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
2014-08-02 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-02_final
2014-08-18 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-18_final
2014-09-03 09:30:41	ga_ls7e_ard_3-0-0_092085_2014-09-03_final
2014-09-19 09:30:45	ga_ls7e_ard_3-0-0_092085_2014-09-19_final
2014-10-05 09:30:58	ga_ls7e_ard_3-0-0_092085_2014-10-05_final
2014-10-21 09:31:07	ga_ls7e_ard_3-0-0_092085_2014-10-21_final
2014-11-06 09:31:16	ga_ls7e_ard_3-0-0_092085_2014-11-06_final
2014-11-22 09:31:19	ga_ls7e_ard_3-0-0_092085_2014-11-22_final
2014-12-08 09:31:26	ga_ls7e_ard_3-0-0_092085_2014-12-08_final
2014-12-24 09:31:35	ga_ls7e_ard_3-0-0_092085_2014-12-24_final
2015-01-25 09:31:39	ga_ls7e_ard_3-0-0_092085_2015-01-25_final
2015-02-10 09:31:44	ga_ls7e_ard_3-0-0_092085_2015-02-10_final
2015-03-14 09:31:59	ga_ls7e_ard_3-0-0_092085_2015-03-14_final
2015-03-30 09:32:06	ga_ls7e_ard_3-0-0_092085_2015-03-30_final
2015-05-01 09:32:21	ga_ls7e_ard_3-0-0_092085_2015-05-01_final
2015-05-17 09:32:30	ga_ls7e_ard_3-0-0_092085_2015-05-17_final
2015-06-02 09:32:35	ga_ls7e_ard_3-0-0_092085_2015-06-02_final
2015-07-04 09:32:43	ga_ls7e_ard_3-0-0_092085_2015-07-04_final
2015-07-20 09:32:48	ga_ls7e_ard_3-0-0_092085_2015-07-20_final
2015-08-21 09:32:54	ga_ls7e_ard_3-0-0_092085_2015-08-21_final
2015-09-22 09:33:00	ga_ls7e_ard_3-0-0_092085_2015-09-22_final
2015-10-08 09:33:06	ga_ls7e_ard_3-0-0_092085_2015-10-08_final
2015-10-24 09:33:24	ga_ls7e_ard_3-0-0_092085_2015-10-24_final
2015-11-09 09:33:39	ga_ls7e_ard_3-0-0_092085_2015-11-09_final
2015-12-27 09:34:22	ga_ls7e_ard_3-0-0_092085_2015-12-27_final
2016-01-12 09:34:38	ga_ls7e_ard_3-0-0_092085_2016-01-12_final
2016-01-28 09:34:49	ga_ls7e_ard_3-0-0_092085_2016-01-28_final
2016-02-13 09:34:55	ga_ls7e_ard_3-0-0_092085_2016-02-13_final
2016-02-29 09:34:59	ga_ls7e_ard_3-0-0_092085_2016-02-29_final
2016-04-01 09:35:13	ga_ls7e_ard_3-0-0_092085_2016-04-01_final
2016-04-17 09:35:20	ga_ls7e_ard_3-0-0_092085_2016-04-17_final
2016-05-03 09:35:26	ga_ls7e_ard_3-0-0_092085_2016-05-03_final
2016-05-19 09:35:28	ga_ls7e_ard_3-0-0_092085_2016-05-19_final
2016-06-20 09:35:37	ga_ls7e_ard_3-0-0_092085_2016-06-20_final
2016-07-06 09:35:37	ga_ls7e_ard_3-0-0_092085_2016-07-06_final
2016-08-07 09:35:40	ga_ls7e_ard_3-0-0_092085_2016-08-07_final
2016-08-23 09:35:42	ga_ls7e_ard_3-0-0_092085_2016-08-23_final
2016-09-08 09:35:45	ga_ls7e_ard_3-0-0_092085_2016-09-08_final
2016-09-24 09:35:47	ga_ls7e_ard_3-0-0_092085_2016-09-24_final
2016-10-26 09:35:45	ga_ls7e_ard_3-0-0_092085_2016-10-26_final
2016-11-11 09:35:38	ga_ls7e_ard_3-0-0_092085_2016-11-11_final
2016-11-27 09:35:34	ga_ls7e_ard_3-0-0_092085_2016-11-27_final
2016-12-13 09:35:30	ga_ls7e_ard_3-0-0_092085_2016-12-13_final
2017-01-14 09:35:13	ga_ls7e_ard_3-0-0_092085_2017-01-14_final
2017-01-30 09:35:04	ga_ls7e_ard_3-0-0_092085_2017-01-30_final
2017-02-15 09:35:00	ga_ls7e_ard_3-0-0_092085_2017-02-15_final
2017-03-03 09:35:09	ga_ls7e_ard_3-0-0_092085_2017-03-03_final
2017-03-19 09:35:15	ga_ls7e_ard_3-0-0_092085_2017-03-19_final
2017-04-04 09:35:18	ga_ls7e_ard_3-0-0_092085_2017-04-04_final
2017-04-20 09:35:26	ga_ls7e_ard_3-0-0_092085_2017-04-20_final
