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
1999-08-07 09:39:07	ga_ls7e_ard_3-0-0_094087_1999-08-07_final
1999-08-09 09:27:09	ga_ls7e_ard_3-0-0_092088_1999-08-08_final
1999-08-23 09:39:06	ga_ls7e_ard_3-0-0_094087_1999-08-23_final
1999-10-12 09:26:52	ga_ls7e_ard_3-0-0_092087_1999-10-11_final
1999-10-12 09:27:16	ga_ls7e_ard_3-0-0_092088_1999-10-11_final
1999-12-15 09:26:48	ga_ls7e_ard_3-0-0_092087_1999-12-14_final
1999-12-15 09:27:12	ga_ls7e_ard_3-0-0_092088_1999-12-14_final
2000-02-01 09:26:38	ga_ls7e_ard_3-0-0_092087_2000-01-31_final
2000-02-01 09:27:02	ga_ls7e_ard_3-0-0_092088_2000-01-31_final
2000-02-17 09:26:33	ga_ls7e_ard_3-0-0_092087_2000-02-16_final
2000-02-17 09:26:57	ga_ls7e_ard_3-0-0_092088_2000-02-16_final
2000-03-02 09:38:51	ga_ls7e_ard_3-0-0_094087_2000-03-02_final
2000-03-04 09:26:28	ga_ls7e_ard_3-0-0_092087_2000-03-03_final
2000-03-04 09:26:52	ga_ls7e_ard_3-0-0_092088_2000-03-03_final
2000-03-27 09:32:35	ga_ls7e_ard_3-0-0_093087_2000-03-27_final
2000-03-29 09:20:12	ga_ls7e_ard_3-0-0_091087_2000-03-28_final
2000-03-29 09:20:36	ga_ls7e_ard_3-0-0_091088_2000-03-28_final
2000-05-12 09:44:31	ga_ls7e_ard_3-0-0_095087_2000-05-12_final
2000-05-16 09:19:47	ga_ls7e_ard_3-0-0_091087_2000-05-15_final
2003-12-24 09:35:04	ga_ls7e_ard_3-0-0_094087_2003-12-24_final
2003-12-26 09:22:44	ga_ls7e_ard_3-0-0_092087_2003-12-25_final
2003-12-26 09:23:08	ga_ls7e_ard_3-0-0_092088_2003-12-25_final
2003-12-28 09:10:47	ga_ls7e_ard_3-0-0_090088_2003-12-27_final
2003-12-31 09:41:18	ga_ls7e_ard_3-0-0_095087_2003-12-31_final
2004-01-02 09:28:56	ga_ls7e_ard_3-1-0_093087_2004-01-01_final
2004-01-20 09:16:40	ga_ls7e_ard_3-0-0_091087_2004-01-19_final
2004-01-20 09:17:04	ga_ls7e_ard_3-0-0_091088_2004-01-19_final
2004-06-10 09:29:06	ga_ls7e_ard_3-0-0_093087_2004-06-09_final
2004-07-30 09:16:31	ga_ls7e_ard_3-0-0_091087_2004-07-29_final
2004-07-30 09:16:55	ga_ls7e_ard_3-0-0_091088_2004-07-29_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2015-06-25 09:40:02	ga_ls7e_ard_3-0-0_093088_2015-06-25_final
2015-06-27 09:27:17	ga_ls7e_ard_3-0-0_091087_2015-06-26_final
2015-06-27 09:27:41	ga_ls7e_ard_3-0-0_091088_2015-06-26_final
2015-07-18 09:45:57	ga_ls7e_ard_3-0-0_094087_2015-07-18_final
2015-08-05 09:34:03	ga_ls7e_ard_3-0-0_092088_2015-08-05_final
2015-08-07 09:21:42	ga_ls7e_ard_3-0-0_090088_2015-08-06_final
2015-08-12 09:39:52	ga_ls7e_ard_3-0-0_093087_2015-08-12_final
2015-08-12 09:40:16	ga_ls7e_ard_3-0-0_093088_2015-08-12_final
2015-09-24 09:21:51	ga_ls7e_ard_3-0-0_090088_2015-09-23_final
2015-09-27 09:52:22	ga_ls7e_ard_3-0-0_095087_2015-09-27_final
2015-10-10 09:21:59	ga_ls7e_ard_3-0-0_090088_2015-10-09_final
2015-10-24 09:34:36	ga_ls7e_ard_3-0-0_092088_2015-10-24_final
2015-11-27 09:22:46	ga_ls7e_ard_3-0-0_090088_2015-11-26_final
2015-12-02 09:41:21	ga_ls7e_ard_3-0-0_093088_2015-12-02_final
2016-01-12 09:35:26	ga_ls7e_ard_3-0-0_092087_2016-01-12_final
