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
2015-09-09 11:41:56	ga_ls7e_ard_3-0-0_113083_2015-09-09_final
2015-09-09 11:42:20	ga_ls7e_ard_3-0-0_113084_2015-09-09_final
2015-09-25 11:42:00	ga_ls7e_ard_3-0-0_113083_2015-09-25_final
2015-09-25 11:42:24	ga_ls7e_ard_3-0-0_113084_2015-09-25_final
2015-10-11 11:42:09	ga_ls7e_ard_3-0-0_113083_2015-10-11_final
2015-10-11 11:42:33	ga_ls7e_ard_3-0-0_113084_2015-10-11_final
2015-10-18 11:47:17	ga_ls7e_ard_3-0-0_114080_2015-10-18_final
2015-10-25 11:51:34	ga_ls7e_ard_3-0-0_115075_2015-10-25_final
2015-10-25 11:51:58	ga_ls7e_ard_3-0-0_115076_2015-10-25_final
2015-10-25 11:52:22	ga_ls7e_ard_3-1-0_115077_2015-10-25_final
2015-10-25 11:52:46	ga_ls7e_ard_3-0-0_115078_2015-10-25_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2015-12-12 11:52:20	ga_ls7e_ard_3-0-0_115075_2015-12-12_final
2015-12-12 11:52:44	ga_ls7e_ard_3-0-0_115076_2015-12-12_final
2015-12-12 11:53:08	ga_ls7e_ard_3-1-0_115077_2015-12-12_final
2015-12-12 11:53:32	ga_ls7e_ard_3-0-0_115078_2015-12-12_final
2015-12-12 11:53:56	ga_ls7e_ard_3-0-0_115079_2015-12-12_final
2015-12-14 11:43:12	ga_ls7e_ard_3-0-0_113083_2015-12-14_final
2015-12-28 11:52:32	ga_ls7e_ard_3-0-0_115075_2015-12-28_final
2015-12-28 11:52:56	ga_ls7e_ard_3-0-0_115076_2015-12-28_final
2015-12-28 11:53:20	ga_ls7e_ard_3-1-0_115077_2015-12-28_final
2015-12-28 11:53:44	ga_ls7e_ard_3-0-0_115078_2015-12-28_final
2015-12-28 11:54:08	ga_ls7e_ard_3-0-0_115079_2015-12-28_final
2015-12-30 11:43:24	ga_ls7e_ard_3-0-0_113083_2015-12-30_final
2016-01-06 11:48:31	ga_ls7e_ard_3-0-0_114080_2016-01-06_final
2016-02-23 11:48:53	ga_ls7e_ard_3-0-0_114080_2016-02-23_final
2016-03-03 11:44:01	ga_ls7e_ard_3-0-0_113083_2016-03-03_final
2016-03-03 11:44:25	ga_ls7e_ard_3-0-0_113084_2016-03-03_final
2016-03-17 11:53:19	ga_ls7e_ard_3-0-0_115075_2016-03-17_final
2016-03-17 11:53:43	ga_ls7e_ard_3-0-0_115076_2016-03-17_final
2016-03-17 11:54:07	ga_ls7e_ard_3-1-0_115077_2016-03-17_final
2016-03-17 11:54:30	ga_ls7e_ard_3-0-0_115078_2016-03-17_final
2016-03-17 11:54:54	ga_ls7e_ard_3-0-0_115079_2016-03-17_final
2016-03-19 11:44:09	ga_ls7e_ard_3-0-0_113083_2016-03-19_final
2016-03-19 11:44:33	ga_ls7e_ard_3-0-0_113084_2016-03-19_final
2016-04-18 11:53:30	ga_ls7e_ard_3-0-0_115075_2016-04-18_final
2016-04-18 11:53:54	ga_ls7e_ard_3-0-0_115076_2016-04-18_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2016-04-18 11:54:42	ga_ls7e_ard_3-0-0_115078_2016-04-18_final
2016-04-18 11:55:05	ga_ls7e_ard_3-0-0_115079_2016-04-18_final
2016-05-06 11:44:25	ga_ls7e_ard_3-0-0_113083_2016-05-06_final
2016-06-23 11:44:36	ga_ls7e_ard_3-0-0_113083_2016-06-23_final
2016-06-23 11:45:00	ga_ls7e_ard_3-0-0_113084_2016-06-23_final
2016-08-24 11:53:52	ga_ls7e_ard_3-0-0_115075_2016-08-24_final
2016-08-24 11:54:16	ga_ls7e_ard_3-0-0_115076_2016-08-24_final
2016-08-24 11:54:40	ga_ls7e_ard_3-0-0_115077_2016-08-24_final
2016-08-24 11:55:04	ga_ls7e_ard_3-0-0_115078_2016-08-24_final
2016-08-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2016-08-24_final
