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
2011-05-01 09:08:08	ga_ls7e_ard_3-0-0_089085_2011-04-30_final
2011-05-02 09:50:59	ga_ls7e_ard_3-0-0_096084_2011-05-02_final
2011-05-02 09:51:23	ga_ls7e_ard_3-0-0_096085_2011-05-02_final
2011-05-02 11:29:52	ga_ls7e_ard_3-1-0_112084_2011-05-02_final
2011-05-04 09:39:02	ga_ls7e_ard_3-0-0_094085_2011-05-04_final
2011-05-04 11:17:31	ga_ls7e_ard_3-0-0_110084_2011-05-04_final
2011-05-11 11:23:40	ga_ls7e_ard_3-0-0_111084_2011-05-11_final
2011-05-15 09:20:26	ga_ls7e_ard_3-0-0_091085_2011-05-14_final
2011-06-12 09:45:11	ga_ls7e_ard_3-0-0_095085_2011-06-12_final
2011-06-12 11:23:40	ga_ls7e_ard_3-0-0_111084_2011-06-12_final
2011-06-14 09:32:49	ga_ls7e_ard_3-0-0_093085_2011-06-14_final
2013-08-25 10:05:31	ga_ls7e_ard_3-0-0_098085_2013-08-25_final
2013-08-26 09:09:54	ga_ls7e_ard_3-0-0_089085_2013-08-25_final
2013-08-27 09:53:11	ga_ls7e_ard_3-0-0_096085_2013-08-27_final
2013-09-18 09:15:58	ga_ls7e_ard_3-0-0_090084_2013-09-17_final
2013-09-18 09:16:22	ga_ls7e_ard_3-1-0_090085_2013-09-17_final
2013-09-19 09:59:38	ga_ls7e_ard_3-0-0_097085_2013-09-19_final
2013-09-21 09:47:17	ga_ls7e_ard_3-0-0_095085_2013-09-21_final
2013-09-21 11:25:46	ga_ls7e_ard_3-0-0_111084_2013-09-21_final
2013-10-27 09:22:56	ga_ls7e_ard_3-0-0_091085_2013-10-26_final
2013-10-28 10:05:48	ga_ls7e_ard_3-0-0_098084_2013-10-28_final
2013-10-28 10:06:12	ga_ls7e_ard_3-0-0_098085_2013-10-28_final
2013-11-03 09:28:45	ga_ls7e_ard_3-0-0_092084_2013-11-02_final
2013-11-03 09:29:09	ga_ls7e_ard_3-0-0_092085_2013-11-02_final
2013-11-05 09:16:25	ga_ls7e_ard_3-0-0_090084_2013-11-04_final
2013-11-05 09:16:49	ga_ls7e_ard_3-1-0_090085_2013-11-04_final
2013-11-06 10:00:05	ga_ls7e_ard_3-0-0_097085_2013-11-06_final
2013-11-08 09:47:21	ga_ls7e_ard_3-0-0_095084_2013-11-08_final
2013-11-22 10:00:09	ga_ls7e_ard_3-0-0_097085_2013-11-22_final
2013-11-24 09:47:49	ga_ls7e_ard_3-0-0_095085_2013-11-24_final
2013-11-26 09:35:05	ga_ls7e_ard_3-0-0_093084_2013-11-26_final
2013-11-26 09:35:29	ga_ls7e_ard_3-0-0_093085_2013-11-26_final
2013-11-27 10:18:22	ga_ls7e_ard_3-0-0_100084_2013-11-27_final
2013-12-07 09:17:02	ga_ls7e_ard_3-1-0_090085_2013-12-06_final
2013-12-08 09:59:54	ga_ls7e_ard_3-0-0_097084_2013-12-08_final
2013-12-08 10:00:18	ga_ls7e_ard_3-0-0_097085_2013-12-08_final
2013-12-10 11:26:26	ga_ls7e_ard_3-0-0_111084_2013-12-10_final
2014-01-04 09:41:51	ga_ls7e_ard_3-0-0_094085_2014-01-04_final
2014-01-06 09:29:29	ga_ls7e_ard_3-0-0_092085_2014-01-05_final
2014-01-13 09:35:45	ga_ls7e_ard_3-0-0_093085_2014-01-13_final
2014-01-14 10:18:38	ga_ls7e_ard_3-0-0_100084_2014-01-14_final
2014-01-15 09:23:02	ga_ls7e_ard_3-0-0_091084_2014-01-14_final
2014-01-15 09:23:26	ga_ls7e_ard_3-0-0_091085_2014-01-14_final
2014-01-22 09:29:22	ga_ls7e_ard_3-0-0_092084_2014-01-21_final
2014-01-22 09:29:46	ga_ls7e_ard_3-0-0_092085_2014-01-21_final
2014-01-30 10:18:56	ga_ls7e_ard_3-0-0_100084_2014-01-30_final
2014-01-31 09:23:44	ga_ls7e_ard_3-0-0_091085_2014-01-30_final
2014-01-31 11:02:13	ga_ls7e_ard_3-0-0_107084_2014-01-31_final
2014-02-01 10:06:36	ga_ls7e_ard_3-0-0_098084_2014-02-01_final
2014-02-01 10:07:00	ga_ls7e_ard_3-0-0_098085_2014-02-01_final
