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
2006-01-25 09:13:38	ga_ls7e_ard_3-0-0_091077_2006-01-24_final
2006-01-25 09:14:02	ga_ls7e_ard_3-0-0_091078_2006-01-24_final
2006-01-25 09:14:26	ga_ls7e_ard_3-0-0_091079_2006-01-24_final
2006-01-25 09:14:50	ga_ls7e_ard_3-0-0_091080_2006-01-24_final
2006-01-25 09:15:14	ga_ls7e_ard_3-0-0_091081_2006-01-24_final
2006-01-25 09:15:38	ga_ls7e_ard_3-0-0_091082_2006-01-24_final
2006-01-27 09:04:29	ga_ls7e_ard_3-0-0_089085_2006-01-26_final
2006-01-27 09:04:53	ga_ls7e_ard_3-0-0_089086_2006-01-26_final
2006-01-27 09:06:04	ga_ls7e_ard_3-0-0_089089_2006-01-26_final
2006-01-27 09:06:28	ga_ls7e_ard_3-0-0_089090_2006-01-26_final
2006-07-20 09:13:25	ga_ls7e_ard_3-0-0_091077_2006-07-19_final
2006-07-20 09:13:49	ga_ls7e_ard_3-0-0_091078_2006-07-19_final
2006-07-20 09:14:13	ga_ls7e_ard_3-0-0_091079_2006-07-19_final
2006-07-20 09:14:37	ga_ls7e_ard_3-0-0_091080_2006-07-19_final
2006-07-20 09:15:01	ga_ls7e_ard_3-0-0_091081_2006-07-19_final
2006-07-20 09:15:25	ga_ls7e_ard_3-0-0_091082_2006-07-19_final
2006-07-22 09:04:14	ga_ls7e_ard_3-0-0_089085_2006-07-21_final
2006-07-22 09:04:38	ga_ls7e_ard_3-0-0_089086_2006-07-21_final
2006-07-22 09:05:50	ga_ls7e_ard_3-0-0_089089_2006-07-21_final
2006-07-22 09:06:14	ga_ls7e_ard_3-0-0_089090_2006-07-21_final
2006-08-23 09:04:10	ga_ls7e_ard_3-0-0_089085_2006-08-22_final
2006-08-23 09:04:34	ga_ls7e_ard_3-0-0_089086_2006-08-22_final
2006-08-23 09:05:45	ga_ls7e_ard_3-1-0_089089_2006-08-22_final
2006-08-23 09:06:09	ga_ls7e_ard_3-0-0_089090_2006-08-22_final
2006-11-23 09:22:04	ga_ls7e_ard_3-0-0_093067_2006-11-22_final
2006-11-25 09:13:42	ga_ls7e_ard_3-0-0_091077_2006-11-24_final
2006-11-25 09:14:06	ga_ls7e_ard_3-0-0_091078_2006-11-24_final
2006-11-25 09:14:30	ga_ls7e_ard_3-0-0_091079_2006-11-24_final
2006-11-25 09:14:54	ga_ls7e_ard_3-0-0_091080_2006-11-24_final
2006-11-25 09:15:18	ga_ls7e_ard_3-0-0_091081_2006-11-24_final
2006-11-25 09:15:42	ga_ls7e_ard_3-0-0_091082_2006-11-24_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
2017-03-30 09:16:45	ga_ls7e_ard_3-0-0_089085_2017-03-29_final
2017-03-30 09:17:09	ga_ls7e_ard_3-0-0_089086_2017-03-29_final
2017-05-22 09:31:34	ga_ls7e_ard_3-0-0_092075_2017-05-22_final
2017-05-22 09:31:58	ga_ls7e_ard_3-0-0_092076_2017-05-22_final
2017-05-22 09:32:22	ga_ls7e_ard_3-0-0_092077_2017-05-22_final
2017-05-22 09:32:46	ga_ls7e_ard_3-0-0_092078_2017-05-22_final
2017-07-23 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-23_final
2017-08-05 09:16:44	ga_ls7e_ard_3-0-0_089084_2017-08-04_final
2017-08-05 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-08-04_final
2017-08-05 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-08-04_final
2018-05-27 09:19:08	ga_ls7e_ard_3-0-0_090081_2018-05-26_final
2018-05-27 09:19:32	ga_ls7e_ard_3-0-0_090082_2018-05-26_final
2018-05-27 09:19:56	ga_ls7e_ard_3-0-0_090083_2018-05-26_final
