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
2009-01-15 09:30:08	ga_ls7e_ard_3-1-0_093088_2009-01-15_final
2009-01-17 09:17:47	ga_ls7e_ard_3-0-0_091088_2009-01-16_final
2009-01-17 09:18:11	ga_ls7e_ard_3-0-0_091089_2009-01-16_final
2009-02-11 09:11:45	ga_ls7e_ard_3-0-0_090088_2009-02-10_final
2009-02-11 09:12:09	ga_ls7e_ard_3-0-0_090089_2009-02-10_final
2009-03-24 09:06:19	ga_ls7e_ard_3-0-0_089089_2009-03-23_final
2009-03-29 09:24:30	ga_ls7e_ard_3-0-0_092088_2009-03-28_final
2009-03-29 09:24:54	ga_ls7e_ard_3-0-0_092089_2009-03-28_final
2009-04-07 09:18:22	ga_ls7e_ard_3-0-0_091088_2009-04-06_final
2009-04-07 09:18:46	ga_ls7e_ard_3-0-0_091089_2009-04-06_final
2009-04-14 09:24:35	ga_ls7e_ard_3-0-0_092088_2009-04-13_final
2009-04-14 09:24:59	ga_ls7e_ard_3-0-0_092089_2009-04-13_final
2009-04-16 09:12:38	ga_ls7e_ard_3-0-0_090089_2009-04-15_final
2009-05-18 09:12:20	ga_ls7e_ard_3-0-0_090088_2009-05-17_final
2009-05-18 09:12:44	ga_ls7e_ard_3-0-0_090089_2009-05-17_final
2009-05-23 09:30:52	ga_ls7e_ard_3-0-0_093088_2009-05-23_final
2009-06-01 09:24:41	ga_ls7e_ard_3-0-0_092088_2009-05-31_final
2009-06-01 09:25:05	ga_ls7e_ard_3-0-0_092089_2009-05-31_final
2009-06-12 09:06:32	ga_ls7e_ard_3-0-0_089089_2009-06-11_final
2009-06-17 09:24:40	ga_ls7e_ard_3-0-0_092088_2009-06-16_final
2009-06-17 09:25:04	ga_ls7e_ard_3-0-0_092089_2009-06-16_final
2009-07-14 09:06:26	ga_ls7e_ard_3-1-0_089089_2009-07-13_final
2009-07-19 09:24:33	ga_ls7e_ard_3-0-0_092088_2009-07-18_final
2009-08-04 09:24:28	ga_ls7e_ard_3-0-0_092088_2009-08-03_final
2009-08-04 09:24:52	ga_ls7e_ard_3-0-0_092089_2009-08-03_final
2014-11-06 09:32:28	ga_ls7e_ard_3-0-0_092088_2014-11-06_final
2014-11-06 09:32:52	ga_ls7e_ard_3-0-0_092089_2014-11-06_final
2014-12-15 09:38:54	ga_ls7e_ard_3-0-0_093088_2014-12-15_final
2015-02-03 09:26:45	ga_ls7e_ard_3-0-0_091088_2015-02-02_final
2015-02-03 09:27:09	ga_ls7e_ard_3-0-0_091089_2015-02-02_final
2015-02-05 09:14:48	ga_ls7e_ard_3-0-0_089089_2015-02-04_final
2015-02-10 09:32:56	ga_ls7e_ard_3-0-0_092088_2015-02-10_final
2015-02-10 09:33:20	ga_ls7e_ard_3-0-0_092089_2015-02-10_final
2015-02-12 09:20:33	ga_ls7e_ard_3-0-0_090088_2015-02-11_final
2015-02-12 09:20:57	ga_ls7e_ard_3-0-0_090089_2015-02-11_final
2015-02-19 09:27:13	ga_ls7e_ard_3-0-0_091089_2015-02-18_final
2015-02-21 09:14:53	ga_ls7e_ard_3-0-0_089089_2015-02-20_final
2015-03-09 09:15:00	ga_ls7e_ard_3-0-0_089089_2015-03-08_final
2015-03-14 09:33:11	ga_ls7e_ard_3-0-0_092088_2015-03-14_final
2015-04-06 09:39:34	ga_ls7e_ard_3-0-0_093088_2015-04-06_final
2015-04-08 09:27:14	ga_ls7e_ard_3-0-0_091088_2015-04-07_final
2015-04-08 09:27:38	ga_ls7e_ard_3-0-0_091089_2015-04-07_final
2015-04-10 09:15:17	ga_ls7e_ard_3-0-0_089089_2015-04-09_final
2015-04-15 09:33:28	ga_ls7e_ard_3-0-0_092088_2015-04-15_final
2015-04-17 09:21:07	ga_ls7e_ard_3-0-0_090088_2015-04-16_final
2015-04-17 09:21:31	ga_ls7e_ard_3-0-0_090089_2015-04-16_final
