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
2003-12-22 11:21:07	ga_ls7e_ard_3-0-0_112074_2003-12-22_final
2003-12-22 11:21:31	ga_ls7e_ard_3-0-0_112075_2003-12-22_final
2003-12-22 11:21:55	ga_ls7e_ard_3-0-0_112076_2003-12-22_final
2003-12-22 11:22:19	ga_ls7e_ard_3-0-0_112077_2003-12-22_final
2003-12-22 11:22:43	ga_ls7e_ard_3-0-0_112078_2003-12-22_final
2003-12-24 11:11:34	ga_ls7e_ard_3-0-0_110081_2003-12-24_final
2003-12-24 11:11:58	ga_ls7e_ard_3-0-0_110082_2003-12-24_final
2003-12-24 11:12:22	ga_ls7e_ard_3-0-0_110083_2003-12-24_final
2003-12-24 11:12:46	ga_ls7e_ard_3-0-0_110084_2003-12-24_final
2003-12-31 11:16:11	ga_ls7e_ard_3-0-0_111077_2003-12-31_final
2003-12-31 11:16:35	ga_ls7e_ard_3-0-0_111078_2003-12-31_final
2003-12-31 11:16:59	ga_ls7e_ard_3-0-0_111079_2003-12-31_final
2003-12-31 11:17:23	ga_ls7e_ard_3-0-0_111080_2003-12-31_final
2003-12-31 11:17:47	ga_ls7e_ard_3-0-0_111081_2003-12-31_final
2003-12-31 11:18:11	ga_ls7e_ard_3-1-0_111082_2003-12-31_final
2004-02-10 11:11:49	ga_ls7e_ard_3-0-0_110081_2004-02-10_final
2004-02-10 11:12:13	ga_ls7e_ard_3-0-0_110082_2004-02-10_final
2004-02-10 11:12:37	ga_ls7e_ard_3-0-0_110083_2004-02-10_final
2004-03-22 11:07:00	ga_ls7e_ard_3-0-0_109084_2004-03-22_final
2004-04-26 11:30:58	ga_ls7e_ard_3-0-0_114067_2004-04-26_final
2004-06-01 11:12:38	ga_ls7e_ard_3-0-0_110083_2004-06-01_final
2004-06-01 11:13:02	ga_ls7e_ard_3-0-0_110084_2004-06-01_final
2004-06-17 11:11:43	ga_ls7e_ard_3-1-0_110081_2004-06-17_final
2004-06-29 11:30:51	ga_ls7e_ard_3-0-0_114067_2004-06-29_final
2017-12-12 11:34:40	ga_ls7e_ard_3-0-0_112074_2017-12-12_final
2017-12-12 11:35:04	ga_ls7e_ard_3-0-0_112075_2017-12-12_final
2017-12-12 11:35:28	ga_ls7e_ard_3-0-0_112076_2017-12-12_final
2017-12-12 11:35:52	ga_ls7e_ard_3-1-0_112077_2017-12-12_final
2017-12-12 11:36:15	ga_ls7e_ard_3-0-0_112078_2017-12-12_final
2019-07-25 11:29:55	ga_ls7e_ard_3-0-0_114067_2019-07-25_final
2019-07-27 11:20:16	ga_ls7e_ard_3-0-0_112074_2019-07-27_final
2019-07-27 11:20:40	ga_ls7e_ard_3-0-0_112075_2019-07-27_final
2019-07-27 11:21:04	ga_ls7e_ard_3-0-0_112076_2019-07-27_final
2019-07-27 11:21:28	ga_ls7e_ard_3-1-0_112077_2019-07-27_final
2019-07-29 11:10:37	ga_ls7e_ard_3-0-0_110081_2019-07-29_final
2019-07-29 11:11:25	ga_ls7e_ard_3-0-0_110083_2019-07-29_final
2019-07-29 11:11:49	ga_ls7e_ard_3-0-0_110084_2019-07-29_final
2019-09-20 11:24:06	ga_ls7e_ard_3-1-0_113074_2019-09-20_final
2019-09-22 11:12:51	ga_ls7e_ard_3-1-0_111077_2019-09-22_final
2019-09-22 11:13:15	ga_ls7e_ard_3-1-0_111078_2019-09-22_final
2019-09-22 11:13:39	ga_ls7e_ard_3-1-0_111079_2019-09-22_final
2019-09-22 11:14:03	ga_ls7e_ard_3-1-0_111080_2019-09-22_final
2019-09-22 11:14:27	ga_ls7e_ard_3-1-0_111081_2019-09-22_final
2019-09-22 11:14:51	ga_ls7e_ard_3-1-0_111082_2019-09-22_final
2019-09-22 11:15:15	ga_ls7e_ard_3-1-0_111083_2019-09-22_final
2019-10-01 11:07:53	ga_ls7e_ard_3-1-0_110081_2019-10-01_final
2019-10-01 11:08:17	ga_ls7e_ard_3-1-0_110082_2019-10-01_final
2019-10-01 11:08:41	ga_ls7e_ard_3-1-0_110083_2019-10-01_final
2019-10-01 11:09:05	ga_ls7e_ard_3-1-0_110084_2019-10-01_final
2019-10-22 11:19:58	ga_ls7e_ard_3-1-0_113067_2019-10-22_final
