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
2006-06-30 11:15:12	ga_ls7e_ard_3-0-0_111072_2006-06-30_final
2006-06-30 11:15:36	ga_ls7e_ard_3-0-0_111073_2006-06-30_final
2006-06-30 11:16:00	ga_ls7e_ard_3-0-0_111074_2006-06-30_final
2006-06-30 11:16:24	ga_ls7e_ard_3-0-0_111075_2006-06-30_final
2006-06-30 11:16:48	ga_ls7e_ard_3-0-0_111076_2006-06-30_final
2006-06-30 11:17:12	ga_ls7e_ard_3-0-0_111077_2006-06-30_final
2006-06-30 11:17:35	ga_ls7e_ard_3-0-0_111078_2006-06-30_final
2006-07-02 11:06:25	ga_ls7e_ard_3-1-0_109081_2006-07-02_final
2006-07-02 11:06:49	ga_ls7e_ard_3-0-0_109082_2006-07-02_final
2006-07-02 11:07:13	ga_ls7e_ard_3-0-0_109083_2006-07-02_final
2006-07-02 11:07:37	ga_ls7e_ard_3-0-0_109084_2006-07-02_final
2006-10-27 11:19:09	ga_ls7e_ard_3-0-0_112067_2006-10-27_final
2006-10-29 11:12:00	ga_ls7e_ard_3-0-0_110080_2006-10-29_final
2006-10-29 11:12:24	ga_ls7e_ard_3-0-0_110081_2006-10-29_final
2006-10-29 11:12:48	ga_ls7e_ard_3-0-0_110082_2006-10-29_final
2006-11-03 11:25:26	ga_ls7e_ard_3-0-0_113067_2006-11-03_final
2006-12-05 11:25:46	ga_ls7e_ard_3-0-0_113067_2006-12-05_final
2006-12-07 11:15:25	ga_ls7e_ard_3-0-0_111072_2006-12-07_final
2006-12-07 11:15:49	ga_ls7e_ard_3-0-0_111073_2006-12-07_final
2006-12-07 11:16:13	ga_ls7e_ard_3-0-0_111074_2006-12-07_final
2006-12-07 11:16:37	ga_ls7e_ard_3-0-0_111075_2006-12-07_final
2006-12-07 11:17:01	ga_ls7e_ard_3-0-0_111076_2006-12-07_final
2006-12-07 11:17:25	ga_ls7e_ard_3-0-0_111077_2006-12-07_final
2006-12-07 11:17:49	ga_ls7e_ard_3-0-0_111078_2006-12-07_final
2006-12-09 11:06:39	ga_ls7e_ard_3-1-0_109081_2006-12-09_final
2006-12-09 11:07:03	ga_ls7e_ard_3-0-0_109082_2006-12-09_final
2006-12-09 11:07:27	ga_ls7e_ard_3-0-0_109083_2006-12-09_final
2006-12-09 11:07:51	ga_ls7e_ard_3-0-0_109084_2006-12-09_final
2006-12-14 11:19:38	ga_ls7e_ard_3-0-0_112067_2006-12-14_final
2007-02-02 11:11:03	ga_ls7e_ard_3-0-0_110076_2007-02-02_final
2007-02-02 11:11:27	ga_ls7e_ard_3-0-0_110077_2007-02-02_final
2007-02-02 11:11:51	ga_ls7e_ard_3-0-0_110078_2007-02-02_final
2007-02-02 11:12:15	ga_ls7e_ard_3-0-0_110079_2007-02-02_final
2007-02-02 11:12:39	ga_ls7e_ard_3-0-0_110080_2007-02-02_final
2007-02-02 11:13:03	ga_ls7e_ard_3-0-0_110081_2007-02-02_final
2007-02-02 11:13:27	ga_ls7e_ard_3-0-0_110082_2007-02-02_final
2007-02-07 11:26:02	ga_ls7e_ard_3-0-0_113067_2007-02-07_final
2016-06-27 11:19:05	ga_ls7e_ard_3-1-0_109081_2016-06-27_final
2016-06-27 11:19:29	ga_ls7e_ard_3-0-0_109082_2016-06-27_final
2016-06-27 11:19:53	ga_ls7e_ard_3-0-0_109083_2016-06-27_final
2016-06-27 11:20:17	ga_ls7e_ard_3-0-0_109084_2016-06-27_final
2016-11-25 11:23:14	ga_ls7e_ard_3-0-0_110076_2016-11-25_final
2016-11-25 11:23:38	ga_ls7e_ard_3-0-0_110077_2016-11-25_final
2016-11-25 11:24:01	ga_ls7e_ard_3-0-0_110078_2016-11-25_final
2016-11-25 11:24:25	ga_ls7e_ard_3-0-0_110079_2016-11-25_final
2016-11-25 11:24:49	ga_ls7e_ard_3-0-0_110080_2016-11-25_final
2016-11-25 11:25:13	ga_ls7e_ard_3-0-0_110081_2016-11-25_final
2016-11-25 11:25:37	ga_ls7e_ard_3-0-0_110082_2016-11-25_final
2016-11-27 11:14:03	ga_ls7e_ard_3-0-0_108084_2016-11-27_final
2016-11-30 11:38:10	ga_ls7e_ard_3-0-0_113067_2016-11-30_final
