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
2017-04-14 11:44:10	ga_ls7e_ard_3-0-0_114067_2017-04-14_final
2017-04-16 11:34:37	ga_ls7e_ard_3-0-0_112074_2017-04-16_final
2017-04-16 11:35:01	ga_ls7e_ard_3-0-0_112075_2017-04-16_final
2017-04-16 11:35:25	ga_ls7e_ard_3-0-0_112076_2017-04-16_final
2017-04-16 11:35:49	ga_ls7e_ard_3-0-0_112077_2017-04-16_final
2017-04-16 11:36:13	ga_ls7e_ard_3-0-0_112078_2017-04-16_final
2017-04-18 11:25:04	ga_ls7e_ard_3-0-0_110081_2017-04-18_final
2017-04-18 11:25:28	ga_ls7e_ard_3-0-0_110082_2017-04-18_final
2017-05-16 11:44:19	ga_ls7e_ard_3-0-0_114067_2017-05-16_final
2017-06-12 11:29:29	ga_ls7e_ard_3-0-0_111076_2017-06-12_final
2017-06-12 11:29:53	ga_ls7e_ard_3-0-0_111077_2017-06-12_final
2017-06-12 11:30:17	ga_ls7e_ard_3-0-0_111078_2017-06-12_final
2017-06-12 11:30:41	ga_ls7e_ard_3-0-0_111079_2017-06-12_final
2017-06-12 11:31:05	ga_ls7e_ard_3-0-0_111080_2017-06-12_final
2017-06-12 11:31:29	ga_ls7e_ard_3-0-0_111081_2017-06-12_final
2017-06-17 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-06-17_final
2017-06-19 11:34:54	ga_ls7e_ard_3-0-0_112074_2017-06-19_final
2017-06-19 11:35:18	ga_ls7e_ard_3-0-0_112075_2017-06-19_final
2017-06-19 11:35:41	ga_ls7e_ard_3-0-0_112076_2017-06-19_final
2017-06-19 11:36:05	ga_ls7e_ard_3-1-0_112077_2017-06-19_final
2017-06-19 11:36:29	ga_ls7e_ard_3-0-0_112078_2017-06-19_final
2017-06-28 11:29:32	ga_ls7e_ard_3-0-0_111076_2017-06-28_final
2017-06-28 11:29:56	ga_ls7e_ard_3-0-0_111077_2017-06-28_final
2017-06-28 11:30:20	ga_ls7e_ard_3-0-0_111078_2017-06-28_final
2017-06-28 11:30:44	ga_ls7e_ard_3-0-0_111079_2017-06-28_final
2017-06-28 11:31:08	ga_ls7e_ard_3-0-0_111080_2017-06-28_final
2017-06-28 11:31:32	ga_ls7e_ard_3-0-0_111081_2017-06-28_final
2017-06-28 11:31:56	ga_ls7e_ard_3-1-0_111082_2017-06-28_final
2017-06-30 11:20:22	ga_ls7e_ard_3-0-0_109084_2017-06-30_final
2017-08-04 11:44:28	ga_ls7e_ard_3-0-0_114067_2017-08-04_final
2017-08-06 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-08-06_final
2017-08-06 11:35:17	ga_ls7e_ard_3-0-0_112075_2017-08-06_final
2017-08-06 11:35:41	ga_ls7e_ard_3-0-0_112076_2017-08-06_final
2017-08-06 11:36:05	ga_ls7e_ard_3-0-0_112077_2017-08-06_final
2017-08-06 11:36:29	ga_ls7e_ard_3-0-0_112078_2017-08-06_final
2017-09-16 11:29:28	ga_ls7e_ard_3-0-0_111076_2017-09-16_final
2017-09-16 11:29:52	ga_ls7e_ard_3-0-0_111077_2017-09-16_final
2017-09-16 11:30:16	ga_ls7e_ard_3-0-0_111078_2017-09-16_final
2017-09-16 11:30:39	ga_ls7e_ard_3-0-0_111079_2017-09-16_final
2017-09-16 11:31:03	ga_ls7e_ard_3-0-0_111080_2017-09-16_final
2017-09-16 11:31:27	ga_ls7e_ard_3-0-0_111081_2017-09-16_final
2017-09-16 11:31:51	ga_ls7e_ard_3-1-0_111082_2017-09-16_final
2017-09-18 11:20:17	ga_ls7e_ard_3-0-0_109084_2017-09-18_final
2017-10-02 11:29:29	ga_ls7e_ard_3-0-0_111076_2017-10-02_final
2017-10-02 11:29:53	ga_ls7e_ard_3-0-0_111077_2017-10-02_final
2017-10-02 11:30:17	ga_ls7e_ard_3-0-0_111078_2017-10-02_final
2017-10-02 11:30:41	ga_ls7e_ard_3-0-0_111079_2017-10-02_final
2017-10-02 11:31:05	ga_ls7e_ard_3-0-0_111080_2017-10-02_final
2017-10-02 11:31:29	ga_ls7e_ard_3-0-0_111081_2017-10-02_final
2017-10-02 11:31:52	ga_ls7e_ard_3-1-0_111082_2017-10-02_final
