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
2014-04-22 11:44:11	ga_ls7e_ard_3-0-0_114080_2014-04-22_final
2014-04-22 11:44:35	ga_ls7e_ard_3-0-0_114081_2014-04-22_final
2014-04-29 11:48:49	ga_ls7e_ard_3-0-0_115076_2014-04-29_final
2014-04-29 11:49:13	ga_ls7e_ard_3-1-0_115077_2014-04-29_final
2014-04-29 11:49:37	ga_ls7e_ard_3-0-0_115078_2014-04-29_final
2014-04-29 11:50:01	ga_ls7e_ard_3-0-0_115079_2014-04-29_final
2014-05-01 11:39:39	ga_ls7e_ard_3-0-0_113084_2014-05-01_final
2014-05-31 11:48:59	ga_ls7e_ard_3-0-0_115076_2014-05-31_final
2014-05-31 11:49:23	ga_ls7e_ard_3-1-0_115077_2014-05-31_final
2014-05-31 11:49:47	ga_ls7e_ard_3-0-0_115078_2014-05-31_final
2014-05-31 11:50:11	ga_ls7e_ard_3-0-0_115079_2014-05-31_final
2014-06-02 11:39:50	ga_ls7e_ard_3-0-0_113084_2014-06-02_final
2014-06-16 11:49:00	ga_ls7e_ard_3-0-0_115076_2014-06-16_final
2014-06-16 11:49:24	ga_ls7e_ard_3-1-0_115077_2014-06-16_final
2014-06-16 11:49:48	ga_ls7e_ard_3-0-0_115078_2014-06-16_final
2014-06-16 11:50:12	ga_ls7e_ard_3-0-0_115079_2014-06-16_final
2014-07-27 11:44:38	ga_ls7e_ard_3-0-0_114080_2014-07-27_final
2014-08-28 11:44:38	ga_ls7e_ard_3-0-0_114080_2014-08-28_final
2014-08-28 11:45:02	ga_ls7e_ard_3-0-0_114081_2014-08-28_final
2014-10-08 11:40:22	ga_ls7e_ard_3-0-0_113084_2014-10-08_final
2014-12-02 11:45:24	ga_ls7e_ard_3-0-0_114080_2014-12-02_final
2015-02-04 11:45:43	ga_ls7e_ard_3-0-0_114080_2015-02-04_final
2015-03-24 11:46:04	ga_ls7e_ard_3-0-0_114080_2015-03-24_final
2015-03-24 11:46:28	ga_ls7e_ard_3-0-0_114081_2015-03-24_final
2015-03-31 11:50:40	ga_ls7e_ard_3-0-0_115076_2015-03-31_final
2015-03-31 11:51:28	ga_ls7e_ard_3-0-0_115078_2015-03-31_final
2015-04-02 11:41:31	ga_ls7e_ard_3-0-0_113084_2015-04-02_final
2015-06-28 11:46:39	ga_ls7e_ard_3-0-0_114080_2015-06-28_final
2015-06-28 11:47:03	ga_ls7e_ard_3-0-0_114081_2015-06-28_final
2015-07-21 11:52:09	ga_ls7e_ard_3-0-0_115078_2015-07-21_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2015-07-23 11:42:11	ga_ls7e_ard_3-0-0_113084_2015-07-23_final
2017-11-24 11:49:34	ga_ls7e_ard_3-0-0_114080_2017-11-24_final
2017-12-17 11:53:57	ga_ls7e_ard_3-0-0_115076_2017-12-17_final
2017-12-17 11:54:21	ga_ls7e_ard_3-1-0_115077_2017-12-17_final
2017-12-17 11:54:45	ga_ls7e_ard_3-0-0_115078_2017-12-17_final
2018-02-28 11:48:24	ga_ls7e_ard_3-0-0_114080_2018-02-28_final
2018-02-28 11:48:48	ga_ls7e_ard_3-0-0_114081_2018-02-28_final
2018-03-23 11:52:42	ga_ls7e_ard_3-0-0_115076_2018-03-23_final
2018-03-23 11:53:06	ga_ls7e_ard_3-1-0_115077_2018-03-23_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-05-03 11:47:26	ga_ls7e_ard_3-0-0_114080_2018-05-03_final
2018-09-15 11:49:32	ga_ls7e_ard_3-0-0_115076_2018-09-15_final
2018-09-15 11:49:56	ga_ls7e_ard_3-0-0_115077_2018-09-15_final
2018-09-15 11:50:19	ga_ls7e_ard_3-0-0_115078_2018-09-15_final
2018-09-15 11:50:43	ga_ls7e_ard_3-0-0_115079_2018-09-15_final
2018-09-17 11:40:19	ga_ls7e_ard_3-0-0_113084_2018-09-17_final
2018-10-17 11:48:45	ga_ls7e_ard_3-0-0_115076_2018-10-17_final
2018-10-17 11:49:09	ga_ls7e_ard_3-0-0_115077_2018-10-17_final
