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
1999-07-02 11:39:44	ga_ls7e_ard_3-0-0_114080_1999-07-02_final
1999-10-06 11:40:04	ga_ls7e_ard_3-0-0_114080_1999-10-06_final
1999-11-23 11:38:12	ga_ls7e_ard_3-0-0_114076_1999-11-23_final
2000-06-18 11:38:28	ga_ls7e_ard_3-0-0_114079_2000-06-18_final
2000-10-24 11:37:17	ga_ls7e_ard_3-0-0_114080_2000-10-24_final
2000-11-25 11:36:09	ga_ls7e_ard_3-0-0_114077_2000-11-25_final
2001-01-12 11:36:42	ga_ls7e_ard_3-0-0_114078_2001-01-12_final
2001-02-20 11:43:12	ga_ls7e_ard_3-0-0_115079_2001-02-20_final
2001-03-24 11:42:59	ga_ls7e_ard_3-0-0_115079_2001-03-24_final
2002-03-20 11:34:58	ga_ls7e_ard_3-0-0_114078_2002-03-20_final
2007-06-06 11:36:29	ga_ls7e_ard_3-0-0_114078_2007-06-06_final
2008-05-23 11:35:22	ga_ls7e_ard_3-0-0_114076_2008-05-23_final
2009-07-04 11:43:10	ga_ls7e_ard_3-0-0_115079_2009-07-04_final
2010-10-04 11:38:52	ga_ls7e_ard_3-0-0_114079_2010-10-04_final
2014-07-27 11:43:50	ga_ls7e_ard_3-0-0_114078_2014-07-27_final
2015-09-16 11:45:21	ga_ls7e_ard_3-0-0_114076_2015-09-16_final
2016-10-04 11:49:23	ga_ls7e_ard_3-0-0_114079_2016-10-04_final
2017-08-11 11:55:25	ga_ls7e_ard_3-0-0_115079_2017-08-11_final
2018-08-07 11:45:21	ga_ls7e_ard_3-0-0_114079_2018-08-07_final
2020-11-22 10:30:09	ga_ls7e_ard_3-1-0_108077_2020-11-22_final
2020-12-18 09:25:38	ga_ls7e_ard_3-1-0_098075_2020-12-17_final
2020-12-29 10:46:46	ga_ls7e_ard_3-1-0_111079_2020-12-29_final
2020-12-31 08:55:24	ga_ls7e_ard_3-1-0_093079_2020-12-30_final
2021-01-04 10:08:53	ga_ls7e_ard_3-1-0_105078_2021-01-04_final
2021-01-07 10:39:58	ga_ls7e_ard_3-1-0_110079_2021-01-07_final
2021-01-25 10:25:56	ga_ls7e_ard_3-2-0_108078_2021-01-25_final
2021-01-27 08:35:45	ga_ls7e_ard_3-2-0_090081_2021-01-26_final
2021-02-22 09:11:41	ga_ls7e_ard_3-2-0_096083_2021-02-21_final
2021-02-25 09:39:33	ga_ls7e_ard_3-2-0_101076_2021-02-25_final
2021-03-05 10:29:34	ga_ls7e_ard_3-2-0_109079_2021-03-05_final
2021-03-16 10:10:58	ga_ls7e_ard_3-2-0_106081_2021-03-16_final
2021-03-26 09:09:09	ga_ls7e_ard_3-2-0_096083_2021-03-25_final
2021-03-27 09:48:21	ga_ls7e_ard_3-2-0_103073_2021-03-27_final
2021-03-28 08:56:38	ga_ls7e_ard_3-2-0_094083_2021-03-27_final
2021-03-28 10:33:55	ga_ls7e_ard_3-2-0_110079_2021-03-28_final
2021-04-01 08:30:23	ga_ls7e_ard_3-2-0_090080_2021-03-31_final
2021-04-03 09:55:09	ga_ls7e_ard_3-2-0_104076_2021-04-03_final
2021-04-09 09:17:10	ga_ls7e_ard_3-2-0_098075_2021-04-08_final
2021-04-16 11:03:14	ga_ls7e_ard_3-2-0_115079_2021-04-16_final
2021-04-18 10:49:55	ga_ls7e_ard_3-2-0_113077_2021-04-18_final
2021-04-19 09:51:25	ga_ls7e_ard_3-2-0_104070_2021-04-19_final
2021-04-19 09:54:37	ga_ls7e_ard_3-2-0_104078_2021-04-19_final
2021-04-24 10:12:19	ga_ls7e_ard_3-2-0_107077_2021-04-24_final
2021-05-24 08:45:40	ga_ls7e_ard_3-2-0_093083_2021-05-23_final
2021-05-29 09:00:11	ga_ls7e_ard_3-2-0_096074_2021-05-28_final
2021-05-30 09:45:21	ga_ls7e_ard_3-2-0_103079_2021-05-30_final
2021-06-07 08:54:52	ga_ls7e_ard_3-2-0_095078_2021-06-06_final
2021-06-09 10:22:01	ga_ls7e_ard_3-2-0_109080_2021-06-09_final
2021-06-22 09:45:40	ga_ls7e_ard_3-2-0_104069_2021-06-22_final
2021-06-28 10:49:45	ga_ls7e_ard_3-2-0_114076_2021-06-28_final