2016-08-26 11:45:06	ga_ls7e_ard_3-0-0_113084_2016-08-26_final
2016-09-09 11:53:55	ga_ls7e_ard_3-0-0_115075_2016-09-09_final
2016-09-09 11:54:19	ga_ls7e_ard_3-0-0_115076_2016-09-09_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2016-09-09 11:55:06	ga_ls7e_ard_3-0-0_115078_2016-09-09_final
2016-09-09 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-09-09_final
2016-09-18 11:49:44	ga_ls7e_ard_3-0-0_114080_2016-09-18_final
2016-09-18 11:50:08	ga_ls7e_ard_3-0-0_114081_2016-09-18_final
2016-10-04 11:49:47	ga_ls7e_ard_3-0-0_114080_2016-10-04_final
2016-11-14 11:44:35	ga_ls7e_ard_3-0-0_113083_2016-11-14_final
2016-11-14 11:44:59	ga_ls7e_ard_3-0-0_113084_2016-11-14_final
2016-11-21 11:49:33	ga_ls7e_ard_3-0-0_114080_2016-11-21_final
2016-11-28 11:53:43	ga_ls7e_ard_3-0-0_115075_2016-11-28_final
2016-11-28 11:54:07	ga_ls7e_ard_3-0-0_115076_2016-11-28_final
2016-11-28 11:54:31	ga_ls7e_ard_3-1-0_115077_2016-11-28_final
2016-11-28 11:54:55	ga_ls7e_ard_3-0-0_115078_2016-11-28_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2016-12-30 11:53:32	ga_ls7e_ard_3-0-0_115075_2016-12-30_final
2016-12-30 11:53:56	ga_ls7e_ard_3-0-0_115076_2016-12-30_final
2016-12-30 11:54:20	ga_ls7e_ard_3-1-0_115077_2016-12-30_final
2016-12-30 11:54:44	ga_ls7e_ard_3-0-0_115078_2016-12-30_final
2016-12-30 11:55:08	ga_ls7e_ard_3-0-0_115079_2016-12-30_final
2017-01-01 11:44:20	ga_ls7e_ard_3-0-0_113083_2017-01-01_final
2017-01-01 11:44:44	ga_ls7e_ard_3-0-0_113084_2017-01-01_final
2017-01-15 11:53:21	ga_ls7e_ard_3-0-0_115075_2017-01-15_final
2017-01-15 11:54:09	ga_ls7e_ard_3-0-0_115077_2017-01-15_final
2017-01-15 11:54:33	ga_ls7e_ard_3-0-0_115078_2017-01-15_final
2017-01-15 11:54:57	ga_ls7e_ard_3-0-0_115079_2017-01-15_final
2017-01-24 11:49:03	ga_ls7e_ard_3-0-0_114080_2017-01-24_final
2017-01-31 11:53:13	ga_ls7e_ard_3-0-0_115075_2017-01-31_final
2017-01-31 11:53:37	ga_ls7e_ard_3-0-0_115076_2017-01-31_final
2017-01-31 11:54:01	ga_ls7e_ard_3-1-0_115077_2017-01-31_final
2017-01-31 11:54:24	ga_ls7e_ard_3-0-0_115078_2017-01-31_final
2017-01-31 11:54:48	ga_ls7e_ard_3-0-0_115079_2017-01-31_final
2017-02-02 11:44:26	ga_ls7e_ard_3-0-0_113084_2017-02-02_final
2017-03-06 11:44:09	ga_ls7e_ard_3-0-0_113083_2017-03-06_final
2017-03-06 11:44:33	ga_ls7e_ard_3-0-0_113084_2017-03-06_final
2017-03-29 11:49:15	ga_ls7e_ard_3-0-0_114080_2017-03-29_final
2017-03-29 11:49:39	ga_ls7e_ard_3-0-0_114081_2017-03-29_final
2017-04-23 11:44:26	ga_ls7e_ard_3-0-0_113083_2017-04-23_final
2017-04-23 11:44:50	ga_ls7e_ard_3-0-0_113084_2017-04-23_final
2017-08-04 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-08-04_final
2018-11-02 11:48:01	ga_ls7e_ard_3-0-0_115075_2018-11-02_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
2018-12-04 11:47:14	ga_ls7e_ard_3-0-0_115075_2018-12-04_final
2018-12-04 11:47:38	ga_ls7e_ard_3-0-0_115076_2018-12-04_final
2018-12-04 11:48:02	ga_ls7e_ard_3-1-0_115077_2018-12-04_final
2018-12-04 11:48:26	ga_ls7e_ard_3-0-0_115078_2018-12-04_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