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
2002-05-25 11:18:08	ga_ls7e_ard_3-0-0_112067_2002-05-25_final
2002-05-27 11:07:45	ga_ls7e_ard_3-1-0_110072_2002-05-27_final
2002-05-27 11:08:08	ga_ls7e_ard_3-0-0_110073_2002-05-27_final
2002-05-27 11:08:33	ga_ls7e_ard_3-0-0_110074_2002-05-27_final
2002-05-27 11:08:57	ga_ls7e_ard_3-0-0_110075_2002-05-27_final
2002-05-27 11:09:21	ga_ls7e_ard_3-0-0_110076_2002-05-27_final
2002-05-27 11:09:44	ga_ls7e_ard_3-0-0_110077_2002-05-27_final
2002-05-27 11:10:08	ga_ls7e_ard_3-0-0_110078_2002-05-27_final
2002-05-29 10:58:57	ga_ls7e_ard_3-0-0_108081_2002-05-29_final
2002-05-29 10:59:21	ga_ls7e_ard_3-0-0_108082_2002-05-29_final
2002-05-29 10:59:45	ga_ls7e_ard_3-0-0_108083_2002-05-29_final
2002-05-29 11:00:09	ga_ls7e_ard_3-1-0_108084_2002-05-29_final
2012-12-25 11:11:04	ga_ls7e_ard_3-0-0_109077_2012-12-25_final
2012-12-25 11:11:28	ga_ls7e_ard_3-0-0_109078_2012-12-25_final
2012-12-25 11:11:52	ga_ls7e_ard_3-0-0_109079_2012-12-25_final
2012-12-25 11:12:16	ga_ls7e_ard_3-0-0_109080_2012-12-25_final
2012-12-25 11:12:40	ga_ls7e_ard_3-1-0_109081_2012-12-25_final
2012-12-25 11:13:04	ga_ls7e_ard_3-0-0_109082_2012-12-25_final
2012-12-27 11:01:30	ga_ls7e_ard_3-0-0_107084_2012-12-27_final
2013-05-25 11:14:56	ga_ls7e_ard_3-1-0_110072_2013-05-25_final
2013-05-25 11:15:20	ga_ls7e_ard_3-0-0_110073_2013-05-25_final
2013-05-25 11:15:44	ga_ls7e_ard_3-0-0_110074_2013-05-25_final
2013-05-25 11:16:08	ga_ls7e_ard_3-0-0_110075_2013-05-25_final
2013-05-25 11:16:32	ga_ls7e_ard_3-0-0_110076_2013-05-25_final
2013-05-25 11:16:55	ga_ls7e_ard_3-0-0_110077_2013-05-25_final
2013-05-25 11:17:19	ga_ls7e_ard_3-0-0_110078_2013-05-25_final
2013-06-19 11:10:34	ga_ls7e_ard_3-0-0_109077_2013-06-19_final
2013-06-19 11:10:58	ga_ls7e_ard_3-0-0_109078_2013-06-19_final
2013-06-19 11:11:22	ga_ls7e_ard_3-0-0_109079_2013-06-19_final
2013-06-19 11:11:46	ga_ls7e_ard_3-0-0_109080_2013-06-19_final
2013-07-12 11:14:30	ga_ls7e_ard_3-1-0_110072_2013-07-12_final
2013-07-12 11:14:54	ga_ls7e_ard_3-0-0_110073_2013-07-12_final
2013-07-12 11:15:18	ga_ls7e_ard_3-0-0_110074_2013-07-12_final
2013-07-12 11:15:42	ga_ls7e_ard_3-0-0_110075_2013-07-12_final
2013-07-12 11:16:06	ga_ls7e_ard_3-0-0_110076_2013-07-12_final
2013-07-12 11:16:30	ga_ls7e_ard_3-0-0_110077_2013-07-12_final
2013-07-12 11:16:54	ga_ls7e_ard_3-0-0_110078_2013-07-12_final
2013-10-11 11:01:19	ga_ls7e_ard_3-0-0_107084_2013-10-11_final
2013-12-10 11:19:39	ga_ls7e_ard_3-0-0_111067_2013-12-10_final
2013-12-10 11:20:03	ga_ls7e_ard_3-0-0_111068_2013-12-10_final
2013-12-10 11:21:38	ga_ls7e_ard_3-0-0_111072_2013-12-10_final
2013-12-10 11:22:02	ga_ls7e_ard_3-0-0_111073_2013-12-10_final
2013-12-12 11:11:16	ga_ls7e_ard_3-0-0_109077_2013-12-12_final
2013-12-12 11:11:40	ga_ls7e_ard_3-0-0_109078_2013-12-12_final
2013-12-12 11:12:04	ga_ls7e_ard_3-0-0_109079_2013-12-12_final
2013-12-12 11:12:28	ga_ls7e_ard_3-0-0_109080_2013-12-12_final
2013-12-12 11:12:52	ga_ls7e_ard_3-1-0_109081_2013-12-12_final
2013-12-12 11:13:16	ga_ls7e_ard_3-0-0_109082_2013-12-12_final
2013-12-14 11:01:42	ga_ls7e_ard_3-0-0_107084_2013-12-14_final
2018-01-06 11:27:23	ga_ls7e_ard_3-0-0_111072_2018-01-06_final
