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
2006-07-22 09:03:02	ga_ls7e_ard_3-0-0_089082_2006-07-21_final
2006-07-22 09:03:26	ga_ls7e_ard_3-0-0_089083_2006-07-21_final
2006-07-22 09:03:50	ga_ls7e_ard_3-0-0_089084_2006-07-21_final
2006-07-22 09:04:14	ga_ls7e_ard_3-0-0_089085_2006-07-21_final
2006-07-22 09:04:38	ga_ls7e_ard_3-0-0_089086_2006-07-21_final
2006-08-23 09:02:58	ga_ls7e_ard_3-0-0_089082_2006-08-22_final
2006-08-23 09:03:22	ga_ls7e_ard_3-0-0_089083_2006-08-22_final
2006-08-23 09:03:46	ga_ls7e_ard_3-0-0_089084_2006-08-22_final
2006-08-23 09:04:10	ga_ls7e_ard_3-0-0_089085_2006-08-22_final
2006-08-23 09:04:34	ga_ls7e_ard_3-0-0_089086_2006-08-22_final
2006-12-09 09:22:11	ga_ls7e_ard_3-0-0_093067_2006-12-08_final
2007-01-14 09:03:32	ga_ls7e_ard_3-0-0_089082_2007-01-13_final
2007-01-14 09:03:55	ga_ls7e_ard_3-0-0_089083_2007-01-13_final
2007-01-14 09:04:19	ga_ls7e_ard_3-0-0_089084_2007-01-13_final
2007-01-14 09:04:43	ga_ls7e_ard_3-0-0_089085_2007-01-13_final
2007-01-14 09:05:07	ga_ls7e_ard_3-0-0_089086_2007-01-13_final
2007-02-06 09:09:52	ga_ls7e_ard_3-0-0_090082_2007-02-05_final
2007-02-06 09:10:16	ga_ls7e_ard_3-0-0_090083_2007-02-05_final
2007-02-11 09:22:27	ga_ls7e_ard_3-0-0_093067_2007-02-10_final
2016-05-21 09:20:19	ga_ls7e_ard_3-0-0_090078_2016-05-20_final
2016-07-15 09:27:02	ga_ls7e_ard_3-0-0_091079_2016-07-14_final
2016-08-18 09:15:56	ga_ls7e_ard_3-0-0_089082_2016-08-17_final
2016-08-18 09:16:20	ga_ls7e_ard_3-0-0_089083_2016-08-17_final
2016-08-18 09:16:44	ga_ls7e_ard_3-0-0_089084_2016-08-17_final
2016-08-18 09:17:08	ga_ls7e_ard_3-0-0_089085_2016-08-17_final
2016-08-18 09:17:32	ga_ls7e_ard_3-0-0_089086_2016-08-17_final
2016-09-17 09:26:00	ga_ls7e_ard_3-0-0_091076_2016-09-16_final
2016-09-17 09:26:23	ga_ls7e_ard_3-0-0_091077_2016-09-16_final
2016-09-17 09:26:47	ga_ls7e_ard_3-0-0_091078_2016-09-16_final
2016-11-06 09:15:56	ga_ls7e_ard_3-0-0_089082_2016-11-05_final
2016-11-06 09:16:20	ga_ls7e_ard_3-0-0_089083_2016-11-05_final
2016-11-06 09:16:44	ga_ls7e_ard_3-0-0_089084_2016-11-05_final
2016-11-06 09:17:08	ga_ls7e_ard_3-0-0_089085_2016-11-05_final
2016-11-06 09:17:32	ga_ls7e_ard_3-0-0_089086_2016-11-05_final
2016-11-13 09:20:27	ga_ls7e_ard_3-0-0_090078_2016-11-12_final
2016-11-13 09:20:51	ga_ls7e_ard_3-0-0_090079_2016-11-12_final
2016-11-13 09:21:15	ga_ls7e_ard_3-0-0_090080_2016-11-12_final
2016-11-13 09:21:39	ga_ls7e_ard_3-0-0_090081_2016-11-12_final
2016-11-13 09:22:03	ga_ls7e_ard_3-0-0_090082_2016-11-12_final
2016-11-13 09:22:27	ga_ls7e_ard_3-0-0_090083_2016-11-12_final
2017-02-10 09:15:13	ga_ls7e_ard_3-0-0_089082_2017-02-09_final
2017-02-10 09:15:37	ga_ls7e_ard_3-0-0_089083_2017-02-09_final
2017-02-10 09:16:00	ga_ls7e_ard_3-0-0_089084_2017-02-09_final
2017-02-10 09:16:24	ga_ls7e_ard_3-0-0_089085_2017-02-09_final
2017-02-10 09:16:48	ga_ls7e_ard_3-0-0_089086_2017-02-09_final
2017-02-17 09:19:52	ga_ls7e_ard_3-0-0_090078_2017-02-16_final
2017-02-17 09:20:16	ga_ls7e_ard_3-0-0_090079_2017-02-16_final
2017-02-17 09:20:40	ga_ls7e_ard_3-0-0_090080_2017-02-16_final
2017-02-17 09:21:04	ga_ls7e_ard_3-0-0_090081_2017-02-16_final
