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
2000-03-13 09:20:14	ga_ls7e_ard_3-0-0_091087_2000-03-12_final
2000-03-18 09:38:48	ga_ls7e_ard_3-0-0_094087_2000-03-18_final
2000-03-25 09:44:59	ga_ls7e_ard_3-0-0_095087_2000-03-25_final
2000-03-27 09:32:35	ga_ls7e_ard_3-0-0_093087_2000-03-27_final
2000-03-29 09:20:12	ga_ls7e_ard_3-0-0_091087_2000-03-28_final
2000-04-03 09:38:41	ga_ls7e_ard_3-1-0_094087_2000-04-03_final
2000-04-05 09:26:17	ga_ls7e_ard_3-0-0_092087_2000-04-04_final
2000-04-21 09:26:08	ga_ls7e_ard_3-0-0_092087_2000-04-20_final
2000-04-28 09:32:21	ga_ls7e_ard_3-1-0_093087_2000-04-28_final
2000-05-07 09:26:02	ga_ls7e_ard_3-0-0_092087_2000-05-06_final
2000-05-12 09:44:31	ga_ls7e_ard_3-0-0_095087_2000-05-12_final
2000-05-16 09:19:47	ga_ls7e_ard_3-0-0_091087_2000-05-15_final
2000-05-23 09:25:50	ga_ls7e_ard_3-0-0_092087_2000-05-22_final
2000-05-30 09:31:58	ga_ls7e_ard_3-1-0_093087_2000-05-30_final
2000-06-06 09:38:03	ga_ls7e_ard_3-0-0_094087_2000-06-06_final
2000-06-08 09:25:41	ga_ls7e_ard_3-0-0_092087_2000-06-07_final
2000-06-13 09:44:15	ga_ls7e_ard_3-0-0_095087_2000-06-13_final
2000-06-15 09:31:53	ga_ls7e_ard_3-1-0_093087_2000-06-15_final
2000-06-17 09:19:31	ga_ls7e_ard_3-0-0_091087_2000-06-16_final
2000-06-22 09:38:00	ga_ls7e_ard_3-0-0_094087_2000-06-22_final
2000-06-24 09:25:36	ga_ls7e_ard_3-0-0_092087_2000-06-23_final
2000-07-03 09:19:18	ga_ls7e_ard_3-0-0_091087_2000-07-02_final
2000-07-08 09:37:46	ga_ls7e_ard_3-0-0_094087_2000-07-08_final
2000-07-10 09:25:22	ga_ls7e_ard_3-0-0_092087_2000-07-09_final
2000-07-24 09:37:28	ga_ls7e_ard_3-0-0_094087_2000-07-24_final
2000-08-04 09:18:48	ga_ls7e_ard_3-0-0_091087_2000-08-03_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
2000-08-20 09:18:43	ga_ls7e_ard_3-0-0_091087_2000-08-19_final
2000-09-03 09:30:52	ga_ls7e_ard_3-0-0_093087_2000-09-03_final
2000-09-05 09:18:27	ga_ls7e_ard_3-0-0_091087_2000-09-04_final
2000-09-17 09:42:56	ga_ls7e_ard_3-0-0_095087_2000-09-17_final
2000-09-21 09:18:08	ga_ls7e_ard_3-0-0_091087_2000-09-20_final
2000-09-28 09:24:17	ga_ls7e_ard_3-0-0_092087_2000-09-27_final
2000-10-05 09:30:27	ga_ls7e_ard_3-1-0_093087_2000-10-05_final
2005-07-24 09:23:16	ga_ls7e_ard_3-0-0_092087_2005-07-23_final
2005-08-25 09:23:07	ga_ls7e_ard_3-0-0_092087_2005-08-24_final
2005-08-27 09:10:20	ga_ls7e_ard_3-0-0_090086_2005-08-26_final
2005-10-12 09:22:55	ga_ls7e_ard_3-0-0_092087_2005-10-11_final
2013-10-27 09:23:44	ga_ls7e_ard_3-0-0_091087_2013-10-26_final
2013-11-17 09:42:23	ga_ls7e_ard_3-0-0_094087_2013-11-17_final
2014-01-22 09:30:34	ga_ls7e_ard_3-0-0_092087_2014-01-22_final
2014-02-07 09:30:44	ga_ls7e_ard_3-0-0_092087_2014-02-07_final
2016-07-31 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-07-31_final
2016-08-23 09:36:30	ga_ls7e_ard_3-0-0_092087_2016-08-23_final
2016-09-24 09:36:35	ga_ls7e_ard_3-0-0_092087_2016-09-24_final
2016-10-08 09:48:58	ga_ls7e_ard_3-0-0_094087_2016-10-08_final
2016-10-10 09:36:36	ga_ls7e_ard_3-0-0_092087_2016-10-10_final
2016-10-17 09:42:46	ga_ls7e_ard_3-0-0_093087_2016-10-17_final