2017-05-06 09:35:31	ga_ls7e_ard_3-0-0_092085_2017-05-06_final
2017-05-22 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-05-22_final
2017-06-07 09:35:38	ga_ls7e_ard_3-0-0_092085_2017-06-07_final
2017-06-23 09:35:41	ga_ls7e_ard_3-0-0_092085_2017-06-23_final
2017-07-25 09:35:42	ga_ls7e_ard_3-0-0_092085_2017-07-25_final
2017-08-10 09:35:40	ga_ls7e_ard_3-0-0_092085_2017-08-10_final
2017-08-26 09:35:40	ga_ls7e_ard_3-0-0_092085_2017-08-26_final
2017-09-11 09:35:39	ga_ls7e_ard_3-0-0_092085_2017-09-11_final
2017-09-27 09:35:38	ga_ls7e_ard_3-0-0_092085_2017-09-27_final
2017-10-29 09:35:41	ga_ls7e_ard_3-0-0_092085_2017-10-29_final
2017-11-14 09:35:39	ga_ls7e_ard_3-0-0_092085_2017-11-14_final
2017-11-30 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-11-30_final
2017-12-16 09:35:24	ga_ls7e_ard_3-0-0_092085_2017-12-16_final
2018-01-17 09:34:59	ga_ls7e_ard_3-0-0_092085_2018-01-17_final
2018-02-02 09:34:44	ga_ls7e_ard_3-0-0_092085_2018-02-02_final
2018-02-18 09:34:32	ga_ls7e_ard_3-0-0_092085_2018-02-18_final
2018-03-06 09:34:22	ga_ls7e_ard_3-0-0_092085_2018-03-06_final
2018-03-22 09:34:10	ga_ls7e_ard_3-0-0_092085_2018-03-22_final
2018-04-07 09:33:56	ga_ls7e_ard_3-0-0_092085_2018-04-07_final
2018-04-23 09:33:40	ga_ls7e_ard_3-0-0_092085_2018-04-23_final
2018-05-09 09:33:21	ga_ls7e_ard_3-0-0_092085_2018-05-09_final
2018-05-25 09:33:07	ga_ls7e_ard_3-0-0_092085_2018-05-25_final
2018-06-10 09:32:51	ga_ls7e_ard_3-0-0_092085_2018-06-10_final
2018-06-26 09:32:33	ga_ls7e_ard_3-0-0_092085_2018-06-26_final
2018-07-12 09:32:14	ga_ls7e_ard_3-0-0_092085_2018-07-12_final
2018-07-28 09:31:57	ga_ls7e_ard_3-0-0_092085_2018-07-28_final
2018-08-29 09:31:21	ga_ls7e_ard_3-0-0_092085_2018-08-29_final
2018-09-14 09:31:00	ga_ls7e_ard_3-0-0_092085_2018-09-14_final
2018-09-30 09:30:37	ga_ls7e_ard_3-0-0_092085_2018-09-30_final
2018-11-01 09:29:53	ga_ls7e_ard_3-1-0_092085_2018-10-31_final
2018-11-17 09:29:31	ga_ls7e_ard_3-0-0_092085_2018-11-16_final
2019-01-04 09:28:11	ga_ls7e_ard_3-0-0_092085_2019-01-03_final
2019-01-20 09:27:41	ga_ls7e_ard_3-0-0_092085_2019-01-19_final
2019-02-05 09:27:11	ga_ls7e_ard_3-0-0_092085_2019-02-04_final
2019-02-21 09:26:42	ga_ls7e_ard_3-1-0_092085_2019-02-20_final
2019-03-09 09:26:12	ga_ls7e_ard_3-1-0_092085_2019-03-08_final
2019-04-10 09:25:07	ga_ls7e_ard_3-0-0_092085_2019-04-09_final
2019-04-26 09:24:32	ga_ls7e_ard_3-0-0_092085_2019-04-25_final
2019-05-12 09:23:55	ga_ls7e_ard_3-0-0_092085_2019-05-11_final
2019-06-13 09:22:45	ga_ls7e_ard_3-0-0_092085_2019-06-12_final
2019-09-01 09:19:33	ga_ls7e_ard_3-1-0_092085_2019-08-31_final
2019-10-03 09:18:10	ga_ls7e_ard_3-1-0_092085_2019-10-02_final
2019-12-22 09:14:28	ga_ls7e_ard_3-1-0_092085_2019-12-21_final
2020-03-11 09:10:21	ga_ls7e_ard_3-1-0_092085_2020-03-10_final
2020-04-12 09:08:33	ga_ls7e_ard_3-1-0_092085_2020-04-11_final
2020-04-28 09:07:36	ga_ls7e_ard_3-1-0_092085_2020-04-27_final
2020-07-17 09:02:49	ga_ls7e_ard_3-1-0_092085_2020-07-16_final
2020-08-18 09:00:48	ga_ls7e_ard_3-1-0_092085_2020-08-17_final
2020-09-03 08:59:46	ga_ls7e_ard_3-1-0_092085_2020-09-02_final
2020-10-21 08:56:39	ga_ls7e_ard_3-1-0_092085_2020-10-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years