga_ls7e_ard_3-1-0_089089_2014-07-11_final
2014-07-12 09:14:02	ga_ls7e_ard_3-0-0_089090_2014-07-11_final
2014-07-12 10:44:08	ga_ls7e_ard_3-0-0_105068_2014-07-12_final
2014-07-12 10:44:32	ga_ls7e_ard_3-0-0_105069_2014-07-12_final
2014-07-12 10:44:56	ga_ls7e_ard_3-0-0_105070_2014-07-12_final
2014-07-12 10:45:20	ga_ls7e_ard_3-0-0_105071_2014-07-12_final
2014-07-12 10:45:44	ga_ls7e_ard_3-0-0_105072_2014-07-12_final
2014-07-12 10:46:08	ga_ls7e_ard_3-0-0_105073_2014-07-12_final
2014-07-12 10:46:32	ga_ls7e_ard_3-0-0_105074_2014-07-12_final
2014-07-12 10:47:43	ga_ls7e_ard_3-0-0_105077_2014-07-12_final
2014-07-12 10:48:07	ga_ls7e_ard_3-0-0_105078_2014-07-12_final
2014-07-12 10:48:31	ga_ls7e_ard_3-0-0_105079_2014-07-12_final
2014-07-12 10:48:55	ga_ls7e_ard_3-1-0_105080_2014-07-12_final
2014-07-12 10:49:19	ga_ls7e_ard_3-0-0_105081_2014-07-12_final
2014-07-13 09:49:18	ga_ls7e_ard_3-0-0_096070_2014-07-13_final
2014-07-13 09:49:42	ga_ls7e_ard_3-0-0_096071_2014-07-13_final
2014-07-13 09:50:06	ga_ls7e_ard_3-0-0_096072_2014-07-13_final
2014-07-13 09:50:30	ga_ls7e_ard_3-0-0_096073_2014-07-13_final
2014-07-13 09:50:54	ga_ls7e_ard_3-0-0_096074_2014-07-13_final
2014-07-13 09:51:18	ga_ls7e_ard_3-0-0_096075_2014-07-13_final
2014-07-13 09:51:42	ga_ls7e_ard_3-0-0_096076_2014-07-13_final
2014-07-13 09:52:06	ga_ls7e_ard_3-0-0_096077_2014-07-13_final
2014-07-13 09:52:54	ga_ls7e_ard_3-0-0_096079_2014-07-13_final
2014-07-13 09:53:18	ga_ls7e_ard_3-0-0_096080_2014-07-13_final
2014-07-13 09:53:42	ga_ls7e_ard_3-0-0_096081_2014-07-13_final
2014-07-13 09:54:06	ga_ls7e_ard_3-0-0_096082_2014-07-13_final
2014-07-13 09:54:30	ga_ls7e_ard_3-0-0_096083_2014-07-13_final
2014-07-13 09:54:54	ga_ls7e_ard_3-0-0_096084_2014-07-13_final
2014-07-13 09:55:17	ga_ls7e_ard_3-0-0_096085_2014-07-13_final
2014-07-13 11:29:47	ga_ls7e_ard_3-0-0_112074_2014-07-13_final
2014-07-13 11:30:11	ga_ls7e_ard_3-0-0_112075_2014-07-13_final
2014-07-13 11:30:35	ga_ls7e_ard_3-0-0_112076_2014-07-13_final
2014-07-13 11:30:59	ga_ls7e_ard_3-0-0_112077_2014-07-13_final
2014-07-13 11:31:23	ga_ls7e_ard_3-0-0_112078_2014-07-13_final
2014-07-13 11:31:47	ga_ls7e_ard_3-0-0_112079_2014-07-13_final
2014-07-13 11:32:11	ga_ls7e_ard_3-0-0_112080_2014-07-13_final
2014-07-13 11:32:35	ga_ls7e_ard_3-0-0_112081_2014-07-13_final
2014-07-13 11:32:59	ga_ls7e_ard_3-0-0_112082_2014-07-13_final
2014-07-13 11:33:23	ga_ls7e_ard_3-0-0_112083_2014-07-13_final
2014-07-13 11:33:47	ga_ls7e_ard_3-1-0_112084_2014-07-13_final
2014-07-14 10:31:46	ga_ls7e_ard_3-0-0_103068_2014-07-14_final
2014-07-14 10:32:10	ga_ls7e_ard_3-0-0_103069_2014-07-14_final
2014-07-14 10:32:34	ga_ls7e_ard_3-0-0_103070_2014-07-14_final
2014-07-14 10:32:58	ga_ls7e_ard_3-0-0_103071_2014-07-14_final
2014-07-14 10:33:22	ga_ls7e_ard_3-0-0_103072_2014-07-14_final
2014-07-14 10:34:33	ga_ls7e_ard_3-0-0_103075_2014-07-14_final
2014-07-14 10:34:57	ga_ls7e_ard_3-0-0_103076_2014-07-14_final
2014-07-14 10:36:57	ga_ls7e_ard_3-0-0_103081_2014-07-14_final
2014-07-14 10:37:21	ga_ls7e_ard_3-0-0_103082_2014-07-14_final
2014-07-15 09:35:44	ga_ls7e_ard_3-1-0_094067_2014-07-15_final
2014-07-31 09:38:15	ga_ls7e_ard_3-0-0_094073_2014-07-31_final
2014-07-31 09:38:39	ga_ls7e_ard_3-0-0_094074_2014-07-31_final
2014-07-31 09:39:03	ga_ls7e_ard_3-0-0_094075_2014-07-31_final
2014-07-31 09:39:27	ga_ls7e_ard_3-0-0_094076_2014-07-31_final
2014-07-31 09:39:51	ga_ls7e_ard_3-0-0_094077_2014-07-31_final
2014-07-31 09:40:15	ga_ls7e_ard_3-0-0_094078_2014-07-31_final
2014-07-31 09:40:39	ga_ls7e_ard_3-0-0_094079_2014-07-31_final
2014-07-31 09:41:03	ga_ls7e_ard_3-0-0_094080_2014-07-31_final
2014-07-31 09:41:27	ga_ls7e_ard_3-0-0_094081_2014-07-31_final
2014-07-31 09:41:51	ga_ls7e_ard_3-0-0_094082_2014-07-31_final
2014-07-31 09:42:15	ga_ls7e_ard_3-1-0_094083_2014-07-31_final
2014-07-31 09:42:39	ga_ls7e_ard_3-0-0_094084_2014-07-31_final

Return to ga_ls7e_ard_3 across July 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

July

All days