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
2003-12-21 09:00:57	ga_ls7e_ard_3-0-0_089079_2003-12-20_final
2003-12-21 09:01:21	ga_ls7e_ard_3-0-0_089080_2003-12-20_final
2003-12-21 09:01:45	ga_ls7e_ard_3-1-0_089081_2003-12-20_final
2003-12-21 09:02:09	ga_ls7e_ard_3-0-0_089082_2003-12-20_final
2003-12-21 09:02:33	ga_ls7e_ard_3-0-0_089083_2003-12-20_final
2003-12-21 09:02:57	ga_ls7e_ard_3-0-0_089084_2003-12-20_final
2003-12-21 09:03:21	ga_ls7e_ard_3-0-0_089085_2003-12-20_final
2003-12-28 09:07:11	ga_ls7e_ard_3-0-0_090079_2003-12-27_final
2003-12-28 09:07:35	ga_ls7e_ard_3-0-0_090080_2003-12-27_final
2003-12-28 09:07:59	ga_ls7e_ard_3-0-0_090081_2003-12-27_final
2004-02-05 09:12:23	ga_ls7e_ard_3-0-0_091076_2004-02-04_final
2004-02-07 09:01:13	ga_ls7e_ard_3-0-0_089079_2004-02-06_final
2004-02-07 09:01:37	ga_ls7e_ard_3-0-0_089080_2004-02-06_final
2004-02-07 09:02:01	ga_ls7e_ard_3-1-0_089081_2004-02-06_final
2004-02-07 09:02:25	ga_ls7e_ard_3-0-0_089082_2004-02-06_final
2004-02-07 09:02:49	ga_ls7e_ard_3-0-0_089083_2004-02-06_final
2004-02-07 09:03:13	ga_ls7e_ard_3-0-0_089084_2004-02-06_final
2004-02-07 09:03:37	ga_ls7e_ard_3-0-0_089085_2004-02-06_final
2004-02-21 09:12:23	ga_ls7e_ard_3-0-0_091076_2004-02-20_final
2004-03-06 09:21:14	ga_ls7e_ard_3-0-0_093067_2004-03-05_final
2004-04-25 09:12:49	ga_ls7e_ard_3-0-0_091077_2004-04-24_final
2004-04-27 09:01:40	ga_ls7e_ard_3-0-0_089080_2004-04-26_final
2004-04-27 09:02:04	ga_ls7e_ard_3-1-0_089081_2004-04-26_final
2004-04-27 09:02:27	ga_ls7e_ard_3-0-0_089082_2004-04-26_final
2004-04-27 09:02:51	ga_ls7e_ard_3-0-0_089083_2004-04-26_final
2004-04-27 09:03:15	ga_ls7e_ard_3-0-0_089084_2004-04-26_final
2004-04-27 09:03:39	ga_ls7e_ard_3-0-0_089085_2004-04-26_final
2004-06-28 09:12:18	ga_ls7e_ard_3-0-0_091076_2004-06-27_final
2004-06-30 09:01:32	ga_ls7e_ard_3-0-0_089080_2004-06-29_final
2004-06-30 09:01:56	ga_ls7e_ard_3-1-0_089081_2004-06-29_final
2004-06-30 09:02:20	ga_ls7e_ard_3-0-0_089082_2004-06-29_final
2004-06-30 09:02:44	ga_ls7e_ard_3-0-0_089083_2004-06-29_final
2004-06-30 09:03:08	ga_ls7e_ard_3-0-0_089084_2004-06-29_final
2004-06-30 09:03:32	ga_ls7e_ard_3-0-0_089085_2004-06-29_final
2004-08-01 09:01:21	ga_ls7e_ard_3-0-0_089080_2004-07-31_final
2016-07-08 09:20:03	ga_ls7e_ard_3-0-0_090077_2016-07-07_final
2016-07-08 09:20:27	ga_ls7e_ard_3-0-0_090078_2016-07-07_final
2016-07-08 09:20:51	ga_ls7e_ard_3-0-0_090079_2016-07-07_final
2016-07-08 09:21:15	ga_ls7e_ard_3-0-0_090080_2016-07-07_final
2016-07-08 09:21:39	ga_ls7e_ard_3-0-0_090081_2016-07-07_final
2016-08-09 09:20:07	ga_ls7e_ard_3-0-0_090077_2016-08-08_final
2016-08-09 09:20:31	ga_ls7e_ard_3-0-0_090078_2016-08-08_final
2016-08-09 09:20:55	ga_ls7e_ard_3-0-0_090079_2016-08-08_final
2016-08-09 09:21:19	ga_ls7e_ard_3-0-0_090080_2016-08-08_final
2016-08-09 09:21:43	ga_ls7e_ard_3-0-0_090081_2016-08-08_final
2016-10-28 09:20:11	ga_ls7e_ard_3-0-0_090077_2016-10-27_final
2016-10-28 09:20:35	ga_ls7e_ard_3-0-0_090078_2016-10-27_final
2016-10-28 09:20:59	ga_ls7e_ard_3-0-0_090079_2016-10-27_final
2016-10-28 09:21:23	ga_ls7e_ard_3-0-0_090080_2016-10-27_final
2016-10-28 09:21:47	ga_ls7e_ard_3-0-0_090081_2016-10-27_final
