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
2006-07-11 09:22:53	ga_ls7e_ard_3-0-0_092085_2006-07-10_final
2006-07-11 09:23:17	ga_ls7e_ard_3-0-0_092086_2006-07-10_final
2006-07-13 09:10:30	ga_ls7e_ard_3-0-0_090085_2006-07-12_final
2006-07-13 09:10:54	ga_ls7e_ard_3-0-0_090086_2006-07-12_final
2006-09-29 09:22:29	ga_ls7e_ard_3-0-0_092085_2006-09-28_final
2006-09-29 09:22:53	ga_ls7e_ard_3-0-0_092086_2006-09-28_final
2006-10-01 09:10:06	ga_ls7e_ard_3-1-0_090085_2006-09-30_final
2006-10-01 09:10:30	ga_ls7e_ard_3-0-0_090086_2006-09-30_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2006-11-05 09:41:48	ga_ls7e_ard_3-0-0_095086_2006-11-05_final
2006-11-07 09:29:04	ga_ls7e_ard_3-0-0_093085_2006-11-06_final
2006-12-05 09:54:04	ga_ls7e_ard_3-0-0_097085_2006-12-05_final
2006-12-07 09:41:43	ga_ls7e_ard_3-0-0_095085_2006-12-07_final
2006-12-07 09:42:07	ga_ls7e_ard_3-0-0_095086_2006-12-07_final
2006-12-09 09:29:22	ga_ls7e_ard_3-0-0_093085_2006-12-08_final
2006-12-09 09:29:46	ga_ls7e_ard_3-1-0_093086_2006-12-08_final
2007-01-10 09:29:27	ga_ls7e_ard_3-0-0_093085_2007-01-09_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-01-12 09:17:05	ga_ls7e_ard_3-0-0_091085_2007-01-11_final
2007-01-12 09:17:29	ga_ls7e_ard_3-1-0_091086_2007-01-11_final
2007-01-17 09:36:01	ga_ls7e_ard_3-0-0_094086_2007-01-17_final
2007-01-31 09:48:06	ga_ls7e_ard_3-0-0_096085_2007-01-31_final
2007-01-31 09:48:30	ga_ls7e_ard_3-1-0_096086_2007-01-31_final
2007-02-02 09:35:45	ga_ls7e_ard_3-0-0_094085_2007-02-02_final
2007-02-02 09:36:09	ga_ls7e_ard_3-0-0_094086_2007-02-02_final
2007-02-04 09:23:25	ga_ls7e_ard_3-0-0_092085_2007-02-03_final
2007-02-04 09:23:49	ga_ls7e_ard_3-0-0_092086_2007-02-03_final
2007-02-06 09:11:04	ga_ls7e_ard_3-1-0_090085_2007-02-05_final
2007-02-06 09:11:28	ga_ls7e_ard_3-0-0_090086_2007-02-05_final
2013-12-03 09:41:44	ga_ls7e_ard_3-0-0_094085_2013-12-03_final
2013-12-03 09:42:08	ga_ls7e_ard_3-0-0_094086_2013-12-03_final
2013-12-07 09:17:02	ga_ls7e_ard_3-1-0_090085_2013-12-06_final
2013-12-07 09:17:26	ga_ls7e_ard_3-0-0_090086_2013-12-06_final
2013-12-08 10:00:18	ga_ls7e_ard_3-0-0_097085_2013-12-08_final
2014-01-13 09:35:45	ga_ls7e_ard_3-0-0_093085_2014-01-13_final
2014-01-13 09:36:09	ga_ls7e_ard_3-0-0_093086_2014-01-13_final
2014-01-15 09:23:26	ga_ls7e_ard_3-0-0_091085_2014-01-14_final
2014-01-15 09:23:50	ga_ls7e_ard_3-1-0_091086_2014-01-14_final
2014-01-17 09:11:07	ga_ls7e_ard_3-0-0_089085_2014-01-16_final
2014-01-17 09:11:31	ga_ls7e_ard_3-0-0_089086_2014-01-16_final
2014-01-18 09:54:48	ga_ls7e_ard_3-1-0_096086_2014-01-18_final
2014-01-20 09:42:05	ga_ls7e_ard_3-0-0_094085_2014-01-20_final
2014-01-20 09:42:29	ga_ls7e_ard_3-0-0_094086_2014-01-20_final
2014-01-31 09:23:44	ga_ls7e_ard_3-0-0_091085_2014-01-30_final
2014-01-31 09:24:08	ga_ls7e_ard_3-1-0_091086_2014-01-30_final
2014-02-01 10:07:00	ga_ls7e_ard_3-0-0_098085_2014-02-01_final
2014-02-02 09:11:23	ga_ls7e_ard_3-0-0_089085_2014-02-01_final
2014-02-02 09:11:47	ga_ls7e_ard_3-0-0_089086_2014-02-01_final
2014-02-07 09:29:56	ga_ls7e_ard_3-1-0_092085_2014-02-06_final
2014-02-07 09:30:20	ga_ls7e_ard_3-0-0_092086_2014-02-07_final