2015-04-22 09:39:39	ga_ls7e_ard_3-0-0_093088_2015-04-22_final
2015-05-19 09:21:21	ga_ls7e_ard_3-0-0_090088_2015-05-18_final
2015-05-19 09:21:45	ga_ls7e_ard_3-0-0_090089_2015-05-18_final
2015-06-18 09:33:52	ga_ls7e_ard_3-0-0_092088_2015-06-18_final
2015-06-18 09:34:16	ga_ls7e_ard_3-0-0_092089_2015-06-18_final
2015-07-15 09:15:51	ga_ls7e_ard_3-1-0_089089_2015-07-14_final
2015-07-27 09:40:11	ga_ls7e_ard_3-0-0_093088_2015-07-27_final
2015-07-29 09:27:49	ga_ls7e_ard_3-0-0_091088_2015-07-28_final
2015-08-12 09:40:16	ga_ls7e_ard_3-0-0_093088_2015-08-12_final
2016-06-22 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-06-21_final
2016-06-22 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-06-21_final
2016-06-27 09:43:00	ga_ls7e_ard_3-0-0_093088_2016-06-27_final
2017-01-16 09:24:01	ga_ls7e_ard_3-0-0_090088_2017-01-15_final
2017-01-16 09:24:25	ga_ls7e_ard_3-0-0_090089_2017-01-15_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
2018-04-25 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
2018-06-26 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
2018-11-17 09:30:43	ga_ls7e_ard_3-0-0_092088_2018-11-17_final
2018-11-17 09:31:07	ga_ls7e_ard_3-0-0_092089_2018-11-17_final
2018-12-28 09:23:25	ga_ls7e_ard_3-0-0_091088_2018-12-27_final
2018-12-28 09:23:49	ga_ls7e_ard_3-0-0_091089_2018-12-27_final
2019-01-27 09:34:50	ga_ls7e_ard_3-0-0_093088_2019-01-27_final
2019-01-29 09:22:24	ga_ls7e_ard_3-0-0_091088_2019-01-28_final
2019-01-29 09:22:48	ga_ls7e_ard_3-0-0_091089_2019-01-28_final
2019-02-05 09:28:47	ga_ls7e_ard_3-0-0_092089_2019-02-04_final
2019-02-12 09:34:21	ga_ls7e_ard_3-0-0_093088_2019-02-12_final
2019-02-14 09:21:56	ga_ls7e_ard_3-0-0_091088_2019-02-13_final
2019-02-14 09:22:20	ga_ls7e_ard_3-0-0_091089_2019-02-13_final
2019-02-28 09:33:52	ga_ls7e_ard_3-1-0_093088_2019-02-28_final
2019-03-02 09:21:26	ga_ls7e_ard_3-1-0_091088_2019-03-01_final
2019-03-02 09:21:50	ga_ls7e_ard_3-1-0_091089_2019-03-01_final
2019-03-09 09:27:24	ga_ls7e_ard_3-1-0_092088_2019-03-08_final
2019-03-11 09:14:58	ga_ls7e_ard_3-1-0_090088_2019-03-10_final
2019-03-11 09:15:22	ga_ls7e_ard_3-1-0_090089_2019-03-10_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-04-03 09:20:23	ga_ls7e_ard_3-0-0_091088_2019-04-02_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-04-26 09:26:08	ga_ls7e_ard_3-0-0_092089_2019-04-25_final
2019-05-03 09:31:39	ga_ls7e_ard_3-0-0_093088_2019-05-03_final
2019-05-05 09:19:12	ga_ls7e_ard_3-0-0_091088_2019-05-04_final
2019-05-05 09:19:36	ga_ls7e_ard_3-0-0_091089_2019-05-04_final
2019-05-12 09:25:07	ga_ls7e_ard_3-0-0_092088_2019-05-11_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-05-14 09:12:41	ga_ls7e_ard_3-0-0_090088_2019-05-13_final
2019-05-14 09:13:05	ga_ls7e_ard_3-0-0_090089_2019-05-13_final
2019-06-04 09:30:27	ga_ls7e_ard_3-0-0_093088_2019-06-04_final
2019-06-06 09:18:01	ga_ls7e_ard_3-0-0_091088_2019-06-05_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