2014-02-02 09:11:23	ga_ls7e_ard_3-0-0_089085_2014-02-01_final
2014-03-06 09:10:54	ga_ls7e_ard_3-0-0_089084_2014-03-05_final
2014-03-06 09:11:18	ga_ls7e_ard_3-0-0_089085_2014-03-05_final
2014-03-07 09:54:34	ga_ls7e_ard_3-0-0_096085_2014-03-07_final
2014-03-07 11:33:03	ga_ls7e_ard_3-0-0_112084_2014-03-07_final
2014-03-14 10:00:48	ga_ls7e_ard_3-0-0_097085_2014-03-14_final
2014-03-16 09:48:04	ga_ls7e_ard_3-0-0_095084_2014-03-16_final
2014-03-23 09:54:41	ga_ls7e_ard_3-0-0_096085_2014-03-23_final
2017-03-12 09:28:38	ga_ls7e_ard_3-0-0_091084_2017-03-11_final
2017-03-12 09:29:01	ga_ls7e_ard_3-0-0_091085_2017-03-11_final
2017-03-12 11:07:31	ga_ls7e_ard_3-0-0_107084_2017-03-12_final
2017-03-13 10:11:54	ga_ls7e_ard_3-0-0_098084_2017-03-13_final
2017-03-13 10:12:18	ga_ls7e_ard_3-0-0_098085_2017-03-13_final
2017-03-29 10:12:22	ga_ls7e_ard_3-0-0_098085_2017-03-29_final
2017-03-30 09:16:45	ga_ls7e_ard_3-0-0_089085_2017-03-29_final
2017-03-31 11:38:30	ga_ls7e_ard_3-1-0_112084_2017-03-31_final
2017-04-02 09:47:39	ga_ls7e_ard_3-0-0_094085_2017-04-02_final
2017-04-20 09:35:02	ga_ls7e_ard_3-0-0_092084_2017-04-20_final
2017-04-20 09:35:26	ga_ls7e_ard_3-0-0_092085_2017-04-20_final
2017-04-22 09:23:05	ga_ls7e_ard_3-1-0_090085_2017-04-21_final
2017-06-12 09:53:48	ga_ls7e_ard_3-0-0_095084_2017-06-12_final
2017-06-12 09:54:12	ga_ls7e_ard_3-0-0_095085_2017-06-12_final
2017-06-14 09:41:27	ga_ls7e_ard_3-0-0_093084_2017-06-14_final
2017-06-14 09:41:51	ga_ls7e_ard_3-0-0_093085_2017-06-14_final
2017-06-28 09:54:14	ga_ls7e_ard_3-0-0_095085_2017-06-28_final
2017-06-28 11:32:43	ga_ls7e_ard_3-0-0_111084_2017-06-28_final
2017-06-30 09:41:29	ga_ls7e_ard_3-0-0_093084_2017-06-30_final
2017-06-30 09:41:53	ga_ls7e_ard_3-0-0_093085_2017-06-30_final
2017-06-30 11:20:22	ga_ls7e_ard_3-0-0_109084_2017-06-30_final
2017-07-01 10:24:45	ga_ls7e_ard_3-0-0_100084_2017-07-01_final
2017-07-02 09:29:31	ga_ls7e_ard_3-0-0_091085_2017-07-01_final
2017-07-02 11:08:01	ga_ls7e_ard_3-0-0_107084_2017-07-02_final
2017-07-04 09:17:10	ga_ls7e_ard_3-0-0_089085_2017-07-03_final
2017-07-20 09:17:10	ga_ls7e_ard_3-0-0_089085_2017-07-19_final
2017-07-21 10:00:02	ga_ls7e_ard_3-0-0_096084_2017-07-21_final
2017-07-21 10:00:26	ga_ls7e_ard_3-0-0_096085_2017-07-21_final
2017-07-23 09:47:40	ga_ls7e_ard_3-0-0_094084_2017-07-23_final
2017-07-23 09:48:04	ga_ls7e_ard_3-0-0_094085_2017-07-23_final
2017-08-04 10:12:46	ga_ls7e_ard_3-0-0_098085_2017-08-04_final
2017-08-05 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-08-04_final
2017-08-06 10:00:00	ga_ls7e_ard_3-0-0_096084_2017-08-06_final
2017-08-06 10:00:24	ga_ls7e_ard_3-0-0_096085_2017-08-06_final
2017-08-06 11:38:53	ga_ls7e_ard_3-0-0_112084_2017-08-06_final
2017-10-16 10:06:11	ga_ls7e_ard_3-0-0_097084_2017-10-16_final
2017-10-16 10:06:35	ga_ls7e_ard_3-0-0_097085_2017-10-16_final
2017-10-18 09:54:14	ga_ls7e_ard_3-0-0_095085_2017-10-18_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-15 09:10:18	ga_ls7e_ard_3-2-0_098085_2021-08-14_final
2021-08-16 08:14:12	ga_ls7e_ard_3-2-0_089084_2021-08-15_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_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