Search ga_ls7e_ard_3 across July 2013

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
2013-07-01 09:53:06	ga_ls7e_ard_3-0-0_097069_2013-07-01_final
2013-07-01 09:53:30	ga_ls7e_ard_3-0-0_097070_2013-07-01_final
2013-07-01 09:53:54	ga_ls7e_ard_3-0-0_097071_2013-07-01_final
2013-07-01 09:54:17	ga_ls7e_ard_3-0-0_097072_2013-07-01_final
2013-07-01 09:54:41	ga_ls7e_ard_3-0-0_097073_2013-07-01_final
2013-07-01 09:55:05	ga_ls7e_ard_3-0-0_097074_2013-07-01_final
2013-07-01 09:55:29	ga_ls7e_ard_3-0-0_097075_2013-07-01_final
2013-07-09 09:07:08	ga_ls7e_ard_3-0-0_089078_2013-07-08_final
2013-07-09 09:07:32	ga_ls7e_ard_3-0-0_089079_2013-07-08_final
2013-07-09 09:07:56	ga_ls7e_ard_3-0-0_089080_2013-07-08_final
2013-07-09 09:08:20	ga_ls7e_ard_3-1-0_089081_2013-07-08_final
2013-07-09 09:08:44	ga_ls7e_ard_3-0-0_089082_2013-07-08_final
2013-07-09 09:09:08	ga_ls7e_ard_3-0-0_089083_2013-07-08_final
2013-07-09 09:09:32	ga_ls7e_ard_3-0-0_089084_2013-07-08_final
2013-07-09 09:09:56	ga_ls7e_ard_3-0-0_089085_2013-07-08_final
2013-07-09 09:10:20	ga_ls7e_ard_3-0-0_089086_2013-07-08_final
2013-07-09 09:11:32	ga_ls7e_ard_3-0-0_089089_2013-07-08_final
2013-07-09 09:11:55	ga_ls7e_ard_3-0-0_089090_2013-07-08_final
2013-07-09 10:42:02	ga_ls7e_ard_3-0-0_105068_2013-07-09_final
2013-07-09 10:42:25	ga_ls7e_ard_3-0-0_105069_2013-07-09_final
2013-07-09 10:42:49	ga_ls7e_ard_3-0-0_105070_2013-07-09_final
2013-07-09 10:43:13	ga_ls7e_ard_3-0-0_105071_2013-07-09_final
2013-07-09 10:43:37	ga_ls7e_ard_3-0-0_105072_2013-07-09_final
2013-07-09 10:44:01	ga_ls7e_ard_3-0-0_105073_2013-07-09_final
2013-07-09 10:46:01	ga_ls7e_ard_3-0-0_105078_2013-07-09_final
2013-07-09 10:46:25	ga_ls7e_ard_3-0-0_105079_2013-07-09_final
2013-07-09 10:46:49	ga_ls7e_ard_3-1-0_105080_2013-07-09_final
2013-07-09 10:47:13	ga_ls7e_ard_3-0-0_105081_2013-07-09_final
2013-07-09 10:47:37	ga_ls7e_ard_3-0-0_105082_2013-07-09_final
2013-07-10 09:46:00	ga_ls7e_ard_3-0-0_096067_2013-07-10_final
2013-07-10 09:47:11	ga_ls7e_ard_3-0-0_096070_2013-07-10_final
2013-07-10 09:47:35	ga_ls7e_ard_3-0-0_096071_2013-07-10_final
2013-07-10 09:47:59	ga_ls7e_ard_3-0-0_096072_2013-07-10_final
2013-07-10 09:48:23	ga_ls7e_ard_3-0-0_096073_2013-07-10_final
2013-07-10 09:48:47	ga_ls7e_ard_3-0-0_096074_2013-07-10_final
2013-07-10 09:49:11	ga_ls7e_ard_3-0-0_096075_2013-07-10_final
2013-07-10 09:49:35	ga_ls7e_ard_3-0-0_096076_2013-07-10_final
2013-07-10 09:51:11	ga_ls7e_ard_3-0-0_096080_2013-07-10_final
2013-07-10 09:51:35	ga_ls7e_ard_3-0-0_096081_2013-07-10_final
2013-07-10 09:51:59	ga_ls7e_ard_3-0-0_096082_2013-07-10_final
2013-07-10 09:52:23	ga_ls7e_ard_3-0-0_096083_2013-07-10_final
2013-07-10 09:52:47	ga_ls7e_ard_3-0-0_096084_2013-07-10_final
2013-07-10 09:53:11	ga_ls7e_ard_3-0-0_096085_2013-07-10_final
2013-07-10 09:53:35	ga_ls7e_ard_3-1-0_096086_2013-07-10_final
2013-07-10 11:27:40	ga_ls7e_ard_3-0-0_112074_2013-07-10_final
2013-07-10 11:28:04	ga_ls7e_ard_3-0-0_112075_2013-07-10_final
2013-07-10 11:28:28	ga_ls7e_ard_3-0-0_112076_2013-07-10_final
2013-07-10 11:28:52	ga_ls7e_ard_3-0-0_112077_2013-07-10_final
2013-07-10 11:29:16	ga_ls7e_ard_3-0-0_112078_2013-07-10_final
2013-07-10 11:29:40	ga_ls7e_ard_3-0-0_112079_2013-07-10_final