2014-07-17 09:30:34	ga_ls7e_ard_3-0-0_092085_2014-07-17_final
2014-07-17 09:30:58	ga_ls7e_ard_3-0-0_092086_2014-07-17_final
2014-10-16 09:12:30	ga_ls7e_ard_3-0-0_089085_2014-10-15_final
2014-10-16 09:12:54	ga_ls7e_ard_3-0-0_089086_2014-10-15_final
2014-10-17 09:55:46	ga_ls7e_ard_3-0-0_096085_2014-10-17_final
2014-10-17 09:56:10	ga_ls7e_ard_3-1-0_096086_2014-10-17_final
2017-06-01 10:12:41	ga_ls7e_ard_3-0-0_098085_2017-06-01_final
2017-06-02 09:17:04	ga_ls7e_ard_3-0-0_089085_2017-06-01_final
2017-06-02 09:17:28	ga_ls7e_ard_3-0-0_089086_2017-06-01_final
2017-06-03 10:00:20	ga_ls7e_ard_3-0-0_096085_2017-06-03_final
2017-06-03 10:00:44	ga_ls7e_ard_3-1-0_096086_2017-06-03_final
2018-04-30 09:39:43	ga_ls7e_ard_3-0-0_093085_2018-04-30_final
2018-04-30 09:40:07	ga_ls7e_ard_3-0-0_093086_2018-04-30_final
2018-05-02 09:27:43	ga_ls7e_ard_3-1-0_091086_2018-05-01_final
2018-06-03 09:26:48	ga_ls7e_ard_3-0-0_091085_2018-06-02_final
2018-06-03 09:27:12	ga_ls7e_ard_3-1-0_091086_2018-06-02_final
2018-07-05 09:26:11	ga_ls7e_ard_3-0-0_091085_2018-07-04_final
2018-07-05 09:26:35	ga_ls7e_ard_3-1-0_091086_2018-07-04_final
2018-11-17 09:29:31	ga_ls7e_ard_3-0-0_092085_2018-11-16_final
2018-11-19 09:17:06	ga_ls7e_ard_3-0-0_090085_2018-11-18_final
2018-11-19 09:17:30	ga_ls7e_ard_3-0-0_090086_2018-11-18_final
2019-01-30 10:04:26	ga_ls7e_ard_3-0-0_098085_2019-01-30_final
2019-01-31 09:08:47	ga_ls7e_ard_3-0-0_089085_2019-01-30_final
2019-01-31 09:09:11	ga_ls7e_ard_3-0-0_089086_2019-01-30_final
2019-02-01 09:52:01	ga_ls7e_ard_3-0-0_096085_2019-02-01_final
2019-02-01 09:52:25	ga_ls7e_ard_3-1-0_096086_2019-02-01_final
2019-04-24 09:37:22	ga_ls7e_ard_3-0-0_094086_2019-04-24_final
2019-04-26 09:24:32	ga_ls7e_ard_3-0-0_092085_2019-04-25_final
2019-04-26 09:24:56	ga_ls7e_ard_3-0-0_092086_2019-04-25_final
2019-05-24 09:48:10	ga_ls7e_ard_3-0-0_096085_2019-05-24_final
2019-05-24 09:48:34	ga_ls7e_ard_3-1-0_096086_2019-05-24_final
2019-05-26 09:35:45	ga_ls7e_ard_3-0-0_094085_2019-05-26_final
2019-05-26 09:36:08	ga_ls7e_ard_3-0-0_094086_2019-05-26_final
2019-07-11 09:46:24	ga_ls7e_ard_3-0-0_096085_2019-07-11_final
2019-07-13 09:33:58	ga_ls7e_ard_3-0-0_094085_2019-07-13_final
2019-07-13 09:34:22	ga_ls7e_ard_3-0-0_094086_2019-07-13_final
2019-09-17 09:18:51	ga_ls7e_ard_3-1-0_092085_2019-09-16_final
2019-09-17 09:19:15	ga_ls7e_ard_3-1-0_092086_2019-09-16_final
2019-10-12 09:11:37	ga_ls7e_ard_3-1-0_091085_2019-10-11_final
2019-10-12 09:12:01	ga_ls7e_ard_3-1-0_091086_2019-10-11_final
2019-10-15 09:42:23	ga_ls7e_ard_3-1-0_096085_2019-10-15_final
2019-12-18 09:39:24	ga_ls7e_ard_3-1-0_096085_2019-12-18_final
2019-12-18 09:39:48	ga_ls7e_ard_3-1-0_096086_2019-12-18_final
2019-12-20 09:26:56	ga_ls7e_ard_3-1-0_094085_2019-12-19_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-22 09:14:28	ga_ls7e_ard_3-1-0_092085_2019-12-21_final
2019-12-22 09:14:52	ga_ls7e_ard_3-1-0_092086_2019-12-21_final
2020-02-10 08:59:35	ga_ls7e_ard_3-1-0_090085_2020-02-09_final
2020-02-13 09:30:19	ga_ls7e_ard_3-1-0_095085_2020-02-13_final
2020-02-13 09:30:43	ga_ls7e_ard_3-1-0_095086_2020-02-13_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