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
1999-07-29 09:43:40	ga_ls7e_ard_3-0-0_095083_1999-07-29_final
1999-08-30 09:43:45	ga_ls7e_ard_3-0-0_095083_1999-08-30_final
2000-06-13 09:43:27	ga_ls7e_ard_3-0-0_095085_2000-06-13_final
2001-04-13 09:42:06	ga_ls7e_ard_3-0-0_095086_2001-04-13_final
2003-04-03 09:40:43	ga_ls7e_ard_3-0-0_095086_2003-04-03_final
2003-09-26 09:40:35	ga_ls7e_ard_3-0-0_095087_2003-09-26_final
2003-11-13 09:40:32	ga_ls7e_ard_3-0-0_095086_2003-11-13_final
2005-10-17 09:40:44	ga_ls7e_ard_3-0-0_095085_2005-10-17_final
2006-09-02 09:40:24	ga_ls7e_ard_3-0-0_095083_2006-09-02_final
2006-12-07 09:42:07	ga_ls7e_ard_3-0-0_095086_2006-12-07_final
2008-11-26 09:40:29	ga_ls7e_ard_3-0-0_095084_2008-11-26_final
2012-02-23 09:44:08	ga_ls7e_ard_3-0-0_095081_2012-02-23_final
2012-12-23 09:46:08	ga_ls7e_ard_3-0-0_095081_2012-12-23_final
2014-07-06 09:47:07	ga_ls7e_ard_3-0-0_095080_2014-07-06_final
2015-04-20 09:49:13	ga_ls7e_ard_3-0-0_095081_2015-04-20_final
2016-03-21 09:53:43	ga_ls7e_ard_3-0-0_095085_2016-03-21_final
2016-04-22 09:53:54	ga_ls7e_ard_3-0-0_095085_2016-04-22_final
2017-05-27 09:53:19	ga_ls7e_ard_3-0-0_095083_2017-05-27_final
2017-11-19 09:52:34	ga_ls7e_ard_3-0-0_095081_2017-11-19_final
2018-07-17 09:49:05	ga_ls7e_ard_3-0-0_095081_2018-07-17_final
2019-07-20 09:40:40	ga_ls7e_ard_3-0-0_095087_2019-07-20_final
2020-06-04 09:22:43	ga_ls7e_ard_3-1-0_095082_2020-06-03_final
2021-01-21 09:14:03	ga_ls7e_ard_3-2-0_096083_2021-01-20_final
2021-01-30 09:04:26	ga_ls7e_ard_3-2-0_095076_2021-01-29_final
2021-03-05 10:31:10	ga_ls7e_ard_3-2-0_109083_2021-03-05_final
2021-03-13 09:38:18	ga_ls7e_ard_3-2-0_101076_2021-03-13_final
2021-03-18 09:56:27	ga_ls7e_ard_3-2-0_104076_2021-03-18_final
2021-03-24 09:21:17	ga_ls7e_ard_3-2-0_098082_2021-03-23_final
2021-04-16 09:22:46	ga_ls7e_ard_3-2-0_099075_2021-04-15_final
2021-04-19 09:53:49	ga_ls7e_ard_3-2-0_104076_2021-04-19_final
2021-04-24 08:34:39	ga_ls7e_ard_3-2-0_091080_2021-04-23_final
2021-04-29 08:53:09	ga_ls7e_ard_3-2-0_094081_2021-04-28_final
2021-05-01 10:18:43	ga_ls7e_ard_3-2-0_108079_2021-05-01_final
2021-05-01 10:19:07	ga_ls7e_ard_3-2-0_108080_2021-05-01_final
2021-05-08 08:44:14	ga_ls7e_ard_3-2-0_093076_2021-05-07_final
2021-05-22 08:55:01	ga_ls7e_ard_3-2-0_095075_2021-05-21_final
2021-05-22 08:56:37	ga_ls7e_ard_3-2-0_095079_2021-05-21_final
2021-05-28 09:58:41	ga_ls7e_ard_3-2-0_105081_2021-05-28_final
2021-05-29 08:59:48	ga_ls7e_ard_3-2-0_096073_2021-05-28_final
2021-06-03 09:19:06	ga_ls7e_ard_3-2-0_099076_2021-06-02_final
2021-06-04 08:24:12	ga_ls7e_ard_3-2-0_090078_2021-06-03_final
2021-06-10 09:26:43	ga_ls7e_ard_3-2-0_100081_2021-06-09_final
2021-06-18 08:38:13	ga_ls7e_ard_3-2-0_092085_2021-06-17_final
2021-06-22 09:46:52	ga_ls7e_ard_3-2-0_104072_2021-06-22_final
2021-06-27 10:08:11	ga_ls7e_ard_3-2-0_107080_2021-06-27_final
2021-06-28 10:50:57	ga_ls7e_ard_3-2-0_114079_2021-06-28_final
2021-07-09 08:53:24	ga_ls7e_ard_3-2-0_095081_2021-07-08_final
2021-07-09 08:55:48	ga_ls7e_ard_3-2-0_095087_2021-07-08_final
2021-07-13 08:26:45	ga_ls7e_ard_3-2-0_091077_2021-07-12_final
2021-07-15 09:54:18	ga_ls7e_ard_3-2-0_105080_2021-07-15_final
