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
2003-02-26 11:39:27	ga_ls7e_ard_3-0-0_115074_2003-02-26_final
2003-04-15 11:39:34	ga_ls7e_ard_3-0-0_115074_2003-04-15_final
2004-06-20 11:41:01	ga_ls7e_ard_3-0-0_115077_2004-06-20_final
2004-11-27 11:41:05	ga_ls7e_ard_3-1-0_115077_2004-11-27_final
2009-01-09 11:41:40	ga_ls7e_ard_3-0-0_115077_2009-01-09_final
2010-08-08 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-08-08_final
2019-03-26 11:45:23	ga_ls7e_ard_3-1-0_115079_2019-03-26_final
2020-06-16 11:24:25	ga_ls7e_ard_3-1-0_115079_2020-06-16_final
2020-11-23 11:14:08	ga_ls7e_ard_3-1-0_115079_2020-11-23_final
2020-12-05 09:55:55	ga_ls7e_ard_3-1-0_103071_2020-12-05_final
2020-12-11 11:02:27	ga_ls7e_ard_3-1-0_113084_2020-12-11_final
2020-12-20 09:12:19	ga_ls7e_ard_3-1-0_096073_2020-12-19_final
2020-12-29 10:47:10	ga_ls7e_ard_3-1-0_111080_2020-12-29_final
2021-01-07 09:00:41	ga_ls7e_ard_3-1-0_094078_2021-01-06_final
2021-01-07 09:01:53	ga_ls7e_ard_3-1-0_094081_2021-01-06_final
2021-01-07 09:02:17	ga_ls7e_ard_3-1-0_094082_2021-01-06_final
2021-01-09 08:52:35	ga_ls7e_ard_3-1-0_092089_2021-01-08_final
2021-01-23 08:59:33	ga_ls7e_ard_3-2-0_094078_2021-01-22_final
2021-01-23 08:59:57	ga_ls7e_ard_3-2-0_094079_2021-01-22_final
2021-01-23 09:01:09	ga_ls7e_ard_3-2-0_094082_2021-01-22_final
2021-01-28 10:57:01	ga_ls7e_ard_3-2-0_113079_2021-01-28_final
2021-02-11 09:27:28	ga_ls7e_ard_3-2-0_099074_2021-02-10_final
2021-02-19 10:17:53	ga_ls7e_ard_3-2-0_107078_2021-02-19_final
2021-02-22 10:50:10	ga_ls7e_ard_3-2-0_112082_2021-02-22_final
2021-02-25 09:38:45	ga_ls7e_ard_3-2-0_101074_2021-02-25_final
2021-03-03 09:03:13	ga_ls7e_ard_3-2-0_095079_2021-03-02_final
2021-03-05 08:49:30	ga_ls7e_ard_3-2-0_093076_2021-03-04_final
2021-03-05 08:52:17	ga_ls7e_ard_3-2-0_093083_2021-03-04_final
2021-03-14 10:23:29	ga_ls7e_ard_3-2-0_108081_2021-03-14_final
2021-03-21 08:49:02	ga_ls7e_ard_3-2-0_093078_2021-03-20_final
2021-03-27 09:49:09	ga_ls7e_ard_3-2-0_103075_2021-03-27_final
2021-03-27 09:51:08	ga_ls7e_ard_3-2-0_103080_2021-03-27_final
2021-04-01 10:10:04	ga_ls7e_ard_3-2-0_106082_2021-04-01_final
2021-04-20 10:37:23	ga_ls7e_ard_3-2-0_111077_2021-04-20_final
2021-04-20 10:38:11	ga_ls7e_ard_3-2-0_111079_2021-04-20_final
2021-05-04 09:09:41	ga_ls7e_ard_3-2-0_097077_2021-05-03_final
2021-05-05 09:52:04	ga_ls7e_ard_3-2-0_104075_2021-05-05_final
2021-05-16 09:32:36	ga_ls7e_ard_3-2-0_101075_2021-05-16_final
2021-05-20 09:08:21	ga_ls7e_ard_3-2-0_097077_2021-05-19_final
2021-05-28 09:57:06	ga_ls7e_ard_3-2-0_105077_2021-05-28_final
2021-06-04 10:03:29	ga_ls7e_ard_3-2-0_106079_2021-06-04_final
2021-06-07 08:55:16	ga_ls7e_ard_3-2-0_095079_2021-06-06_final
2021-06-11 08:29:25	ga_ls7e_ard_3-2-0_091077_2021-06-10_final
2021-06-20 08:23:42	ga_ls7e_ard_3-2-0_090080_2021-06-19_final
2021-06-20 10:02:59	ga_ls7e_ard_3-2-0_106081_2021-06-20_final
2021-06-21 10:45:21	ga_ls7e_ard_3-2-0_113079_2021-06-21_final
2021-06-27 08:30:30	ga_ls7e_ard_3-2-0_091083_2021-06-26_final
2021-06-27 10:06:59	ga_ls7e_ard_3-2-0_107077_2021-06-27_final
2021-07-01 09:40:44	ga_ls7e_ard_3-2-0_103074_2021-07-01_final
2021-07-04 08:33:18	ga_ls7e_ard_3-2-0_092076_2021-07-03_final
