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

First 100 results (query limit)

Time (local)	Label
2003-02-14 09:33:05	ga_ls7e_ard_3-0-0_095067_2003-02-14_final
2003-02-16 09:23:55	ga_ls7e_ard_3-0-0_093075_2003-02-15_final
2003-02-16 09:24:19	ga_ls7e_ard_3-0-0_093076_2003-02-15_final
2003-02-16 09:24:43	ga_ls7e_ard_3-0-0_093077_2003-02-15_final
2003-02-16 09:25:07	ga_ls7e_ard_3-0-0_093078_2003-02-15_final
2003-02-16 09:25:31	ga_ls7e_ard_3-0-0_093079_2003-02-15_final
2003-02-18 09:14:45	ga_ls7e_ard_3-0-0_091083_2003-02-17_final
2003-02-18 09:15:09	ga_ls7e_ard_3-0-0_091084_2003-02-17_final
2003-02-18 09:15:33	ga_ls7e_ard_3-0-0_091085_2003-02-17_final
2003-02-18 09:15:57	ga_ls7e_ard_3-1-0_091086_2003-02-17_final
2003-02-18 09:16:21	ga_ls7e_ard_3-0-0_091087_2003-02-17_final
2003-02-18 09:16:45	ga_ls7e_ard_3-0-0_091088_2003-02-17_final
2003-03-15 09:10:37	ga_ls7e_ard_3-0-0_090088_2003-03-14_final
2003-03-15 09:11:01	ga_ls7e_ard_3-0-0_090089_2003-03-14_final
2003-03-18 09:33:07	ga_ls7e_ard_3-0-0_095067_2003-03-18_final
2003-03-20 09:23:56	ga_ls7e_ard_3-0-0_093075_2003-03-19_final
2003-03-20 09:24:20	ga_ls7e_ard_3-0-0_093076_2003-03-19_final
2003-03-20 09:24:44	ga_ls7e_ard_3-0-0_093077_2003-03-19_final
2003-03-20 09:25:08	ga_ls7e_ard_3-0-0_093078_2003-03-19_final
2003-03-20 09:25:32	ga_ls7e_ard_3-0-0_093079_2003-03-19_final
2003-03-20 09:25:55	ga_ls7e_ard_3-0-0_093080_2003-03-19_final
2003-05-07 09:24:00	ga_ls7e_ard_3-0-0_093075_2003-05-06_final
2003-05-07 09:24:24	ga_ls7e_ard_3-0-0_093076_2003-05-06_final
2003-05-07 09:24:48	ga_ls7e_ard_3-0-0_093077_2003-05-06_final
2003-05-07 09:25:12	ga_ls7e_ard_3-0-0_093078_2003-05-06_final
2003-05-07 09:25:36	ga_ls7e_ard_3-0-0_093079_2003-05-06_final
2003-05-07 09:25:59	ga_ls7e_ard_3-0-0_093080_2003-05-06_final
2003-11-29 09:33:05	ga_ls7e_ard_3-0-0_095067_2003-11-29_final
2003-12-01 09:23:54	ga_ls7e_ard_3-0-0_093075_2003-11-30_final
2003-12-01 09:24:18	ga_ls7e_ard_3-0-0_093076_2003-11-30_final
2003-12-01 09:24:42	ga_ls7e_ard_3-0-0_093077_2003-11-30_final
2003-12-01 09:25:06	ga_ls7e_ard_3-0-0_093078_2003-11-30_final
2003-12-01 09:25:30	ga_ls7e_ard_3-0-0_093079_2003-11-30_final
2003-12-01 09:25:54	ga_ls7e_ard_3-0-0_093080_2003-11-30_final
2003-12-03 09:15:56	ga_ls7e_ard_3-1-0_091086_2003-12-02_final
2003-12-03 09:16:20	ga_ls7e_ard_3-0-0_091087_2003-12-02_final
2003-12-03 09:16:44	ga_ls7e_ard_3-0-0_091088_2003-12-02_final
2003-12-19 09:14:53	ga_ls7e_ard_3-0-0_091083_2003-12-18_final
2003-12-19 09:15:17	ga_ls7e_ard_3-0-0_091084_2003-12-18_final
2003-12-19 09:15:41	ga_ls7e_ard_3-0-0_091085_2003-12-18_final
2003-12-19 09:16:05	ga_ls7e_ard_3-1-0_091086_2003-12-18_final
2003-12-19 09:16:29	ga_ls7e_ard_3-0-0_091087_2003-12-18_final
2004-05-29 09:05:39	ga_ls7e_ard_3-0-0_089090_2004-05-28_final
2018-04-30 09:35:43	ga_ls7e_ard_3-0-0_093075_2018-04-30_final
2018-04-30 09:36:07	ga_ls7e_ard_3-0-0_093076_2018-04-30_final
2018-04-30 09:36:31	ga_ls7e_ard_3-0-0_093077_2018-04-30_final
2018-04-30 09:36:55	ga_ls7e_ard_3-0-0_093078_2018-04-30_final
2018-04-30 09:37:19	ga_ls7e_ard_3-0-0_093079_2018-04-30_final
2018-04-30 09:37:43	ga_ls7e_ard_3-0-0_093080_2018-04-30_final