2021-07-22 08:22:11	ga_ls7e_ard_3-2-0_090083_2021-07-21_final
2021-07-28 09:22:40	ga_ls7e_ard_3-2-0_100081_2021-07-27_final
2021-07-29 10:07:02	ga_ls7e_ard_3-2-0_107084_2021-07-29_final
2021-08-05 08:31:20	ga_ls7e_ard_3-2-0_092078_2021-08-04_final
2021-08-12 08:38:53	ga_ls7e_ard_3-2-0_093083_2021-08-11_final
2021-08-15 09:04:19	ga_ls7e_ard_3-2-0_098070_2021-08-14_final
2021-08-17 08:55:22	ga_ls7e_ard_3-2-0_096079_2021-08-16_final
2021-08-21 10:09:11	ga_ls7e_ard_3-2-0_108079_2021-08-21_final
2021-08-24 10:39:50	ga_ls7e_ard_3-2-0_113079_2021-08-24_final
2021-08-26 08:46:50	ga_ls7e_ard_3-2-0_095075_2021-08-25_final
2021-08-29 09:17:28	ga_ls7e_ard_3-2-0_100075_2021-08-28_final
2021-08-31 09:06:32	ga_ls7e_ard_3-2-0_098079_2021-08-30_final
2021-09-03 09:37:10	ga_ls7e_ard_3-2-0_103079_2021-09-03_final
2021-09-04 10:19:33	ga_ls7e_ard_3-2-0_110077_2021-09-04_final
2021-09-08 08:17:59	ga_ls7e_ard_3-2-0_090083_2021-09-07_final
2021-09-11 08:46:14	ga_ls7e_ard_3-2-0_095077_2021-09-10_final
2021-09-11 08:47:50	ga_ls7e_ard_3-2-0_095081_2021-09-10_final
2021-09-24 08:14:34	ga_ls7e_ard_3-2-0_090078_2021-09-23_final
2021-10-04 08:51:34	ga_ls7e_ard_3-2-0_096080_2021-10-03_final
2021-10-04 08:52:22	ga_ls7e_ard_3-2-0_096082_2021-10-03_final
2021-10-06 08:39:02	ga_ls7e_ard_3-2-0_094080_2021-10-05_final
2021-10-08 08:24:54	ga_ls7e_ard_3-2-0_092076_2021-10-07_final
2021-10-13 08:45:47	ga_ls7e_ard_3-2-0_095083_2021-10-12_final
2021-10-18 10:41:10	ga_ls7e_ard_3-2-0_114079_2021-10-18_final
2021-10-22 08:38:00	ga_ls7e_ard_3-2-0_094081_2021-10-21_final
2021-10-29 08:40:44	ga_ls7e_ard_3-2-0_095074_2021-10-28_final
2021-11-10 09:04:19	ga_ls7e_ard_3-2-0_099074_2021-11-09_final
2021-12-05 10:35:26	ga_ls7e_ard_3-2-1_114076_2021-12-05_final
2021-12-07 08:43:12	ga_ls7e_ard_3-2-1_096074_2021-12-06_final
2021-12-08 09:28:46	ga_ls7e_ard_3-2-1_103080_2021-12-07_final
2021-12-12 09:00:52	ga_ls7e_ard_3-2-1_099073_2021-12-11_final
2021-12-16 08:36:10	ga_ls7e_ard_3-2-1_095074_2021-12-15_final
2021-12-16 10:16:38	ga_ls7e_ard_3-2-1_111078_2021-12-16_final
2022-01-03 09:59:17	ga_ls7e_ard_3-2-1_109070_2022-01-03_final
2022-01-15 08:47:35	ga_ls7e_ard_3-2-1_097079_2022-01-14_final
2022-01-15 08:49:11	ga_ls7e_ard_3-2-1_097083_2022-01-14_final
2022-02-14 08:55:45	ga_ls7e_ard_3-2-1_099076_2022-02-13_final
2022-02-16 10:24:04	ga_ls7e_ard_3-2-1_113081_2022-02-16_final
2022-03-02 08:53:49	ga_ls7e_ard_3-2-1_099075_2022-03-01_final
2022-03-04 08:38:52	ga_ls7e_ard_3-2-1_097069_2022-03-03_final
2022-03-06 10:07:59	ga_ls7e_ard_3-2-1_111076_2022-03-06_final
2022-03-07 09:12:16	ga_ls7e_ard_3-2-1_102076_2022-03-06_final
2022-03-07 09:13:28	ga_ls7e_ard_3-2-1_102079_2022-03-06_final
2022-03-10 08:06:23	ga_ls7e_ard_3-2-1_091082_2022-03-09_final
2022-03-10 09:41:40	ga_ls7e_ard_3-2-1_107073_2022-03-10_final
2022-03-11 10:26:25	ga_ls7e_ard_3-2-1_114077_2022-03-11_final
2022-03-17 09:49:31	ga_ls7e_ard_3-2-1_108079_2022-03-17_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-18 08:51:25	ga_ls7e_ard_3-2-1_099073_2022-03-17_final
2022-03-24 08:14:10	ga_ls7e_ard_3-2-1_093074_2022-03-23_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