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
1999-07-17 09:20:04	ga_ls7e_ard_3-1-0_091086_1999-07-16_final
1999-07-17 09:20:28	ga_ls7e_ard_3-0-0_091087_1999-07-16_final
1999-08-14 09:44:52	ga_ls7e_ard_3-0-0_095086_1999-08-14_final
1999-08-14 09:45:16	ga_ls7e_ard_3-0-0_095087_1999-08-14_final
1999-12-06 09:32:30	ga_ls7e_ard_3-0-0_093086_1999-12-06_final
1999-12-06 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-12-06_final
2000-01-23 09:32:26	ga_ls7e_ard_3-0-0_093086_2000-01-23_final
2000-01-23 09:32:50	ga_ls7e_ard_3-1-0_093087_2000-01-23_final
2006-12-20 09:11:17	ga_ls7e_ard_3-0-0_090086_2006-12-19_final
2006-12-25 09:30:14	ga_ls7e_ard_3-1-0_093087_2006-12-25_final
2007-01-15 09:48:23	ga_ls7e_ard_3-1-0_096086_2007-01-15_final
2007-01-17 09:36:01	ga_ls7e_ard_3-0-0_094086_2007-01-17_final
2007-01-28 09:17:35	ga_ls7e_ard_3-1-0_091086_2007-01-27_final
2007-01-31 09:48:30	ga_ls7e_ard_3-1-0_096086_2007-01-31_final
2007-02-20 09:23:54	ga_ls7e_ard_3-0-0_092086_2007-02-19_final
2007-02-20 09:24:18	ga_ls7e_ard_3-0-0_092087_2007-02-19_final
2007-02-22 09:11:33	ga_ls7e_ard_3-0-0_090086_2007-02-21_final
2007-03-17 09:17:48	ga_ls7e_ard_3-1-0_091086_2007-03-16_final
2007-03-17 09:18:12	ga_ls7e_ard_3-0-0_091087_2007-03-16_final
2007-04-18 09:18:10	ga_ls7e_ard_3-0-0_091087_2007-04-17_final
2007-04-25 09:24:20	ga_ls7e_ard_3-0-0_092087_2007-04-24_final
2007-06-03 09:30:17	ga_ls7e_ard_3-0-0_093087_2007-06-03_final
2007-06-05 09:17:56	ga_ls7e_ard_3-0-0_091087_2007-06-04_final
2007-06-08 09:48:26	ga_ls7e_ard_3-1-0_096086_2007-06-08_final
2007-07-19 09:42:10	ga_ls7e_ard_3-0-0_095086_2007-07-19_final
2007-08-31 09:23:22	ga_ls7e_ard_3-0-0_092086_2007-08-30_final
2007-08-31 09:23:46	ga_ls7e_ard_3-0-0_092087_2007-08-30_final
2007-09-02 09:11:00	ga_ls7e_ard_3-0-0_090086_2007-09-01_final
2007-09-09 09:17:07	ga_ls7e_ard_3-1-0_091086_2007-09-08_final
2007-09-09 09:17:31	ga_ls7e_ard_3-0-0_091087_2007-09-08_final
2007-09-21 09:42:11	ga_ls7e_ard_3-0-0_095087_2007-09-21_final
2007-09-23 09:29:25	ga_ls7e_ard_3-0-0_093086_2007-09-22_final
2007-10-27 09:17:36	ga_ls7e_ard_3-0-0_091087_2007-10-26_final
2008-01-11 09:42:45	ga_ls7e_ard_3-0-0_095087_2008-01-11_final
2008-01-13 09:30:23	ga_ls7e_ard_3-1-0_093087_2008-01-13_final
2008-03-19 09:17:49	ga_ls7e_ard_3-0-0_091087_2008-03-18_final
2014-09-17 09:43:54	ga_ls7e_ard_3-0-0_094087_2014-09-17_final
2014-09-26 09:37:24	ga_ls7e_ard_3-0-0_093086_2014-09-26_final
2014-09-26 09:37:48	ga_ls7e_ard_3-0-0_093087_2014-09-26_final
2014-10-05 09:31:46	ga_ls7e_ard_3-0-0_092087_2014-10-05_final
2014-10-10 09:50:20	ga_ls7e_ard_3-0-0_095087_2014-10-10_final
2014-10-12 09:37:59	ga_ls7e_ard_3-0-0_093087_2014-10-12_final
2014-10-21 09:31:54	ga_ls7e_ard_3-0-0_092087_2014-10-21_final
2015-01-02 09:26:11	ga_ls7e_ard_3-0-0_091087_2015-01-01_final
2015-01-05 09:56:43	ga_ls7e_ard_3-1-0_096086_2015-01-05_final
2015-01-07 09:44:46	ga_ls7e_ard_3-0-0_094087_2015-01-07_final
2015-03-14 09:32:23	ga_ls7e_ard_3-0-0_092086_2015-03-14_final
2015-03-14 09:32:47	ga_ls7e_ard_3-0-0_092087_2015-03-14_final
2015-03-28 09:44:52	ga_ls7e_ard_3-0-0_094086_2015-03-28_final
