Search ga_ls7e_ard_3 whole collection

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

58 results

Time (local)	Label
2020-11-02 09:14:59	ga_ls7e_ard_3-1-0_096071_2020-11-01_final
2020-11-02 09:15:23	ga_ls7e_ard_3-1-0_096072_2020-11-01_final
2020-11-02 09:15:47	ga_ls7e_ard_3-1-0_096073_2020-11-01_final
2020-11-02 09:16:11	ga_ls7e_ard_3-1-0_096074_2020-11-01_final
2020-11-02 09:16:35	ga_ls7e_ard_3-1-0_096075_2020-11-01_final
2020-11-02 09:16:59	ga_ls7e_ard_3-1-0_096076_2020-11-01_final
2020-11-02 09:17:22	ga_ls7e_ard_3-1-0_096077_2020-11-01_final
2020-11-02 09:17:46	ga_ls7e_ard_3-1-0_096078_2020-11-01_final
2020-11-02 09:18:10	ga_ls7e_ard_3-1-0_096079_2020-11-01_final
2020-11-02 09:18:34	ga_ls7e_ard_3-1-0_096080_2020-11-01_final
2020-11-02 09:18:58	ga_ls7e_ard_3-1-0_096081_2020-11-01_final
2020-11-02 09:19:22	ga_ls7e_ard_3-1-0_096082_2020-11-01_final
2020-11-02 09:19:46	ga_ls7e_ard_3-1-0_096083_2020-11-01_final
2020-11-02 09:20:34	ga_ls7e_ard_3-1-0_096085_2020-11-01_final
2020-11-02 09:20:58	ga_ls7e_ard_3-1-0_096086_2020-11-01_final
2020-11-02 10:55:03	ga_ls7e_ard_3-1-0_112074_2020-11-02_final
2020-11-02 10:55:27	ga_ls7e_ard_3-1-0_112075_2020-11-02_final
2020-11-02 10:55:51	ga_ls7e_ard_3-1-0_112076_2020-11-02_final
2020-11-02 10:56:15	ga_ls7e_ard_3-1-0_112077_2020-11-02_final
2020-11-02 10:56:39	ga_ls7e_ard_3-1-0_112078_2020-11-02_final
2020-11-02 10:57:03	ga_ls7e_ard_3-1-0_112079_2020-11-02_final
2020-11-02 10:57:27	ga_ls7e_ard_3-1-0_112080_2020-11-02_final
2020-11-03 09:56:59	ga_ls7e_ard_3-1-0_103068_2020-11-03_final
2020-11-03 09:57:22	ga_ls7e_ard_3-1-0_103069_2020-11-03_final
2020-11-03 09:57:46	ga_ls7e_ard_3-1-0_103070_2020-11-03_final
2020-11-03 09:58:10	ga_ls7e_ard_3-1-0_103071_2020-11-03_final
2020-11-03 09:58:34	ga_ls7e_ard_3-1-0_103072_2020-11-03_final
2020-11-03 09:58:58	ga_ls7e_ard_3-1-0_103073_2020-11-03_final
2020-11-03 09:59:22	ga_ls7e_ard_3-1-0_103074_2020-11-03_final
2020-11-03 09:59:46	ga_ls7e_ard_3-1-0_103075_2020-11-03_final
2020-11-03 10:00:10	ga_ls7e_ard_3-1-0_103076_2020-11-03_final
2020-11-03 10:00:34	ga_ls7e_ard_3-1-0_103077_2020-11-03_final
2020-11-03 10:00:58	ga_ls7e_ard_3-1-0_103078_2020-11-03_final
2020-11-03 10:01:22	ga_ls7e_ard_3-1-0_103079_2020-11-03_final
2020-11-03 10:02:34	ga_ls7e_ard_3-1-0_103082_2020-11-03_final
2020-12-01 08:44:03	ga_ls7e_ard_3-1-0_091076_2020-11-30_final
2020-12-01 08:44:26	ga_ls7e_ard_3-1-0_091077_2020-11-30_final
2020-12-01 08:44:50	ga_ls7e_ard_3-1-0_091078_2020-11-30_final
2020-12-01 08:45:14	ga_ls7e_ard_3-1-0_091079_2020-11-30_final
2020-12-01 08:45:38	ga_ls7e_ard_3-1-0_091080_2020-11-30_final
2020-12-01 08:46:02	ga_ls7e_ard_3-1-0_091081_2020-11-30_final
2020-12-01 08:46:26	ga_ls7e_ard_3-1-0_091082_2020-11-30_final
2020-12-01 08:46:50	ga_ls7e_ard_3-1-0_091083_2020-11-30_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-01 08:47:38	ga_ls7e_ard_3-1-0_091085_2020-11-30_final
2020-12-01 08:48:02	ga_ls7e_ard_3-1-0_091086_2020-11-30_final
2020-12-01 10:20:32	ga_ls7e_ard_3-1-0_107070_2020-12-01_final
2020-12-01 10:21:19	ga_ls7e_ard_3-1-0_107072_2020-12-01_final
2020-12-01 10:21:43	ga_ls7e_ard_3-1-0_107073_2020-12-01_final
2020-12-01 10:22:55	ga_ls7e_ard_3-1-0_107076_2020-12-01_final
2020-12-01 10:23:19	ga_ls7e_ard_3-1-0_107077_2020-12-01_final
2020-12-01 10:23:43	ga_ls7e_ard_3-1-0_107078_2020-12-01_final
2020-12-01 10:24:07	ga_ls7e_ard_3-1-0_107079_2020-12-01_final
2020-12-01 10:24:31	ga_ls7e_ard_3-1-0_107080_2020-12-01_final
2020-12-01 10:24:55	ga_ls7e_ard_3-1-0_107081_2020-12-01_final
2020-12-01 10:25:19	ga_ls7e_ard_3-1-0_107082_2020-12-01_final
2020-12-01 10:25:43	ga_ls7e_ard_3-1-0_107083_2020-12-01_final
2020-12-01 10:26:07	ga_ls7e_ard_3-1-0_107084_2020-12-01_final

Return to ga_ls7e_ard_3 whole collection 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

All years