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
2000-06-06 11:13:45	ga_ls7e_ard_3-0-0_110079_2000-06-06_final
2000-06-06 11:14:09	ga_ls7e_ard_3-0-0_110080_2000-06-06_final
2000-06-06 11:14:33	ga_ls7e_ard_3-0-0_110081_2000-06-06_final
2000-06-06 11:14:57	ga_ls7e_ard_3-0-0_110082_2000-06-06_final
2000-06-06 11:15:21	ga_ls7e_ard_3-0-0_110083_2000-06-06_final
2000-06-06 11:15:44	ga_ls7e_ard_3-0-0_110084_2000-06-06_final
2000-06-11 11:27:31	ga_ls7e_ard_3-0-0_113067_2000-06-11_final
2000-11-20 11:16:48	ga_ls7e_ard_3-0-0_111075_2000-11-20_final
2000-11-20 11:17:12	ga_ls7e_ard_3-0-0_111076_2000-11-20_final
2000-11-20 11:17:36	ga_ls7e_ard_3-0-0_111077_2000-11-20_final
2000-11-20 11:18:00	ga_ls7e_ard_3-0-0_111078_2000-11-20_final
2000-11-22 11:07:37	ga_ls7e_ard_3-0-0_109083_2000-11-22_final
2000-11-22 11:08:01	ga_ls7e_ard_3-0-0_109084_2000-11-22_final
2008-04-30 11:25:44	ga_ls7e_ard_3-0-0_113067_2008-04-30_final
2008-07-28 11:21:32	ga_ls7e_ard_3-0-0_112074_2008-07-28_final
2008-07-28 11:21:56	ga_ls7e_ard_3-0-0_112075_2008-07-28_final
2008-07-28 11:22:20	ga_ls7e_ard_3-0-0_112076_2008-07-28_final
2008-09-30 11:21:01	ga_ls7e_ard_3-0-0_112074_2008-09-30_final
2008-09-30 11:21:25	ga_ls7e_ard_3-0-0_112075_2008-09-30_final
2008-12-26 11:25:14	ga_ls7e_ard_3-0-0_113067_2008-12-26_final
2009-03-18 11:16:16	ga_ls7e_ard_3-0-0_111074_2009-03-18_final
2009-03-18 11:16:40	ga_ls7e_ard_3-0-0_111075_2009-03-18_final
2009-03-18 11:17:03	ga_ls7e_ard_3-0-0_111076_2009-03-18_final
2009-03-18 11:17:27	ga_ls7e_ard_3-0-0_111077_2009-03-18_final
2009-03-18 11:17:51	ga_ls7e_ard_3-0-0_111078_2009-03-18_final
2009-03-18 11:18:15	ga_ls7e_ard_3-0-0_111079_2009-03-18_final
2009-03-18 11:18:39	ga_ls7e_ard_3-0-0_111080_2009-03-18_final
2009-03-20 11:07:06	ga_ls7e_ard_3-0-0_109082_2009-03-20_final
2009-03-20 11:07:30	ga_ls7e_ard_3-0-0_109083_2009-03-20_final
2009-03-20 11:07:54	ga_ls7e_ard_3-0-0_109084_2009-03-20_final
2019-10-26 11:01:27	ga_ls7e_ard_3-1-0_109083_2019-10-26_final
2019-12-11 11:08:04	ga_ls7e_ard_3-1-0_111074_2019-12-11_final
2019-12-11 11:08:52	ga_ls7e_ard_3-1-0_111076_2019-12-11_final
2019-12-11 11:09:39	ga_ls7e_ard_3-1-0_111078_2019-12-11_final
2019-12-11 11:10:03	ga_ls7e_ard_3-1-0_111079_2019-12-11_final
2019-12-11 11:10:27	ga_ls7e_ard_3-1-0_111080_2019-12-11_final
2019-12-13 10:59:12	ga_ls7e_ard_3-1-0_109083_2019-12-13_final
2019-12-13 10:59:36	ga_ls7e_ard_3-1-0_109084_2019-12-13_final
2020-05-19 11:00:09	ga_ls7e_ard_3-1-0_111076_2020-05-19_final
2020-05-19 11:00:33	ga_ls7e_ard_3-1-0_111077_2020-05-19_final
2020-05-19 11:00:57	ga_ls7e_ard_3-1-0_111078_2020-05-19_final
2020-05-19 11:01:21	ga_ls7e_ard_3-1-0_111079_2020-05-19_final
2020-05-19 11:01:45	ga_ls7e_ard_3-1-0_111080_2020-05-19_final
2020-05-21 10:50:28	ga_ls7e_ard_3-1-0_109083_2020-05-21_final
2020-05-21 10:50:52	ga_ls7e_ard_3-1-0_109084_2020-05-21_final
2021-09-18 10:29:28	ga_ls7e_ard_3-2-0_112074_2021-09-18_final
2021-09-18 10:29:52	ga_ls7e_ard_3-2-0_112075_2021-09-18_final
2021-09-18 10:30:16	ga_ls7e_ard_3-2-0_112076_2021-09-18_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-20 10:19:19	ga_ls7e_ard_3-2-0_110080_2021-09-20_final
