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
2000-11-14 10:15:49	ga_ls7e_ard_3-1-0_101077_2000-11-14_final
2003-10-25 09:10:39	ga_ls7e_ard_3-1-0_090089_2003-10-24_final
2003-11-18 09:53:58	ga_ls7e_ard_3-1-0_098073_2003-11-18_final
2004-02-28 10:55:28	ga_ls7e_ard_3-1-0_108071_2004-02-28_final
2005-12-04 11:18:52	ga_ls7e_ard_3-1-0_111082_2005-12-04_final
2006-04-17 09:06:06	ga_ls7e_ard_3-1-0_089089_2006-04-16_final
2006-05-13 09:36:52	ga_ls7e_ard_3-1-0_095073_2006-05-13_final
2006-10-08 09:17:01	ga_ls7e_ard_3-1-0_091087_2006-10-07_final
2007-02-05 11:42:22	ga_ls7e_ard_3-1-0_115077_2007-02-05_final
2007-04-18 09:17:46	ga_ls7e_ard_3-1-0_091086_2007-04-17_final
2007-04-26 10:00:24	ga_ls7e_ard_3-1-0_099069_2007-04-26_final
2007-05-13 10:45:58	ga_ls7e_ard_3-1-0_106075_2007-05-13_final
2007-12-07 10:45:51	ga_ls7e_ard_3-1-0_106075_2007-12-07_final
2007-12-21 11:01:04	ga_ls7e_ard_3-1-0_108082_2007-12-21_final
2009-12-05 09:03:45	ga_ls7e_ard_3-1-0_089081_2009-12-04_final
2010-10-31 09:39:19	ga_ls7e_ard_3-1-0_095073_2010-10-31_final
2011-12-11 09:06:41	ga_ls7e_ard_3-1-0_089081_2011-12-10_final
2012-06-02 09:21:40	ga_ls7e_ard_3-1-0_091086_2012-06-01_final
2012-06-10 11:46:22	ga_ls7e_ard_3-1-0_115077_2012-06-10_final
2012-07-11 11:02:40	ga_ls7e_ard_3-1-0_108075_2012-07-11_final
2015-04-29 09:37:31	ga_ls7e_ard_3-1-0_094067_2015-04-29_final
2015-12-22 09:14:11	ga_ls7e_ard_3-1-0_089081_2015-12-21_final
2016-06-25 11:31:51	ga_ls7e_ard_3-1-0_111082_2016-06-25_final
2016-07-22 11:13:19	ga_ls7e_ard_3-1-0_108082_2016-07-22_final
2017-10-11 09:40:51	ga_ls7e_ard_3-1-0_094067_2017-10-11_final
2017-11-14 11:10:32	ga_ls7e_ard_3-1-0_108075_2017-11-14_final
2018-02-04 10:57:13	ga_ls7e_ard_3-1-0_106075_2018-02-04_final
2018-08-15 10:54:09	ga_ls7e_ard_3-1-0_106075_2018-08-15_final
2018-12-31 11:31:31	ga_ls7e_ard_3-1-0_112084_2018-12-31_final
2019-01-09 09:41:47	ga_ls7e_ard_3-1-0_095073_2019-01-09_final
2019-09-08 11:00:43	ga_ls7e_ard_3-1-0_109076_2019-09-08_final
2019-09-28 08:57:26	ga_ls7e_ard_3-1-0_089079_2019-09-27_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-10-26 10:56:40	ga_ls7e_ard_3-1-0_109071_2019-10-26_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-11-16 11:12:40	ga_ls7e_ard_3-1-0_112067_2019-11-16_final
2019-11-17 10:17:24	ga_ls7e_ard_3-1-0_103068_2019-11-17_final
2019-11-23 09:44:49	ga_ls7e_ard_3-1-0_097080_2019-11-23_final
2019-11-28 10:03:31	ga_ls7e_ard_3-1-0_100081_2019-11-28_final
2019-12-02 11:14:41	ga_ls7e_ard_3-1-0_112074_2019-12-02_final
2019-12-06 09:15:17	ga_ls7e_ard_3-1-0_092085_2019-12-05_final
2020-01-16 09:03:25	ga_ls7e_ard_3-1-0_091076_2020-01-15_final
2020-01-16 10:40:18	ga_ls7e_ard_3-1-0_107071_2020-01-16_final
2020-01-24 09:49:17	ga_ls7e_ard_3-1-0_099068_2020-01-24_final
2020-02-03 10:29:03	ga_ls7e_ard_3-1-0_105076_2020-02-03_final
2020-02-05 10:13:47	ga_ls7e_ard_3-1-0_103069_2020-02-05_final
2020-02-19 08:51:44	ga_ls7e_ard_3-1-0_089082_2020-02-18_final
2020-02-19 08:53:20	ga_ls7e_ard_3-1-0_089086_2020-02-18_final
