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
2004-08-07 11:40:24	ga_ls7e_ard_3-0-0_115076_2004-08-07_final
2005-09-27 11:41:52	ga_ls7e_ard_3-0-0_115079_2005-09-27_final
2006-03-06 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-03-06_final
2006-07-28 11:41:18	ga_ls7e_ard_3-0-0_115076_2006-07-28_final
2006-12-03 11:42:54	ga_ls7e_ard_3-0-0_115079_2006-12-03_final
2007-06-13 11:41:52	ga_ls7e_ard_3-0-0_115076_2007-06-13_final
2008-04-12 11:41:44	ga_ls7e_ard_3-0-0_115076_2008-04-12_final
2009-01-09 11:42:04	ga_ls7e_ard_3-0-0_115078_2009-01-09_final
2014-05-15 11:49:43	ga_ls7e_ard_3-0-0_115078_2014-05-15_final
2014-09-04 11:48:51	ga_ls7e_ard_3-0-0_115075_2014-09-04_final
2015-05-02 11:51:43	ga_ls7e_ard_3-0-0_115078_2015-05-02_final
2017-01-15 11:54:09	ga_ls7e_ard_3-0-0_115077_2017-01-15_final
2017-06-08 11:54:35	ga_ls7e_ard_3-1-0_115077_2017-06-08_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2018-08-14 11:50:36	ga_ls7e_ard_3-1-0_115077_2018-08-14_final
2019-08-01 11:40:36	ga_ls7e_ard_3-0-0_115079_2019-08-01_final
2020-10-22 11:15:08	ga_ls7e_ard_3-1-0_115076_2020-10-22_final
2020-10-22 11:16:20	ga_ls7e_ard_3-1-0_115079_2020-10-22_final
2020-11-23 11:12:56	ga_ls7e_ard_3-1-0_115076_2020-11-23_final
2020-11-26 10:05:32	ga_ls7e_ard_3-1-0_104078_2020-11-26_final
2020-12-03 10:09:37	ga_ls7e_ard_3-1-0_105074_2020-12-03_final
2020-12-04 10:54:00	ga_ls7e_ard_3-1-0_112077_2020-12-04_final
2020-12-11 11:01:39	ga_ls7e_ard_3-1-0_113082_2020-12-11_final
2020-12-13 09:09:28	ga_ls7e_ard_3-1-0_095080_2020-12-12_final
2020-12-17 10:21:43	ga_ls7e_ard_3-1-0_107076_2020-12-17_final
2020-12-20 10:51:59	ga_ls7e_ard_3-1-0_112075_2020-12-20_final
2020-12-24 08:51:17	ga_ls7e_ard_3-1-0_092083_2020-12-23_final
2020-12-24 10:24:35	ga_ls7e_ard_3-1-0_108069_2020-12-24_final
2020-12-26 08:38:24	ga_ls7e_ard_3-1-0_090082_2020-12-25_final
2020-12-27 09:19:11	ga_ls7e_ard_3-1-0_097076_2020-12-26_final
2021-01-18 10:17:28	ga_ls7e_ard_3-1-0_107071_2021-01-18_final
2021-01-20 08:31:40	ga_ls7e_ard_3-2-0_089085_2021-01-19_final
2021-01-22 09:52:03	ga_ls7e_ard_3-2-0_103070_2021-01-22_final
2021-01-22 09:56:50	ga_ls7e_ard_3-2-0_103082_2021-01-22_final
2021-01-28 10:58:36	ga_ls7e_ard_3-2-0_113083_2021-01-28_final
2021-02-07 09:52:29	ga_ls7e_ard_3-2-0_103074_2021-02-07_final
2021-02-20 11:01:52	ga_ls7e_ard_3-2-0_114080_2021-02-20_final
2021-03-05 08:49:06	ga_ls7e_ard_3-2-0_093075_2021-03-04_final
2021-03-10 10:48:55	ga_ls7e_ard_3-2-0_112082_2021-03-10_final
2021-04-09 10:55:39	ga_ls7e_ard_3-2-0_114074_2021-04-09_final
2021-04-15 10:18:04	ga_ls7e_ard_3-2-0_108074_2021-04-15_final
2021-05-09 09:25:25	ga_ls7e_ard_3-2-0_100071_2021-05-08_final
2021-05-10 10:08:36	ga_ls7e_ard_3-2-0_107071_2021-05-10_final
2021-05-13 10:44:02	ga_ls7e_ard_3-2-0_112083_2021-05-13_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-26 10:11:13	ga_ls7e_ard_3-2-0_107081_2021-05-26_final
2021-05-29 08:59:00	ga_ls7e_ard_3-2-0_096071_2021-05-28_final
2021-06-05 09:06:59	ga_ls7e_ard_3-2-0_097077_2021-06-04_final
