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:

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First 100 results (query limit)

Time (local)	Label
1999-07-10 09:14:40	ga_ls7e_ard_3-0-0_090088_1999-07-09_final
1999-08-09 09:27:09	ga_ls7e_ard_3-0-0_092088_1999-08-08_final
1999-08-11 09:14:47	ga_ls7e_ard_3-0-0_090088_1999-08-10_final
1999-08-11 09:15:11	ga_ls7e_ard_3-0-0_090089_1999-08-10_final
1999-09-17 09:33:16	ga_ls7e_ard_3-0-0_093088_1999-09-17_final
1999-09-21 09:09:01	ga_ls7e_ard_3-1-0_089089_1999-09-20_final
1999-09-26 09:27:14	ga_ls7e_ard_3-0-0_092088_1999-09-25_final
1999-09-28 09:14:53	ga_ls7e_ard_3-0-0_090088_1999-09-27_final
1999-09-28 09:15:17	ga_ls7e_ard_3-0-0_090089_1999-09-27_final
1999-10-03 09:33:28	ga_ls7e_ard_3-0-0_093088_1999-10-03_final
1999-11-24 09:08:52	ga_ls7e_ard_3-0-0_089089_1999-11-23_final
1999-12-06 09:33:18	ga_ls7e_ard_3-0-0_093088_1999-12-06_final
1999-12-17 09:14:50	ga_ls7e_ard_3-0-0_090088_1999-12-16_final
1999-12-17 09:15:14	ga_ls7e_ard_3-0-0_090089_1999-12-16_final
2000-02-01 09:27:02	ga_ls7e_ard_3-0-0_092088_2000-01-31_final
2000-02-01 09:27:26	ga_ls7e_ard_3-0-0_092089_2000-01-31_final
2000-02-17 09:26:57	ga_ls7e_ard_3-0-0_092088_2000-02-16_final
2000-02-17 09:27:21	ga_ls7e_ard_3-0-0_092089_2000-02-16_final
2000-03-20 09:26:51	ga_ls7e_ard_3-0-0_092088_2000-03-19_final
2000-03-20 09:27:15	ga_ls7e_ard_3-0-0_092089_2000-03-19_final
2000-04-07 09:14:19	ga_ls7e_ard_3-0-0_090088_2000-04-06_final
2000-04-07 09:14:43	ga_ls7e_ard_3-0-0_090089_2000-04-06_final
2000-04-12 09:32:44	ga_ls7e_ard_3-0-0_093088_2000-04-12_final
2000-04-16 09:08:24	ga_ls7e_ard_3-1-0_089089_2000-04-15_final
2009-10-02 09:06:13	ga_ls7e_ard_3-0-0_089089_2009-10-01_final
2009-10-18 09:06:17	ga_ls7e_ard_3-0-0_089089_2009-10-17_final
2009-10-25 09:12:11	ga_ls7e_ard_3-0-0_090088_2009-10-24_final
2009-10-25 09:12:35	ga_ls7e_ard_3-0-0_090089_2009-10-24_final
2009-11-17 09:19:06	ga_ls7e_ard_3-0-0_091089_2009-11-16_final
2011-10-13 09:27:29	ga_ls7e_ard_3-0-0_092088_2011-10-12_final
2011-10-13 09:27:53	ga_ls7e_ard_3-0-0_092089_2011-10-12_final
2012-01-03 09:15:54	ga_ls7e_ard_3-0-0_090088_2012-01-02_final
2012-01-03 09:16:18	ga_ls7e_ard_3-0-0_090089_2012-01-02_final
2012-02-11 09:22:35	ga_ls7e_ard_3-0-0_091089_2012-02-10_final
2012-04-01 09:10:13	ga_ls7e_ard_3-1-0_089089_2012-03-31_final
2012-04-06 09:28:44	ga_ls7e_ard_3-0-0_092089_2012-04-05_final
2012-04-24 09:16:09	ga_ls7e_ard_3-0-0_090088_2012-04-23_final
2012-04-24 09:16:33	ga_ls7e_ard_3-0-0_090089_2012-04-23_final
2012-05-10 09:16:32	ga_ls7e_ard_3-0-0_090088_2012-05-09_final
2012-05-10 09:16:56	ga_ls7e_ard_3-0-0_090089_2012-05-09_final
2012-06-18 09:22:30	ga_ls7e_ard_3-0-0_091088_2012-06-17_final
2012-06-18 09:22:54	ga_ls7e_ard_3-0-0_091089_2012-06-17_final
2012-08-05 09:23:28	ga_ls7e_ard_3-0-0_091089_2012-08-04_final
2012-08-21 09:23:16	ga_ls7e_ard_3-0-0_091088_2012-08-20_final
2012-08-21 09:23:40	ga_ls7e_ard_3-0-0_091089_2012-08-20_final
2012-08-23 09:11:19	ga_ls7e_ard_3-0-0_089089_2012-08-22_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
2017-02-17 09:23:52	ga_ls7e_ard_3-0-0_090088_2017-02-16_final
2017-02-17 09:24:15	ga_ls7e_ard_3-0-0_090089_2017-02-16_final
