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
2011-10-07 11:37:50	ga_ls7e_ard_3-0-0_114074_2011-10-07_final
2011-10-07 11:38:14	ga_ls7e_ard_3-0-0_114075_2011-10-07_final
2011-10-07 11:38:38	ga_ls7e_ard_3-0-0_114076_2011-10-07_final
2011-10-07 11:39:02	ga_ls7e_ard_3-0-0_114077_2011-10-07_final
2011-10-07 11:39:26	ga_ls7e_ard_3-0-0_114078_2011-10-07_final
2011-10-07 11:39:50	ga_ls7e_ard_3-0-0_114079_2011-10-07_final
2011-10-07 11:40:14	ga_ls7e_ard_3-0-0_114080_2011-10-07_final
2011-11-26 11:29:33	ga_ls7e_ard_3-0-0_112083_2011-11-26_final
2011-11-26 11:29:57	ga_ls7e_ard_3-0-0_112084_2011-11-26_final
2011-12-01 11:44:32	ga_ls7e_ard_3-0-0_115074_2011-12-01_final
2011-12-01 11:44:56	ga_ls7e_ard_3-0-0_115075_2011-12-01_final
2011-12-01 11:45:20	ga_ls7e_ard_3-0-0_115076_2011-12-01_final
2011-12-03 11:34:11	ga_ls7e_ard_3-0-0_113079_2011-12-03_final
2011-12-03 11:34:35	ga_ls7e_ard_3-0-0_113080_2011-12-03_final
2011-12-03 11:34:59	ga_ls7e_ard_3-0-0_113081_2011-12-03_final
2011-12-03 11:35:23	ga_ls7e_ard_3-0-0_113082_2011-12-03_final
2011-12-03 11:35:47	ga_ls7e_ard_3-0-0_113083_2011-12-03_final
2011-12-03 11:36:11	ga_ls7e_ard_3-0-0_113084_2011-12-03_final
2011-12-28 11:29:26	ga_ls7e_ard_3-0-0_112082_2011-12-28_final
2011-12-28 11:29:50	ga_ls7e_ard_3-0-0_112083_2011-12-28_final
2011-12-28 11:30:14	ga_ls7e_ard_3-0-0_112084_2011-12-28_final
2012-01-02 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-02_final
2012-01-02 11:45:13	ga_ls7e_ard_3-0-0_115075_2012-01-02_final
2012-04-25 11:34:20	ga_ls7e_ard_3-0-0_113078_2012-04-25_final
2012-04-25 11:34:44	ga_ls7e_ard_3-0-0_113079_2012-04-25_final
2012-04-25 11:35:08	ga_ls7e_ard_3-0-0_113080_2012-04-25_final
2012-04-25 11:35:32	ga_ls7e_ard_3-0-0_113081_2012-04-25_final
2012-04-25 11:35:56	ga_ls7e_ard_3-0-0_113082_2012-04-25_final
2012-04-25 11:36:20	ga_ls7e_ard_3-0-0_113083_2012-04-25_final
2012-04-25 11:36:44	ga_ls7e_ard_3-0-0_113084_2012-04-25_final
2017-12-01 11:53:18	ga_ls7e_ard_3-0-0_115074_2017-12-01_final
2017-12-01 11:53:42	ga_ls7e_ard_3-0-0_115075_2017-12-01_final
2017-12-03 11:42:55	ga_ls7e_ard_3-0-0_113079_2017-12-03_final
2017-12-03 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-12-03_final
2017-12-03 11:44:07	ga_ls7e_ard_3-0-0_113082_2017-12-03_final
2017-12-03 11:44:31	ga_ls7e_ard_3-0-0_113083_2017-12-03_final
2017-12-03 11:44:55	ga_ls7e_ard_3-0-0_113084_2017-12-03_final
2018-08-09 11:34:33	ga_ls7e_ard_3-0-0_112083_2018-08-09_final
2018-08-09 11:34:56	ga_ls7e_ard_3-0-0_112084_2018-08-09_final
2018-08-14 11:49:24	ga_ls7e_ard_3-0-0_115074_2018-08-14_final
2018-08-14 11:49:48	ga_ls7e_ard_3-0-0_115075_2018-08-14_final
2018-08-14 11:50:12	ga_ls7e_ard_3-0-0_115076_2018-08-14_final
2018-08-16 11:39:00	ga_ls7e_ard_3-0-0_113079_2018-08-16_final
2018-08-16 11:39:23	ga_ls7e_ard_3-0-0_113080_2018-08-16_final
2018-08-16 11:39:47	ga_ls7e_ard_3-0-0_113081_2018-08-16_final
2018-08-16 11:40:11	ga_ls7e_ard_3-0-0_113082_2018-08-16_final
2018-08-16 11:40:35	ga_ls7e_ard_3-0-0_113083_2018-08-16_final
2018-08-16 11:40:59	ga_ls7e_ard_3-0-0_113084_2018-08-16_final
