Search ga_ls7e_ard_3 across August 2015

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
2015-08-01 09:50:22	ga_ls7e_ard_3-0-0_096067_2015-08-01_final
2015-08-01 09:51:34	ga_ls7e_ard_3-0-0_096070_2015-08-01_final
2015-08-01 09:51:58	ga_ls7e_ard_3-0-0_096071_2015-08-01_final
2015-08-01 09:52:22	ga_ls7e_ard_3-0-0_096072_2015-08-01_final
2015-08-01 09:52:46	ga_ls7e_ard_3-0-0_096073_2015-08-01_final
2015-08-01 09:53:10	ga_ls7e_ard_3-0-0_096074_2015-08-01_final
2015-08-01 09:53:33	ga_ls7e_ard_3-0-0_096075_2015-08-01_final
2015-08-01 09:53:57	ga_ls7e_ard_3-0-0_096076_2015-08-01_final
2015-08-01 09:54:21	ga_ls7e_ard_3-0-0_096077_2015-08-01_final
2015-08-01 09:54:45	ga_ls7e_ard_3-0-0_096078_2015-08-01_final
2015-08-01 09:55:09	ga_ls7e_ard_3-0-0_096079_2015-08-01_final
2015-08-01 09:55:33	ga_ls7e_ard_3-0-0_096080_2015-08-01_final
2015-08-01 09:55:57	ga_ls7e_ard_3-1-0_096081_2015-08-01_final
2015-08-01 09:56:21	ga_ls7e_ard_3-0-0_096082_2015-08-01_final
2015-08-01 09:56:45	ga_ls7e_ard_3-0-0_096083_2015-08-01_final
2015-08-01 11:32:03	ga_ls7e_ard_3-0-0_112074_2015-08-01_final
2015-08-01 11:32:27	ga_ls7e_ard_3-0-0_112075_2015-08-01_final
2015-08-01 11:32:51	ga_ls7e_ard_3-0-0_112076_2015-08-01_final
2015-08-01 11:33:14	ga_ls7e_ard_3-0-0_112077_2015-08-01_final
2015-08-01 11:33:38	ga_ls7e_ard_3-0-0_112078_2015-08-01_final
2015-08-01 11:34:02	ga_ls7e_ard_3-0-0_112079_2015-08-01_final
2015-08-01 11:34:26	ga_ls7e_ard_3-0-0_112080_2015-08-01_final
2015-08-01 11:35:14	ga_ls7e_ard_3-0-0_112082_2015-08-01_final
2015-08-01 11:35:38	ga_ls7e_ard_3-0-0_112083_2015-08-01_final
2015-08-01 11:36:02	ga_ls7e_ard_3-1-0_112084_2015-08-01_final
2015-08-02 10:34:02	ga_ls7e_ard_3-0-0_103068_2015-08-02_final
2015-08-02 10:34:26	ga_ls7e_ard_3-0-0_103069_2015-08-02_final
2015-08-02 10:34:50	ga_ls7e_ard_3-0-0_103070_2015-08-02_final
2015-08-02 10:35:14	ga_ls7e_ard_3-0-0_103071_2015-08-02_final
2015-08-02 10:35:38	ga_ls7e_ard_3-0-0_103072_2015-08-02_final
2015-08-02 10:36:02	ga_ls7e_ard_3-0-0_103073_2015-08-02_final
2015-08-02 10:36:26	ga_ls7e_ard_3-0-0_103074_2015-08-02_final
2015-08-02 10:36:50	ga_ls7e_ard_3-0-0_103075_2015-08-02_final
2015-08-02 10:37:14	ga_ls7e_ard_3-0-0_103076_2015-08-02_final
2015-08-02 10:37:37	ga_ls7e_ard_3-0-0_103077_2015-08-02_final
2015-08-02 10:38:01	ga_ls7e_ard_3-0-0_103078_2015-08-02_final
2015-08-02 10:38:25	ga_ls7e_ard_3-0-0_103079_2015-08-02_final
2015-08-02 10:39:13	ga_ls7e_ard_3-0-0_103081_2015-08-02_final
2015-08-02 10:39:37	ga_ls7e_ard_3-0-0_103082_2015-08-02_final
2015-08-03 09:38:01	ga_ls7e_ard_3-1-0_094067_2015-08-03_final
2015-08-03 09:40:25	ga_ls7e_ard_3-0-0_094073_2015-08-03_final
2015-08-03 09:40:49	ga_ls7e_ard_3-0-0_094074_2015-08-03_final
2015-08-03 09:41:13	ga_ls7e_ard_3-0-0_094075_2015-08-03_final
2015-08-03 09:41:37	ga_ls7e_ard_3-0-0_094076_2015-08-03_final
2015-08-03 09:42:01	ga_ls7e_ard_3-0-0_094077_2015-08-03_final
2015-08-03 09:42:24	ga_ls7e_ard_3-0-0_094078_2015-08-03_final
2015-08-03 09:42:48	ga_ls7e_ard_3-0-0_094079_2015-08-03_final
2015-08-03 09:43:12	ga_ls7e_ard_3-0-0_094080_2015-08-03_final
2015-08-03 09:43:36	ga_ls7e_ard_3-0-0_094081_2015-08-03_final
2015-08-03 09:44:00	ga_ls7e_ard_3-0-0_094082_2015-08-03_final