2013-07-10 11:30:04	ga_ls7e_ard_3-0-0_112080_2013-07-10_final
2013-07-10 11:30:28	ga_ls7e_ard_3-0-0_112081_2013-07-10_final
2013-07-10 11:30:52	ga_ls7e_ard_3-0-0_112082_2013-07-10_final
2013-07-10 11:31:16	ga_ls7e_ard_3-0-0_112083_2013-07-10_final
2013-07-10 11:31:40	ga_ls7e_ard_3-0-0_112084_2013-07-10_final
2013-07-11 10:29:39	ga_ls7e_ard_3-0-0_103068_2013-07-11_final
2013-07-11 10:30:03	ga_ls7e_ard_3-0-0_103069_2013-07-11_final
2013-07-11 10:30:27	ga_ls7e_ard_3-0-0_103070_2013-07-11_final
2013-07-11 10:30:51	ga_ls7e_ard_3-0-0_103071_2013-07-11_final
2013-07-11 10:31:15	ga_ls7e_ard_3-0-0_103072_2013-07-11_final
2013-07-11 10:31:39	ga_ls7e_ard_3-0-0_103073_2013-07-11_final
2013-07-11 10:32:03	ga_ls7e_ard_3-0-0_103074_2013-07-11_final
2013-07-11 10:32:27	ga_ls7e_ard_3-0-0_103075_2013-07-11_final
2013-07-11 10:32:51	ga_ls7e_ard_3-0-0_103076_2013-07-11_final
2013-07-11 10:33:14	ga_ls7e_ard_3-0-0_103077_2013-07-11_final
2013-07-12 09:33:38	ga_ls7e_ard_3-0-0_094067_2013-07-12_final
2013-07-12 09:36:25	ga_ls7e_ard_3-0-0_094074_2013-07-12_final
2013-07-12 09:36:49	ga_ls7e_ard_3-0-0_094075_2013-07-12_final
2013-07-12 09:37:13	ga_ls7e_ard_3-0-0_094076_2013-07-12_final
2013-07-12 09:37:37	ga_ls7e_ard_3-0-0_094077_2013-07-12_final
2013-07-12 09:38:01	ga_ls7e_ard_3-0-0_094078_2013-07-12_final
2013-07-12 09:38:25	ga_ls7e_ard_3-0-0_094079_2013-07-12_final
2013-07-12 09:38:49	ga_ls7e_ard_3-0-0_094080_2013-07-12_final
2013-07-12 09:39:13	ga_ls7e_ard_3-0-0_094081_2013-07-12_final
2013-07-12 09:39:37	ga_ls7e_ard_3-0-0_094082_2013-07-12_final
2013-07-12 09:40:01	ga_ls7e_ard_3-0-0_094083_2013-07-12_final
2013-07-12 09:40:25	ga_ls7e_ard_3-0-0_094084_2013-07-12_final
2013-07-12 09:40:49	ga_ls7e_ard_3-0-0_094085_2013-07-12_final
2013-07-12 09:41:13	ga_ls7e_ard_3-0-0_094086_2013-07-12_final
2013-07-12 09:41:37	ga_ls7e_ard_3-0-0_094087_2013-07-12_final
2013-07-12 11:13:42	ga_ls7e_ard_3-0-0_110070_2013-07-12_final
2013-07-12 11:14:06	ga_ls7e_ard_3-0-0_110071_2013-07-12_final
2013-07-12 11:14:30	ga_ls7e_ard_3-1-0_110072_2013-07-12_final
2013-07-12 11:14:54	ga_ls7e_ard_3-0-0_110073_2013-07-12_final
2013-07-12 11:15:18	ga_ls7e_ard_3-0-0_110074_2013-07-12_final
2013-07-12 11:15:42	ga_ls7e_ard_3-0-0_110075_2013-07-12_final
2013-07-12 11:16:06	ga_ls7e_ard_3-0-0_110076_2013-07-12_final
2013-07-12 11:16:30	ga_ls7e_ard_3-0-0_110077_2013-07-12_final
2013-07-12 11:16:54	ga_ls7e_ard_3-0-0_110078_2013-07-12_final
2013-07-12 11:17:18	ga_ls7e_ard_3-0-0_110079_2013-07-12_final
2013-07-12 11:18:06	ga_ls7e_ard_3-0-0_110081_2013-07-12_final
2013-07-13 10:18:29	ga_ls7e_ard_3-0-0_101071_2013-07-13_final
2013-07-13 10:18:53	ga_ls7e_ard_3-0-0_101072_2013-07-13_final
2013-07-13 10:19:17	ga_ls7e_ard_3-0-0_101073_2013-07-13_final
2013-07-13 10:19:41	ga_ls7e_ard_3-0-0_101074_2013-07-13_final
2013-07-13 10:20:05	ga_ls7e_ard_3-1-0_101075_2013-07-13_final
2013-07-13 10:20:29	ga_ls7e_ard_3-0-0_101076_2013-07-13_final
2013-07-13 10:20:52	ga_ls7e_ard_3-0-0_101077_2013-07-13_final
2013-07-13 10:21:16	ga_ls7e_ard_3-0-0_101078_2013-07-13_final
2013-07-13 10:21:40	ga_ls7e_ard_3-0-0_101079_2013-07-13_final

Return to ga_ls7e_ard_3 across July 2013 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

2013

July

All days