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
2006-11-05 09:41:00	ga_ls7e_ard_3-0-0_095084_2006-11-05_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2006-11-05 11:19:53	ga_ls7e_ard_3-0-0_111084_2006-11-05_final
2006-11-07 09:28:40	ga_ls7e_ard_3-0-0_093084_2006-11-06_final
2006-11-07 09:29:04	ga_ls7e_ard_3-0-0_093085_2006-11-06_final
2006-11-07 11:07:33	ga_ls7e_ard_3-0-0_109084_2006-11-07_final
2006-11-08 10:11:56	ga_ls7e_ard_3-0-0_100084_2006-11-08_final
2006-11-09 09:16:20	ga_ls7e_ard_3-0-0_091084_2006-11-08_final
2006-11-09 09:16:43	ga_ls7e_ard_3-0-0_091085_2006-11-08_final
2006-11-09 10:55:13	ga_ls7e_ard_3-0-0_107084_2006-11-09_final
2006-11-10 09:59:36	ga_ls7e_ard_3-0-0_098084_2006-11-10_final
2006-11-10 10:00:00	ga_ls7e_ard_3-0-0_098085_2006-11-10_final
2006-11-11 09:03:59	ga_ls7e_ard_3-0-0_089084_2006-11-10_final
2006-11-11 09:04:23	ga_ls7e_ard_3-0-0_089085_2006-11-10_final
2013-08-10 09:09:19	ga_ls7e_ard_3-0-0_089084_2013-08-09_final
2013-08-10 09:09:43	ga_ls7e_ard_3-0-0_089085_2013-08-09_final
2013-08-11 09:52:35	ga_ls7e_ard_3-0-0_096084_2013-08-11_final
2013-08-11 09:52:59	ga_ls7e_ard_3-0-0_096085_2013-08-11_final
2013-08-11 11:31:28	ga_ls7e_ard_3-1-0_112084_2013-08-11_final
2013-08-13 09:40:16	ga_ls7e_ard_3-0-0_094084_2013-08-13_final
2013-08-13 09:40:39	ga_ls7e_ard_3-0-0_094085_2013-08-13_final
2013-08-13 11:19:09	ga_ls7e_ard_3-0-0_110084_2013-08-13_final
2013-11-22 09:59:45	ga_ls7e_ard_3-0-0_097084_2013-11-22_final
2013-11-22 10:00:09	ga_ls7e_ard_3-0-0_097085_2013-11-22_final
2013-11-24 09:47:25	ga_ls7e_ard_3-0-0_095084_2013-11-24_final
2013-11-24 09:47:49	ga_ls7e_ard_3-0-0_095085_2013-11-24_final
2013-11-26 09:35:05	ga_ls7e_ard_3-0-0_093084_2013-11-26_final
2013-11-26 09:35:29	ga_ls7e_ard_3-0-0_093085_2013-11-26_final
2013-11-26 11:13:58	ga_ls7e_ard_3-0-0_109084_2013-11-26_final
2013-11-27 10:18:22	ga_ls7e_ard_3-0-0_100084_2013-11-27_final
2014-02-28 09:47:54	ga_ls7e_ard_3-0-0_095084_2014-02-28_final
2014-02-28 09:48:18	ga_ls7e_ard_3-0-0_095085_2014-02-28_final
2014-02-28 11:26:48	ga_ls7e_ard_3-0-0_111084_2014-02-28_final
2014-03-02 09:35:35	ga_ls7e_ard_3-0-0_093084_2014-03-02_final
2014-03-02 09:35:59	ga_ls7e_ard_3-0-0_093085_2014-03-02_final
2014-03-02 11:14:28	ga_ls7e_ard_3-0-0_109084_2014-03-02_final
2014-03-03 10:18:51	ga_ls7e_ard_3-0-0_100084_2014-03-03_final
2014-03-04 09:23:15	ga_ls7e_ard_3-0-0_091084_2014-03-03_final
2014-03-04 09:23:39	ga_ls7e_ard_3-0-0_091085_2014-03-03_final
2014-03-04 11:02:08	ga_ls7e_ard_3-0-0_107084_2014-03-04_final
2014-03-14 10:00:24	ga_ls7e_ard_3-0-0_097084_2014-03-14_final
2014-03-14 10:00:48	ga_ls7e_ard_3-0-0_097085_2014-03-14_final
2014-03-16 09:48:04	ga_ls7e_ard_3-0-0_095084_2014-03-16_final
2014-03-16 11:26:57	ga_ls7e_ard_3-0-0_111084_2014-03-16_final
2014-03-18 09:35:43	ga_ls7e_ard_3-0-0_093084_2014-03-18_final
2014-03-18 09:36:07	ga_ls7e_ard_3-0-0_093085_2014-03-18_final
2014-03-18 11:14:36	ga_ls7e_ard_3-0-0_109084_2014-03-18_final
2017-11-30 09:35:09	ga_ls7e_ard_3-0-0_092084_2017-11-30_final
2017-11-30 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-11-30_final
