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
2005-03-20 09:10:47	ga_ls7e_ard_3-0-0_090086_2005-03-19_final
2005-03-23 09:41:41	ga_ls7e_ard_3-0-0_095086_2005-03-23_final
2005-03-30 09:47:50	ga_ls7e_ard_3-1-0_096086_2005-03-30_final
2005-04-01 09:35:28	ga_ls7e_ard_3-0-0_094086_2005-04-01_final
2005-04-01 09:35:52	ga_ls7e_ard_3-0-0_094087_2005-04-01_final
2005-04-05 09:10:44	ga_ls7e_ard_3-0-0_090086_2005-04-04_final
2005-05-23 09:10:41	ga_ls7e_ard_3-0-0_090086_2005-05-22_final
2005-06-01 09:04:28	ga_ls7e_ard_3-0-0_089086_2005-05-31_final
2005-06-24 09:10:30	ga_ls7e_ard_3-0-0_090086_2005-06-23_final
2005-07-24 09:23:16	ga_ls7e_ard_3-0-0_092087_2005-07-23_final
2005-07-26 09:10:30	ga_ls7e_ard_3-0-0_090086_2005-07-25_final
2005-08-25 09:22:43	ga_ls7e_ard_3-0-0_092086_2005-08-24_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
2005-09-10 09:22:33	ga_ls7e_ard_3-0-0_092086_2005-09-09_final
2005-09-12 09:10:10	ga_ls7e_ard_3-0-0_090086_2005-09-11_final
2005-10-12 09:22:55	ga_ls7e_ard_3-0-0_092087_2005-10-11_final
2009-01-15 09:29:44	ga_ls7e_ard_3-1-0_093087_2009-01-14_final
2009-01-17 09:17:23	ga_ls7e_ard_3-0-0_091087_2009-01-16_final
2009-01-31 09:29:48	ga_ls7e_ard_3-1-0_093087_2009-01-30_final
2009-02-07 09:36:02	ga_ls7e_ard_3-0-0_094087_2009-02-07_final
2009-02-09 09:23:41	ga_ls7e_ard_3-0-0_092087_2009-02-08_final
2009-02-23 09:36:11	ga_ls7e_ard_3-0-0_094087_2009-02-23_final
2009-03-13 09:23:59	ga_ls7e_ard_3-0-0_092087_2009-03-12_final
2009-04-07 09:17:58	ga_ls7e_ard_3-0-0_091087_2009-04-06_final
2009-04-23 09:18:03	ga_ls7e_ard_3-0-0_091087_2009-04-22_final
2009-06-15 09:36:38	ga_ls7e_ard_3-0-0_094087_2009-06-15_final
2009-06-17 09:24:16	ga_ls7e_ard_3-0-0_092087_2009-06-16_final
2009-07-03 09:24:13	ga_ls7e_ard_3-0-0_092087_2009-07-02_final
2009-07-08 09:42:45	ga_ls7e_ard_3-0-0_095087_2009-07-08_final
2009-07-10 09:30:23	ga_ls7e_ard_3-1-0_093087_2009-07-10_final
2009-07-12 09:18:00	ga_ls7e_ard_3-0-0_091087_2009-07-11_final
2009-08-02 09:36:26	ga_ls7e_ard_3-0-0_094087_2009-08-02_final
2009-08-04 09:24:04	ga_ls7e_ard_3-0-0_092087_2009-08-03_final
2009-08-13 09:17:50	ga_ls7e_ard_3-0-0_091087_2009-08-12_final
2016-12-29 09:36:11	ga_ls7e_ard_3-0-0_092087_2016-12-29_final
2017-01-19 09:54:29	ga_ls7e_ard_3-0-0_095087_2017-01-19_final
2018-02-27 09:28:40	ga_ls7e_ard_3-1-0_091086_2018-02-26_final
2018-02-27 09:29:04	ga_ls7e_ard_3-0-0_091087_2018-02-26_final
2018-08-04 09:38:48	ga_ls7e_ard_3-0-0_093087_2018-08-04_final
2018-08-06 09:26:01	ga_ls7e_ard_3-1-0_091086_2018-08-05_final
2018-09-21 09:37:49	ga_ls7e_ard_3-1-0_093087_2018-09-21_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2018-10-07 09:37:02	ga_ls7e_ard_3-0-0_093086_2018-10-07_final
2018-10-07 09:37:26	ga_ls7e_ard_3-1-0_093087_2018-10-07_final