2015-08-03 09:44:24	ga_ls7e_ard_3-1-0_094083_2015-08-03_final
2015-08-03 09:44:48	ga_ls7e_ard_3-0-0_094084_2015-08-03_final
2015-08-03 09:45:12	ga_ls7e_ard_3-0-0_094085_2015-08-03_final
2015-08-03 09:45:36	ga_ls7e_ard_3-0-0_094086_2015-08-03_final
2015-08-03 09:46:00	ga_ls7e_ard_3-0-0_094087_2015-08-03_final
2015-08-03 11:16:54	ga_ls7e_ard_3-0-0_110067_2015-08-03_final
2015-08-03 11:18:06	ga_ls7e_ard_3-0-0_110070_2015-08-03_final
2015-08-03 11:18:30	ga_ls7e_ard_3-0-0_110071_2015-08-03_final
2015-08-03 11:18:54	ga_ls7e_ard_3-1-0_110072_2015-08-03_final
2015-08-03 11:19:18	ga_ls7e_ard_3-0-0_110073_2015-08-03_final
2015-08-03 11:19:42	ga_ls7e_ard_3-0-0_110074_2015-08-03_final
2015-08-03 11:20:06	ga_ls7e_ard_3-0-0_110075_2015-08-03_final
2015-08-03 11:20:30	ga_ls7e_ard_3-0-0_110076_2015-08-03_final
2015-08-03 11:20:54	ga_ls7e_ard_3-0-0_110077_2015-08-03_final
2015-08-03 11:21:18	ga_ls7e_ard_3-0-0_110078_2015-08-03_final
2015-08-03 11:21:41	ga_ls7e_ard_3-0-0_110079_2015-08-03_final
2015-08-03 11:22:05	ga_ls7e_ard_3-0-0_110080_2015-08-03_final
2015-08-03 11:22:29	ga_ls7e_ard_3-0-0_110081_2015-08-03_final
2015-08-03 11:22:53	ga_ls7e_ard_3-0-0_110082_2015-08-03_final
2015-08-03 11:23:17	ga_ls7e_ard_3-0-0_110083_2015-08-03_final
2015-08-03 11:23:41	ga_ls7e_ard_3-0-0_110084_2015-08-03_final
2015-08-07 09:17:19	ga_ls7e_ard_3-0-0_090077_2015-08-06_final
2015-08-07 09:17:43	ga_ls7e_ard_3-0-0_090078_2015-08-06_final
2015-08-07 09:18:06	ga_ls7e_ard_3-0-0_090079_2015-08-06_final
2015-08-07 09:18:30	ga_ls7e_ard_3-0-0_090080_2015-08-06_final
2015-08-07 09:18:54	ga_ls7e_ard_3-0-0_090081_2015-08-06_final
2015-08-07 09:19:18	ga_ls7e_ard_3-1-0_090082_2015-08-06_final
2015-08-07 09:19:42	ga_ls7e_ard_3-0-0_090083_2015-08-06_final
2015-08-07 09:20:06	ga_ls7e_ard_3-0-0_090084_2015-08-06_final
2015-08-07 09:20:30	ga_ls7e_ard_3-1-0_090085_2015-08-06_final
2015-08-07 09:20:54	ga_ls7e_ard_3-0-0_090086_2015-08-06_final
2015-08-07 09:21:42	ga_ls7e_ard_3-0-0_090088_2015-08-06_final
2015-08-07 09:22:06	ga_ls7e_ard_3-0-0_090089_2015-08-06_final
2015-08-07 09:22:30	ga_ls7e_ard_3-0-0_090090_2015-08-06_final
2015-08-08 09:57:23	ga_ls7e_ard_3-0-0_097069_2015-08-08_final
2015-08-08 09:57:47	ga_ls7e_ard_3-0-0_097070_2015-08-08_final
2015-08-08 09:58:11	ga_ls7e_ard_3-0-0_097071_2015-08-08_final
2015-08-08 09:58:35	ga_ls7e_ard_3-0-0_097072_2015-08-08_final
2015-08-08 09:58:59	ga_ls7e_ard_3-0-0_097073_2015-08-08_final
2015-08-08 09:59:23	ga_ls7e_ard_3-0-0_097074_2015-08-08_final
2015-08-08 09:59:47	ga_ls7e_ard_3-0-0_097075_2015-08-08_final
2015-08-08 10:00:11	ga_ls7e_ard_3-1-0_097076_2015-08-08_final
2015-08-08 10:00:35	ga_ls7e_ard_3-0-0_097077_2015-08-08_final
2015-08-08 10:00:59	ga_ls7e_ard_3-0-0_097078_2015-08-08_final
2015-08-08 10:01:22	ga_ls7e_ard_3-0-0_097079_2015-08-08_final
2015-08-08 10:01:46	ga_ls7e_ard_3-0-0_097080_2015-08-08_final
2015-08-08 10:02:10	ga_ls7e_ard_3-0-0_097081_2015-08-08_final
2015-08-08 10:02:34	ga_ls7e_ard_3-0-0_097082_2015-08-08_final
2015-08-08 10:02:58	ga_ls7e_ard_3-0-0_097083_2015-08-08_final
2015-08-08 10:03:22	ga_ls7e_ard_3-0-0_097084_2015-08-08_final

Return to ga_ls7e_ard_3 across August 2015 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

2015

August

All days