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
2006-06-18 09:13:40	ga_ls7e_ard_3-0-0_091077_2006-06-17_final
2006-06-18 09:14:04	ga_ls7e_ard_3-0-0_091078_2006-06-17_final
2006-06-18 09:14:27	ga_ls7e_ard_3-0-0_091079_2006-06-17_final
2006-06-18 09:14:51	ga_ls7e_ard_3-0-0_091080_2006-06-17_final
2006-06-18 09:15:15	ga_ls7e_ard_3-0-0_091081_2006-06-17_final
2006-06-18 09:15:39	ga_ls7e_ard_3-0-0_091082_2006-06-17_final
2006-06-20 09:04:29	ga_ls7e_ard_3-0-0_089085_2006-06-19_final
2006-06-20 09:04:53	ga_ls7e_ard_3-0-0_089086_2006-06-19_final
2006-06-20 09:06:05	ga_ls7e_ard_3-0-0_089089_2006-06-19_final
2006-06-20 09:06:29	ga_ls7e_ard_3-0-0_089090_2006-06-19_final
2006-08-07 09:04:12	ga_ls7e_ard_3-0-0_089085_2006-08-06_final
2006-08-07 09:04:36	ga_ls7e_ard_3-0-0_089086_2006-08-06_final
2006-12-09 09:22:11	ga_ls7e_ard_3-0-0_093067_2006-12-08_final
2007-01-14 09:04:43	ga_ls7e_ard_3-0-0_089085_2007-01-13_final
2007-01-14 09:05:07	ga_ls7e_ard_3-0-0_089086_2007-01-13_final
2007-01-14 09:06:19	ga_ls7e_ard_3-0-0_089089_2007-01-13_final
2007-01-14 09:06:43	ga_ls7e_ard_3-0-0_089090_2007-01-13_final
2007-01-19 09:19:17	ga_ls7e_ard_3-0-0_092075_2007-01-18_final
2007-01-19 09:20:05	ga_ls7e_ard_3-0-0_092077_2007-01-18_final
2007-01-19 09:20:29	ga_ls7e_ard_3-0-0_092078_2007-01-18_final
2007-02-04 09:19:49	ga_ls7e_ard_3-0-0_092076_2007-02-03_final
2007-02-04 09:20:13	ga_ls7e_ard_3-0-0_092077_2007-02-03_final
2007-02-04 09:20:37	ga_ls7e_ard_3-0-0_092078_2007-02-03_final
2007-02-06 09:09:52	ga_ls7e_ard_3-0-0_090082_2007-02-05_final
2007-02-06 09:10:16	ga_ls7e_ard_3-0-0_090083_2007-02-05_final
2007-02-06 09:10:40	ga_ls7e_ard_3-0-0_090084_2007-02-05_final
2007-02-06 09:11:04	ga_ls7e_ard_3-1-0_090085_2007-02-05_final
2007-02-06 09:11:28	ga_ls7e_ard_3-0-0_090086_2007-02-05_final
2014-02-09 09:15:57	ga_ls7e_ard_3-0-0_090081_2014-02-08_final
2014-02-09 09:16:21	ga_ls7e_ard_3-0-0_090082_2014-02-08_final
2014-02-09 09:16:45	ga_ls7e_ard_3-0-0_090083_2014-02-08_final
2014-02-09 09:17:09	ga_ls7e_ard_3-0-0_090084_2014-02-08_final
2014-02-09 09:17:33	ga_ls7e_ard_3-1-0_090085_2014-02-08_final
2014-02-09 09:17:57	ga_ls7e_ard_3-0-0_090086_2014-02-08_final
2017-12-27 09:16:21	ga_ls7e_ard_3-0-0_089084_2017-12-26_final
2017-12-27 09:16:44	ga_ls7e_ard_3-0-0_089085_2017-12-26_final
2017-12-27 09:17:08	ga_ls7e_ard_3-0-0_089086_2017-12-26_final
2017-12-30 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-12-30_final
2018-01-03 09:21:14	ga_ls7e_ard_3-0-0_090081_2018-01-02_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-01-03 09:22:02	ga_ls7e_ard_3-0-0_090083_2018-01-02_final
2018-01-03 09:22:26	ga_ls7e_ard_3-0-0_090084_2018-01-02_final
2018-01-03 09:22:50	ga_ls7e_ard_3-0-0_090085_2018-01-02_final
2018-01-03 09:23:14	ga_ls7e_ard_3-0-0_090086_2018-01-02_final
2018-01-24 09:36:40	ga_ls7e_ard_3-0-0_093074_2018-01-24_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2018-06-10 09:28:52	ga_ls7e_ard_3-0-0_092075_2018-06-09_final
2018-06-10 09:29:16	ga_ls7e_ard_3-0-0_092076_2018-06-09_final
2018-06-10 09:29:40	ga_ls7e_ard_3-0-0_092077_2018-06-09_final