2018-10-26 11:43:59	ga_ls7e_ard_3-0-0_114080_2018-10-26_final
2018-10-26 11:44:23	ga_ls7e_ard_3-0-0_114081_2018-10-26_final
2018-11-02 11:48:25	ga_ls7e_ard_3-0-0_115076_2018-11-02_final
2018-11-02 11:48:49	ga_ls7e_ard_3-1-0_115077_2018-11-02_final
2018-11-02 11:49:13	ga_ls7e_ard_3-0-0_115078_2018-11-02_final
2018-11-02 11:49:37	ga_ls7e_ard_3-0-0_115079_2018-11-02_final
2018-11-11 11:43:38	ga_ls7e_ard_3-0-0_114080_2018-11-11_final
2018-11-18 11:48:03	ga_ls7e_ard_3-0-0_115076_2018-11-18_final
2018-11-18 11:48:26	ga_ls7e_ard_3-0-0_115077_2018-11-18_final
2018-11-18 11:48:50	ga_ls7e_ard_3-0-0_115078_2018-11-18_final
2018-11-18 11:49:14	ga_ls7e_ard_3-0-0_115079_2018-11-18_final
2018-11-27 11:43:14	ga_ls7e_ard_3-0-0_114080_2018-11-27_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2018-12-22 11:37:58	ga_ls7e_ard_3-0-0_113084_2018-12-22_final
2018-12-29 11:42:20	ga_ls7e_ard_3-0-0_114080_2018-12-29_final
2018-12-29 11:42:44	ga_ls7e_ard_3-0-0_114081_2018-12-29_final
2019-01-05 11:46:43	ga_ls7e_ard_3-0-0_115076_2019-01-05_final
2019-01-05 11:47:07	ga_ls7e_ard_3-1-0_115077_2019-01-05_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-01-14 11:41:51	ga_ls7e_ard_3-0-0_114080_2019-01-14_final
2019-01-14 11:42:15	ga_ls7e_ard_3-0-0_114081_2019-01-14_final
2019-01-21 11:46:12	ga_ls7e_ard_3-0-0_115076_2019-01-21_final
2019-01-21 11:46:36	ga_ls7e_ard_3-0-0_115077_2019-01-21_final
2019-01-21 11:47:00	ga_ls7e_ard_3-0-0_115078_2019-01-21_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-02-06 11:45:42	ga_ls7e_ard_3-0-0_115076_2019-02-06_final
2019-02-06 11:46:06	ga_ls7e_ard_3-1-0_115077_2019-02-06_final
2019-02-06 11:46:30	ga_ls7e_ard_3-0-0_115078_2019-02-06_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2019-02-22 11:45:13	ga_ls7e_ard_3-1-0_115076_2019-02-22_final
2019-02-22 11:45:37	ga_ls7e_ard_3-1-0_115077_2019-02-22_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-02-22 11:46:25	ga_ls7e_ard_3-1-0_115079_2019-02-22_final
2019-02-24 11:36:00	ga_ls7e_ard_3-1-0_113084_2019-02-24_final
2019-03-10 11:44:43	ga_ls7e_ard_3-1-0_115076_2019-03-10_final
2019-03-10 11:45:07	ga_ls7e_ard_3-1-0_115077_2019-03-10_final
2019-03-10 11:45:31	ga_ls7e_ard_3-1-0_115078_2019-03-10_final
2019-03-10 11:45:55	ga_ls7e_ard_3-1-0_115079_2019-03-10_final
2019-03-12 11:35:29	ga_ls7e_ard_3-1-0_113084_2019-03-12_final
2019-03-26 11:44:11	ga_ls7e_ard_3-1-0_115076_2019-03-26_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2019-03-26 11:44:59	ga_ls7e_ard_3-1-0_115078_2019-03-26_final
2019-03-26 11:45:23	ga_ls7e_ard_3-1-0_115079_2019-03-26_final
2019-04-04 11:39:18	ga_ls7e_ard_3-0-0_114080_2019-04-04_final
2019-04-13 11:34:23	ga_ls7e_ard_3-0-0_113084_2019-04-13_final
2019-05-22 11:37:29	ga_ls7e_ard_3-0-0_114080_2019-05-22_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2019-05-29 11:41:50	ga_ls7e_ard_3-0-0_115076_2019-05-29_final
2019-05-29 11:42:14	ga_ls7e_ard_3-1-0_115077_2019-05-29_final
2019-05-29 11:42:38	ga_ls7e_ard_3-0-0_115078_2019-05-29_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