2018-08-25 11:34:14	ga_ls7e_ard_3-0-0_112083_2018-08-25_final
2018-08-25 11:34:38	ga_ls7e_ard_3-0-0_112084_2018-08-25_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-08-30 11:49:28	ga_ls7e_ard_3-0-0_115075_2018-08-30_final
2018-08-30 11:49:52	ga_ls7e_ard_3-0-0_115076_2018-08-30_final
2018-09-01 11:38:40	ga_ls7e_ard_3-0-0_113079_2018-09-01_final
2018-09-01 11:39:04	ga_ls7e_ard_3-0-0_113080_2018-09-01_final
2018-09-01 11:39:28	ga_ls7e_ard_3-0-0_113081_2018-09-01_final
2018-09-01 11:39:52	ga_ls7e_ard_3-0-0_113082_2018-09-01_final
2018-09-01 11:40:16	ga_ls7e_ard_3-0-0_113083_2018-09-01_final
2018-09-01 11:40:40	ga_ls7e_ard_3-0-0_113084_2018-09-01_final
2019-09-04 11:26:48	ga_ls7e_ard_3-1-0_113079_2019-09-04_final
2019-09-04 11:27:12	ga_ls7e_ard_3-1-0_113080_2019-09-04_final
2019-09-04 11:27:36	ga_ls7e_ard_3-1-0_113081_2019-09-04_final
2019-09-04 11:28:00	ga_ls7e_ard_3-1-0_113082_2019-09-04_final
2019-09-04 11:28:24	ga_ls7e_ard_3-1-0_113083_2019-09-04_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-27 11:29:59	ga_ls7e_ard_3-1-0_114074_2019-09-27_final
2019-09-27 11:30:23	ga_ls7e_ard_3-1-0_114075_2019-09-27_final
2019-09-27 11:30:47	ga_ls7e_ard_3-1-0_114076_2019-09-27_final
2019-09-27 11:31:11	ga_ls7e_ard_3-1-0_114077_2019-09-27_final
2019-09-27 11:31:35	ga_ls7e_ard_3-1-0_114078_2019-09-27_final
2019-09-27 11:31:58	ga_ls7e_ard_3-1-0_114079_2019-09-27_final
2019-09-27 11:32:22	ga_ls7e_ard_3-1-0_114080_2019-09-27_final
2019-10-29 11:28:38	ga_ls7e_ard_3-1-0_114074_2019-10-29_final
2019-10-29 11:29:02	ga_ls7e_ard_3-1-0_114075_2019-10-29_final
2019-10-29 11:29:26	ga_ls7e_ard_3-1-0_114076_2019-10-29_final
2019-10-29 11:29:50	ga_ls7e_ard_3-1-0_114077_2019-10-29_final
2019-10-29 11:30:14	ga_ls7e_ard_3-1-0_114078_2019-10-29_final
2019-10-29 11:30:38	ga_ls7e_ard_3-1-0_114079_2019-10-29_final
2019-10-29 11:31:02	ga_ls7e_ard_3-1-0_114080_2019-10-29_final
2019-11-14 11:27:54	ga_ls7e_ard_3-1-0_114074_2019-11-14_final
2019-11-14 11:28:18	ga_ls7e_ard_3-1-0_114075_2019-11-14_final
2019-11-14 11:28:42	ga_ls7e_ard_3-1-0_114076_2019-11-14_final
2019-12-07 11:32:59	ga_ls7e_ard_3-1-0_115074_2019-12-07_final
2019-12-07 11:33:23	ga_ls7e_ard_3-1-0_115075_2019-12-07_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2019-12-09 11:22:31	ga_ls7e_ard_3-1-0_113079_2019-12-09_final
2019-12-09 11:22:55	ga_ls7e_ard_3-1-0_113080_2019-12-09_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2019-12-23 11:32:10	ga_ls7e_ard_3-1-0_115074_2019-12-23_final
2019-12-23 11:32:34	ga_ls7e_ard_3-1-0_115075_2019-12-23_final
2019-12-23 11:32:58	ga_ls7e_ard_3-1-0_115076_2019-12-23_final
2019-12-25 11:22:30	ga_ls7e_ard_3-1-0_113081_2019-12-25_final
2019-12-25 11:22:54	ga_ls7e_ard_3-1-0_113082_2019-12-25_final
2019-12-25 11:23:18	ga_ls7e_ard_3-1-0_113083_2019-12-25_final
2019-12-25 11:23:42	ga_ls7e_ard_3-1-0_113084_2019-12-25_final
2020-02-09 11:29:45	ga_ls7e_ard_3-1-0_115074_2020-02-09_final
2020-02-09 11:30:08	ga_ls7e_ard_3-1-0_115075_2020-02-09_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