2017-12-03 11:38:08	ga_ls7e_ard_3-0-0_113067_2017-12-03_final
2017-12-05 11:30:32	ga_ls7e_ard_3-0-0_111079_2017-12-05_final
2017-12-05 11:30:56	ga_ls7e_ard_3-0-0_111080_2017-12-05_final
2017-12-05 11:31:20	ga_ls7e_ard_3-0-0_111081_2017-12-05_final
2017-12-05 11:31:44	ga_ls7e_ard_3-1-0_111082_2017-12-05_final
2017-12-07 11:20:10	ga_ls7e_ard_3-0-0_109084_2017-12-07_final
2018-01-06 11:28:59	ga_ls7e_ard_3-0-0_111076_2018-01-06_final
2018-01-06 11:29:23	ga_ls7e_ard_3-0-0_111077_2018-01-06_final
2018-01-06 11:29:47	ga_ls7e_ard_3-0-0_111078_2018-01-06_final
2018-01-06 11:30:11	ga_ls7e_ard_3-0-0_111079_2018-01-06_final
2018-01-06 11:30:35	ga_ls7e_ard_3-0-0_111080_2018-01-06_final
2018-01-06 11:30:59	ga_ls7e_ard_3-0-0_111081_2018-01-06_final
2018-01-06 11:31:23	ga_ls7e_ard_3-1-0_111082_2018-01-06_final
2018-01-08 11:19:47	ga_ls7e_ard_3-0-0_109084_2018-01-08_final
2018-02-09 11:19:17	ga_ls7e_ard_3-0-0_109084_2018-02-09_final
2018-02-23 11:28:19	ga_ls7e_ard_3-0-0_111076_2018-02-23_final
2018-02-23 11:28:43	ga_ls7e_ard_3-0-0_111077_2018-02-23_final
2018-02-23 11:29:07	ga_ls7e_ard_3-0-0_111078_2018-02-23_final
2018-02-23 11:29:31	ga_ls7e_ard_3-0-0_111079_2018-02-23_final
2018-02-23 11:29:55	ga_ls7e_ard_3-0-0_111080_2018-02-23_final
2018-02-23 11:30:19	ga_ls7e_ard_3-0-0_111081_2018-02-23_final
2018-02-23 11:30:43	ga_ls7e_ard_3-1-0_111082_2018-02-23_final
2018-03-16 11:43:02	ga_ls7e_ard_3-0-0_114067_2018-03-16_final
2018-03-18 11:33:26	ga_ls7e_ard_3-0-0_112074_2018-03-18_final
2018-03-18 11:33:50	ga_ls7e_ard_3-0-0_112075_2018-03-18_final
2018-03-18 11:34:14	ga_ls7e_ard_3-0-0_112076_2018-03-18_final
2018-03-18 11:34:38	ga_ls7e_ard_3-0-0_112077_2018-03-18_final
2018-03-18 11:35:02	ga_ls7e_ard_3-0-0_112078_2018-03-18_final
2018-03-20 11:23:50	ga_ls7e_ard_3-0-0_110081_2018-03-20_final
2018-03-20 11:24:14	ga_ls7e_ard_3-0-0_110082_2018-03-20_final
2018-03-20 11:24:38	ga_ls7e_ard_3-0-0_110083_2018-03-20_final
2018-03-20 11:25:02	ga_ls7e_ard_3-0-0_110084_2018-03-20_final
2018-04-12 11:27:41	ga_ls7e_ard_3-0-0_111076_2018-04-12_final
2018-04-12 11:28:05	ga_ls7e_ard_3-0-0_111077_2018-04-12_final
2018-04-12 11:28:29	ga_ls7e_ard_3-0-0_111078_2018-04-12_final
2018-04-12 11:28:53	ga_ls7e_ard_3-0-0_111079_2018-04-12_final
2018-04-12 11:29:16	ga_ls7e_ard_3-0-0_111080_2018-04-12_final
2018-04-12 11:29:40	ga_ls7e_ard_3-0-0_111081_2018-04-12_final
2018-04-12 11:30:04	ga_ls7e_ard_3-1-0_111082_2018-04-12_final
2018-05-19 11:42:00	ga_ls7e_ard_3-0-0_114067_2018-05-19_final
2018-05-21 11:32:24	ga_ls7e_ard_3-0-0_112074_2018-05-21_final
2018-05-21 11:32:48	ga_ls7e_ard_3-0-0_112075_2018-05-21_final
2018-05-21 11:33:12	ga_ls7e_ard_3-0-0_112076_2018-05-21_final
2018-05-21 11:33:36	ga_ls7e_ard_3-0-0_112077_2018-05-21_final
2018-05-21 11:34:00	ga_ls7e_ard_3-0-0_112078_2018-05-21_final
2018-05-23 11:22:48	ga_ls7e_ard_3-0-0_110081_2018-05-23_final
2018-05-23 11:23:12	ga_ls7e_ard_3-0-0_110082_2018-05-23_final
2018-05-23 11:23:36	ga_ls7e_ard_3-0-0_110083_2018-05-23_final
2018-05-23 11:24:00	ga_ls7e_ard_3-0-0_110084_2018-05-23_final
2018-06-29 11:35:06	ga_ls7e_ard_3-0-0_113067_2018-06-29_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