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
2000-05-25 09:13:51	ga_ls7e_ard_3-0-0_090088_2000-05-24_final
2000-07-24 09:37:28	ga_ls7e_ard_3-0-0_094087_2000-07-24_final
2000-07-28 09:13:05	ga_ls7e_ard_3-0-0_090088_2000-07-27_final
2000-08-11 09:25:20	ga_ls7e_ard_3-0-0_092088_2000-08-10_final
2000-08-13 09:12:58	ga_ls7e_ard_3-0-0_090088_2000-08-12_final
2000-08-16 09:43:28	ga_ls7e_ard_3-0-0_095087_2000-08-16_final
2000-08-18 09:31:05	ga_ls7e_ard_3-1-0_093087_2000-08-18_final
2000-08-18 09:31:29	ga_ls7e_ard_3-0-0_093088_2000-08-18_final
2000-08-20 09:18:43	ga_ls7e_ard_3-0-0_091087_2000-08-19_final
2000-08-20 09:19:06	ga_ls7e_ard_3-0-0_091088_2000-08-19_final
2000-08-27 09:25:12	ga_ls7e_ard_3-0-0_092088_2000-08-26_final
2000-09-03 09:30:52	ga_ls7e_ard_3-0-0_093087_2000-09-03_final
2000-09-05 09:18:51	ga_ls7e_ard_3-0-0_091088_2000-09-04_final
2000-10-16 09:12:01	ga_ls7e_ard_3-0-0_090088_2000-10-15_final
2000-10-28 09:36:32	ga_ls7e_ard_3-0-0_094087_2000-10-28_final
2000-10-30 09:24:12	ga_ls7e_ard_3-0-0_092087_2000-10-29_final
2000-10-30 09:24:36	ga_ls7e_ard_3-0-0_092088_2000-10-29_final
2000-11-04 09:42:45	ga_ls7e_ard_3-0-0_095087_2000-11-04_final
2000-11-06 09:30:22	ga_ls7e_ard_3-0-0_093087_2000-11-06_final
2000-11-13 09:36:33	ga_ls7e_ard_3-0-0_094087_2000-11-13_final
2000-11-15 09:24:11	ga_ls7e_ard_3-0-0_092087_2000-11-14_final
2000-11-15 09:24:35	ga_ls7e_ard_3-0-0_092088_2000-11-14_final
2000-11-24 09:18:23	ga_ls7e_ard_3-0-0_091088_2000-11-23_final
2000-12-24 09:30:29	ga_ls7e_ard_3-0-0_093087_2000-12-24_final
2000-12-24 09:30:53	ga_ls7e_ard_3-1-0_093088_2000-12-24_final
2001-01-11 09:18:08	ga_ls7e_ard_3-0-0_091087_2001-01-10_final
2001-01-11 09:18:32	ga_ls7e_ard_3-0-0_091088_2001-01-10_final
2001-02-21 09:12:17	ga_ls7e_ard_3-0-0_090088_2001-02-20_final
2002-03-19 09:16:50	ga_ls7e_ard_3-0-0_091088_2002-03-18_final
2002-08-10 09:15:50	ga_ls7e_ard_3-0-0_091087_2002-08-09_final
2002-08-10 09:16:14	ga_ls7e_ard_3-0-0_091088_2002-08-09_final
2008-04-20 09:17:47	ga_ls7e_ard_3-0-0_091087_2008-04-19_final
2008-05-15 09:11:53	ga_ls7e_ard_3-0-0_090088_2008-05-14_final
2014-02-25 09:18:36	ga_ls7e_ard_3-0-0_090088_2014-02-24_final
2014-05-23 09:25:26	ga_ls7e_ard_3-0-0_091088_2014-05-22_final
2014-06-17 09:19:17	ga_ls7e_ard_3-0-0_090088_2014-06-16_final
2014-06-22 09:37:52	ga_ls7e_ard_3-0-0_093088_2014-06-22_final
2014-07-08 09:37:57	ga_ls7e_ard_3-0-0_093088_2014-07-08_final
2014-07-26 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-07-25_final
2014-08-25 09:38:02	ga_ls7e_ard_3-0-0_093088_2014-08-25_final
2014-08-27 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-08-26_final
2017-10-18 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-10-18_final
2017-10-20 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-10-20_final
2017-10-20 09:43:04	ga_ls7e_ard_3-0-0_093088_2017-10-20_final
2017-10-31 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-30_final
2017-11-12 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-11-12_final
2017-12-07 09:42:52	ga_ls7e_ard_3-0-0_093088_2017-12-07_final