2016-01-12 09:35:50	ga_ls7e_ard_3-0-0_092088_2016-01-12_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-10-28 09:12:07	ga_ls7e_ard_3-1-0_091088_2019-10-27_final
2019-11-04 09:17:35	ga_ls7e_ard_3-1-0_092087_2019-11-03_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2019-12-06 09:16:29	ga_ls7e_ard_3-1-0_092088_2019-12-05_final
2019-12-08 09:04:01	ga_ls7e_ard_3-1-0_090088_2019-12-07_final
2019-12-24 09:03:12	ga_ls7e_ard_3-1-0_090088_2019-12-23_final
2019-12-27 09:33:33	ga_ls7e_ard_3-1-0_095087_2019-12-27_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2019-12-31 09:09:01	ga_ls7e_ard_3-1-0_091088_2019-12-30_final
2020-01-09 09:02:22	ga_ls7e_ard_3-1-0_090088_2020-01-08_final
2020-01-14 09:20:16	ga_ls7e_ard_3-1-0_093087_2020-01-13_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-16 09:08:13	ga_ls7e_ard_3-1-0_091088_2020-01-15_final
2020-02-01 09:07:01	ga_ls7e_ard_3-1-0_091087_2020-01-31_final
2020-02-22 09:24:28	ga_ls7e_ard_3-1-0_094087_2020-02-21_final
2020-02-24 09:12:00	ga_ls7e_ard_3-1-0_092087_2020-02-23_final
2020-03-02 09:17:49	ga_ls7e_ard_3-1-0_093087_2020-03-01_final
2020-03-02 09:18:13	ga_ls7e_ard_3-1-0_093088_2020-03-01_final
2020-03-04 09:05:21	ga_ls7e_ard_3-1-0_091087_2020-03-03_final
2020-03-04 09:05:45	ga_ls7e_ard_3-1-0_091088_2020-03-03_final
2020-03-20 09:04:28	ga_ls7e_ard_3-1-0_091087_2020-03-19_final
2020-03-20 09:04:52	ga_ls7e_ard_3-1-0_091088_2020-03-19_final
2020-03-27 09:10:15	ga_ls7e_ard_3-1-0_092087_2020-03-26_final
2020-03-27 09:10:39	ga_ls7e_ard_3-1-0_092088_2020-03-26_final
2020-03-29 08:58:11	ga_ls7e_ard_3-1-0_090088_2020-03-28_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_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
2020-04-12 09:09:45	ga_ls7e_ard_3-1-0_092088_2020-04-11_final
2020-04-21 09:02:38	ga_ls7e_ard_3-1-0_091087_2020-04-20_final
2020-04-21 09:03:02	ga_ls7e_ard_3-1-0_091088_2020-04-20_final
2020-04-26 09:20:53	ga_ls7e_ard_3-1-0_094087_2020-04-25_final
2020-04-28 09:08:24	ga_ls7e_ard_3-1-0_092087_2020-04-27_final
2020-04-28 09:08:48	ga_ls7e_ard_3-1-0_092088_2020-04-27_final
2020-05-05 09:14:10	ga_ls7e_ard_3-1-0_093087_2020-05-04_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-05-07 09:02:05	ga_ls7e_ard_3-1-0_091088_2020-05-06_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
2020-05-19 09:25:40	ga_ls7e_ard_3-1-0_095087_2020-05-18_final
2020-05-21 09:13:11	ga_ls7e_ard_3-1-0_093087_2020-05-20_final
2020-05-21 09:13:35	ga_ls7e_ard_3-1-0_093088_2020-05-20_final
2020-05-23 09:00:42	ga_ls7e_ard_3-1-0_091087_2020-05-22_final
2020-05-23 09:01:06	ga_ls7e_ard_3-1-0_091088_2020-05-22_final
2020-05-28 09:18:56	ga_ls7e_ard_3-1-0_094087_2020-05-27_final
2020-05-30 09:06:27	ga_ls7e_ard_3-1-0_092087_2020-05-29_final
2020-05-30 09:06:51	ga_ls7e_ard_3-1-0_092088_2020-05-29_final
2020-06-24 08:58:49	ga_ls7e_ard_3-1-0_091087_2020-06-23_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