2017-11-30 11:14:02	ga_ls7e_ard_3-0-0_108084_2017-11-30_final
2017-12-09 11:07:47	ga_ls7e_ard_3-0-0_107084_2017-12-09_final
2017-12-10 10:12:09	ga_ls7e_ard_3-0-0_098084_2017-12-10_final
2017-12-10 10:12:33	ga_ls7e_ard_3-0-0_098085_2017-12-10_final
2017-12-11 09:16:31	ga_ls7e_ard_3-0-0_089084_2017-12-10_final
2017-12-11 09:16:55	ga_ls7e_ard_3-0-0_089085_2017-12-10_final
2017-12-12 09:59:46	ga_ls7e_ard_3-0-0_096084_2017-12-12_final
2017-12-12 10:00:10	ga_ls7e_ard_3-0-0_096085_2017-12-12_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-08-09 09:56:03	ga_ls7e_ard_3-0-0_096084_2018-08-09_final
2018-08-09 09:56:27	ga_ls7e_ard_3-0-0_096085_2018-08-09_final
2018-08-09 11:34:56	ga_ls7e_ard_3-0-0_112084_2018-08-09_final
2018-08-11 09:43:40	ga_ls7e_ard_3-0-0_094084_2018-08-11_final
2018-08-11 09:44:04	ga_ls7e_ard_3-0-0_094085_2018-08-11_final
2018-08-11 11:22:33	ga_ls7e_ard_3-0-0_110084_2018-08-11_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2020-11-27 09:12:39	ga_ls7e_ard_3-1-0_095085_2020-11-26_final
2020-11-29 08:59:44	ga_ls7e_ard_3-1-0_093084_2020-11-28_final
2020-11-29 09:00:08	ga_ls7e_ard_3-1-0_093085_2020-11-28_final
2020-11-29 10:38:37	ga_ls7e_ard_3-1-0_109084_2020-11-29_final
2020-11-30 09:42:56	ga_ls7e_ard_3-1-0_100084_2020-11-30_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-01 08:47:38	ga_ls7e_ard_3-1-0_091085_2020-11-30_final
2020-12-01 10:26:07	ga_ls7e_ard_3-1-0_107084_2020-12-01_final
2020-12-13 09:11:04	ga_ls7e_ard_3-1-0_095084_2020-12-12_final
2020-12-13 09:11:28	ga_ls7e_ard_3-1-0_095085_2020-12-12_final
2020-12-15 08:58:33	ga_ls7e_ard_3-1-0_093084_2020-12-14_final
2020-12-15 08:58:57	ga_ls7e_ard_3-1-0_093085_2020-12-14_final
2020-12-16 09:41:44	ga_ls7e_ard_3-1-0_100084_2020-12-16_final
2020-12-17 08:46:26	ga_ls7e_ard_3-1-0_091085_2020-12-16_final
2020-12-17 10:24:55	ga_ls7e_ard_3-1-0_107084_2020-12-17_final
2020-12-18 09:29:13	ga_ls7e_ard_3-1-0_098084_2020-12-17_final
2020-12-18 09:29:37	ga_ls7e_ard_3-1-0_098085_2020-12-17_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2020-12-20 09:16:42	ga_ls7e_ard_3-1-0_096084_2020-12-19_final
2020-12-20 09:17:06	ga_ls7e_ard_3-1-0_096085_2020-12-19_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2021-02-03 10:21:29	ga_ls7e_ard_3-2-0_107084_2021-02-03_final
2021-02-05 08:30:06	ga_ls7e_ard_3-2-0_089084_2021-02-04_final
2021-02-05 08:30:30	ga_ls7e_ard_3-2-0_089085_2021-02-04_final
2021-02-06 09:13:17	ga_ls7e_ard_3-2-0_096084_2021-02-05_final
2021-02-06 09:13:41	ga_ls7e_ard_3-2-0_096085_2021-02-05_final
2021-02-06 10:52:10	ga_ls7e_ard_3-2-0_112084_2021-02-06_final
2021-02-08 09:00:46	ga_ls7e_ard_3-2-0_094084_2021-02-07_final
2021-02-08 09:01:10	ga_ls7e_ard_3-2-0_094085_2021-02-07_final
2021-02-10 08:48:16	ga_ls7e_ard_3-2-0_092084_2021-02-09_final
2021-02-10 08:48:40	ga_ls7e_ard_3-2-0_092085_2021-02-09_final
2021-02-10 10:27:09	ga_ls7e_ard_3-2-0_108084_2021-02-10_final
2021-02-13 10:57:49	ga_ls7e_ard_3-2-0_113084_2021-02-13_final
2021-02-15 09:06:26	ga_ls7e_ard_3-2-0_095084_2021-02-14_final
2021-02-15 09:06:50	ga_ls7e_ard_3-2-0_095085_2021-02-14_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