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
1999-08-30 09:44:32	ga_ls7e_ard_3-0-0_095085_1999-08-30_final
2000-02-22 09:42:13	ga_ls7e_ard_3-0-0_095080_2000-02-22_final
2000-08-16 09:41:28	ga_ls7e_ard_3-0-0_095082_2000-08-16_final
2000-10-03 09:40:01	ga_ls7e_ard_3-0-0_095080_2000-10-03_final
2000-11-20 09:41:07	ga_ls7e_ard_3-0-0_095083_2000-11-20_final
2009-08-09 09:42:10	ga_ls7e_ard_3-0-0_095086_2009-08-09_final
2010-03-21 09:41:45	ga_ls7e_ard_3-0-0_095080_2010-03-21_final
2010-09-13 09:42:17	ga_ls7e_ard_3-0-0_095081_2010-09-13_final
2012-06-30 09:43:21	ga_ls7e_ard_3-0-0_095078_2012-06-30_final
2012-10-04 09:44:49	ga_ls7e_ard_3-1-0_095079_2012-10-04_final
2012-11-21 09:45:11	ga_ls7e_ard_3-1-0_095079_2012-11-21_final
2014-11-11 09:47:03	ga_ls7e_ard_3-0-0_095078_2014-11-11_final
2014-12-13 09:47:39	ga_ls7e_ard_3-1-0_095079_2014-12-13_final
2015-03-03 09:48:28	ga_ls7e_ard_3-0-0_095080_2015-03-03_final
2015-03-19 09:48:36	ga_ls7e_ard_3-0-0_095080_2015-03-19_final
2015-08-10 09:49:01	ga_ls7e_ard_3-1-0_095079_2015-08-10_final
2016-04-06 09:51:22	ga_ls7e_ard_3-1-0_095079_2016-04-06_final
2016-05-24 09:51:39	ga_ls7e_ard_3-1-0_095079_2016-05-24_final
2016-07-27 09:51:48	ga_ls7e_ard_3-1-0_095079_2016-07-27_final
2017-01-03 09:51:04	ga_ls7e_ard_3-0-0_095078_2017-01-03_final
2017-03-08 09:51:43	ga_ls7e_ard_3-0-0_095080_2017-03-08_final
2017-08-31 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-08-31_final
2018-07-17 09:47:53	ga_ls7e_ard_3-0-0_095078_2018-07-17_final
2019-01-25 09:43:16	ga_ls7e_ard_3-0-0_095078_2019-01-25_final
2020-05-03 09:23:03	ga_ls7e_ard_3-1-0_095078_2020-05-02_final
2020-08-07 09:17:15	ga_ls7e_ard_3-1-0_095078_2020-08-06_final
2020-10-10 09:13:30	ga_ls7e_ard_3-1-0_095079_2020-10-09_final
2021-02-15 09:06:02	ga_ls7e_ard_3-2-0_095083_2021-02-14_final
2021-02-16 09:47:13	ga_ls7e_ard_3-2-0_102078_2021-02-16_final
2021-02-16 09:47:37	ga_ls7e_ard_3-2-0_102079_2021-02-16_final
2021-02-24 08:55:58	ga_ls7e_ard_3-2-0_094075_2021-02-23_final
2021-03-02 09:57:19	ga_ls7e_ard_3-2-0_104075_2021-03-02_final
2021-03-04 09:45:59	ga_ls7e_ard_3-2-0_102078_2021-03-04_final
2021-03-08 09:19:46	ga_ls7e_ard_3-2-0_098075_2021-03-07_final
2021-03-10 09:07:15	ga_ls7e_ard_3-2-0_096075_2021-03-09_final
2021-03-10 10:46:07	ga_ls7e_ard_3-2-0_112075_2021-03-10_final
2021-03-29 09:37:01	ga_ls7e_ard_3-2-0_101076_2021-03-29_final
2021-04-03 09:55:09	ga_ls7e_ard_3-2-0_104076_2021-04-03_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-06 10:27:24	ga_ls7e_ard_3-2-0_109080_2021-04-06_final
2021-04-07 09:32:06	ga_ls7e_ard_3-2-0_100081_2021-04-07_final
2021-04-13 08:53:19	ga_ls7e_ard_3-2-0_094078_2021-04-12_final
2021-04-18 09:13:26	ga_ls7e_ard_3-2-0_097083_2021-04-17_final
2021-04-18 10:49:31	ga_ls7e_ard_3-2-0_113076_2021-04-18_final
2021-04-19 09:55:01	ga_ls7e_ard_3-2-0_104079_2021-04-19_final
2021-04-23 09:27:33	ga_ls7e_ard_3-2-0_100073_2021-04-22_final
2021-04-29 08:53:57	ga_ls7e_ard_3-2-0_094083_2021-04-28_final
2021-05-08 10:24:19	ga_ls7e_ard_3-2-0_109079_2021-05-08_final
2021-05-14 09:44:20	ga_ls7e_ard_3-2-0_103073_2021-05-14_final
