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
2005-03-18 09:23:09	ga_ls7e_ard_3-0-0_092086_2005-03-17_final
2005-03-18 09:23:33	ga_ls7e_ard_3-0-0_092087_2005-03-17_final
2005-03-27 09:16:57	ga_ls7e_ard_3-1-0_091086_2005-03-26_final
2005-03-27 09:17:21	ga_ls7e_ard_3-0-0_091087_2005-03-26_final
2005-04-08 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-04-08_final
2005-04-08 09:42:00	ga_ls7e_ard_3-0-0_095087_2005-04-08_final
2005-04-14 09:04:29	ga_ls7e_ard_3-0-0_089086_2005-04-13_final
2005-04-15 09:47:44	ga_ls7e_ard_3-1-0_096086_2005-04-15_final
2005-04-26 09:29:11	ga_ls7e_ard_3-0-0_093086_2005-04-25_final
2005-04-26 09:29:35	ga_ls7e_ard_3-0-0_093087_2005-04-25_final
2005-04-28 09:16:50	ga_ls7e_ard_3-1-0_091086_2005-04-27_final
2005-04-28 09:17:14	ga_ls7e_ard_3-0-0_091087_2005-04-27_final
2005-04-30 09:04:29	ga_ls7e_ard_3-0-0_089086_2005-04-29_final
2005-05-01 09:47:45	ga_ls7e_ard_3-1-0_096086_2005-05-01_final
2005-05-23 09:10:41	ga_ls7e_ard_3-0-0_090086_2005-05-22_final
2005-05-28 09:29:12	ga_ls7e_ard_3-0-0_093086_2005-05-27_final
2005-05-28 09:29:36	ga_ls7e_ard_3-1-0_093087_2005-05-27_final
2005-06-11 09:41:28	ga_ls7e_ard_3-0-0_095086_2005-06-11_final
2005-06-11 09:41:52	ga_ls7e_ard_3-0-0_095087_2005-06-11_final
2005-06-13 09:29:05	ga_ls7e_ard_3-0-0_093086_2005-06-12_final
2005-06-13 09:29:29	ga_ls7e_ard_3-0-0_093087_2005-06-12_final
2005-06-15 09:16:43	ga_ls7e_ard_3-1-0_091086_2005-06-14_final
2005-06-15 09:17:07	ga_ls7e_ard_3-0-0_091087_2005-06-14_final
2005-06-27 09:41:23	ga_ls7e_ard_3-0-0_095086_2005-06-27_final
2005-06-27 09:41:47	ga_ls7e_ard_3-0-0_095087_2005-06-27_final
2005-06-29 09:29:01	ga_ls7e_ard_3-0-0_093086_2005-06-28_final
2005-06-29 09:29:25	ga_ls7e_ard_3-0-0_093087_2005-06-28_final
2005-07-01 09:16:40	ga_ls7e_ard_3-1-0_091086_2005-06-30_final
2005-07-10 09:10:31	ga_ls7e_ard_3-0-0_090086_2005-07-09_final
2005-07-17 09:16:42	ga_ls7e_ard_3-1-0_091086_2005-07-16_final
2005-07-17 09:17:06	ga_ls7e_ard_3-0-0_091087_2005-07-16_final
2005-07-19 09:04:20	ga_ls7e_ard_3-0-0_089086_2005-07-18_final
2005-07-20 09:47:36	ga_ls7e_ard_3-1-0_096086_2005-07-20_final
2005-07-24 09:23:16	ga_ls7e_ard_3-0-0_092087_2005-07-23_final
2005-07-26 09:10:30	ga_ls7e_ard_3-0-0_090086_2005-07-25_final
2005-07-31 09:29:02	ga_ls7e_ard_3-0-0_093086_2005-07-30_final
2005-07-31 09:29:26	ga_ls7e_ard_3-0-0_093087_2005-07-30_final
2005-08-02 09:16:40	ga_ls7e_ard_3-1-0_091086_2005-08-01_final
2005-08-02 09:17:04	ga_ls7e_ard_3-0-0_091087_2005-08-01_final
2005-08-07 09:35:11	ga_ls7e_ard_3-0-0_094086_2005-08-07_final
2005-08-09 09:22:49	ga_ls7e_ard_3-0-0_092086_2005-08-08_final
2005-08-09 09:23:13	ga_ls7e_ard_3-0-0_092087_2005-08-08_final
2005-09-01 09:28:50	ga_ls7e_ard_3-0-0_093086_2005-08-31_final
2005-09-03 09:16:27	ga_ls7e_ard_3-1-0_091086_2005-09-02_final
2005-09-03 09:16:51	ga_ls7e_ard_3-0-0_091087_2005-09-02_final
2005-09-08 09:34:56	ga_ls7e_ard_3-0-0_094086_2005-09-08_final
2005-09-08 09:35:20	ga_ls7e_ard_3-0-0_094087_2005-09-08_final
2005-09-21 09:03:59	ga_ls7e_ard_3-0-0_089086_2005-09-20_final
2005-10-03 09:28:42	ga_ls7e_ard_3-0-0_093086_2005-10-02_final