2021-07-13 08:29:09	ga_ls7e_ard_3-2-0_091083_2021-07-12_final
2021-07-16 10:35:52	ga_ls7e_ard_3-2-0_112076_2021-07-16_final
2021-07-17 09:40:58	ga_ls7e_ard_3-2-0_103078_2021-07-17_final
2021-07-27 08:40:42	ga_ls7e_ard_3-2-0_093084_2021-07-26_final
2021-07-27 10:14:47	ga_ls7e_ard_3-2-0_109072_2021-07-27_final
2021-07-28 09:19:52	ga_ls7e_ard_3-2-0_100074_2021-07-27_final
2021-07-29 08:26:10	ga_ls7e_ard_3-2-0_091079_2021-07-28_final
2021-08-09 09:46:20	ga_ls7e_ard_3-2-0_104081_2021-08-09_final
2021-08-17 10:35:03	ga_ls7e_ard_3-2-0_112081_2021-08-17_final
2021-08-18 09:38:57	ga_ls7e_ard_3-2-0_103080_2021-08-18_final
2021-08-25 09:44:56	ga_ls7e_ard_3-2-0_104081_2021-08-25_final
2021-09-02 08:55:36	ga_ls7e_ard_3-2-0_096083_2021-09-01_final
2021-09-10 09:39:33	ga_ls7e_ard_3-2-0_104071_2021-09-10_final
2021-09-10 09:43:08	ga_ls7e_ard_3-2-0_104080_2021-09-10_final
2021-09-11 10:25:07	ga_ls7e_ard_3-2-0_111077_2021-09-11_final
2021-09-16 09:06:19	ga_ls7e_ard_3-2-0_098082_2021-09-15_final
2021-09-17 09:45:54	ga_ls7e_ard_3-2-0_105073_2021-09-17_final
2021-09-17 09:48:42	ga_ls7e_ard_3-2-0_105080_2021-09-17_final
2021-09-18 08:50:35	ga_ls7e_ard_3-2-0_096074_2021-09-17_final
2021-09-24 09:53:27	ga_ls7e_ard_3-2-0_106078_2021-09-24_final
2021-09-25 10:37:25	ga_ls7e_ard_3-2-0_113080_2021-09-25_final
2021-10-04 08:48:46	ga_ls7e_ard_3-2-0_096073_2021-10-03_final
2021-10-06 08:37:02	ga_ls7e_ard_3-2-0_094075_2021-10-05_final
2021-10-10 09:52:26	ga_ls7e_ard_3-2-0_106079_2021-10-10_final
2021-10-15 08:32:03	ga_ls7e_ard_3-2-0_093080_2021-10-14_final
2021-10-17 08:20:19	ga_ls7e_ard_3-2-0_091082_2021-10-16_final
2021-10-17 09:55:36	ga_ls7e_ard_3-2-0_107073_2021-10-17_final
2021-10-28 09:39:15	ga_ls7e_ard_3-2-0_104081_2021-10-28_final
2021-10-31 08:30:11	ga_ls7e_ard_3-2-0_093079_2021-10-30_final
2021-11-03 08:59:37	ga_ls7e_ard_3-2-0_098076_2021-11-02_final
2021-11-08 09:17:16	ga_ls7e_ard_3-2-0_101075_2021-11-07_final
2021-11-28 10:29:30	ga_ls7e_ard_3-2-1_113075_2021-11-28_final
2021-11-29 09:34:35	ga_ls7e_ard_3-2-1_104077_2021-11-29_final
2021-12-07 08:46:00	ga_ls7e_ard_3-2-1_096081_2021-12-06_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2021-12-23 08:44:27	ga_ls7e_ard_3-2-1_096081_2021-12-22_final
2022-01-03 08:25:36	ga_ls7e_ard_3-2-1_093083_2022-01-02_final
2022-01-05 08:11:02	ga_ls7e_ard_3-2-1_091078_2022-01-04_final
2022-01-09 09:22:50	ga_ls7e_ard_3-2-1_103073_2022-01-08_final
2022-01-10 08:30:43	ga_ls7e_ard_3-2-1_094082_2022-01-09_final
2022-01-17 10:13:55	ga_ls7e_ard_3-2-1_111079_2022-01-17_final
2022-01-26 08:30:47	ga_ls7e_ard_3-2-1_094086_2022-01-25_final
2022-01-27 09:09:57	ga_ls7e_ard_3-2-1_101076_2022-01-26_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-02-06 09:46:25	ga_ls7e_ard_3-2-1_107077_2022-02-06_final
2022-02-28 09:05:34	ga_ls7e_ard_3-2-1_101073_2022-02-27_final
2022-03-02 08:53:25	ga_ls7e_ard_3-2-1_099074_2022-03-01_final
2022-03-02 08:56:13	ga_ls7e_ard_3-2-1_099081_2022-03-01_final
2022-03-05 09:22:02	ga_ls7e_ard_3-2-1_104069_2022-03-04_final
2022-03-17 09:48:44	ga_ls7e_ard_3-2-1_108077_2022-03-17_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