2020-02-21 10:17:45	ga_ls7e_ard_3-1-0_103081_2020-02-21_final
2020-02-25 09:52:01	ga_ls7e_ard_3-1-0_099079_2020-02-25_final
2020-03-27 10:43:57	ga_ls7e_ard_3-1-0_108074_2020-03-27_final
2020-04-07 08:47:30	ga_ls7e_ard_3-1-0_089078_2020-04-06_final
2020-04-19 10:48:25	ga_ls7e_ard_3-1-0_109073_2020-04-19_final
2020-04-28 10:42:06	ga_ls7e_ard_3-1-0_108074_2020-04-28_final
2020-04-29 09:45:13	ga_ls7e_ard_3-1-0_099071_2020-04-29_final
2020-05-07 09:02:05	ga_ls7e_ard_3-1-0_091088_2020-05-06_final
2020-06-14 09:57:37	ga_ls7e_ard_3-1-0_101078_2020-06-14_final
2020-07-01 09:04:35	ga_ls7e_ard_3-1-0_092087_2020-06-30_final
2020-07-01 10:38:16	ga_ls7e_ard_3-1-0_108074_2020-07-01_final
2020-07-04 09:32:30	ga_ls7e_ard_3-1-0_097080_2020-07-04_final
2020-07-08 09:10:44	ga_ls7e_ard_3-1-0_093088_2020-07-07_final
2020-07-17 10:36:06	ga_ls7e_ard_3-1-0_108071_2020-07-17_final
2020-07-18 09:43:37	ga_ls7e_ard_3-1-0_099079_2020-07-18_final
2020-07-28 08:41:36	ga_ls7e_ard_3-1-0_089080_2020-07-27_final
2020-08-03 09:44:13	ga_ls7e_ard_3-1-0_099083_2020-08-03_final
2020-09-04 09:40:58	ga_ls7e_ard_3-1-0_099080_2020-09-04_final
2021-03-09 10:02:57	ga_ls7e_ard_3-2-0_105075_2021-03-09_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-04-04 10:36:44	ga_ls7e_ard_3-2-0_111072_2021-04-04_final
2021-04-28 09:48:28	ga_ls7e_ard_3-2-0_103080_2021-04-28_final
2021-05-19 08:29:58	ga_ls7e_ard_3-2-0_090089_2021-05-18_final
2021-05-22 10:33:06	ga_ls7e_ard_3-2-0_111073_2021-05-22_final
2021-05-28 08:21:01	ga_ls7e_ard_3-2-0_089084_2021-05-27_final
2021-05-31 08:44:52	ga_ls7e_ard_3-2-0_094067_2021-05-30_final
2021-06-13 08:17:42	ga_ls7e_ard_3-2-0_089079_2021-06-12_final
2021-07-02 10:24:18	ga_ls7e_ard_3-2-0_110075_2021-07-02_final
2021-07-03 09:31:48	ga_ls7e_ard_3-2-0_101083_2021-07-03_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-07-27 10:19:34	ga_ls7e_ard_3-2-0_109084_2021-07-27_final
2021-07-31 09:50:55	ga_ls7e_ard_3-2-0_105075_2021-07-31_final
2021-08-11 09:29:24	ga_ls7e_ard_3-2-0_102070_2021-08-10_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-15 09:07:31	ga_ls7e_ard_3-2-0_098078_2021-08-14_final
2021-08-20 09:24:49	ga_ls7e_ard_3-2-0_101076_2021-08-19_final
2021-09-04 10:17:57	ga_ls7e_ard_3-2-0_110073_2021-09-04_final
2021-10-10 09:48:03	ga_ls7e_ard_3-2-0_106068_2021-10-10_final
2021-10-10 09:51:14	ga_ls7e_ard_3-2-0_106076_2021-10-10_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-03 09:00:01	ga_ls7e_ard_3-2-0_098077_2021-11-02_final
2021-12-10 09:12:37	ga_ls7e_ard_3-2-1_101071_2021-12-09_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-22 09:38:11	ga_ls7e_ard_3-2-1_105076_2021-12-22_final
2022-01-03 10:00:53	ga_ls7e_ard_3-2-1_109074_2022-01-03_final
2022-01-07 09:35:47	ga_ls7e_ard_3-2-1_105074_2022-01-07_final
2022-01-15 08:44:48	ga_ls7e_ard_3-2-1_097072_2022-01-14_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-21 09:25:37	ga_ls7e_ard_3-2-1_104082_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