2021-07-06 10:01:38	ga_ls7e_ard_3-2-0_106081_2021-07-06_final
2021-07-07 10:43:37	ga_ls7e_ard_3-2-0_113078_2021-07-07_final
2021-07-10 09:36:11	ga_ls7e_ard_3-2-0_102080_2021-07-10_final
2021-07-11 08:41:17	ga_ls7e_ard_3-2-0_093082_2021-07-10_final
2021-07-12 09:24:03	ga_ls7e_ard_3-2-0_100081_2021-07-11_final
2021-07-14 09:08:20	ga_ls7e_ard_3-2-0_098073_2021-07-13_final
2021-07-21 09:14:18	ga_ls7e_ard_3-2-0_099074_2021-07-20_final
2021-07-23 09:02:34	ga_ls7e_ard_3-2-0_097076_2021-07-22_final
2021-07-27 10:14:47	ga_ls7e_ard_3-2-0_109072_2021-07-27_final
2021-07-30 10:48:13	ga_ls7e_ard_3-2-0_114079_2021-07-30_final
2021-08-02 09:36:47	ga_ls7e_ard_3-2-0_103071_2021-08-02_final
2021-08-23 08:18:11	ga_ls7e_ard_3-2-0_090080_2021-08-22_final
2021-08-26 10:26:30	ga_ls7e_ard_3-2-0_111077_2021-08-26_final
2021-09-02 08:52:00	ga_ls7e_ard_3-2-0_096074_2021-09-01_final
2021-09-03 09:36:22	ga_ls7e_ard_3-2-0_103077_2021-09-03_final
2021-09-07 09:10:30	ga_ls7e_ard_3-2-0_099075_2021-09-06_final
2021-09-08 08:17:12	ga_ls7e_ard_3-2-0_090081_2021-09-07_final
2021-09-09 08:58:22	ga_ls7e_ard_3-2-0_097076_2021-09-08_final
2021-10-06 10:16:18	ga_ls7e_ard_3-2-0_110076_2021-10-06_final
2021-10-08 08:27:41	ga_ls7e_ard_3-2-0_092083_2021-10-07_final
2021-10-16 09:15:13	ga_ls7e_ard_3-2-0_100080_2021-10-15_final
2021-10-19 09:45:03	ga_ls7e_ard_3-2-0_105078_2021-10-19_final
2021-11-02 08:18:27	ga_ls7e_ard_3-2-0_091081_2021-11-01_final
2021-11-13 09:35:20	ga_ls7e_ard_3-2-1_104075_2021-11-13_final
2021-11-15 09:25:34	ga_ls7e_ard_3-2-1_102082_2021-11-14_final
2021-11-16 08:29:03	ga_ls7e_ard_3-2-1_093080_2021-11-15_final
2021-11-19 08:58:04	ga_ls7e_ard_3-2-1_098076_2021-11-18_final
2021-12-01 09:23:14	ga_ls7e_ard_3-2-1_102080_2021-11-30_final
2021-12-10 09:15:49	ga_ls7e_ard_3-2-1_101079_2021-12-09_final
2021-12-23 10:22:08	ga_ls7e_ard_3-2-1_112078_2021-12-23_final
2021-12-23 10:22:32	ga_ls7e_ard_3-2-1_112079_2021-12-23_final
2021-12-25 08:30:18	ga_ls7e_ard_3-2-1_094077_2021-12-24_final
2021-12-26 09:14:15	ga_ls7e_ard_3-2-1_101079_2021-12-25_final
2021-12-31 09:30:42	ga_ls7e_ard_3-2-1_104075_2021-12-31_final
2022-01-01 08:35:46	ga_ls7e_ard_3-2-1_095077_2021-12-31_final
2022-01-12 09:55:03	ga_ls7e_ard_3-2-1_108077_2022-01-12_final
2022-01-24 10:19:25	ga_ls7e_ard_3-2-1_112079_2022-01-24_final
2022-02-02 10:11:57	ga_ls7e_ard_3-2-1_111078_2022-02-02_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-17 09:24:21	ga_ls7e_ard_3-2-1_104071_2022-02-16_final
2022-02-26 09:18:55	ga_ls7e_ard_3-2-1_103075_2022-02-25_final
2022-03-04 08:39:40	ga_ls7e_ard_3-2-1_097071_2022-03-03_final
2022-03-04 10:21:44	ga_ls7e_ard_3-2-1_113079_2022-03-04_final
2022-03-11 08:49:08	ga_ls7e_ard_3-2-1_098081_2022-03-10_final
2022-03-14 09:15:21	ga_ls7e_ard_3-2-1_103070_2022-03-13_final
2022-03-17 08:09:51	ga_ls7e_ard_3-2-1_092077_2022-03-16_final
2022-03-21 09:25:13	ga_ls7e_ard_3-2-1_104081_2022-03-20_final
2022-03-24 08:15:46	ga_ls7e_ard_3-2-1_093078_2022-03-23_final
2022-03-26 09:43:42	ga_ls7e_ard_3-2-1_107082_2022-03-26_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_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