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
2015-08-24 11:35:30	ga_ls7e_ard_3-0-0_113067_2015-08-24_final
2015-08-26 11:25:08	ga_ls7e_ard_3-0-0_111072_2015-08-26_final
2015-08-26 11:25:32	ga_ls7e_ard_3-0-0_111073_2015-08-26_final
2015-08-26 11:25:56	ga_ls7e_ard_3-0-0_111074_2015-08-26_final
2015-08-26 11:26:20	ga_ls7e_ard_3-0-0_111075_2015-08-26_final
2015-08-26 11:26:44	ga_ls7e_ard_3-0-0_111076_2015-08-26_final
2015-08-26 11:27:08	ga_ls7e_ard_3-0-0_111077_2015-08-26_final
2015-08-26 11:27:32	ga_ls7e_ard_3-0-0_111078_2015-08-26_final
2015-09-11 11:25:12	ga_ls7e_ard_3-0-0_111072_2015-09-11_final
2015-09-11 11:25:35	ga_ls7e_ard_3-0-0_111073_2015-09-11_final
2015-09-11 11:25:59	ga_ls7e_ard_3-0-0_111074_2015-09-11_final
2015-09-11 11:26:23	ga_ls7e_ard_3-0-0_111075_2015-09-11_final
2015-09-11 11:26:47	ga_ls7e_ard_3-0-0_111076_2015-09-11_final
2015-09-11 11:27:11	ga_ls7e_ard_3-0-0_111077_2015-09-11_final
2015-09-11 11:27:35	ga_ls7e_ard_3-0-0_111078_2015-09-11_final
2015-09-13 11:16:26	ga_ls7e_ard_3-1-0_109081_2015-09-13_final
2015-09-13 11:17:38	ga_ls7e_ard_3-0-0_109084_2015-09-13_final
2015-09-27 11:25:15	ga_ls7e_ard_3-0-0_111072_2015-09-27_final
2015-09-27 11:25:39	ga_ls7e_ard_3-0-0_111073_2015-09-27_final
2015-09-27 11:26:03	ga_ls7e_ard_3-0-0_111074_2015-09-27_final
2015-09-27 11:26:27	ga_ls7e_ard_3-0-0_111075_2015-09-27_final
2015-09-27 11:26:51	ga_ls7e_ard_3-0-0_111076_2015-09-27_final
2015-09-27 11:27:15	ga_ls7e_ard_3-0-0_111077_2015-09-27_final
2015-09-27 11:27:39	ga_ls7e_ard_3-0-0_111078_2015-09-27_final
2015-10-13 11:25:27	ga_ls7e_ard_3-0-0_111072_2015-10-13_final
2015-10-13 11:25:51	ga_ls7e_ard_3-0-0_111073_2015-10-13_final
2015-10-13 11:26:15	ga_ls7e_ard_3-0-0_111074_2015-10-13_final
2015-10-13 11:26:39	ga_ls7e_ard_3-0-0_111075_2015-10-13_final
2015-10-13 11:27:02	ga_ls7e_ard_3-0-0_111076_2015-10-13_final
2015-10-13 11:27:26	ga_ls7e_ard_3-0-0_111077_2015-10-13_final
2015-10-13 11:27:50	ga_ls7e_ard_3-0-0_111078_2015-10-13_final
2015-10-15 11:16:43	ga_ls7e_ard_3-1-0_109081_2015-10-15_final
2015-10-15 11:17:07	ga_ls7e_ard_3-0-0_109082_2015-10-15_final
2015-10-15 11:17:31	ga_ls7e_ard_3-0-0_109083_2015-10-15_final
2015-10-15 11:17:55	ga_ls7e_ard_3-0-0_109084_2015-10-15_final
2015-11-30 11:26:11	ga_ls7e_ard_3-0-0_111072_2015-11-30_final
2015-11-30 11:26:35	ga_ls7e_ard_3-0-0_111073_2015-11-30_final
2015-11-30 11:26:59	ga_ls7e_ard_3-0-0_111074_2015-11-30_final
2015-12-02 11:17:26	ga_ls7e_ard_3-1-0_109081_2015-12-02_final
2015-12-02 11:17:50	ga_ls7e_ard_3-0-0_109082_2015-12-02_final
2015-12-02 11:18:14	ga_ls7e_ard_3-0-0_109083_2015-12-02_final
2015-12-02 11:18:38	ga_ls7e_ard_3-0-0_109084_2015-12-02_final
2016-03-14 11:23:11	ga_ls7e_ard_3-0-0_110077_2016-03-14_final
2016-03-14 11:23:35	ga_ls7e_ard_3-0-0_110078_2016-03-14_final
2016-03-14 11:23:59	ga_ls7e_ard_3-0-0_110079_2016-03-14_final
2016-03-14 11:24:23	ga_ls7e_ard_3-0-0_110080_2016-03-14_final
2016-03-14 11:24:47	ga_ls7e_ard_3-0-0_110081_2016-03-14_final
2016-03-14 11:25:11	ga_ls7e_ard_3-0-0_110082_2016-03-14_final
2016-03-16 11:13:38	ga_ls7e_ard_3-0-0_108084_2016-03-16_final
2016-03-19 11:37:46	ga_ls7e_ard_3-0-0_113067_2016-03-19_final
