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
1999-08-19 11:39:03	ga_ls7e_ard_3-0-0_114078_1999-08-19_final
1999-11-07 11:40:19	ga_ls7e_ard_3-0-0_114081_1999-11-07_final
2000-05-08 11:43:46	ga_ls7e_ard_3-0-0_115076_2000-05-08_final
2002-09-19 11:38:34	ga_ls7e_ard_3-0-0_115074_2002-09-19_final
2004-06-13 11:35:16	ga_ls7e_ard_3-0-0_114078_2004-06-13_final
2008-10-14 11:35:16	ga_ls7e_ard_3-0-0_114079_2008-10-14_final
2008-10-30 11:34:21	ga_ls7e_ard_3-0-0_114076_2008-10-30_final
2009-02-19 11:35:22	ga_ls7e_ard_3-0-0_114076_2009-02-19_final
2009-11-02 11:37:03	ga_ls7e_ard_3-0-0_114079_2009-11-02_final
2010-11-05 11:38:00	ga_ls7e_ard_3-0-0_114076_2010-11-05_final
2012-05-25 11:46:35	ga_ls7e_ard_3-1-0_115077_2012-05-25_final
2012-07-21 11:40:16	ga_ls7e_ard_3-0-0_114076_2012-07-21_final
2013-10-28 11:41:30	ga_ls7e_ard_3-0-0_114076_2013-10-28_final
2014-07-11 11:44:09	ga_ls7e_ard_3-0-0_114079_2014-07-11_final
2015-09-16 11:46:57	ga_ls7e_ard_3-0-0_114080_2015-09-16_final
2016-04-18 11:53:54	ga_ls7e_ard_3-0-0_115076_2016-04-18_final
2017-09-21 11:49:12	ga_ls7e_ard_3-0-0_114079_2017-09-21_final
2020-11-27 09:11:51	ga_ls7e_ard_3-1-0_095083_2020-11-26_final
2020-11-27 10:47:56	ga_ls7e_ard_3-1-0_111076_2020-11-27_final
2020-12-13 09:07:52	ga_ls7e_ard_3-1-0_095076_2020-12-12_final
2020-12-20 10:53:11	ga_ls7e_ard_3-1-0_112078_2020-12-20_final
2021-01-05 10:52:04	ga_ls7e_ard_3-1-0_112078_2021-01-05_final
2021-01-10 09:30:35	ga_ls7e_ard_3-1-0_099076_2021-01-10_final
2021-01-14 10:44:51	ga_ls7e_ard_3-1-0_111077_2021-01-14_final
2021-01-20 10:07:45	ga_ls7e_ard_3-2-0_105078_2021-01-20_final
2021-01-23 09:02:21	ga_ls7e_ard_3-2-0_094085_2021-01-22_final
2021-01-30 10:44:06	ga_ls7e_ard_3-2-0_111078_2021-01-30_final
2021-02-04 09:21:24	ga_ls7e_ard_3-2-0_098073_2021-02-03_final
2021-02-08 09:01:10	ga_ls7e_ard_3-2-0_094085_2021-02-07_final
2021-02-18 09:33:31	ga_ls7e_ard_3-2-0_100075_2021-02-18_final
2021-02-19 08:41:00	ga_ls7e_ard_3-2-0_091083_2021-02-18_final
2021-02-22 09:11:17	ga_ls7e_ard_3-2-0_096082_2021-02-21_final
2021-02-22 10:47:46	ga_ls7e_ard_3-2-0_112076_2021-02-22_final
2021-03-07 08:37:23	ga_ls7e_ard_3-2-0_091077_2021-03-06_final
2021-03-07 10:14:16	ga_ls7e_ard_3-2-0_107072_2021-03-07_final
2021-03-21 10:29:06	ga_ls7e_ard_3-2-0_109081_2021-03-21_final
2021-03-27 09:49:09	ga_ls7e_ard_3-2-0_103075_2021-03-27_final
2021-04-12 09:50:13	ga_ls7e_ard_3-2-0_103081_2021-04-12_final
2021-04-14 09:34:54	ga_ls7e_ard_3-2-0_101074_2021-04-14_final
2021-04-15 08:43:35	ga_ls7e_ard_3-2-0_092085_2021-04-14_final
2021-04-16 09:25:10	ga_ls7e_ard_3-2-0_099081_2021-04-15_final
2021-04-26 08:22:07	ga_ls7e_ard_3-2-0_089080_2021-04-25_final
2021-05-14 09:43:08	ga_ls7e_ard_3-2-0_103070_2021-05-14_final
2021-05-16 09:32:36	ga_ls7e_ard_3-2-0_101075_2021-05-16_final
2021-05-19 10:06:26	ga_ls7e_ard_3-2-0_106083_2021-05-19_final
2021-05-22 10:34:17	ga_ls7e_ard_3-2-0_111076_2021-05-22_final
2021-05-27 10:48:49	ga_ls7e_ard_3-2-0_114067_2021-05-27_final
2021-05-29 09:01:23	ga_ls7e_ard_3-2-0_096077_2021-05-28_final
2021-06-09 10:21:13	ga_ls7e_ard_3-2-0_109078_2021-06-09_final
2021-06-12 10:51:05	ga_ls7e_ard_3-2-0_114076_2021-06-12_final
