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
1999-10-29 11:45:17	ga_ls7e_ard_3-0-0_115078_1999-10-29_final
2000-02-02 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-02-02_final
2000-02-18 11:43:53	ga_ls7e_ard_3-0-0_115075_2000-02-18_final
2000-11-25 11:36:33	ga_ls7e_ard_3-0-0_114078_2000-11-25_final
2001-02-04 11:41:39	ga_ls7e_ard_3-0-0_115075_2001-02-04_final
2001-03-17 11:37:17	ga_ls7e_ard_3-0-0_114080_2001-03-17_final
2001-07-07 11:35:59	ga_ls7e_ard_3-0-0_114079_2001-07-07_final
2003-07-20 11:39:21	ga_ls7e_ard_3-0-0_115074_2003-07-20_final
2003-10-01 11:34:24	ga_ls7e_ard_3-0-0_114078_2003-10-01_final
2005-04-13 11:35:48	ga_ls7e_ard_3-0-0_114078_2005-04-13_final
2005-09-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2005-09-27_final
2007-05-05 11:36:39	ga_ls7e_ard_3-0-0_114078_2007-05-05_final
2008-04-05 11:35:34	ga_ls7e_ard_3-0-0_114076_2008-04-05_final
2008-04-21 11:35:32	ga_ls7e_ard_3-0-0_114076_2008-04-21_final
2008-11-15 11:35:46	ga_ls7e_ard_3-0-0_114079_2008-11-15_final
2011-02-25 11:39:43	ga_ls7e_ard_3-0-0_114078_2011-02-25_final
2011-08-20 11:40:25	ga_ls7e_ard_3-0-0_114080_2011-08-20_final
2011-10-30 11:44:10	ga_ls7e_ard_3-0-0_115074_2011-10-30_final
2012-07-12 11:45:57	ga_ls7e_ard_3-0-0_115075_2012-07-12_final
2012-12-03 11:47:58	ga_ls7e_ard_3-1-0_115077_2012-12-03_final
2012-12-19 11:46:55	ga_ls7e_ard_3-0-0_115074_2012-12-19_final
2013-08-09 11:41:24	ga_ls7e_ard_3-0-0_114078_2013-08-09_final
2013-10-28 11:42:17	ga_ls7e_ard_3-0-0_114078_2013-10-28_final
2014-04-22 11:43:24	ga_ls7e_ard_3-0-0_114078_2014-04-22_final
2014-10-22 11:48:53	ga_ls7e_ard_3-0-0_115074_2014-10-22_final
2015-06-03 11:51:56	ga_ls7e_ard_3-0-0_115078_2015-06-03_final
2015-11-03 11:47:29	ga_ls7e_ard_3-0-0_114080_2015-11-03_final
2016-02-23 11:47:18	ga_ls7e_ard_3-0-0_114076_2016-02-23_final
2016-06-14 11:49:34	ga_ls7e_ard_3-0-0_114080_2016-06-14_final
2016-12-07 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-12-07_final
2017-03-13 11:48:47	ga_ls7e_ard_3-0-0_114079_2017-03-13_final
2017-04-05 11:54:40	ga_ls7e_ard_3-0-0_115078_2017-04-05_final
2017-08-04 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-08-04_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2018-02-12 11:47:22	ga_ls7e_ard_3-0-0_114077_2018-02-12_final
2020-10-06 11:15:22	ga_ls7e_ard_3-1-0_115074_2020-10-06_final
2020-11-21 09:44:58	ga_ls7e_ard_3-1-0_101072_2020-11-21_final
2020-11-27 10:49:56	ga_ls7e_ard_3-1-0_111081_2020-11-27_final
2020-12-09 09:31:41	ga_ls7e_ard_3-1-0_099073_2020-12-09_final
2020-12-11 11:02:03	ga_ls7e_ard_3-1-0_113083_2020-12-11_final
2020-12-24 10:30:34	ga_ls7e_ard_3-1-0_108084_2020-12-24_final
2021-01-14 10:46:27	ga_ls7e_ard_3-1-0_111081_2021-01-14_final
2021-01-30 10:43:42	ga_ls7e_ard_3-2-0_111077_2021-01-30_final
2021-02-02 09:36:18	ga_ls7e_ard_3-2-0_100079_2021-02-02_final
2021-02-05 10:06:59	ga_ls7e_ard_3-2-0_105079_2021-02-05_final
2021-02-17 08:52:43	ga_ls7e_ard_3-2-0_093081_2021-02-16_final
2021-03-04 09:45:12	ga_ls7e_ard_3-2-0_102076_2021-03-04_final
2021-03-05 08:51:06	ga_ls7e_ard_3-2-0_093080_2021-03-04_final
2021-04-13 08:51:19	ga_ls7e_ard_3-2-0_094073_2021-04-12_final
