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
2011-12-27 09:10:04	ga_ls7e_ard_3-0-0_089089_2011-12-26_final
2011-12-27 09:10:28	ga_ls7e_ard_3-0-0_089090_2011-12-26_final
2011-12-30 09:32:13	ga_ls7e_ard_3-1-0_094067_2011-12-30_final
2012-01-03 09:13:30	ga_ls7e_ard_3-0-0_090082_2012-01-02_final
2012-01-03 09:13:54	ga_ls7e_ard_3-0-0_090083_2012-01-02_final
2012-01-03 09:14:18	ga_ls7e_ard_3-0-0_090084_2012-01-02_final
2012-01-03 09:14:42	ga_ls7e_ard_3-1-0_090085_2012-01-02_final
2012-01-03 09:15:06	ga_ls7e_ard_3-0-0_090086_2012-01-02_final
2012-01-26 09:19:16	ga_ls7e_ard_3-0-0_091081_2012-01-25_final
2012-01-28 09:08:32	ga_ls7e_ard_3-0-0_089085_2012-01-27_final
2012-01-28 09:08:55	ga_ls7e_ard_3-0-0_089086_2012-01-27_final
2012-01-28 09:10:07	ga_ls7e_ard_3-1-0_089089_2012-01-27_final
2012-01-28 09:10:31	ga_ls7e_ard_3-0-0_089090_2012-01-27_final
2012-02-02 09:23:07	ga_ls7e_ard_3-0-0_092075_2012-02-01_final
2012-02-02 09:23:31	ga_ls7e_ard_3-0-0_092076_2012-02-01_final
2012-02-04 09:13:34	ga_ls7e_ard_3-1-0_090082_2012-02-03_final
2012-02-04 09:13:58	ga_ls7e_ard_3-0-0_090083_2012-02-03_final
2012-02-04 09:14:22	ga_ls7e_ard_3-0-0_090084_2012-02-03_final
2012-03-19 09:32:21	ga_ls7e_ard_3-1-0_094067_2012-03-19_final
2012-03-23 09:13:37	ga_ls7e_ard_3-0-0_090082_2012-03-22_final
2012-03-23 09:14:01	ga_ls7e_ard_3-0-0_090083_2012-03-22_final
2012-03-23 09:14:25	ga_ls7e_ard_3-0-0_090084_2012-03-22_final
2012-03-23 09:14:49	ga_ls7e_ard_3-1-0_090085_2012-03-22_final
2012-03-23 09:15:13	ga_ls7e_ard_3-0-0_090086_2012-03-22_final
2012-04-20 09:32:22	ga_ls7e_ard_3-1-0_094067_2012-04-20_final
2012-04-22 09:23:16	ga_ls7e_ard_3-0-0_092075_2012-04-21_final
2012-04-22 09:23:40	ga_ls7e_ard_3-0-0_092076_2012-04-21_final
2012-04-22 09:24:03	ga_ls7e_ard_3-0-0_092077_2012-04-21_final
2012-04-22 09:24:27	ga_ls7e_ard_3-0-0_092078_2012-04-21_final
2012-04-22 09:24:51	ga_ls7e_ard_3-0-0_092079_2012-04-21_final
2012-04-24 09:14:09	ga_ls7e_ard_3-0-0_090083_2012-04-23_final
2012-04-24 09:14:33	ga_ls7e_ard_3-0-0_090084_2012-04-23_final
2012-04-24 09:14:57	ga_ls7e_ard_3-1-0_090085_2012-04-23_final
2015-08-16 09:15:57	ga_ls7e_ard_3-0-0_089089_2015-08-15_final
2015-08-19 09:38:05	ga_ls7e_ard_3-1-0_094067_2015-08-19_final
2015-09-20 09:38:11	ga_ls7e_ard_3-1-0_094067_2015-09-20_final
2015-09-29 09:34:49	ga_ls7e_ard_3-0-0_093074_2015-09-29_final
2015-10-10 09:19:35	ga_ls7e_ard_3-0-0_090082_2015-10-09_final
2015-10-10 09:19:59	ga_ls7e_ard_3-0-0_090083_2015-10-09_final
2015-10-10 09:20:23	ga_ls7e_ard_3-0-0_090084_2015-10-09_final
2015-10-10 09:20:47	ga_ls7e_ard_3-1-0_090085_2015-10-09_final
2015-10-10 09:21:11	ga_ls7e_ard_3-0-0_090086_2015-10-09_final
2015-11-23 09:39:03	ga_ls7e_ard_3-1-0_094067_2015-11-23_final
2015-11-25 09:29:55	ga_ls7e_ard_3-1-0_092075_2015-11-24_final
2015-11-25 09:30:18	ga_ls7e_ard_3-0-0_092076_2015-11-25_final
2015-11-25 09:30:42	ga_ls7e_ard_3-0-0_092077_2015-11-25_final
2015-11-25 09:31:06	ga_ls7e_ard_3-0-0_092078_2015-11-25_final
2015-11-25 09:31:30	ga_ls7e_ard_3-0-0_092079_2015-11-25_final
2015-11-27 09:20:22	ga_ls7e_ard_3-0-0_090082_2015-11-26_final
2015-11-27 09:20:46	ga_ls7e_ard_3-0-0_090083_2015-11-26_final