2016-03-21 11:27:25	ga_ls7e_ard_3-0-0_111072_2016-03-21_final
2016-03-21 11:27:49	ga_ls7e_ard_3-0-0_111073_2016-03-21_final
2016-03-21 11:28:13	ga_ls7e_ard_3-0-0_111074_2016-03-21_final
2016-03-21 11:28:37	ga_ls7e_ard_3-0-0_111075_2016-03-21_final
2016-03-21 11:29:01	ga_ls7e_ard_3-0-0_111076_2016-03-21_final
2016-03-21 11:29:25	ga_ls7e_ard_3-0-0_111077_2016-03-21_final
2016-03-21 11:29:48	ga_ls7e_ard_3-0-0_111078_2016-03-21_final
2018-01-31 11:24:24	ga_ls7e_ard_3-0-0_110081_2018-01-31_final
2018-01-31 11:24:48	ga_ls7e_ard_3-0-0_110082_2018-01-31_final
2018-04-10 11:36:29	ga_ls7e_ard_3-0-0_113067_2018-04-10_final
2018-08-02 11:24:06	ga_ls7e_ard_3-0-0_111072_2018-08-02_final
2018-08-02 11:24:30	ga_ls7e_ard_3-0-0_111073_2018-08-02_final
2018-08-02 11:24:54	ga_ls7e_ard_3-0-0_111074_2018-08-02_final
2018-08-02 11:25:18	ga_ls7e_ard_3-0-0_111075_2018-08-02_final
2018-08-02 11:25:42	ga_ls7e_ard_3-0-0_111076_2018-08-02_final
2018-08-02 11:26:06	ga_ls7e_ard_3-0-0_111077_2018-08-02_final
2018-08-02 11:26:30	ga_ls7e_ard_3-0-0_111078_2018-08-02_final
2019-01-02 11:16:18	ga_ls7e_ard_3-0-0_110077_2019-01-02_final
2019-01-02 11:16:42	ga_ls7e_ard_3-0-0_110078_2019-01-02_final
2019-01-02 11:17:06	ga_ls7e_ard_3-0-0_110079_2019-01-02_final
2019-01-02 11:17:30	ga_ls7e_ard_3-0-0_110080_2019-01-02_final
2019-01-02 11:17:54	ga_ls7e_ard_3-0-0_110081_2019-01-02_final
2019-01-02 11:18:18	ga_ls7e_ard_3-0-0_110082_2019-01-02_final
2019-01-02 11:18:42	ga_ls7e_ard_3-0-0_110083_2019-01-02_final
2019-02-19 11:14:49	ga_ls7e_ard_3-1-0_110077_2019-02-19_final
2019-02-19 11:15:13	ga_ls7e_ard_3-1-0_110078_2019-02-19_final
2019-02-19 11:15:37	ga_ls7e_ard_3-1-0_110079_2019-02-19_final
2019-02-19 11:16:01	ga_ls7e_ard_3-1-0_110080_2019-02-19_final
2019-02-19 11:16:25	ga_ls7e_ard_3-1-0_110081_2019-02-19_final
2019-02-19 11:16:49	ga_ls7e_ard_3-1-0_110082_2019-02-19_final
2019-02-19 11:17:13	ga_ls7e_ard_3-1-0_110083_2019-02-19_final
2019-03-05 11:22:45	ga_ls7e_ard_3-1-0_112067_2019-03-05_final
2019-03-05 11:25:32	ga_ls7e_ard_3-1-0_112074_2019-03-05_final
2019-03-07 11:14:19	ga_ls7e_ard_3-1-0_110077_2019-03-07_final
2019-03-07 11:14:43	ga_ls7e_ard_3-1-0_110078_2019-03-07_final
2019-03-07 11:15:07	ga_ls7e_ard_3-1-0_110079_2019-03-07_final
2019-03-12 11:28:42	ga_ls7e_ard_3-1-0_113067_2019-03-12_final
2019-03-21 11:22:14	ga_ls7e_ard_3-1-0_112067_2019-03-21_final
2019-03-23 11:13:47	ga_ls7e_ard_3-1-0_110077_2019-03-23_final
2019-03-23 11:14:35	ga_ls7e_ard_3-1-0_110079_2019-03-23_final
2019-03-23 11:14:59	ga_ls7e_ard_3-1-0_110080_2019-03-23_final
2019-03-23 11:15:47	ga_ls7e_ard_3-1-0_110082_2019-03-23_final
2019-03-23 11:16:11	ga_ls7e_ard_3-1-0_110083_2019-03-23_final
2019-03-28 11:28:10	ga_ls7e_ard_3-1-0_113067_2019-03-28_final
2019-05-10 11:12:03	ga_ls7e_ard_3-0-0_110077_2019-05-10_final
2019-05-10 11:12:27	ga_ls7e_ard_3-0-0_110078_2019-05-10_final
2019-05-10 11:12:51	ga_ls7e_ard_3-0-0_110079_2019-05-10_final
2019-05-10 11:13:14	ga_ls7e_ard_3-0-0_110080_2019-05-10_final
2019-05-10 11:13:38	ga_ls7e_ard_3-0-0_110081_2019-05-10_final
2019-05-10 11:14:02	ga_ls7e_ard_3-0-0_110082_2019-05-10_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