2021-04-14 09:37:41	ga_ls7e_ard_3-2-0_101081_2021-04-14_final
2021-05-01 08:43:50	ga_ls7e_ard_3-2-0_092089_2021-04-30_final
2021-05-01 10:19:31	ga_ls7e_ard_3-2-0_108081_2021-05-01_final
2021-05-04 09:11:41	ga_ls7e_ard_3-2-0_097082_2021-05-03_final
2021-05-13 09:01:10	ga_ls7e_ard_3-2-0_096073_2021-05-12_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-05-26 10:10:25	ga_ls7e_ard_3-2-0_107079_2021-05-26_final
2021-05-28 08:19:25	ga_ls7e_ard_3-2-0_089080_2021-05-27_final
2021-05-29 09:00:59	ga_ls7e_ard_3-2-0_096076_2021-05-28_final
2021-05-29 09:03:23	ga_ls7e_ard_3-2-0_096082_2021-05-28_final
2021-06-01 09:30:26	ga_ls7e_ard_3-2-0_101073_2021-06-01_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-05 09:04:59	ga_ls7e_ard_3-2-0_097072_2021-06-04_final
2021-06-06 09:50:57	ga_ls7e_ard_3-2-0_104079_2021-06-06_final
2021-06-08 09:37:14	ga_ls7e_ard_3-2-0_102076_2021-06-08_final
2021-06-13 09:53:47	ga_ls7e_ard_3-2-0_105072_2021-06-13_final
2021-06-13 09:56:10	ga_ls7e_ard_3-2-0_105078_2021-06-13_final
2021-06-28 09:12:05	ga_ls7e_ard_3-2-0_098079_2021-06-27_final
2021-07-04 08:35:41	ga_ls7e_ard_3-2-0_092082_2021-07-03_final
2021-07-11 10:15:46	ga_ls7e_ard_3-2-0_109071_2021-07-11_final
2021-07-13 08:29:33	ga_ls7e_ard_3-2-0_091084_2021-07-12_final
2021-07-19 09:26:50	ga_ls7e_ard_3-2-0_101074_2021-07-18_final
2021-07-25 08:53:38	ga_ls7e_ard_3-2-0_095085_2021-07-24_final
2021-07-30 09:08:32	ga_ls7e_ard_3-2-0_098077_2021-07-29_final
2021-07-30 10:47:01	ga_ls7e_ard_3-2-0_114076_2021-07-30_final
2021-08-05 10:09:24	ga_ls7e_ard_3-2-0_108076_2021-08-05_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-08-27 09:27:36	ga_ls7e_ard_3-2-0_102069_2021-08-26_final
2021-09-07 09:07:43	ga_ls7e_ard_3-2-0_099068_2021-09-06_final
2021-09-13 08:32:30	ga_ls7e_ard_3-2-0_093074_2021-09-12_final
2021-09-17 09:47:30	ga_ls7e_ard_3-2-0_105077_2021-09-17_final
2021-09-24 08:14:58	ga_ls7e_ard_3-2-0_090079_2021-09-23_final
2021-10-10 08:13:33	ga_ls7e_ard_3-2-0_090079_2021-10-09_final
2021-10-10 09:51:38	ga_ls7e_ard_3-2-0_106077_2021-10-10_final
2021-10-15 10:07:44	ga_ls7e_ard_3-2-0_109072_2021-10-15_final
2021-10-15 10:08:08	ga_ls7e_ard_3-2-0_109073_2021-10-15_final
2021-10-22 08:36:00	ga_ls7e_ard_3-2-0_094076_2021-10-21_final
2021-10-22 08:39:12	ga_ls7e_ard_3-2-0_094084_2021-10-21_final
2021-10-24 09:59:33	ga_ls7e_ard_3-2-0_108069_2021-10-24_final
2021-10-27 10:35:45	ga_ls7e_ard_3-2-0_113083_2021-10-27_final
2021-11-02 08:18:50	ga_ls7e_ard_3-2-0_091082_2021-11-01_final
2021-11-17 09:09:49	ga_ls7e_ard_3-2-1_100074_2021-11-16_final
2021-12-23 08:42:51	ga_ls7e_ard_3-2-1_096077_2021-12-22_final
2021-12-29 09:44:27	ga_ls7e_ard_3-2-1_106078_2021-12-29_final
2022-01-22 08:48:19	ga_ls7e_ard_3-2-1_098067_2022-01-21_final
2022-02-09 08:36:56	ga_ls7e_ard_3-2-1_096074_2022-02-08_final
2022-02-10 09:21:18	ga_ls7e_ard_3-2-1_103077_2022-02-09_final
2022-02-25 10:17:26	ga_ls7e_ard_3-2-1_112082_2022-02-25_final
2022-03-08 08:18:33	ga_ls7e_ard_3-2-1_093081_2022-03-07_final
2022-03-13 08:38:10	ga_ls7e_ard_3-2-1_096085_2022-03-12_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_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