2018-10-18 09:18:13	ga_ls7e_ard_3-0-0_090086_2018-10-17_final
2018-11-01 09:30:17	ga_ls7e_ard_3-0-0_092086_2018-11-01_final
2018-11-10 09:24:18	ga_ls7e_ard_3-0-0_091087_2018-11-09_final
2018-11-12 09:11:30	ga_ls7e_ard_3-0-0_089086_2018-11-11_final
2018-11-26 09:23:55	ga_ls7e_ard_3-0-0_091087_2018-11-25_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
2019-02-07 09:15:10	ga_ls7e_ard_3-0-0_090086_2019-02-06_final
2019-03-07 09:39:01	ga_ls7e_ard_3-1-0_094086_2019-03-07_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_final
2019-03-09 09:27:00	ga_ls7e_ard_3-1-0_092087_2019-03-08_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_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
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-04-17 09:31:27	ga_ls7e_ard_3-0-0_093086_2019-04-17_final
2019-04-19 09:19:01	ga_ls7e_ard_3-1-0_091086_2019-04-18_final
2019-04-19 09:19:25	ga_ls7e_ard_3-0-0_091087_2019-04-18_final
2019-04-22 09:49:48	ga_ls7e_ard_3-1-0_096086_2019-04-22_final
2019-04-28 09:12:30	ga_ls7e_ard_3-0-0_090086_2019-04-27_final
2019-05-07 09:05:58	ga_ls7e_ard_3-0-0_089086_2019-05-06_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-05-17 09:43:03	ga_ls7e_ard_3-0-0_095087_2019-05-17_final
2019-05-19 09:30:13	ga_ls7e_ard_3-0-0_093086_2019-05-19_final
2019-05-19 09:30:37	ga_ls7e_ard_3-0-0_093087_2019-05-19_final
2019-05-21 09:17:47	ga_ls7e_ard_3-1-0_091086_2019-05-20_final
2019-05-21 09:18:11	ga_ls7e_ard_3-0-0_091087_2019-05-20_final
2019-05-23 09:05:21	ga_ls7e_ard_3-0-0_089086_2019-05-22_final
2019-07-26 09:02:57	ga_ls7e_ard_3-0-0_089086_2019-07-25_final
2019-07-29 09:34:08	ga_ls7e_ard_3-0-0_094087_2019-07-29_final
2019-07-31 09:21:17	ga_ls7e_ard_3-0-0_092086_2019-07-30_final
2019-07-31 09:21:41	ga_ls7e_ard_3-0-0_092087_2019-07-30_final
2019-08-09 09:14:45	ga_ls7e_ard_3-1-0_091086_2019-08-08_final
2019-08-09 09:15:08	ga_ls7e_ard_3-0-0_091087_2019-08-08_final
2019-08-11 09:02:18	ga_ls7e_ard_3-0-0_089086_2019-08-10_final
2019-08-12 09:45:31	ga_ls7e_ard_3-1-0_096086_2019-08-12_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-28 09:00:14	ga_ls7e_ard_3-1-0_089086_2019-09-27_final
2019-10-01 09:31:00	ga_ls7e_ard_3-1-0_094086_2019-10-01_final
2019-10-01 09:31:24	ga_ls7e_ard_3-1-0_094087_2019-10-01_final
2019-10-03 09:18:34	ga_ls7e_ard_3-1-0_092086_2019-10-02_final
2019-10-03 09:18:58	ga_ls7e_ard_3-1-0_092087_2019-10-02_final
2019-10-19 09:18:18	ga_ls7e_ard_3-1-0_092087_2019-10-18_final
2019-10-21 09:05:27	ga_ls7e_ard_3-1-0_090086_2019-10-20_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
2020-01-16 09:07:25	ga_ls7e_ard_3-1-0_091086_2020-01-15_final
2020-01-21 09:25:42	ga_ls7e_ard_3-1-0_094086_2020-01-20_final
2020-01-23 09:13:15	ga_ls7e_ard_3-1-0_092086_2020-01-22_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