2017-03-05 09:24:00	ga_ls7e_ard_3-0-0_090088_2017-03-04_final
2017-03-05 09:24:24	ga_ls7e_ard_3-0-0_090089_2017-03-04_final
2017-03-10 09:42:34	ga_ls7e_ard_3-0-0_093088_2017-03-10_final
2017-04-06 09:24:09	ga_ls7e_ard_3-0-0_090088_2017-04-05_final
2017-04-06 09:24:33	ga_ls7e_ard_3-0-0_090089_2017-04-05_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_final
2017-05-15 09:30:57	ga_ls7e_ard_3-0-0_091089_2017-05-15_final
2017-08-28 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-27_final
2017-08-28 09:24:54	ga_ls7e_ard_3-0-0_090089_2017-08-27_final
2017-10-15 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-14_final
2017-10-15 09:24:55	ga_ls7e_ard_3-0-0_090089_2017-10-14_final
2019-10-19 09:18:42	ga_ls7e_ard_3-1-0_092088_2019-10-18_final
2019-11-06 09:05:32	ga_ls7e_ard_3-1-0_090088_2019-11-05_final
2019-11-06 09:05:56	ga_ls7e_ard_3-1-0_090089_2019-11-05_final
2019-11-13 09:11:24	ga_ls7e_ard_3-1-0_091088_2019-11-12_final
2019-11-20 09:17:39	ga_ls7e_ard_3-1-0_092089_2019-11-19_final
2020-01-09 09:02:22	ga_ls7e_ard_3-1-0_090088_2020-01-08_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-02-08 09:13:14	ga_ls7e_ard_3-1-0_092088_2020-02-07_final
2020-02-08 09:13:38	ga_ls7e_ard_3-1-0_092089_2020-02-07_final
2020-03-02 09:18:13	ga_ls7e_ard_3-1-0_093088_2020-03-01_final
2020-03-04 09:05:45	ga_ls7e_ard_3-1-0_091088_2020-03-03_final
2020-03-04 09:06:09	ga_ls7e_ard_3-1-0_091089_2020-03-03_final
2020-03-13 08:59:04	ga_ls7e_ard_3-1-0_090088_2020-03-12_final
2020-03-13 08:59:28	ga_ls7e_ard_3-1-0_090089_2020-03-12_final
2020-03-20 09:04:52	ga_ls7e_ard_3-1-0_091088_2020-03-19_final
2020-03-20 09:05:16	ga_ls7e_ard_3-1-0_091089_2020-03-19_final
2020-03-29 08:58:11	ga_ls7e_ard_3-1-0_090088_2020-03-28_final
2020-03-29 08:58:35	ga_ls7e_ard_3-1-0_090089_2020-03-28_final
2020-04-03 09:16:26	ga_ls7e_ard_3-1-0_093088_2020-04-02_final
2020-04-05 09:03:58	ga_ls7e_ard_3-1-0_091088_2020-04-04_final
2020-04-05 09:04:22	ga_ls7e_ard_3-1-0_091089_2020-04-04_final
2020-04-12 09:09:45	ga_ls7e_ard_3-1-0_092088_2020-04-11_final
2020-04-12 09:10:09	ga_ls7e_ard_3-1-0_092089_2020-04-11_final
2020-04-21 09:03:02	ga_ls7e_ard_3-1-0_091088_2020-04-20_final
2020-04-21 09:03:26	ga_ls7e_ard_3-1-0_091089_2020-04-20_final
2020-04-28 09:08:48	ga_ls7e_ard_3-1-0_092088_2020-04-27_final
2020-05-14 09:07:50	ga_ls7e_ard_3-1-0_092088_2020-05-13_final
2020-05-16 08:55:21	ga_ls7e_ard_3-1-0_090088_2020-05-15_final
2020-05-16 08:55:45	ga_ls7e_ard_3-1-0_090089_2020-05-15_final
2020-05-21 09:13:35	ga_ls7e_ard_3-1-0_093088_2020-05-20_final
2020-05-23 09:01:06	ga_ls7e_ard_3-1-0_091088_2020-05-22_final
2020-05-23 09:01:29	ga_ls7e_ard_3-1-0_091089_2020-05-22_final
2020-06-01 08:54:23	ga_ls7e_ard_3-1-0_090088_2020-05-31_final
2020-06-01 08:54:47	ga_ls7e_ard_3-1-0_090089_2020-05-31_final
2020-06-24 08:59:13	ga_ls7e_ard_3-1-0_091088_2020-06-23_final
2020-06-24 08:59:37	ga_ls7e_ard_3-1-0_091089_2020-06-23_final
2020-07-01 09:04:59	ga_ls7e_ard_3-1-0_092088_2020-06-30_final
2020-07-01 09:05:23	ga_ls7e_ard_3-1-0_092089_2020-06-30_final
2020-07-03 08:52:30	ga_ls7e_ard_3-1-0_090088_2020-07-02_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