2019-10-22 11:22:45	ga_ls7e_ard_3-1-0_113074_2019-10-22_final
2019-12-27 11:08:26	ga_ls7e_ard_3-1-0_111077_2019-12-27_final
2019-12-27 11:08:50	ga_ls7e_ard_3-1-0_111078_2019-12-27_final
2019-12-27 11:09:14	ga_ls7e_ard_3-1-0_111079_2019-12-27_final
2019-12-27 11:09:38	ga_ls7e_ard_3-1-0_111080_2019-12-27_final
2019-12-27 11:10:02	ga_ls7e_ard_3-1-0_111081_2019-12-27_final
2019-12-27 11:10:26	ga_ls7e_ard_3-1-0_111082_2019-12-27_final
2019-12-27 11:10:50	ga_ls7e_ard_3-1-0_111083_2019-12-27_final
2020-01-19 11:12:15	ga_ls7e_ard_3-1-0_112074_2020-01-19_final
2020-01-19 11:12:39	ga_ls7e_ard_3-1-0_112075_2020-01-19_final
2020-01-19 11:13:03	ga_ls7e_ard_3-1-0_112076_2020-01-19_final
2020-01-19 11:13:27	ga_ls7e_ard_3-1-0_112077_2020-01-19_final
2020-01-19 11:13:51	ga_ls7e_ard_3-1-0_112078_2020-01-19_final
2020-01-21 11:02:36	ga_ls7e_ard_3-1-0_110081_2020-01-21_final
2020-01-21 11:02:59	ga_ls7e_ard_3-1-0_110082_2020-01-21_final
2020-01-21 11:03:23	ga_ls7e_ard_3-1-0_110083_2020-01-21_final
2020-01-21 11:03:47	ga_ls7e_ard_3-1-0_110084_2020-01-21_final
2020-01-26 11:15:18	ga_ls7e_ard_3-1-0_113067_2020-01-26_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-02-27 11:13:39	ga_ls7e_ard_3-1-0_113067_2020-02-27_final
2020-02-27 11:16:26	ga_ls7e_ard_3-1-0_113074_2020-02-27_final
2020-06-02 11:10:52	ga_ls7e_ard_3-1-0_113074_2020-06-02_final
2020-06-04 10:59:36	ga_ls7e_ard_3-1-0_111077_2020-06-04_final
2020-06-04 11:00:00	ga_ls7e_ard_3-1-0_111078_2020-06-04_final
2020-06-04 11:00:24	ga_ls7e_ard_3-1-0_111079_2020-06-04_final
2020-06-04 11:00:48	ga_ls7e_ard_3-1-0_111080_2020-06-04_final
2020-06-04 11:01:12	ga_ls7e_ard_3-1-0_111081_2020-06-04_final
2020-06-04 11:01:35	ga_ls7e_ard_3-1-0_111082_2020-06-04_final
2020-06-04 11:01:59	ga_ls7e_ard_3-1-0_111083_2020-06-04_final
2020-07-22 10:56:44	ga_ls7e_ard_3-1-0_111077_2020-07-22_final
2020-07-22 10:57:08	ga_ls7e_ard_3-1-0_111078_2020-07-22_final
2020-07-22 10:57:32	ga_ls7e_ard_3-1-0_111079_2020-07-22_final
2020-07-22 10:57:56	ga_ls7e_ard_3-1-0_111080_2020-07-22_final
2020-07-22 10:58:20	ga_ls7e_ard_3-1-0_111081_2020-07-22_final
2020-07-22 10:58:44	ga_ls7e_ard_3-1-0_111082_2020-07-22_final
2020-07-22 10:59:07	ga_ls7e_ard_3-1-0_111083_2020-07-22_final
2020-08-07 10:55:44	ga_ls7e_ard_3-1-0_111077_2020-08-07_final
2020-08-07 10:56:08	ga_ls7e_ard_3-1-0_111078_2020-08-07_final
2020-08-07 10:56:32	ga_ls7e_ard_3-1-0_111079_2020-08-07_final
2020-08-07 10:56:56	ga_ls7e_ard_3-1-0_111080_2020-08-07_final
2020-08-07 10:57:20	ga_ls7e_ard_3-1-0_111081_2020-08-07_final
2020-08-07 10:57:44	ga_ls7e_ard_3-1-0_111082_2020-08-07_final
2020-08-07 10:58:08	ga_ls7e_ard_3-1-0_111083_2020-08-07_final
2020-08-12 11:09:58	ga_ls7e_ard_3-1-0_114067_2020-08-12_final
2020-12-18 11:01:19	ga_ls7e_ard_3-1-0_114067_2020-12-18_final
2020-12-20 10:51:36	ga_ls7e_ard_3-1-0_112074_2020-12-20_final
2020-12-20 10:51:59	ga_ls7e_ard_3-1-0_112075_2020-12-20_final
2020-12-20 10:52:23	ga_ls7e_ard_3-1-0_112076_2020-12-20_final
2020-12-20 10:52:47	ga_ls7e_ard_3-1-0_112077_2020-12-20_final
2020-12-20 10:53:11	ga_ls7e_ard_3-1-0_112078_2020-12-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years