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
2003-12-27 11:39:42	ga_ls7e_ard_3-0-0_115074_2003-12-27_final
2003-12-27 11:40:06	ga_ls7e_ard_3-0-0_115075_2003-12-27_final
2003-12-27 11:40:29	ga_ls7e_ard_3-0-0_115076_2003-12-27_final
2003-12-27 11:40:53	ga_ls7e_ard_3-0-0_115077_2003-12-27_final
2003-12-27 11:41:17	ga_ls7e_ard_3-0-0_115078_2003-12-27_final
2003-12-29 11:29:44	ga_ls7e_ard_3-1-0_113080_2003-12-29_final
2003-12-29 11:30:08	ga_ls7e_ard_3-0-0_113081_2003-12-29_final
2003-12-29 11:30:32	ga_ls7e_ard_3-0-0_113082_2003-12-29_final
2003-12-29 11:30:56	ga_ls7e_ard_3-0-0_113083_2003-12-29_final
2003-12-29 11:31:20	ga_ls7e_ard_3-0-0_113084_2003-12-29_final
2004-02-22 11:34:31	ga_ls7e_ard_3-0-0_114076_2004-02-22_final
2004-02-22 11:34:55	ga_ls7e_ard_3-0-0_114077_2004-02-22_final
2004-02-22 11:35:19	ga_ls7e_ard_3-0-0_114078_2004-02-22_final
2004-02-22 11:35:43	ga_ls7e_ard_3-0-0_114079_2004-02-22_final
2004-02-22 11:36:07	ga_ls7e_ard_3-0-0_114080_2004-02-22_final
2004-02-24 11:25:21	ga_ls7e_ard_3-1-0_112084_2004-02-24_final
2004-03-16 11:40:04	ga_ls7e_ard_3-0-0_115074_2004-03-16_final
2004-03-16 11:40:28	ga_ls7e_ard_3-0-0_115075_2004-03-16_final
2004-03-18 11:30:06	ga_ls7e_ard_3-0-0_113080_2004-03-18_final
2004-03-18 11:30:30	ga_ls7e_ard_3-0-0_113081_2004-03-18_final
2004-03-18 11:30:54	ga_ls7e_ard_3-0-0_113082_2004-03-18_final
2004-03-18 11:31:18	ga_ls7e_ard_3-0-0_113083_2004-03-18_final
2004-03-18 11:31:42	ga_ls7e_ard_3-0-0_113084_2004-03-18_final
2004-04-26 11:34:34	ga_ls7e_ard_3-0-0_114076_2004-04-26_final
2004-04-26 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-04-26_final
2004-04-26 11:35:22	ga_ls7e_ard_3-0-0_114078_2004-04-26_final
2004-04-26 11:35:46	ga_ls7e_ard_3-0-0_114079_2004-04-26_final
2004-04-26 11:36:10	ga_ls7e_ard_3-0-0_114080_2004-04-26_final
2004-04-26 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-04-26_final
2004-05-12 11:34:37	ga_ls7e_ard_3-0-0_114076_2004-05-12_final
2004-05-12 11:35:01	ga_ls7e_ard_3-0-0_114077_2004-05-12_final
2004-05-12 11:35:25	ga_ls7e_ard_3-0-0_114078_2004-05-12_final
2004-05-12 11:35:49	ga_ls7e_ard_3-0-0_114079_2004-05-12_final
2004-05-12 11:36:13	ga_ls7e_ard_3-0-0_114080_2004-05-12_final
2016-05-29 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-05-29_final
2016-05-29 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-05-29_final
2016-05-29 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-05-29_final
2016-05-29 11:49:06	ga_ls7e_ard_3-0-0_114079_2016-05-29_final
2016-05-29 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-05-29_final
2016-05-31 11:38:45	ga_ls7e_ard_3-1-0_112084_2016-05-31_final
2016-06-07 11:43:22	ga_ls7e_ard_3-1-0_113080_2016-06-07_final
2016-06-07 11:44:10	ga_ls7e_ard_3-0-0_113082_2016-06-07_final
2016-06-07 11:44:34	ga_ls7e_ard_3-0-0_113083_2016-06-07_final
2016-06-14 11:47:58	ga_ls7e_ard_3-0-0_114076_2016-06-14_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2016-06-14 11:48:46	ga_ls7e_ard_3-0-0_114078_2016-06-14_final
2016-06-14 11:49:10	ga_ls7e_ard_3-0-0_114079_2016-06-14_final
2016-06-14 11:49:34	ga_ls7e_ard_3-0-0_114080_2016-06-14_final
2016-06-14 11:49:58	ga_ls7e_ard_3-0-0_114081_2016-06-14_final