2016-10-19 09:30:24	ga_ls7e_ard_3-0-0_091087_2016-10-19_final
2016-10-31 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-10-31_final
2016-11-18 09:42:34	ga_ls7e_ard_3-1-0_093087_2016-11-18_final
2016-11-20 09:30:12	ga_ls7e_ard_3-1-0_091087_2016-11-20_final
2016-12-13 09:36:18	ga_ls7e_ard_3-0-0_092087_2016-12-13_final
2016-12-18 09:54:49	ga_ls7e_ard_3-0-0_095087_2016-12-18_final
2016-12-20 09:42:26	ga_ls7e_ard_3-1-0_093087_2016-12-20_final
2017-01-28 09:48:14	ga_ls7e_ard_3-0-0_094087_2017-01-28_final
2018-09-12 09:44:12	ga_ls7e_ard_3-0-0_094087_2018-09-12_final
2018-09-14 09:31:48	ga_ls7e_ard_3-0-0_092087_2018-09-14_final
2018-09-19 09:50:13	ga_ls7e_ard_3-0-0_095087_2018-09-19_final
2018-10-23 09:37:03	ga_ls7e_ard_3-0-0_093087_2018-10-23_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-15 09:42:43	ga_ls7e_ard_3-0-0_094087_2018-11-15_final
2018-11-17 09:30:19	ga_ls7e_ard_3-0-0_092087_2018-11-17_final
2018-12-01 09:42:19	ga_ls7e_ard_3-0-0_094087_2018-12-01_final
2018-12-10 09:35:54	ga_ls7e_ard_3-1-0_093087_2018-12-10_final
2018-12-12 09:23:05	ga_ls7e_ard_3-1-0_091086_2018-12-11_final
2018-12-12 09:23:29	ga_ls7e_ard_3-0-0_091087_2018-12-11_final
2018-12-24 09:47:52	ga_ls7e_ard_3-0-0_095087_2018-12-24_final
2018-12-26 09:35:03	ga_ls7e_ard_3-0-0_093086_2018-12-26_final
2018-12-26 09:35:26	ga_ls7e_ard_3-0-0_093087_2018-12-26_final
2018-12-28 09:23:01	ga_ls7e_ard_3-0-0_091087_2018-12-27_final
2018-12-31 09:53:26	ga_ls7e_ard_3-1-0_096086_2018-12-31_final
2019-01-04 09:28:35	ga_ls7e_ard_3-0-0_092086_2019-01-03_final
2019-01-04 09:28:59	ga_ls7e_ard_3-0-0_092087_2019-01-03_final
2019-01-20 09:28:29	ga_ls7e_ard_3-0-0_092087_2019-01-19_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-01-29 09:21:36	ga_ls7e_ard_3-1-0_091086_2019-01-28_final
2019-01-29 09:22:00	ga_ls7e_ard_3-0-0_091087_2019-01-28_final
2019-02-14 09:21:32	ga_ls7e_ard_3-0-0_091087_2019-02-13_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-03-18 09:20:31	ga_ls7e_ard_3-1-0_091087_2019-03-17_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-03-25 09:26:28	ga_ls7e_ard_3-1-0_092087_2019-03-24_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_final
2019-04-08 09:38:21	ga_ls7e_ard_3-0-0_094087_2019-04-08_final
2019-04-10 09:25:55	ga_ls7e_ard_3-0-0_092087_2019-04-09_final
2019-04-15 09:43:53	ga_ls7e_ard_3-0-0_095086_2019-04-15_final
2019-04-15 09:44:16	ga_ls7e_ard_3-0-0_095087_2019-04-15_final
2019-04-24 09:37:46	ga_ls7e_ard_3-0-0_094087_2019-04-24_final
2019-04-26 09:24:56	ga_ls7e_ard_3-0-0_092086_2019-04-25_final
2019-04-26 09:25:20	ga_ls7e_ard_3-0-0_092087_2019-04-25_final
2019-04-28 09:12:30	ga_ls7e_ard_3-0-0_090086_2019-04-27_final
2019-05-01 09:43:41	ga_ls7e_ard_3-0-0_095087_2019-05-01_final
2019-05-03 09:31:15	ga_ls7e_ard_3-0-0_093087_2019-05-03_final
2019-05-05 09:18:25	ga_ls7e_ard_3-1-0_091086_2019-05-04_final
2019-05-05 09:18:48	ga_ls7e_ard_3-0-0_091087_2019-05-04_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_final
2019-05-24 09:48:34	ga_ls7e_ard_3-1-0_096086_2019-05-24_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