2017-02-17 09:21:28	ga_ls7e_ard_3-0-0_090082_2017-02-16_final
2017-02-17 09:21:52	ga_ls7e_ard_3-0-0_090083_2017-02-16_final
2017-12-02 09:19:59	ga_ls7e_ard_3-0-0_090077_2017-12-01_final
2017-12-02 09:20:47	ga_ls7e_ard_3-0-0_090079_2017-12-01_final
2017-12-09 09:26:06	ga_ls7e_ard_3-0-0_091077_2017-12-08_final
2017-12-09 09:26:30	ga_ls7e_ard_3-0-0_091078_2017-12-08_final
2017-12-09 09:26:54	ga_ls7e_ard_3-0-0_091079_2017-12-08_final
2017-12-11 09:15:19	ga_ls7e_ard_3-1-0_089081_2017-12-10_final
2017-12-11 09:15:43	ga_ls7e_ard_3-0-0_089082_2017-12-10_final
2017-12-11 09:16:07	ga_ls7e_ard_3-0-0_089083_2017-12-10_final
2017-12-11 09:16:31	ga_ls7e_ard_3-0-0_089084_2017-12-10_final
2017-12-11 09:16:55	ga_ls7e_ard_3-0-0_089085_2017-12-10_final
2018-08-15 09:16:28	ga_ls7e_ard_3-0-0_090078_2018-08-14_final
2018-08-15 09:16:52	ga_ls7e_ard_3-0-0_090079_2018-08-14_final
2018-08-15 09:17:16	ga_ls7e_ard_3-0-0_090080_2018-08-14_final
2018-08-15 09:17:40	ga_ls7e_ard_3-0-0_090081_2018-08-14_final
2018-08-15 09:18:04	ga_ls7e_ard_3-1-0_090082_2018-08-14_final
2018-08-15 09:18:28	ga_ls7e_ard_3-0-0_090083_2018-08-14_final
2019-06-15 09:07:31	ga_ls7e_ard_3-0-0_090078_2019-06-14_final
2019-06-15 09:07:55	ga_ls7e_ard_3-0-0_090079_2019-06-14_final
2019-06-15 09:08:19	ga_ls7e_ard_3-0-0_090080_2019-06-14_final
2019-06-15 09:08:43	ga_ls7e_ard_3-0-0_090081_2019-06-14_final
2019-06-15 09:09:07	ga_ls7e_ard_3-0-0_090082_2019-06-14_final
2019-06-15 09:09:31	ga_ls7e_ard_3-0-0_090083_2019-06-14_final
2019-07-17 09:06:18	ga_ls7e_ard_3-0-0_090078_2019-07-16_final
2019-07-17 09:06:42	ga_ls7e_ard_3-0-0_090079_2019-07-16_final
2019-07-17 09:07:06	ga_ls7e_ard_3-0-0_090080_2019-07-16_final
2019-07-17 09:07:30	ga_ls7e_ard_3-0-0_090081_2019-07-16_final
2019-07-17 09:07:54	ga_ls7e_ard_3-1-0_090082_2019-07-16_final
2019-07-17 09:08:18	ga_ls7e_ard_3-0-0_090083_2019-07-16_final
2019-09-26 09:08:40	ga_ls7e_ard_3-1-0_091076_2019-09-25_final
2019-09-26 09:09:04	ga_ls7e_ard_3-1-0_091077_2019-09-25_final
2019-09-26 09:09:52	ga_ls7e_ard_3-1-0_091079_2019-09-25_final
2019-11-06 09:01:33	ga_ls7e_ard_3-1-0_090078_2019-11-05_final
2019-11-06 09:01:57	ga_ls7e_ard_3-1-0_090079_2019-11-05_final
2019-11-06 09:02:21	ga_ls7e_ard_3-1-0_090080_2019-11-05_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-06 09:03:33	ga_ls7e_ard_3-1-0_090083_2019-11-05_final
2019-11-22 09:00:48	ga_ls7e_ard_3-1-0_090078_2019-11-21_final
2019-11-22 09:01:12	ga_ls7e_ard_3-1-0_090079_2019-11-21_final
2019-11-22 09:01:36	ga_ls7e_ard_3-1-0_090080_2019-11-21_final
2019-11-22 09:02:00	ga_ls7e_ard_3-1-0_090081_2019-11-21_final
2019-11-22 09:02:24	ga_ls7e_ard_3-1-0_090082_2019-11-21_final
2019-11-22 09:02:48	ga_ls7e_ard_3-1-0_090083_2019-11-21_final
2019-12-06 09:11:17	ga_ls7e_ard_3-1-0_092075_2019-12-05_final
2019-12-24 08:59:13	ga_ls7e_ard_3-1-0_090078_2019-12-23_final
2019-12-24 08:59:37	ga_ls7e_ard_3-1-0_090079_2019-12-23_final
2019-12-24 09:00:01	ga_ls7e_ard_3-1-0_090080_2019-12-23_final
2019-12-24 09:00:25	ga_ls7e_ard_3-1-0_090081_2019-12-23_final
2019-12-24 09:00:49	ga_ls7e_ard_3-1-0_090082_2019-12-23_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