2018-01-06 11:27:47	ga_ls7e_ard_3-0-0_111073_2018-01-06_final
2018-01-08 11:16:36	ga_ls7e_ard_3-0-0_109076_2018-01-08_final
2018-01-08 11:16:59	ga_ls7e_ard_3-0-0_109077_2018-01-08_final
2018-01-08 11:17:23	ga_ls7e_ard_3-0-0_109078_2018-01-08_final
2018-01-08 11:17:47	ga_ls7e_ard_3-0-0_109079_2018-01-08_final
2018-01-08 11:18:11	ga_ls7e_ard_3-0-0_109080_2018-01-08_final
2018-01-08 11:18:35	ga_ls7e_ard_3-1-0_109081_2018-01-08_final
2018-01-08 11:18:59	ga_ls7e_ard_3-0-0_109082_2018-01-08_final
2018-01-22 11:26:45	ga_ls7e_ard_3-0-0_111071_2018-01-22_final
2018-01-22 11:27:09	ga_ls7e_ard_3-0-0_111072_2018-01-22_final
2018-01-22 11:27:33	ga_ls7e_ard_3-0-0_111073_2018-01-22_final
2018-01-24 11:16:45	ga_ls7e_ard_3-0-0_109077_2018-01-24_final
2018-01-24 11:17:09	ga_ls7e_ard_3-0-0_109078_2018-01-24_final
2018-01-24 11:17:33	ga_ls7e_ard_3-0-0_109079_2018-01-24_final
2018-01-24 11:17:57	ga_ls7e_ard_3-0-0_109080_2018-01-24_final
2018-01-24 11:18:21	ga_ls7e_ard_3-1-0_109081_2018-01-24_final
2018-01-26 11:07:09	ga_ls7e_ard_3-0-0_107084_2018-01-26_final
2018-03-29 11:15:56	ga_ls7e_ard_3-0-0_109077_2018-03-29_final
2018-03-29 11:16:20	ga_ls7e_ard_3-0-0_109078_2018-03-29_final
2018-03-29 11:16:44	ga_ls7e_ard_3-0-0_109079_2018-03-29_final
2018-03-29 11:17:08	ga_ls7e_ard_3-0-0_109080_2018-03-29_final
2018-03-29 11:17:32	ga_ls7e_ard_3-1-0_109081_2018-03-29_final
2018-03-29 11:17:56	ga_ls7e_ard_3-0-0_109082_2018-03-29_final
2018-03-31 11:06:20	ga_ls7e_ard_3-0-0_107084_2018-03-31_final
2019-05-17 11:13:57	ga_ls7e_ard_3-0-0_111067_2019-05-17_final
2019-05-17 11:14:21	ga_ls7e_ard_3-0-0_111068_2019-05-17_final
2019-05-17 11:15:33	ga_ls7e_ard_3-0-0_111071_2019-05-17_final
2019-05-17 11:15:57	ga_ls7e_ard_3-0-0_111072_2019-05-17_final
2019-05-17 11:16:21	ga_ls7e_ard_3-0-0_111073_2019-05-17_final
2019-05-19 11:05:30	ga_ls7e_ard_3-0-0_109077_2019-05-19_final
2019-05-19 11:05:54	ga_ls7e_ard_3-0-0_109078_2019-05-19_final
2019-05-19 11:06:18	ga_ls7e_ard_3-0-0_109079_2019-05-19_final
2019-05-19 11:06:42	ga_ls7e_ard_3-0-0_109080_2019-05-19_final
2019-05-19 11:07:06	ga_ls7e_ard_3-1-0_109081_2019-05-19_final
2019-05-19 11:07:30	ga_ls7e_ard_3-0-0_109082_2019-05-19_final
2019-05-19 11:07:54	ga_ls7e_ard_3-0-0_109083_2019-05-19_final
2019-05-28 11:00:36	ga_ls7e_ard_3-0-0_108081_2019-05-28_final
2019-05-28 11:01:00	ga_ls7e_ard_3-0-0_108082_2019-05-28_final
2019-05-28 11:01:24	ga_ls7e_ard_3-0-0_108083_2019-05-28_final
2019-09-06 11:09:34	ga_ls7e_ard_3-1-0_111067_2019-09-06_final
2019-09-06 11:09:58	ga_ls7e_ard_3-1-0_111068_2019-09-06_final
2019-09-06 11:11:10	ga_ls7e_ard_3-1-0_111071_2019-09-06_final
2019-09-06 11:11:34	ga_ls7e_ard_3-1-0_111072_2019-09-06_final
2019-09-06 11:11:58	ga_ls7e_ard_3-1-0_111073_2019-09-06_final
2019-09-08 11:01:07	ga_ls7e_ard_3-1-0_109077_2019-09-08_final
2019-09-08 11:01:31	ga_ls7e_ard_3-1-0_109078_2019-09-08_final
2019-09-08 11:01:55	ga_ls7e_ard_3-1-0_109079_2019-09-08_final
2019-09-08 11:02:19	ga_ls7e_ard_3-1-0_109080_2019-09-08_final
2019-09-08 11:02:43	ga_ls7e_ard_3-1-0_109081_2019-09-08_final
2019-09-08 11:03:07	ga_ls7e_ard_3-1-0_109082_2019-09-08_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