2015-04-06 09:39:10	ga_ls7e_ard_3-0-0_093087_2015-04-06_final
2015-04-08 09:26:50	ga_ls7e_ard_3-0-0_091087_2015-04-07_final
2015-04-10 09:14:05	ga_ls7e_ard_3-0-0_089086_2015-04-09_final
2015-04-29 09:45:30	ga_ls7e_ard_3-0-0_094087_2015-04-29_final
2015-05-01 09:33:09	ga_ls7e_ard_3-0-0_092087_2015-05-01_final
2015-05-10 09:26:40	ga_ls7e_ard_3-1-0_091086_2015-05-09_final
2019-10-31 09:42:05	ga_ls7e_ard_3-1-0_096086_2019-10-31_final
2019-11-04 09:17:12	ga_ls7e_ard_3-1-0_092086_2019-11-03_final
2019-11-04 09:17:35	ga_ls7e_ard_3-1-0_092087_2019-11-03_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2019-12-11 09:33:58	ga_ls7e_ard_3-1-0_095086_2019-12-11_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-15 09:09:03	ga_ls7e_ard_3-1-0_091086_2019-12-14_final
2019-12-27 09:33:09	ga_ls7e_ard_3-1-0_095086_2019-12-27_final
2019-12-27 09:33:33	ga_ls7e_ard_3-1-0_095087_2019-12-27_final
2019-12-29 09:20:41	ga_ls7e_ard_3-1-0_093086_2019-12-28_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2020-01-02 08:55:45	ga_ls7e_ard_3-1-0_089086_2020-01-01_final
2020-01-03 09:38:58	ga_ls7e_ard_3-1-0_096086_2020-01-03_final
2020-01-21 09:25:42	ga_ls7e_ard_3-1-0_094086_2020-01-20_final
2020-02-01 09:06:37	ga_ls7e_ard_3-1-0_091086_2020-01-31_final
2020-02-01 09:07:01	ga_ls7e_ard_3-1-0_091087_2020-01-31_final
2020-02-03 08:54:09	ga_ls7e_ard_3-1-0_089086_2020-02-02_final
2020-02-04 09:37:22	ga_ls7e_ard_3-1-0_096086_2020-02-04_final
2020-03-25 09:22:20	ga_ls7e_ard_3-1-0_094086_2020-03-24_final
2020-03-27 09:09:52	ga_ls7e_ard_3-1-0_092086_2020-03-26_final
2020-03-27 09:10:15	ga_ls7e_ard_3-1-0_092087_2020-03-26_final
2020-04-01 09:28:07	ga_ls7e_ard_3-1-0_095086_2020-03-31_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-03 09:15:39	ga_ls7e_ard_3-1-0_093086_2020-04-02_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-05 09:03:10	ga_ls7e_ard_3-1-0_091086_2020-04-04_final
2020-04-07 08:50:42	ga_ls7e_ard_3-1-0_089086_2020-04-06_final
2020-04-10 09:21:25	ga_ls7e_ard_3-1-0_094086_2020-04-09_final
2020-05-05 09:13:46	ga_ls7e_ard_3-1-0_093086_2020-05-04_final
2020-05-05 09:14:10	ga_ls7e_ard_3-1-0_093087_2020-05-04_final
2020-05-07 09:01:17	ga_ls7e_ard_3-1-0_091086_2020-05-06_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-05-16 08:54:33	ga_ls7e_ard_3-1-0_090086_2020-05-15_final
2020-05-19 09:25:40	ga_ls7e_ard_3-1-0_095087_2020-05-18_final
2020-05-21 09:12:47	ga_ls7e_ard_3-1-0_093086_2020-05-20_final
2020-05-21 09:13:11	ga_ls7e_ard_3-1-0_093087_2020-05-20_final
2020-05-23 09:00:42	ga_ls7e_ard_3-1-0_091087_2020-05-22_final
2020-05-26 09:31:00	ga_ls7e_ard_3-1-0_096086_2020-05-26_final
2020-05-28 09:18:32	ga_ls7e_ard_3-1-0_094086_2020-05-27_final
2020-05-28 09:18:56	ga_ls7e_ard_3-1-0_094087_2020-05-27_final
2020-05-30 09:06:03	ga_ls7e_ard_3-1-0_092086_2020-05-29_final
2020-05-30 09:06:27	ga_ls7e_ard_3-1-0_092087_2020-05-29_final
2020-06-24 08:58:25	ga_ls7e_ard_3-1-0_091086_2020-06-23_final
2020-06-24 08:58:49	ga_ls7e_ard_3-1-0_091087_2020-06-23_final
2020-06-26 08:45:56	ga_ls7e_ard_3-1-0_089086_2020-06-25_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