2021-06-08 09:36:27	ga_ls7e_ard_3-2-0_102074_2021-06-08_final
2021-06-12 09:13:24	ga_ls7e_ard_3-2-0_098079_2021-06-11_final
2021-06-16 08:47:09	ga_ls7e_ard_3-2-0_094076_2021-06-15_final
2021-06-30 08:59:09	ga_ls7e_ard_3-2-0_096078_2021-06-29_final
2021-07-03 09:27:48	ga_ls7e_ard_3-2-0_101073_2021-07-02_final
2021-07-06 10:02:26	ga_ls7e_ard_3-2-0_106083_2021-07-06_final
2021-07-08 09:44:43	ga_ls7e_ard_3-2-0_104070_2021-07-08_final
2021-07-11 08:39:41	ga_ls7e_ard_3-2-0_093078_2021-07-10_final
2021-07-20 08:34:19	ga_ls7e_ard_3-2-0_092082_2021-07-19_final
2021-07-29 10:04:39	ga_ls7e_ard_3-2-0_107078_2021-07-29_final
2021-08-05 10:07:25	ga_ls7e_ard_3-2-0_108071_2021-08-05_final
2021-08-10 10:28:18	ga_ls7e_ard_3-2-0_111078_2021-08-10_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-08 09:56:04	ga_ls7e_ard_3-2-0_106081_2021-09-08_final
2021-09-13 08:36:53	ga_ls7e_ard_3-2-0_093085_2021-09-12_final
2021-09-13 10:11:23	ga_ls7e_ard_3-2-0_109074_2021-09-13_final
2021-09-17 09:47:30	ga_ls7e_ard_3-2-0_105077_2021-09-17_final
2021-09-25 08:56:08	ga_ls7e_ard_3-2-0_097074_2021-09-24_final
2021-09-30 09:15:02	ga_ls7e_ard_3-2-0_100076_2021-09-29_final
2021-10-02 10:42:34	ga_ls7e_ard_3-2-0_114079_2021-10-02_final
2021-10-08 10:01:47	ga_ls7e_ard_3-2-0_108071_2021-10-08_final
2021-10-27 10:35:45	ga_ls7e_ard_3-2-0_113083_2021-10-27_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-11-08 09:15:41	ga_ls7e_ard_3-2-0_101071_2021-11-07_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-11-11 09:45:29	ga_ls7e_ard_3-2-0_106069_2021-11-11_final
2021-11-12 08:50:10	ga_ls7e_ard_3-2-0_097070_2021-11-11_final
2021-11-13 09:36:56	ga_ls7e_ard_3-2-1_104079_2021-11-13_final
2021-11-16 10:05:08	ga_ls7e_ard_3-2-1_109073_2021-11-16_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-12-02 08:30:19	ga_ls7e_ard_3-2-1_093087_2021-12-01_final
2021-12-05 08:54:33	ga_ls7e_ard_3-2-1_098071_2021-12-04_final
2021-12-05 08:54:57	ga_ls7e_ard_3-2-1_098072_2021-12-04_final
2021-12-11 08:20:30	ga_ls7e_ard_3-2-1_092080_2021-12-10_final
2021-12-11 08:20:54	ga_ls7e_ard_3-2-1_092081_2021-12-10_final
2021-12-12 09:04:51	ga_ls7e_ard_3-2-1_099083_2021-12-11_final
2021-12-18 08:24:48	ga_ls7e_ard_3-2-1_093077_2021-12-17_final
2021-12-18 08:28:24	ga_ls7e_ard_3-2-1_093086_2021-12-17_final
2021-12-25 10:07:59	ga_ls7e_ard_3-2-1_110074_2021-12-25_final
2021-12-29 09:46:03	ga_ls7e_ard_3-2-1_106082_2021-12-29_final
2022-01-13 10:39:25	ga_ls7e_ard_3-2-1_115080_2022-01-13_final
2022-02-02 08:35:52	ga_ls7e_ard_3-2-1_095085_2022-02-01_final
2022-02-09 08:41:20	ga_ls7e_ard_3-2-1_096085_2022-02-08_final
2022-02-14 08:56:09	ga_ls7e_ard_3-2-1_099077_2022-02-13_final
2022-02-24 09:33:52	ga_ls7e_ard_3-2-1_105081_2022-02-24_final
2022-02-27 08:26:48	ga_ls7e_ard_3-2-1_094084_2022-02-26_final
2022-03-04 10:20:08	ga_ls7e_ard_3-2-1_113075_2022-03-04_final
2022-03-18 08:51:01	ga_ls7e_ard_3-2-1_099072_2022-03-17_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-23 09:08:17	ga_ls7e_ard_3-2-1_102070_2022-03-22_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