2015-11-27 09:21:10	ga_ls7e_ard_3-0-0_090084_2015-11-26_final
2015-11-27 09:21:34	ga_ls7e_ard_3-1-0_090085_2015-11-26_final
2015-11-27 09:21:58	ga_ls7e_ard_3-0-0_090086_2015-11-26_final
2015-12-11 09:30:10	ga_ls7e_ard_3-1-0_092075_2015-12-11_final
2015-12-11 09:30:34	ga_ls7e_ard_3-0-0_092076_2015-12-11_final
2015-12-11 09:30:58	ga_ls7e_ard_3-0-0_092077_2015-12-11_final
2015-12-11 09:31:22	ga_ls7e_ard_3-0-0_092078_2015-12-11_final
2015-12-11 09:31:46	ga_ls7e_ard_3-0-0_092079_2015-12-11_final
2015-12-13 09:20:38	ga_ls7e_ard_3-0-0_090082_2015-12-12_final
2015-12-13 09:21:26	ga_ls7e_ard_3-0-0_090084_2015-12-12_final
2015-12-13 09:21:50	ga_ls7e_ard_3-1-0_090085_2015-12-12_final
2015-12-13 09:22:14	ga_ls7e_ard_3-0-0_090086_2015-12-12_final
2016-01-05 09:25:09	ga_ls7e_ard_3-0-0_091077_2016-01-04_final
2016-01-10 09:39:47	ga_ls7e_ard_3-1-0_094067_2016-01-10_final
2016-01-12 09:30:39	ga_ls7e_ard_3-0-0_092075_2016-01-12_final
2016-01-12 09:31:03	ga_ls7e_ard_3-0-0_092076_2016-01-12_final
2016-01-12 09:31:27	ga_ls7e_ard_3-0-0_092077_2016-01-12_final
2016-01-12 09:31:50	ga_ls7e_ard_3-0-0_092078_2016-01-12_final
2016-01-12 09:32:14	ga_ls7e_ard_3-0-0_092079_2016-01-12_final
2016-02-13 09:30:56	ga_ls7e_ard_3-0-0_092075_2016-02-13_final
2016-02-13 09:31:20	ga_ls7e_ard_3-0-0_092076_2016-02-13_final
2016-02-13 09:31:44	ga_ls7e_ard_3-0-0_092077_2016-02-13_final
2016-02-13 09:32:08	ga_ls7e_ard_3-0-0_092078_2016-02-13_final
2016-02-13 09:32:31	ga_ls7e_ard_3-0-0_092079_2016-02-13_final
2016-02-15 09:21:22	ga_ls7e_ard_3-1-0_090082_2016-02-14_final
2016-02-15 09:21:46	ga_ls7e_ard_3-0-0_090083_2016-02-14_final
2016-02-15 09:22:10	ga_ls7e_ard_3-0-0_090084_2016-02-14_final
2016-02-15 09:22:34	ga_ls7e_ard_3-1-0_090085_2016-02-14_final
2016-02-15 09:22:58	ga_ls7e_ard_3-0-0_090086_2016-02-14_final
2016-03-23 09:36:59	ga_ls7e_ard_3-0-0_093074_2016-03-23_final
2016-04-17 09:31:44	ga_ls7e_ard_3-0-0_092076_2016-04-17_final
2016-04-17 09:32:08	ga_ls7e_ard_3-0-0_092077_2016-04-17_final
2016-04-17 09:32:32	ga_ls7e_ard_3-0-0_092078_2016-04-17_final
2016-04-17 09:32:56	ga_ls7e_ard_3-0-0_092079_2016-04-17_final
2016-04-19 09:21:47	ga_ls7e_ard_3-0-0_090082_2016-04-18_final
2016-04-19 09:22:35	ga_ls7e_ard_3-0-0_090084_2016-04-18_final
2016-04-19 09:22:59	ga_ls7e_ard_3-1-0_090085_2016-04-18_final
2016-04-19 09:23:23	ga_ls7e_ard_3-0-0_090086_2016-04-18_final
2018-03-13 09:36:04	ga_ls7e_ard_3-0-0_093074_2018-03-13_final
2018-03-13 09:36:28	ga_ls7e_ard_3-0-0_093075_2018-03-13_final
2018-03-15 09:25:17	ga_ls7e_ard_3-0-0_091078_2018-03-14_final
2018-03-15 09:25:41	ga_ls7e_ard_3-0-0_091079_2018-03-14_final
2018-03-15 09:26:05	ga_ls7e_ard_3-0-0_091080_2018-03-14_final
2018-03-15 09:26:29	ga_ls7e_ard_3-0-0_091081_2018-03-14_final
2018-03-15 09:26:53	ga_ls7e_ard_3-0-0_091082_2018-03-14_final
2018-03-15 09:27:17	ga_ls7e_ard_3-0-0_091083_2018-03-14_final
2018-05-04 09:14:55	ga_ls7e_ard_3-0-0_089085_2018-05-03_final
2018-05-04 09:15:19	ga_ls7e_ard_3-0-0_089086_2018-05-03_final
2018-05-07 09:38:34	ga_ls7e_ard_3-1-0_094067_2018-05-07_final
2018-07-19 09:33:54	ga_ls7e_ard_3-0-0_093074_2018-07-19_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