2016-12-02 11:27:47	ga_ls7e_ard_3-0-0_111072_2016-12-02_final
2016-12-02 11:28:11	ga_ls7e_ard_3-0-0_111073_2016-12-02_final
2016-12-02 11:28:35	ga_ls7e_ard_3-0-0_111074_2016-12-02_final
2016-12-02 11:28:59	ga_ls7e_ard_3-0-0_111075_2016-12-02_final
2016-12-02 11:29:23	ga_ls7e_ard_3-0-0_111076_2016-12-02_final
2016-12-02 11:29:47	ga_ls7e_ard_3-0-0_111077_2016-12-02_final
2016-12-02 11:30:11	ga_ls7e_ard_3-0-0_111078_2016-12-02_final
2017-01-01 11:37:57	ga_ls7e_ard_3-0-0_113067_2017-01-01_final
2017-01-03 11:27:58	ga_ls7e_ard_3-0-0_111073_2017-01-03_final
2017-01-03 11:28:21	ga_ls7e_ard_3-0-0_111074_2017-01-03_final
2017-01-03 11:28:45	ga_ls7e_ard_3-0-0_111075_2017-01-03_final
2017-01-03 11:29:09	ga_ls7e_ard_3-0-0_111076_2017-01-03_final
2017-01-03 11:29:33	ga_ls7e_ard_3-0-0_111077_2017-01-03_final
2017-01-03 11:29:57	ga_ls7e_ard_3-0-0_111078_2017-01-03_final
2017-01-14 11:13:42	ga_ls7e_ard_3-0-0_108084_2017-01-14_final
2017-01-19 11:28:59	ga_ls7e_ard_3-0-0_111076_2017-01-19_final
2017-01-19 11:29:23	ga_ls7e_ard_3-0-0_111077_2017-01-19_final
2017-01-19 11:29:47	ga_ls7e_ard_3-0-0_111078_2017-01-19_final
2017-11-19 11:27:52	ga_ls7e_ard_3-0-0_111072_2017-11-19_final
2017-11-19 11:28:16	ga_ls7e_ard_3-0-0_111073_2017-11-19_final
2017-11-19 11:28:39	ga_ls7e_ard_3-0-0_111074_2017-11-19_final
2017-11-19 11:29:03	ga_ls7e_ard_3-0-0_111075_2017-11-19_final
2017-11-21 11:18:41	ga_ls7e_ard_3-0-0_109080_2017-11-21_final
2017-11-21 11:19:05	ga_ls7e_ard_3-1-0_109081_2017-11-21_final
2017-11-21 11:19:29	ga_ls7e_ard_3-0-0_109082_2017-11-21_final
2017-11-21 11:20:17	ga_ls7e_ard_3-0-0_109084_2017-11-21_final
2017-11-30 11:14:02	ga_ls7e_ard_3-0-0_108084_2017-11-30_final
2017-12-12 11:31:52	ga_ls7e_ard_3-0-0_112067_2017-12-12_final
2018-08-09 11:28:09	ga_ls7e_ard_3-0-0_112067_2018-08-09_final
2018-08-11 11:19:45	ga_ls7e_ard_3-0-0_110077_2018-08-11_final
2018-08-11 11:20:09	ga_ls7e_ard_3-0-0_110078_2018-08-11_final
2018-08-11 11:20:33	ga_ls7e_ard_3-0-0_110079_2018-08-11_final
2018-08-11 11:20:57	ga_ls7e_ard_3-0-0_110080_2018-08-11_final
2018-08-11 11:21:21	ga_ls7e_ard_3-0-0_110081_2018-08-11_final
2018-08-11 11:21:45	ga_ls7e_ard_3-0-0_110082_2018-08-11_final
2018-08-13 11:10:09	ga_ls7e_ard_3-0-0_108084_2018-08-13_final
2018-10-07 11:14:19	ga_ls7e_ard_3-0-0_109082_2018-10-07_final
2018-11-01 11:08:22	ga_ls7e_ard_3-0-0_108084_2018-11-01_final
2019-02-12 11:10:26	ga_ls7e_ard_3-1-0_109081_2019-02-12_final
2019-02-12 11:10:50	ga_ls7e_ard_3-0-0_109082_2019-02-12_final
2019-02-12 11:11:14	ga_ls7e_ard_3-0-0_109083_2019-02-12_final
2019-05-01 11:16:35	ga_ls7e_ard_3-0-0_111072_2019-05-01_final
2019-05-01 11:16:58	ga_ls7e_ard_3-0-0_111073_2019-05-01_final
2019-05-01 11:17:22	ga_ls7e_ard_3-0-0_111074_2019-05-01_final
2019-05-01 11:17:46	ga_ls7e_ard_3-0-0_111075_2019-05-01_final
2019-05-01 11:18:10	ga_ls7e_ard_3-0-0_111076_2019-05-01_final
2019-05-01 11:18:34	ga_ls7e_ard_3-0-0_111077_2019-05-01_final
2019-05-01 11:18:58	ga_ls7e_ard_3-0-0_111078_2019-05-01_final
2019-05-15 11:26:24	ga_ls7e_ard_3-0-0_113067_2019-05-15_final
2019-06-16 11:25:14	ga_ls7e_ard_3-0-0_113067_2019-06-16_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