2021-06-26 09:22:12	ga_ls7e_ard_3-2-0_100073_2021-06-25_final
2021-06-28 09:13:16	ga_ls7e_ard_3-2-0_098082_2021-06-27_final
2021-07-15 09:50:18	ga_ls7e_ard_3-2-0_105070_2021-07-15_final
2021-07-18 10:24:56	ga_ls7e_ard_3-2-0_110080_2021-07-18_final
2021-07-23 10:41:27	ga_ls7e_ard_3-2-0_113076_2021-07-23_final
2021-07-26 09:32:25	ga_ls7e_ard_3-2-0_102074_2021-07-26_final
2021-08-07 08:19:35	ga_ls7e_ard_3-2-0_090080_2021-08-06_final
2021-08-08 09:04:21	ga_ls7e_ard_3-2-0_097084_2021-08-07_final
2021-08-14 10:02:25	ga_ls7e_ard_3-2-0_107076_2021-08-14_final
2021-08-23 08:19:47	ga_ls7e_ard_3-2-0_090084_2021-08-22_final
2021-09-10 09:39:57	ga_ls7e_ard_3-2-0_104072_2021-09-10_final
2021-09-11 08:49:01	ga_ls7e_ard_3-2-0_095084_2021-09-10_final
2021-09-11 10:25:54	ga_ls7e_ard_3-2-0_111079_2021-09-11_final
2021-09-24 09:54:15	ga_ls7e_ard_3-2-0_106080_2021-09-24_final
2021-09-25 10:35:49	ga_ls7e_ard_3-2-0_113076_2021-09-25_final
2021-09-27 08:44:24	ga_ls7e_ard_3-2-0_095076_2021-09-26_final
2021-09-28 09:28:46	ga_ls7e_ard_3-2-0_102079_2021-09-27_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-04 08:50:46	ga_ls7e_ard_3-2-0_096078_2021-10-03_final
2021-10-07 09:22:12	ga_ls7e_ard_3-2-0_101080_2021-10-06_final
2021-10-11 08:54:20	ga_ls7e_ard_3-2-0_097073_2021-10-10_final
2021-10-15 10:10:56	ga_ls7e_ard_3-2-0_109080_2021-10-15_final
2021-10-19 09:42:39	ga_ls7e_ard_3-2-0_105072_2021-10-19_final
2021-10-21 09:30:31	ga_ls7e_ard_3-2-0_103073_2021-10-21_final
2021-10-25 09:08:37	ga_ls7e_ard_3-2-0_099081_2021-10-24_final
2021-10-27 10:33:46	ga_ls7e_ard_3-2-0_113078_2021-10-27_final
2021-10-28 09:35:15	ga_ls7e_ard_3-2-0_104071_2021-10-28_final
2021-11-07 08:35:19	ga_ls7e_ard_3-2-0_094078_2021-11-06_final
2021-11-15 09:22:46	ga_ls7e_ard_3-2-1_102075_2021-11-14_final
2021-11-22 09:28:40	ga_ls7e_ard_3-2-1_103076_2021-11-21_final
2021-11-25 09:57:41	ga_ls7e_ard_3-2-1_108072_2021-11-25_final
2021-12-12 09:01:16	ga_ls7e_ard_3-2-1_099074_2021-12-11_final
2021-12-16 10:17:02	ga_ls7e_ard_3-2-1_111079_2021-12-16_final
2021-12-23 08:41:40	ga_ls7e_ard_3-2-1_096074_2021-12-22_final
2021-12-23 10:23:20	ga_ls7e_ard_3-2-1_112081_2021-12-23_final
2021-12-28 08:59:42	ga_ls7e_ard_3-2-1_099074_2021-12-27_final
2021-12-30 08:47:56	ga_ls7e_ard_3-2-1_097076_2021-12-29_final
2022-01-01 08:38:34	ga_ls7e_ard_3-2-1_095084_2021-12-31_final
2022-01-01 10:14:15	ga_ls7e_ard_3-2-1_111076_2022-01-01_final
2022-01-10 10:09:12	ga_ls7e_ard_3-2-1_110081_2022-01-10_final
2022-01-18 09:15:25	ga_ls7e_ard_3-2-1_102072_2022-01-17_final
2022-01-25 09:22:54	ga_ls7e_ard_3-2-1_103077_2022-01-24_final
2022-02-10 09:20:54	ga_ls7e_ard_3-2-1_103076_2022-02-09_final
2022-02-15 08:02:49	ga_ls7e_ard_3-2-1_090083_2022-02-14_final
2022-02-15 09:40:06	ga_ls7e_ard_3-2-1_106079_2022-02-15_final
2022-03-07 09:11:28	ga_ls7e_ard_3-2-1_102074_2022-03-06_final
2022-03-14 09:16:56	ga_ls7e_ard_3-2-1_103074_2022-03-13_final
2022-03-27 08:47:59	ga_ls7e_ard_3-2-1_098082_2022-03-26_final
2022-03-29 08:35:50	ga_ls7e_ard_3-2-1_096083_2022-03-28_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_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