2018-01-10 09:25:19	ga_ls7e_ard_3-0-0_091076_2018-01-09_final
2018-01-10 09:25:43	ga_ls7e_ard_3-0-0_091077_2018-01-09_final
2018-02-11 09:24:50	ga_ls7e_ard_3-0-0_091076_2018-02-10_final
2018-02-11 09:25:14	ga_ls7e_ard_3-0-0_091077_2018-02-10_final
2018-02-13 09:14:03	ga_ls7e_ard_3-0-0_089080_2018-02-12_final
2018-02-13 09:14:27	ga_ls7e_ard_3-1-0_089081_2018-02-12_final
2018-02-13 09:14:51	ga_ls7e_ard_3-0-0_089082_2018-02-12_final
2018-02-13 09:15:15	ga_ls7e_ard_3-0-0_089083_2018-02-12_final
2018-02-13 09:15:39	ga_ls7e_ard_3-0-0_089084_2018-02-12_final
2018-03-17 09:13:42	ga_ls7e_ard_3-0-0_089080_2018-03-16_final
2018-03-17 09:14:06	ga_ls7e_ard_3-1-0_089081_2018-03-16_final
2018-03-17 09:14:30	ga_ls7e_ard_3-0-0_089082_2018-03-16_final
2018-03-17 09:14:54	ga_ls7e_ard_3-0-0_089083_2018-03-16_final
2018-03-17 09:15:17	ga_ls7e_ard_3-0-0_089084_2018-03-16_final
2018-03-17 09:15:41	ga_ls7e_ard_3-0-0_089085_2018-03-16_final
2018-05-18 09:23:27	ga_ls7e_ard_3-0-0_091076_2018-05-17_final
2018-05-18 09:23:51	ga_ls7e_ard_3-0-0_091077_2018-05-17_final
2018-05-20 09:12:40	ga_ls7e_ard_3-0-0_089080_2018-05-19_final
2018-05-20 09:13:04	ga_ls7e_ard_3-1-0_089081_2018-05-19_final
2018-05-20 09:13:28	ga_ls7e_ard_3-0-0_089082_2018-05-19_final
2018-05-20 09:13:52	ga_ls7e_ard_3-0-0_089083_2018-05-19_final
2018-05-20 09:14:16	ga_ls7e_ard_3-0-0_089084_2018-05-19_final
2018-05-20 09:14:40	ga_ls7e_ard_3-0-0_089085_2018-05-19_final
2018-06-05 09:12:24	ga_ls7e_ard_3-0-0_089080_2018-06-04_final
2018-06-05 09:12:48	ga_ls7e_ard_3-1-0_089081_2018-06-04_final
2018-06-05 09:13:12	ga_ls7e_ard_3-0-0_089082_2018-06-04_final
2018-06-05 09:14:24	ga_ls7e_ard_3-0-0_089085_2018-06-04_final
2018-07-05 09:22:36	ga_ls7e_ard_3-0-0_091076_2018-07-04_final
2018-07-05 09:23:00	ga_ls7e_ard_3-0-0_091077_2018-07-04_final
2018-07-21 09:22:18	ga_ls7e_ard_3-0-0_091076_2018-07-20_final
2018-07-21 09:22:42	ga_ls7e_ard_3-0-0_091077_2018-07-20_final
2018-07-23 09:11:30	ga_ls7e_ard_3-0-0_089080_2018-07-22_final
2018-07-23 09:11:54	ga_ls7e_ard_3-1-0_089081_2018-07-22_final
2018-07-23 09:12:18	ga_ls7e_ard_3-0-0_089082_2018-07-22_final
2018-07-23 09:12:42	ga_ls7e_ard_3-0-0_089083_2018-07-22_final
2018-07-23 09:13:06	ga_ls7e_ard_3-0-0_089084_2018-07-22_final
2018-07-23 09:13:30	ga_ls7e_ard_3-0-0_089085_2018-07-22_final
2018-07-30 09:16:22	ga_ls7e_ard_3-0-0_090077_2018-07-29_final
2018-07-30 09:16:46	ga_ls7e_ard_3-0-0_090078_2018-07-29_final
2018-07-30 09:17:10	ga_ls7e_ard_3-0-0_090079_2018-07-29_final
2018-07-30 09:17:34	ga_ls7e_ard_3-0-0_090080_2018-07-29_final
2018-07-30 09:17:58	ga_ls7e_ard_3-0-0_090081_2018-07-29_final
2020-04-30 08:51:56	ga_ls7e_ard_3-1-0_090077_2020-04-29_final
2020-04-30 08:52:20	ga_ls7e_ard_3-1-0_090078_2020-04-29_final
2020-04-30 08:52:44	ga_ls7e_ard_3-1-0_090079_2020-04-29_final
2020-04-30 08:53:08	ga_ls7e_ard_3-1-0_090080_2020-04-29_final
2020-07-19 08:47:08	ga_ls7e_ard_3-1-0_090077_2020-07-18_final
2020-07-19 08:47:32	ga_ls7e_ard_3-1-0_090078_2020-07-18_final
2020-07-19 08:47:56	ga_ls7e_ard_3-1-0_090079_2020-07-18_final
2020-07-19 08:48:20	ga_ls7e_ard_3-1-0_090080_2020-07-18_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