2021-09-20 10:19:43	ga_ls7e_ard_3-2-0_110081_2021-09-20_final
2021-09-20 10:20:07	ga_ls7e_ard_3-2-0_110082_2021-09-20_final
2021-09-20 10:20:31	ga_ls7e_ard_3-2-0_110083_2021-09-20_final
2021-11-07 10:14:35	ga_ls7e_ard_3-2-0_110079_2021-11-07_final
2021-11-07 10:14:59	ga_ls7e_ard_3-2-0_110080_2021-11-07_final
2021-11-07 10:15:23	ga_ls7e_ard_3-2-0_110081_2021-11-07_final
2021-11-07 10:15:47	ga_ls7e_ard_3-2-0_110082_2021-11-07_final
2021-11-07 10:16:11	ga_ls7e_ard_3-2-0_110083_2021-11-07_final
2021-11-07 10:16:35	ga_ls7e_ard_3-2-0_110084_2021-11-07_final
2021-11-14 10:18:06	ga_ls7e_ard_3-2-1_111074_2021-11-14_final
2021-11-14 10:18:29	ga_ls7e_ard_3-2-1_111075_2021-11-14_final
2021-11-14 10:18:53	ga_ls7e_ard_3-2-1_111076_2021-11-14_final
2021-11-14 10:19:17	ga_ls7e_ard_3-2-1_111077_2021-11-14_final
2021-11-14 10:19:41	ga_ls7e_ard_3-2-1_111078_2021-11-14_final
2021-11-14 10:20:05	ga_ls7e_ard_3-2-1_111079_2021-11-14_final
2021-11-14 10:20:29	ga_ls7e_ard_3-2-1_111080_2021-11-14_final
2021-11-16 10:09:08	ga_ls7e_ard_3-2-1_109083_2021-11-16_final
2021-11-16 10:09:32	ga_ls7e_ard_3-2-1_109084_2021-11-16_final
2021-11-21 10:23:35	ga_ls7e_ard_3-2-1_112074_2021-11-21_final
2021-11-21 10:23:59	ga_ls7e_ard_3-2-1_112075_2021-11-21_final
2021-11-21 10:24:23	ga_ls7e_ard_3-2-1_112076_2021-11-21_final
2021-11-23 10:13:01	ga_ls7e_ard_3-2-1_110079_2021-11-23_final
2021-11-23 10:13:25	ga_ls7e_ard_3-2-1_110080_2021-11-23_final
2021-11-23 10:13:49	ga_ls7e_ard_3-2-1_110081_2021-11-23_final
2021-11-23 10:14:13	ga_ls7e_ard_3-2-1_110082_2021-11-23_final
2021-11-23 10:14:37	ga_ls7e_ard_3-2-1_110083_2021-11-23_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-11-30 10:16:57	ga_ls7e_ard_3-2-1_111075_2021-11-30_final
2021-11-30 10:17:21	ga_ls7e_ard_3-2-1_111076_2021-11-30_final
2021-11-30 10:17:45	ga_ls7e_ard_3-2-1_111077_2021-11-30_final
2021-11-30 10:18:09	ga_ls7e_ard_3-2-1_111078_2021-11-30_final
2021-11-30 10:18:33	ga_ls7e_ard_3-2-1_111079_2021-11-30_final
2021-11-30 10:18:57	ga_ls7e_ard_3-2-1_111080_2021-11-30_final
2021-12-02 10:07:36	ga_ls7e_ard_3-2-1_109083_2021-12-02_final
2021-12-07 10:22:05	ga_ls7e_ard_3-2-1_112074_2021-12-07_final
2021-12-07 10:22:29	ga_ls7e_ard_3-2-1_112075_2021-12-07_final
2021-12-07 10:22:53	ga_ls7e_ard_3-2-1_112076_2021-12-07_final
2021-12-09 10:11:32	ga_ls7e_ard_3-2-1_110079_2021-12-09_final
2021-12-09 10:11:55	ga_ls7e_ard_3-2-1_110080_2021-12-09_final
2021-12-09 10:12:19	ga_ls7e_ard_3-2-1_110081_2021-12-09_final
2021-12-09 10:12:43	ga_ls7e_ard_3-2-1_110082_2021-12-09_final
2021-12-09 10:13:07	ga_ls7e_ard_3-2-1_110083_2021-12-09_final
2021-12-16 10:15:02	ga_ls7e_ard_3-2-1_111074_2021-12-16_final
2021-12-16 10:15:26	ga_ls7e_ard_3-2-1_111075_2021-12-16_final
2021-12-16 10:15:50	ga_ls7e_ard_3-2-1_111076_2021-12-16_final
2021-12-16 10:16:14	ga_ls7e_ard_3-2-1_111077_2021-12-16_final
2021-12-16 10:16:38	ga_ls7e_ard_3-2-1_111078_2021-12-16_final
2021-12-16 10:17:02	ga_ls7e_ard_3-2-1_111079_2021-12-16_final
2021-12-16 10:17:26	ga_ls7e_ard_3-2-1_111080_2021-12-16_final
2021-12-18 10:06:05	ga_ls7e_ard_3-2-1_109083_2021-12-18_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