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
1999-08-14 11:22:57	ga_ls7e_ard_3-0-0_111084_1999-08-14_final
1999-10-22 11:37:28	ga_ls7e_ard_3-0-0_114074_1999-10-22_final
1999-10-22 11:37:51	ga_ls7e_ard_3-0-0_114075_1999-10-22_final
1999-10-22 11:38:15	ga_ls7e_ard_3-0-0_114076_1999-10-22_final
1999-10-22 11:38:39	ga_ls7e_ard_3-0-0_114077_1999-10-22_final
1999-10-22 11:39:03	ga_ls7e_ard_3-0-0_114078_1999-10-22_final
1999-10-24 11:27:55	ga_ls7e_ard_3-0-0_112081_1999-10-24_final
1999-10-24 11:28:19	ga_ls7e_ard_3-0-0_112082_1999-10-24_final
1999-10-24 11:28:43	ga_ls7e_ard_3-0-0_112083_1999-10-24_final
1999-10-24 11:29:07	ga_ls7e_ard_3-0-0_112084_1999-10-24_final
1999-11-25 11:27:50	ga_ls7e_ard_3-0-0_112081_1999-11-25_final
1999-11-25 11:28:14	ga_ls7e_ard_3-0-0_112082_1999-11-25_final
1999-11-25 11:28:37	ga_ls7e_ard_3-0-0_112083_1999-11-25_final
1999-11-25 11:29:01	ga_ls7e_ard_3-1-0_112084_1999-11-25_final
1999-12-02 11:32:27	ga_ls7e_ard_3-0-0_113077_1999-12-02_final
1999-12-02 11:32:51	ga_ls7e_ard_3-1-0_113078_1999-12-02_final
1999-12-02 11:33:14	ga_ls7e_ard_3-0-0_113079_1999-12-02_final
1999-12-02 11:33:38	ga_ls7e_ard_3-0-0_113080_1999-12-02_final
1999-12-02 11:34:02	ga_ls7e_ard_3-0-0_113081_1999-12-02_final
1999-12-02 11:34:26	ga_ls7e_ard_3-0-0_113082_1999-12-02_final
1999-12-04 11:22:55	ga_ls7e_ard_3-0-0_111084_1999-12-04_final
2007-10-21 11:29:06	ga_ls7e_ard_3-0-0_113076_2007-10-21_final
2007-10-21 11:29:30	ga_ls7e_ard_3-0-0_113077_2007-10-21_final
2007-10-21 11:29:54	ga_ls7e_ard_3-0-0_113078_2007-10-21_final
2007-10-21 11:30:18	ga_ls7e_ard_3-0-0_113079_2007-10-21_final
2007-10-21 11:30:42	ga_ls7e_ard_3-0-0_113080_2007-10-21_final
2007-10-21 11:31:06	ga_ls7e_ard_3-0-0_113081_2007-10-21_final
2007-10-21 11:31:30	ga_ls7e_ard_3-0-0_113082_2007-10-21_final
2007-11-29 11:34:51	ga_ls7e_ard_3-0-0_114074_2007-11-29_final
2007-11-29 11:35:15	ga_ls7e_ard_3-0-0_114075_2007-11-29_final
2007-11-29 11:35:39	ga_ls7e_ard_3-0-0_114076_2007-11-29_final
2007-11-29 11:36:03	ga_ls7e_ard_3-0-0_114077_2007-11-29_final
2007-11-29 11:36:27	ga_ls7e_ard_3-0-0_114078_2007-11-29_final
2007-12-01 11:26:05	ga_ls7e_ard_3-0-0_112083_2007-12-01_final
2008-02-26 11:29:52	ga_ls7e_ard_3-0-0_113077_2008-02-26_final
2008-02-26 11:30:16	ga_ls7e_ard_3-0-0_113078_2008-02-26_final
2008-02-26 11:30:40	ga_ls7e_ard_3-0-0_113079_2008-02-26_final
2008-02-26 11:31:04	ga_ls7e_ard_3-0-0_113080_2008-02-26_final
2008-02-26 11:31:28	ga_ls7e_ard_3-0-0_113081_2008-02-26_final
2008-02-26 11:31:52	ga_ls7e_ard_3-0-0_113082_2008-02-26_final
2008-03-04 11:34:48	ga_ls7e_ard_3-0-0_114074_2008-03-04_final
2008-03-04 11:35:12	ga_ls7e_ard_3-0-0_114075_2008-03-04_final
2008-03-04 11:35:36	ga_ls7e_ard_3-0-0_114076_2008-03-04_final
2008-03-04 11:36:00	ga_ls7e_ard_3-0-0_114077_2008-03-04_final
2008-03-04 11:36:24	ga_ls7e_ard_3-0-0_114078_2008-03-04_final
2008-03-06 11:25:14	ga_ls7e_ard_3-0-0_112081_2008-03-06_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-10-22 11:24:21	ga_ls7e_ard_3-1-0_113078_2019-10-22_final
2019-10-22 11:24:45	ga_ls7e_ard_3-1-0_113079_2019-10-22_final
2019-10-22 11:25:09	ga_ls7e_ard_3-1-0_113080_2019-10-22_final