2016-06-16 11:38:49	ga_ls7e_ard_3-0-0_112084_2016-06-16_final
2016-06-30 11:47:59	ga_ls7e_ard_3-0-0_114076_2016-06-30_final
2016-06-30 11:48:23	ga_ls7e_ard_3-0-0_114077_2016-06-30_final
2016-06-30 11:48:47	ga_ls7e_ard_3-0-0_114078_2016-06-30_final
2016-06-30 11:49:11	ga_ls7e_ard_3-0-0_114079_2016-06-30_final
2016-06-30 11:49:35	ga_ls7e_ard_3-0-0_114080_2016-06-30_final
2016-06-30 11:49:59	ga_ls7e_ard_3-0-0_114081_2016-06-30_final
2016-07-02 11:38:49	ga_ls7e_ard_3-1-0_112084_2016-07-02_final
2016-09-02 11:48:07	ga_ls7e_ard_3-0-0_114076_2016-09-02_final
2016-09-02 11:48:31	ga_ls7e_ard_3-0-0_114077_2016-09-02_final
2016-09-02 11:48:55	ga_ls7e_ard_3-0-0_114078_2016-09-02_final
2016-09-02 11:49:19	ga_ls7e_ard_3-0-0_114079_2016-09-02_final
2016-09-02 11:49:43	ga_ls7e_ard_3-0-0_114080_2016-09-02_final
2016-12-14 11:53:15	ga_ls7e_ard_3-0-0_115074_2016-12-14_final
2016-12-14 11:53:39	ga_ls7e_ard_3-0-0_115075_2016-12-14_final
2016-12-14 11:54:03	ga_ls7e_ard_3-0-0_115076_2016-12-14_final
2016-12-14 11:54:27	ga_ls7e_ard_3-1-0_115077_2016-12-14_final
2016-12-14 11:54:51	ga_ls7e_ard_3-0-0_115078_2016-12-14_final
2016-12-16 11:43:16	ga_ls7e_ard_3-0-0_113080_2016-12-16_final
2016-12-16 11:43:40	ga_ls7e_ard_3-0-0_113081_2016-12-16_final
2016-12-16 11:44:04	ga_ls7e_ard_3-0-0_113082_2016-12-16_final
2016-12-16 11:44:28	ga_ls7e_ard_3-0-0_113083_2016-12-16_final
2016-12-16 11:44:52	ga_ls7e_ard_3-0-0_113084_2016-12-16_final
2019-06-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2019-06-25_final
2019-06-30 11:39:52	ga_ls7e_ard_3-0-0_115074_2019-06-30_final
2019-06-30 11:40:16	ga_ls7e_ard_3-0-0_115075_2019-06-30_final
2019-06-30 11:40:40	ga_ls7e_ard_3-0-0_115076_2019-06-30_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-06-30 11:41:28	ga_ls7e_ard_3-0-0_115078_2019-06-30_final
2019-12-16 11:27:09	ga_ls7e_ard_3-1-0_114076_2019-12-16_final
2019-12-16 11:27:33	ga_ls7e_ard_3-1-0_114077_2019-12-16_final
2019-12-16 11:27:57	ga_ls7e_ard_3-1-0_114078_2019-12-16_final
2019-12-16 11:28:21	ga_ls7e_ard_3-1-0_114079_2019-12-16_final
2019-12-16 11:28:45	ga_ls7e_ard_3-1-0_114080_2019-12-16_final
2019-12-16 11:29:09	ga_ls7e_ard_3-1-0_114081_2019-12-16_final
2020-03-21 11:22:10	ga_ls7e_ard_3-1-0_114076_2020-03-21_final
2020-03-21 11:22:34	ga_ls7e_ard_3-1-0_114077_2020-03-21_final
2020-03-21 11:22:58	ga_ls7e_ard_3-1-0_114078_2020-03-21_final
2020-03-21 11:23:22	ga_ls7e_ard_3-1-0_114079_2020-03-21_final
2020-03-21 11:23:46	ga_ls7e_ard_3-1-0_114080_2020-03-21_final
2020-03-21 11:24:10	ga_ls7e_ard_3-1-0_114081_2020-03-21_final
2020-03-23 11:12:53	ga_ls7e_ard_3-1-0_112084_2020-03-23_final
2020-05-15 11:24:19	ga_ls7e_ard_3-1-0_115074_2020-05-15_final
2020-05-15 11:24:43	ga_ls7e_ard_3-1-0_115075_2020-05-15_final
2020-05-15 11:25:07	ga_ls7e_ard_3-1-0_115076_2020-05-15_final
2020-05-15 11:25:31	ga_ls7e_ard_3-1-0_115077_2020-05-15_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-05-17 11:14:38	ga_ls7e_ard_3-1-0_113081_2020-05-17_final
2020-05-17 11:15:02	ga_ls7e_ard_3-1-0_113082_2020-05-17_final
2020-05-17 11:15:26	ga_ls7e_ard_3-1-0_113083_2020-05-17_final
2020-05-17 11:15:50	ga_ls7e_ard_3-1-0_113084_2020-05-17_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