2021-05-14 09:46:44	ga_ls7e_ard_3-2-0_103079_2021-05-14_final
2021-05-16 09:34:36	ga_ls7e_ard_3-2-0_101080_2021-05-16_final
2021-05-20 10:46:25	ga_ls7e_ard_3-2-0_113075_2021-05-20_final
2021-05-21 09:48:43	ga_ls7e_ard_3-2-0_104070_2021-05-21_final
2021-05-24 08:45:40	ga_ls7e_ard_3-2-0_093083_2021-05-23_final
2021-05-31 08:51:15	ga_ls7e_ard_3-2-0_094083_2021-05-30_final
2021-06-06 09:50:34	ga_ls7e_ard_3-2-0_104078_2021-06-06_final
2021-06-07 08:53:40	ga_ls7e_ard_3-2-0_095075_2021-06-06_final
2021-06-14 10:39:45	ga_ls7e_ard_3-2-0_112079_2021-06-14_final
2021-07-23 09:02:34	ga_ls7e_ard_3-2-0_097076_2021-07-22_final
2021-07-25 08:51:14	ga_ls7e_ard_3-2-0_095079_2021-07-24_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-07-30 09:11:44	ga_ls7e_ard_3-2-0_098085_2021-07-29_final
2021-08-10 08:50:13	ga_ls7e_ard_3-2-0_095080_2021-08-09_final
2021-08-14 10:02:49	ga_ls7e_ard_3-2-0_107077_2021-08-14_final
2021-08-17 08:55:46	ga_ls7e_ard_3-2-0_096080_2021-08-16_final
2021-08-19 10:21:19	ga_ls7e_ard_3-2-0_110078_2021-08-19_final
2021-08-25 09:43:44	ga_ls7e_ard_3-2-0_104078_2021-08-25_final
2021-08-28 08:37:05	ga_ls7e_ard_3-2-0_093082_2021-08-27_final
2021-09-07 09:10:06	ga_ls7e_ard_3-2-0_099074_2021-09-06_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-12 09:29:00	ga_ls7e_ard_3-2-0_102076_2021-09-11_final
2021-10-04 10:30:02	ga_ls7e_ard_3-2-0_112079_2021-10-04_final
2021-10-14 09:27:22	ga_ls7e_ard_3-2-0_102079_2021-10-13_final
2021-10-15 10:10:32	ga_ls7e_ard_3-2-0_109079_2021-10-15_final
2021-10-15 10:10:56	ga_ls7e_ard_3-2-0_109080_2021-10-15_final
2021-10-20 08:48:09	ga_ls7e_ard_3-2-0_096075_2021-10-19_final
2021-10-20 08:48:57	ga_ls7e_ard_3-2-0_096077_2021-10-19_final
2021-10-24 10:02:20	ga_ls7e_ard_3-2-0_108076_2021-10-24_final
2021-10-28 09:38:27	ga_ls7e_ard_3-2-0_104079_2021-10-28_final
2021-11-12 08:52:34	ga_ls7e_ard_3-2-0_097076_2021-11-11_final
2021-11-16 08:28:39	ga_ls7e_ard_3-2-1_093079_2021-11-15_final
2021-11-16 10:07:32	ga_ls7e_ard_3-2-1_109079_2021-11-16_final
2021-11-30 10:18:33	ga_ls7e_ard_3-2-1_111079_2021-11-30_final
2021-11-30 10:18:57	ga_ls7e_ard_3-2-1_111080_2021-11-30_final
2021-12-07 10:23:17	ga_ls7e_ard_3-2-1_112077_2021-12-07_final
2021-12-14 08:49:31	ga_ls7e_ard_3-2-1_097076_2021-12-13_final
2021-12-14 10:29:35	ga_ls7e_ard_3-2-1_113079_2021-12-14_final
2021-12-18 10:05:17	ga_ls7e_ard_3-2-1_109081_2021-12-18_final
2022-01-06 08:55:24	ga_ls7e_ard_3-2-1_098081_2022-01-05_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-11 09:13:05	ga_ls7e_ard_3-2-1_101080_2022-01-10_final
2022-02-07 08:52:18	ga_ls7e_ard_3-2-1_098081_2022-02-06_final
2022-02-12 09:09:31	ga_ls7e_ard_3-2-1_101079_2022-02-11_final
2022-02-25 08:36:33	ga_ls7e_ard_3-2-1_096077_2022-02-24_final
2022-02-25 10:15:26	ga_ls7e_ard_3-2-1_112077_2022-02-25_final
2022-02-27 08:24:48	ga_ls7e_ard_3-2-1_094079_2022-02-26_final
2022-03-06 08:29:54	ga_ls7e_ard_3-2-1_095078_2022-03-05_final
2022-03-12 09:31:06	ga_ls7e_ard_3-2-1_105078_2022-03-12_final
2022-03-15 08:21:37	ga_ls7e_ard_3-2-1_094075_2022-03-14_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_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