2019-10-22 11:25:33	ga_ls7e_ard_3-1-0_113081_2019-10-22_final
2019-10-22 11:25:57	ga_ls7e_ard_3-1-0_113082_2019-10-22_final
2019-10-22 11:26:21	ga_ls7e_ard_3-1-0_113083_2019-10-22_final
2020-01-01 11:25:31	ga_ls7e_ard_3-1-0_114074_2020-01-01_final
2020-01-01 11:25:55	ga_ls7e_ard_3-1-0_114075_2020-01-01_final
2020-01-01 11:26:19	ga_ls7e_ard_3-1-0_114076_2020-01-01_final
2020-01-01 11:26:43	ga_ls7e_ard_3-1-0_114077_2020-01-01_final
2020-01-01 11:27:07	ga_ls7e_ard_3-1-0_114078_2020-01-01_final
2020-01-10 11:20:04	ga_ls7e_ard_3-1-0_113077_2020-01-10_final
2020-01-10 11:20:28	ga_ls7e_ard_3-1-0_113078_2020-01-10_final
2020-01-10 11:20:52	ga_ls7e_ard_3-1-0_113079_2020-01-10_final
2020-01-10 11:21:16	ga_ls7e_ard_3-1-0_113080_2020-01-10_final
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-01-10 11:22:28	ga_ls7e_ard_3-1-0_113083_2020-01-10_final
2020-01-17 11:24:43	ga_ls7e_ard_3-1-0_114074_2020-01-17_final
2020-01-17 11:25:07	ga_ls7e_ard_3-1-0_114075_2020-01-17_final
2020-01-17 11:25:31	ga_ls7e_ard_3-1-0_114076_2020-01-17_final
2020-01-17 11:25:55	ga_ls7e_ard_3-1-0_114077_2020-01-17_final
2020-01-17 11:26:19	ga_ls7e_ard_3-1-0_114078_2020-01-17_final
2020-02-04 11:14:15	ga_ls7e_ard_3-1-0_112081_2020-02-04_final
2020-02-04 11:14:39	ga_ls7e_ard_3-1-0_112082_2020-02-04_final
2020-02-04 11:15:03	ga_ls7e_ard_3-1-0_112083_2020-02-04_final
2020-02-04 11:15:27	ga_ls7e_ard_3-1-0_112084_2020-02-04_final
2020-02-18 11:23:06	ga_ls7e_ard_3-1-0_114074_2020-02-18_final
2020-02-18 11:23:30	ga_ls7e_ard_3-1-0_114075_2020-02-18_final
2020-02-18 11:23:54	ga_ls7e_ard_3-1-0_114076_2020-02-18_final
2020-02-18 11:24:17	ga_ls7e_ard_3-1-0_114077_2020-02-18_final
2020-02-18 11:24:41	ga_ls7e_ard_3-1-0_114078_2020-02-18_final
2020-04-06 11:20:28	ga_ls7e_ard_3-1-0_114074_2020-04-06_final
2020-04-06 11:20:52	ga_ls7e_ard_3-1-0_114075_2020-04-06_final
2020-04-06 11:21:16	ga_ls7e_ard_3-1-0_114076_2020-04-06_final
2020-04-06 11:21:40	ga_ls7e_ard_3-1-0_114077_2020-04-06_final
2020-05-24 11:17:35	ga_ls7e_ard_3-1-0_114074_2020-05-24_final
2020-05-24 11:17:59	ga_ls7e_ard_3-1-0_114075_2020-05-24_final
2020-05-24 11:18:23	ga_ls7e_ard_3-1-0_114076_2020-05-24_final
2020-05-26 11:07:53	ga_ls7e_ard_3-1-0_112081_2020-05-26_final
2020-05-26 11:08:17	ga_ls7e_ard_3-1-0_112082_2020-05-26_final
2020-05-26 11:08:41	ga_ls7e_ard_3-1-0_112083_2020-05-26_final
2020-05-26 11:09:05	ga_ls7e_ard_3-1-0_112084_2020-05-26_final
2020-06-18 11:11:08	ga_ls7e_ard_3-1-0_113077_2020-06-18_final
2020-06-18 11:11:32	ga_ls7e_ard_3-1-0_113078_2020-06-18_final
2020-06-18 11:11:56	ga_ls7e_ard_3-1-0_113079_2020-06-18_final
2020-06-18 11:12:20	ga_ls7e_ard_3-1-0_113080_2020-06-18_final
2020-06-18 11:12:44	ga_ls7e_ard_3-1-0_113081_2020-06-18_final
2020-06-18 11:13:08	ga_ls7e_ard_3-1-0_113082_2020-06-18_final
2020-06-18 11:13:32	ga_ls7e_ard_3-1-0_113083_2020-06-18_final
2020-06-27 11:06:01	ga_ls7e_ard_3-1-0_112081_2020-06-27_final
2020-06-27 11:06:25	ga_ls7e_ard_3-1-0_112082_2020-06-27_final
2020-06-27 11:06:49	ga_ls7e_ard_3-1-0_112083_2020-06-27_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years