2018-01-03 09:24:02	ga_ls7e_ard_3-0-0_090088_2018-01-02_final
2018-04-21 09:46:51	ga_ls7e_ard_3-0-0_094087_2018-04-21_final
2018-04-23 09:34:27	ga_ls7e_ard_3-0-0_092087_2018-04-23_final
2018-04-23 09:34:51	ga_ls7e_ard_3-0-0_092088_2018-04-23_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-04-30 09:40:54	ga_ls7e_ard_3-0-0_093088_2018-04-30_final
2018-05-09 09:34:09	ga_ls7e_ard_3-0-0_092087_2018-05-09_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-06-01 09:39:59	ga_ls7e_ard_3-0-0_093087_2018-06-01_final
2018-06-01 09:40:23	ga_ls7e_ard_3-0-0_093088_2018-06-01_final
2018-06-03 09:27:36	ga_ls7e_ard_3-0-0_091087_2018-06-02_final
2018-06-03 09:28:00	ga_ls7e_ard_3-0-0_091088_2018-06-02_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-06-17 09:40:06	ga_ls7e_ard_3-0-0_093088_2018-06-17_final
2018-06-19 09:27:18	ga_ls7e_ard_3-0-0_091087_2018-06-18_final
2018-06-19 09:27:42	ga_ls7e_ard_3-0-0_091088_2018-06-18_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-07-21 09:27:06	ga_ls7e_ard_3-0-0_091088_2018-07-20_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-08-04 09:38:48	ga_ls7e_ard_3-0-0_093087_2018-08-04_final
2018-08-13 09:32:28	ga_ls7e_ard_3-0-0_092087_2018-08-13_final
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2018-09-23 09:25:49	ga_ls7e_ard_3-0-0_091088_2018-09-22_final
2018-10-02 09:19:25	ga_ls7e_ard_3-0-0_090088_2018-10-01_final
2018-10-09 09:25:25	ga_ls7e_ard_3-0-0_091088_2018-10-08_final
2019-04-28 09:13:18	ga_ls7e_ard_3-0-0_090088_2019-04-27_final
2019-05-01 09:43:41	ga_ls7e_ard_3-0-0_095087_2019-05-01_final
2019-05-17 09:43:03	ga_ls7e_ard_3-0-0_095087_2019-05-17_final
2019-05-19 09:31:01	ga_ls7e_ard_3-0-0_093088_2019-05-19_final
2019-05-26 09:36:32	ga_ls7e_ard_3-0-0_094087_2019-05-26_final
2019-05-30 09:12:05	ga_ls7e_ard_3-0-0_090088_2019-05-29_final
2019-06-13 09:23:33	ga_ls7e_ard_3-0-0_092087_2019-06-12_final
2019-06-13 09:23:56	ga_ls7e_ard_3-0-0_092088_2019-06-12_final
2019-07-13 09:34:46	ga_ls7e_ard_3-0-0_094087_2019-07-13_final
2019-07-15 09:22:20	ga_ls7e_ard_3-0-0_092087_2019-07-14_final
2019-07-20 09:40:40	ga_ls7e_ard_3-0-0_095087_2019-07-20_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-07-22 09:28:38	ga_ls7e_ard_3-0-0_093088_2019-07-21_final
2019-08-18 09:08:59	ga_ls7e_ard_3-0-0_090088_2019-08-17_final
2019-08-23 09:26:55	ga_ls7e_ard_3-1-0_093087_2019-08-22_final
2019-09-06 09:38:40	ga_ls7e_ard_3-1-0_095087_2019-09-06_final
2019-09-08 09:26:13	ga_ls7e_ard_3-1-0_093087_2019-09-07_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-10-10 09:24:51	ga_ls7e_ard_3-1-0_093087_2019-10-09_final
2019-10-10 09:25:15	ga_ls7e_ard_3-1-0_093088_2019-10-09_final
2019-10-12 09:12:25	ga_ls7e_ard_3-1-0_091087_2019-10-11_final
2019-10-12 09:12:49	ga_ls7e_ard_3-1-0_091088_2019-10-11_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-10-28 09:12:07	ga_ls7e_ard_3-1-0_091088_2019-10-27_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-12-24 09:03:12	ga_ls7e_ard_3-1-0_090088_2019-12-23_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