2018-06-10 09:30:03	ga_ls7e_ard_3-1-0_092078_2018-06-10_final
2018-07-21 09:22:42	ga_ls7e_ard_3-0-0_091077_2018-07-20_final
2018-07-21 09:23:06	ga_ls7e_ard_3-0-0_091078_2018-07-20_final
2018-07-21 09:23:30	ga_ls7e_ard_3-0-0_091079_2018-07-20_final
2018-07-21 09:23:54	ga_ls7e_ard_3-0-0_091080_2018-07-20_final
2018-07-21 09:24:18	ga_ls7e_ard_3-0-0_091081_2018-07-20_final
2018-07-21 09:24:42	ga_ls7e_ard_3-0-0_091082_2018-07-20_final
2018-07-21 09:25:06	ga_ls7e_ard_3-0-0_091083_2018-07-20_final
2018-07-23 09:13:30	ga_ls7e_ard_3-0-0_089085_2018-07-22_final
2018-07-23 09:13:54	ga_ls7e_ard_3-0-0_089086_2018-07-22_final
2018-07-26 09:37:10	ga_ls7e_ard_3-1-0_094067_2018-07-26_final
2019-06-15 09:08:43	ga_ls7e_ard_3-0-0_090081_2019-06-14_final
2019-06-15 09:09:07	ga_ls7e_ard_3-0-0_090082_2019-06-14_final
2019-06-15 09:09:31	ga_ls7e_ard_3-0-0_090083_2019-06-14_final
2019-06-15 09:09:55	ga_ls7e_ard_3-0-0_090084_2019-06-14_final
2019-06-15 09:10:19	ga_ls7e_ard_3-0-0_090085_2019-06-14_final
2019-06-15 09:10:43	ga_ls7e_ard_3-0-0_090086_2019-06-14_final
2019-07-08 09:12:50	ga_ls7e_ard_3-0-0_091078_2019-07-07_final
2019-07-10 09:03:11	ga_ls7e_ard_3-0-0_089085_2019-07-09_final
2019-07-10 09:03:35	ga_ls7e_ard_3-0-0_089086_2019-07-09_final
2019-08-23 09:21:44	ga_ls7e_ard_3-0-0_093074_2019-08-22_final
2019-08-25 09:10:29	ga_ls7e_ard_3-1-0_091077_2019-08-24_final
2019-08-25 09:10:53	ga_ls7e_ard_3-1-0_091078_2019-08-24_final
2019-08-25 09:11:17	ga_ls7e_ard_3-1-0_091079_2019-08-24_final
2019-08-25 09:11:41	ga_ls7e_ard_3-1-0_091080_2019-08-24_final
2019-08-25 09:12:04	ga_ls7e_ard_3-1-0_091081_2019-08-24_final
2019-08-25 09:12:28	ga_ls7e_ard_3-1-0_091082_2019-08-24_final
2019-08-25 09:12:52	ga_ls7e_ard_3-1-0_091083_2019-08-24_final
2019-09-12 09:00:32	ga_ls7e_ard_3-1-0_089085_2019-09-11_final
2019-09-12 09:00:56	ga_ls7e_ard_3-1-0_089086_2019-09-11_final
2019-10-05 09:04:08	ga_ls7e_ard_3-1-0_090081_2019-10-04_final
2019-10-05 09:05:43	ga_ls7e_ard_3-1-0_090085_2019-10-04_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-06 09:03:33	ga_ls7e_ard_3-1-0_090083_2019-11-05_final
2019-11-06 09:03:57	ga_ls7e_ard_3-1-0_090084_2019-11-05_final
2019-11-06 09:04:21	ga_ls7e_ard_3-1-0_090085_2019-11-05_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2019-12-04 09:20:33	ga_ls7e_ard_3-1-0_094067_2019-12-03_final
2019-12-06 09:11:17	ga_ls7e_ard_3-1-0_092075_2019-12-05_final
2019-12-06 09:11:41	ga_ls7e_ard_3-1-0_092076_2019-12-05_final
2019-12-06 09:12:05	ga_ls7e_ard_3-1-0_092077_2019-12-05_final
2019-12-06 09:12:29	ga_ls7e_ard_3-1-0_092078_2019-12-05_final
2020-01-07 09:09:38	ga_ls7e_ard_3-1-0_092075_2020-01-06_final
2020-01-07 09:10:50	ga_ls7e_ard_3-1-0_092078_2020-01-06_final
2020-01-09 08:59:35	ga_ls7e_ard_3-1-0_090081_2020-01-08_final
2020-01-09 08:59:59	ga_ls7e_ard_3-1-0_090082_2020-01-08_final
2020-01-09 09:00:22	ga_ls7e_ard_3-1-0_090083_2020-01-08_final
2020-01-09 09:00:46	ga_ls7e_ard_3-1-0_090084_2020-01-08_final
2020-01-09 09:01:10	ga_ls7e_ard_3-1-0_090085_2020-01-08_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