2005-10-03 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-10-02_final
2005-11-02 09:41:45	ga_ls7e_ard_3-0-0_095087_2005-11-02_final
2016-05-24 09:54:50	ga_ls7e_ard_3-0-0_095087_2016-05-24_final
2016-06-18 09:48:46	ga_ls7e_ard_3-0-0_094087_2016-06-18_final
2016-06-27 09:42:36	ga_ls7e_ard_3-1-0_093087_2016-06-27_final
2016-06-29 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-06-29_final
2016-07-31 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-07-31_final
2016-08-23 09:36:30	ga_ls7e_ard_3-0-0_092087_2016-08-23_final
2016-08-28 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-08-28_final
2016-09-06 09:48:55	ga_ls7e_ard_3-0-0_094087_2016-09-06_final
2016-09-08 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-09-08_final
2016-09-17 09:30:23	ga_ls7e_ard_3-0-0_091087_2016-09-17_final
2016-09-24 09:36:35	ga_ls7e_ard_3-0-0_092087_2016-09-24_final
2016-10-03 09:30:26	ga_ls7e_ard_3-0-0_091087_2016-10-03_final
2016-10-08 09:48:58	ga_ls7e_ard_3-0-0_094087_2016-10-08_final
2016-10-10 09:36:36	ga_ls7e_ard_3-0-0_092087_2016-10-10_final
2016-10-17 09:42:46	ga_ls7e_ard_3-0-0_093087_2016-10-17_final
2016-10-19 09:30:24	ga_ls7e_ard_3-0-0_091087_2016-10-19_final
2016-10-31 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-10-31_final
2016-11-02 09:42:41	ga_ls7e_ard_3-1-0_093087_2016-11-02_final
2016-11-18 09:42:34	ga_ls7e_ard_3-1-0_093087_2016-11-18_final
2016-11-20 09:30:12	ga_ls7e_ard_3-1-0_091087_2016-11-20_final
2016-12-02 09:54:54	ga_ls7e_ard_3-0-0_095087_2016-12-02_final
2016-12-04 09:42:32	ga_ls7e_ard_3-1-0_093087_2016-12-04_final
2016-12-06 09:30:09	ga_ls7e_ard_3-1-0_091087_2016-12-06_final
2016-12-13 09:36:18	ga_ls7e_ard_3-0-0_092087_2016-12-13_final
2016-12-29 09:36:11	ga_ls7e_ard_3-0-0_092087_2016-12-29_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-07 09:29:54	ga_ls7e_ard_3-1-0_091087_2017-01-06_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_final
2017-01-19 09:54:29	ga_ls7e_ard_3-0-0_095087_2017-01-19_final
2017-01-23 09:29:43	ga_ls7e_ard_3-0-0_091087_2017-01-22_final
2017-01-28 09:48:14	ga_ls7e_ard_3-0-0_094087_2017-01-28_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2018-02-09 09:41:36	ga_ls7e_ard_3-0-0_093087_2018-02-09_final
2018-02-11 09:29:13	ga_ls7e_ard_3-0-0_091087_2018-02-10_final
2018-03-22 09:34:58	ga_ls7e_ard_3-0-0_092087_2018-03-22_final
2018-06-08 09:46:03	ga_ls7e_ard_3-0-0_094087_2018-06-08_final
2018-06-10 09:33:39	ga_ls7e_ard_3-0-0_092087_2018-06-10_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-07-26 09:45:09	ga_ls7e_ard_3-0-0_094087_2018-07-26_final
2018-07-28 09:32:45	ga_ls7e_ard_3-0-0_092087_2018-07-28_final
2019-06-15 09:10:43	ga_ls7e_ard_3-0-0_090086_2019-06-14_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-10-28 09:11:19	ga_ls7e_ard_3-1-0_091086_2019-10-27_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-10-30 08:58:53	ga_ls7e_ard_3-1-0_089086_2019-10-29_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-11 09:23:27	ga_ls7e_ard_3-1-0_093087_2019-11-10_final
2019-11-13 09:10:36	ga_ls7e_ard_3-1-0_091086_2019-11-12_final
2019-11-13 09:11:00	ga_ls7e_ard_3-1-0_091087_2019-11-12_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