2018-04-30 09:38:07	ga_ls7e_ard_3-0-0_093081_2018-04-30_final
2018-05-02 09:26:31	ga_ls7e_ard_3-0-0_091083_2018-05-01_final
2018-05-02 09:26:55	ga_ls7e_ard_3-0-0_091084_2018-05-01_final
2018-05-14 09:44:39	ga_ls7e_ard_3-0-0_095067_2018-05-14_final
2018-05-16 09:35:27	ga_ls7e_ard_3-0-0_093075_2018-05-16_final
2018-05-16 09:35:51	ga_ls7e_ard_3-0-0_093076_2018-05-16_final
2018-05-16 09:36:15	ga_ls7e_ard_3-0-0_093077_2018-05-16_final
2018-05-16 09:36:39	ga_ls7e_ard_3-0-0_093078_2018-05-16_final
2018-05-16 09:37:03	ga_ls7e_ard_3-0-0_093079_2018-05-16_final
2018-05-16 09:37:27	ga_ls7e_ard_3-0-0_093080_2018-05-16_final
2018-05-16 09:37:51	ga_ls7e_ard_3-0-0_093081_2018-05-16_final
2018-05-18 09:26:15	ga_ls7e_ard_3-0-0_091083_2018-05-17_final
2018-05-18 09:26:39	ga_ls7e_ard_3-0-0_091084_2018-05-17_final
2018-05-18 09:27:03	ga_ls7e_ard_3-0-0_091085_2018-05-17_final
2018-05-18 09:27:27	ga_ls7e_ard_3-1-0_091086_2018-05-17_final
2018-07-19 09:34:18	ga_ls7e_ard_3-0-0_093075_2018-07-19_final
2018-07-19 09:34:42	ga_ls7e_ard_3-0-0_093076_2018-07-19_final
2018-07-19 09:35:06	ga_ls7e_ard_3-0-0_093077_2018-07-19_final
2018-07-19 09:35:30	ga_ls7e_ard_3-0-0_093078_2018-07-19_final
2018-07-19 09:35:54	ga_ls7e_ard_3-0-0_093079_2018-07-19_final
2018-07-19 09:36:18	ga_ls7e_ard_3-0-0_093080_2018-07-19_final
2018-07-19 09:36:42	ga_ls7e_ard_3-0-0_093081_2018-07-19_final
2018-08-02 09:43:13	ga_ls7e_ard_3-0-0_095067_2018-08-02_final
2018-08-04 09:34:01	ga_ls7e_ard_3-0-0_093075_2018-08-04_final
2018-08-04 09:34:25	ga_ls7e_ard_3-0-0_093076_2018-08-04_final
2018-08-04 09:34:49	ga_ls7e_ard_3-0-0_093077_2018-08-04_final
2018-08-04 09:35:13	ga_ls7e_ard_3-0-0_093078_2018-08-04_final
2018-08-04 09:35:37	ga_ls7e_ard_3-0-0_093079_2018-08-04_final
2018-08-04 09:36:01	ga_ls7e_ard_3-0-0_093080_2018-08-04_final
2018-08-04 09:36:25	ga_ls7e_ard_3-0-0_093081_2018-08-04_final
2018-08-06 09:25:13	ga_ls7e_ard_3-0-0_091084_2018-08-05_final
2018-08-06 09:26:01	ga_ls7e_ard_3-1-0_091086_2018-08-05_final
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2018-08-15 09:20:52	ga_ls7e_ard_3-0-0_090089_2018-08-14_final
2018-08-15 09:21:16	ga_ls7e_ard_3-0-0_090090_2018-08-14_final
2018-10-02 09:19:25	ga_ls7e_ard_3-0-0_090088_2018-10-01_final
2018-10-02 09:19:49	ga_ls7e_ard_3-0-0_090089_2018-10-01_final
2018-10-02 09:20:13	ga_ls7e_ard_3-0-0_090090_2018-10-01_final
2019-01-13 09:20:56	ga_ls7e_ard_3-0-0_091083_2019-01-12_final
2019-01-13 09:21:20	ga_ls7e_ard_3-0-0_091084_2019-01-12_final
2019-01-13 09:21:44	ga_ls7e_ard_3-0-0_091085_2019-01-12_final
2019-01-13 09:22:08	ga_ls7e_ard_3-1-0_091086_2019-01-12_final
2019-01-13 09:22:32	ga_ls7e_ard_3-0-0_091087_2019-01-12_final
2019-01-13 09:22:56	ga_ls7e_ard_3-0-0_091088_2019-01-12_final
2019-01-13 09:23:20	ga_ls7e_ard_3-0-0_091089_2019-01-12_final
2019-02-10 09:38:24	ga_ls7e_ard_3-0-0_095067_2019-02-10_final
2019-02-12 09:29:10	ga_ls7e_ard_3-0-0_093075_2019-02-11_final
2019-02-12 09:29:34	ga_ls7e_ard_3-0-0_093076_2019-02-11_final
2019-02-12 09:30:22	ga_ls7e_ard_3-0-0_093078_2019-02-12_final
2019-02-12 09:30:46	ga_ls7e_ard_3-0-0_093079_2019-02-12_final
2019-02-12 09:31:10	ga_ls7e_ard_3-0-0_093080_2019-02-12_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