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
2006-06-25 09:24:11	ga_ls7e_ard_3-0-0_092088_2006-06-24_final
2006-06-25 09:24:35	ga_ls7e_ard_3-0-0_092089_2006-06-24_final
2006-06-27 09:11:49	ga_ls7e_ard_3-0-0_090088_2006-06-26_final
2006-06-27 09:12:13	ga_ls7e_ard_3-0-0_090089_2006-06-26_final
2006-07-04 09:18:21	ga_ls7e_ard_3-0-0_091089_2006-07-03_final
2006-07-06 09:05:58	ga_ls7e_ard_3-1-0_089089_2006-07-05_final
2006-07-20 09:17:49	ga_ls7e_ard_3-0-0_091088_2006-07-19_final
2006-07-20 09:18:13	ga_ls7e_ard_3-0-0_091089_2006-07-19_final
2006-07-29 09:11:59	ga_ls7e_ard_3-0-0_090089_2006-07-28_final
2006-08-05 09:17:45	ga_ls7e_ard_3-0-0_091088_2006-08-04_final
2006-08-05 09:18:09	ga_ls7e_ard_3-0-0_091089_2006-08-04_final
2006-08-12 09:23:56	ga_ls7e_ard_3-0-0_092088_2006-08-11_final
2006-08-12 09:24:19	ga_ls7e_ard_3-0-0_092089_2006-08-11_final
2006-08-14 09:11:34	ga_ls7e_ard_3-0-0_090088_2006-08-13_final
2006-08-14 09:11:58	ga_ls7e_ard_3-0-0_090089_2006-08-13_final
2006-08-19 09:30:05	ga_ls7e_ard_3-1-0_093088_2006-08-19_final
2006-08-23 09:05:45	ga_ls7e_ard_3-1-0_089089_2006-08-22_final
2006-09-08 09:05:41	ga_ls7e_ard_3-1-0_089089_2006-09-07_final
2006-09-13 09:23:48	ga_ls7e_ard_3-0-0_092088_2006-09-12_final
2006-09-13 09:24:12	ga_ls7e_ard_3-0-0_092089_2006-09-12_final
2006-09-15 09:11:26	ga_ls7e_ard_3-1-0_090088_2006-09-14_final
2006-09-15 09:11:50	ga_ls7e_ard_3-0-0_090089_2006-09-14_final
2006-10-15 09:23:43	ga_ls7e_ard_3-0-0_092088_2006-10-14_final
2006-10-15 09:24:07	ga_ls7e_ard_3-0-0_092089_2006-10-14_final
2006-10-17 09:11:24	ga_ls7e_ard_3-0-0_090088_2006-10-16_final
2006-10-17 09:11:48	ga_ls7e_ard_3-0-0_090089_2006-10-16_final
2006-10-26 09:05:46	ga_ls7e_ard_3-1-0_089089_2006-10-25_final
2006-10-31 09:23:59	ga_ls7e_ard_3-0-0_092088_2006-10-30_final
2006-10-31 09:24:23	ga_ls7e_ard_3-0-0_092089_2006-10-30_final
2006-11-16 09:24:11	ga_ls7e_ard_3-0-0_092088_2006-11-15_final
2006-11-16 09:24:35	ga_ls7e_ard_3-0-0_092089_2006-11-15_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2006-12-02 09:24:20	ga_ls7e_ard_3-0-0_092088_2006-12-01_final
2006-12-02 09:24:44	ga_ls7e_ard_3-0-0_092089_2006-12-01_final
2006-12-04 09:12:00	ga_ls7e_ard_3-0-0_090088_2006-12-03_final
2006-12-04 09:12:24	ga_ls7e_ard_3-0-0_090089_2006-12-03_final
2006-12-11 09:18:13	ga_ls7e_ard_3-0-0_091088_2006-12-10_final
2006-12-11 09:18:37	ga_ls7e_ard_3-0-0_091089_2006-12-10_final
2006-12-13 09:06:16	ga_ls7e_ard_3-0-0_089089_2006-12-12_final
2006-12-20 09:12:05	ga_ls7e_ard_3-0-0_090088_2006-12-19_final
2006-12-20 09:12:29	ga_ls7e_ard_3-0-0_090089_2006-12-19_final
2007-01-03 09:24:52	ga_ls7e_ard_3-1-0_092089_2007-01-02_final
2007-01-05 09:12:06	ga_ls7e_ard_3-0-0_090088_2007-01-04_final
2007-01-05 09:12:30	ga_ls7e_ard_3-0-0_090089_2007-01-04_final
2007-02-04 09:24:36	ga_ls7e_ard_3-0-0_092088_2007-02-03_final
2007-02-06 09:12:16	ga_ls7e_ard_3-0-0_090088_2007-02-05_final
2007-02-06 09:12:40	ga_ls7e_ard_3-0-0_090089_2007-02-05_final
2012-05-19 09:10:48	ga_ls7e_ard_3-1-0_089089_2012-05-18_final
2012-07-13 09:17:03	ga_ls7e_ard_3-0-0_090089_2012-07-12_final