2018-05-27 09:20:20	ga_ls7e_ard_3-0-0_090084_2018-05-26_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2018-05-27 09:21:08	ga_ls7e_ard_3-0-0_090086_2018-05-26_final
2018-06-17 09:34:31	ga_ls7e_ard_3-0-0_093074_2018-06-17_final
2018-06-19 09:23:19	ga_ls7e_ard_3-0-0_091077_2018-06-18_final
2018-06-19 09:23:43	ga_ls7e_ard_3-0-0_091078_2018-06-18_final
2018-06-19 09:24:07	ga_ls7e_ard_3-0-0_091079_2018-06-18_final
2018-06-19 09:24:31	ga_ls7e_ard_3-0-0_091080_2018-06-18_final
2018-06-19 09:24:55	ga_ls7e_ard_3-0-0_091081_2018-06-18_final
2018-06-19 09:25:18	ga_ls7e_ard_3-0-0_091082_2018-06-18_final
2018-06-19 09:25:42	ga_ls7e_ard_3-0-0_091083_2018-06-18_final
2018-08-20 09:33:19	ga_ls7e_ard_3-0-0_093074_2018-08-20_final
2018-08-22 09:22:07	ga_ls7e_ard_3-0-0_091077_2018-08-21_final
2018-08-22 09:22:31	ga_ls7e_ard_3-0-0_091078_2018-08-21_final
2018-08-22 09:22:55	ga_ls7e_ard_3-0-0_091079_2018-08-21_final
2018-08-22 09:23:19	ga_ls7e_ard_3-0-0_091080_2018-08-21_final
2018-08-22 09:23:42	ga_ls7e_ard_3-0-0_091081_2018-08-21_final
2018-08-22 09:24:06	ga_ls7e_ard_3-0-0_091082_2018-08-21_final
2018-08-24 09:12:54	ga_ls7e_ard_3-0-0_089085_2018-08-23_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_final
2018-08-27 09:36:34	ga_ls7e_ard_3-1-0_094067_2018-08-27_final
2019-02-16 09:08:19	ga_ls7e_ard_3-1-0_089085_2019-02-15_final
2019-02-16 09:08:43	ga_ls7e_ard_3-1-0_089086_2019-02-15_final
2019-02-19 09:31:57	ga_ls7e_ard_3-1-0_094067_2019-02-19_final
2019-02-21 09:22:43	ga_ls7e_ard_3-1-0_092075_2019-02-20_final
2019-02-21 09:23:07	ga_ls7e_ard_3-1-0_092076_2019-02-20_final
2019-02-21 09:23:31	ga_ls7e_ard_3-1-0_092077_2019-02-20_final
2019-02-21 09:23:55	ga_ls7e_ard_3-1-0_092078_2019-02-20_final
2019-03-25 09:21:41	ga_ls7e_ard_3-1-0_092075_2019-03-24_final
2019-03-25 09:22:05	ga_ls7e_ard_3-1-0_092076_2019-03-24_final
2019-03-25 09:22:29	ga_ls7e_ard_3-1-0_092077_2019-03-24_final
2019-03-25 09:22:53	ga_ls7e_ard_3-1-0_092078_2019-03-24_final
2019-03-27 09:11:39	ga_ls7e_ard_3-1-0_090081_2019-03-26_final
2019-03-27 09:12:03	ga_ls7e_ard_3-1-0_090082_2019-03-26_final
2019-03-27 09:12:27	ga_ls7e_ard_3-1-0_090083_2019-03-26_final
2019-03-27 09:12:51	ga_ls7e_ard_3-1-0_090084_2019-03-26_final
2019-03-27 09:13:15	ga_ls7e_ard_3-1-0_090085_2019-03-26_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-05-03 09:26:03	ga_ls7e_ard_3-0-0_093074_2019-05-02_final
2019-05-05 09:14:49	ga_ls7e_ard_3-0-0_091077_2019-05-04_final
2019-05-05 09:15:13	ga_ls7e_ard_3-0-0_091078_2019-05-04_final
2019-05-05 09:15:37	ga_ls7e_ard_3-0-0_091079_2019-05-04_final
2019-05-05 09:16:01	ga_ls7e_ard_3-0-0_091080_2019-05-04_final
2019-05-05 09:16:25	ga_ls7e_ard_3-0-0_091081_2019-05-04_final
2019-05-05 09:16:49	ga_ls7e_ard_3-0-0_091082_2019-05-04_final
2019-05-05 09:17:13	ga_ls7e_ard_3-0-0_091083_2019-05-04_final
2019-05-12 09:19:56	ga_ls7e_ard_3-0-0_092075_2019-05-11_final
2019-05-12 09:20:20	ga_ls7e_ard_3-0-0_092076_2019-05-11_final
2019-05-12 09:20:43	ga_ls7e_ard_3-0-0_092077_2019-05-11_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