2012-07-29 09:16:48	ga_ls7e_ard_3-0-0_090088_2012-07-28_final
2012-07-29 09:17:12	ga_ls7e_ard_3-0-0_090089_2012-07-28_final
2012-08-14 09:17:25	ga_ls7e_ard_3-0-0_090089_2012-08-13_final
2012-09-22 09:23:58	ga_ls7e_ard_3-0-0_091089_2012-09-21_final
2012-09-24 09:11:38	ga_ls7e_ard_3-0-0_089089_2012-09-23_final
2012-10-17 09:17:38	ga_ls7e_ard_3-0-0_090088_2012-10-16_final
2012-10-17 09:18:02	ga_ls7e_ard_3-0-0_090089_2012-10-16_final
2012-11-02 09:17:44	ga_ls7e_ard_3-0-0_090088_2012-11-01_final
2012-11-02 09:18:08	ga_ls7e_ard_3-0-0_090089_2012-11-01_final
2012-11-07 09:36:16	ga_ls7e_ard_3-0-0_093088_2012-11-07_final
2012-11-09 09:24:20	ga_ls7e_ard_3-0-0_091089_2012-11-08_final
2012-11-11 09:12:00	ga_ls7e_ard_3-1-0_089089_2012-11-10_final
2012-12-04 09:18:15	ga_ls7e_ard_3-0-0_090089_2012-12-03_final
2012-12-20 09:18:01	ga_ls7e_ard_3-0-0_090088_2012-12-19_final
2012-12-20 09:18:24	ga_ls7e_ard_3-0-0_090089_2012-12-19_final
2013-08-26 09:11:30	ga_ls7e_ard_3-0-0_089089_2013-08-25_final
2017-12-18 09:24:13	ga_ls7e_ard_3-0-0_090088_2017-12-17_final
2017-12-18 09:24:37	ga_ls7e_ard_3-0-0_090089_2017-12-17_final
2018-01-03 09:24:02	ga_ls7e_ard_3-0-0_090088_2018-01-02_final
2018-01-03 09:24:26	ga_ls7e_ard_3-0-0_090089_2018-01-02_final
2018-01-17 09:36:11	ga_ls7e_ard_3-0-0_092088_2018-01-17_final
2018-01-17 09:36:35	ga_ls7e_ard_3-0-0_092089_2018-01-17_final
2018-01-26 09:29:52	ga_ls7e_ard_3-1-0_091088_2018-01-25_final
2018-01-26 09:30:16	ga_ls7e_ard_3-0-0_091089_2018-01-26_final
2018-02-09 09:42:00	ga_ls7e_ard_3-0-0_093088_2018-02-09_final
2018-02-11 09:29:37	ga_ls7e_ard_3-0-0_091088_2018-02-10_final
2018-02-11 09:30:01	ga_ls7e_ard_3-1-0_091089_2018-02-11_final
2018-03-06 09:35:34	ga_ls7e_ard_3-0-0_092088_2018-03-06_final
2018-03-06 09:35:58	ga_ls7e_ard_3-0-0_092089_2018-03-06_final
2018-03-08 09:23:11	ga_ls7e_ard_3-0-0_090088_2018-03-07_final
2018-03-08 09:23:35	ga_ls7e_ard_3-0-0_090089_2018-03-07_final
2018-03-22 09:35:22	ga_ls7e_ard_3-0-0_092088_2018-03-22_final
2018-03-22 09:35:46	ga_ls7e_ard_3-0-0_092089_2018-03-22_final
2018-03-24 09:23:22	ga_ls7e_ard_3-0-0_090089_2018-03-23_final
2018-04-23 09:34:51	ga_ls7e_ard_3-0-0_092088_2018-04-23_final
2018-04-23 09:35:15	ga_ls7e_ard_3-0-0_092089_2018-04-23_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_final
2018-04-25 09:22:52	ga_ls7e_ard_3-0-0_090089_2018-04-24_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2018-06-26 09:33:45	ga_ls7e_ard_3-0-0_092088_2018-06-26_final
2018-06-26 09:34:09	ga_ls7e_ard_3-0-0_092089_2018-06-26_final
2018-07-12 09:33:25	ga_ls7e_ard_3-0-0_092088_2018-07-12_final
2018-07-12 09:33:49	ga_ls7e_ard_3-0-0_092089_2018-07-12_final
2018-07-21 09:27:06	ga_ls7e_ard_3-0-0_091088_2018-07-20_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-28 09:33:09	ga_ls7e_ard_3-0-0_092088_2018-07-28_final
2018-07-28 09:33:33	ga_ls7e_ard_3-0-0_092089_2018-07-28_final
2018-10-18 09:19:01	ga_ls7e_ard_3-0-0_090088_2018-10-17_final
2018-11-01 09:31:29	ga_ls7e_ard_3-0-0_092089_2018-11-01_final
2018-11-10 09:24:42	ga_ls7e_ard_3-0-0_091088_2018-11-09_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