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
2000-10-07 09:17:40	ga_ls7e_ard_3-1-0_091086_2000-10-06_final
2000-10-09 09:05:17	ga_ls7e_ard_3-0-0_089086_2000-10-08_final
2000-10-10 09:48:32	ga_ls7e_ard_3-1-0_096086_2000-10-10_final
2000-11-01 09:11:27	ga_ls7e_ard_3-0-0_090086_2000-10-31_final
2000-11-04 09:42:21	ga_ls7e_ard_3-0-0_095086_2000-11-04_final
2000-11-15 09:23:47	ga_ls7e_ard_3-0-0_092086_2000-11-14_final
2000-11-17 09:11:25	ga_ls7e_ard_3-0-0_090086_2000-11-16_final
2007-09-18 09:10:53	ga_ls7e_ard_3-0-0_090086_2007-09-17_final
2007-09-21 09:41:47	ga_ls7e_ard_3-0-0_095086_2007-09-21_final
2007-09-23 09:29:25	ga_ls7e_ard_3-0-0_093086_2007-09-22_final
2007-09-25 09:17:02	ga_ls7e_ard_3-1-0_091086_2007-09-24_final
2007-09-28 09:47:56	ga_ls7e_ard_3-1-0_096086_2007-09-28_final
2007-11-12 09:17:21	ga_ls7e_ard_3-1-0_091086_2007-11-11_final
2007-11-14 09:05:01	ga_ls7e_ard_3-0-0_089086_2007-11-13_final
2007-12-10 09:42:16	ga_ls7e_ard_3-0-0_095086_2007-12-10_final
2007-12-12 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-12-11_final
2007-12-14 09:17:34	ga_ls7e_ard_3-1-0_091086_2007-12-13_final
2008-01-01 09:05:15	ga_ls7e_ard_3-0-0_089086_2007-12-31_final
2008-01-02 09:48:31	ga_ls7e_ard_3-1-0_096086_2008-01-02_final
2008-01-04 09:36:10	ga_ls7e_ard_3-0-0_094086_2008-01-04_final
2008-01-18 09:48:31	ga_ls7e_ard_3-1-0_096086_2008-01-18_final
2008-01-22 09:23:48	ga_ls7e_ard_3-0-0_092086_2008-01-21_final
2008-01-24 09:11:26	ga_ls7e_ard_3-0-0_090086_2008-01-23_final
2008-04-29 09:11:10	ga_ls7e_ard_3-0-0_090086_2008-04-28_final
2008-05-02 09:42:03	ga_ls7e_ard_3-0-0_095086_2008-05-02_final
2017-02-27 10:00:14	ga_ls7e_ard_3-1-0_096086_2017-02-27_final
2017-03-01 09:47:53	ga_ls7e_ard_3-0-0_094086_2017-03-01_final
2017-03-03 09:35:33	ga_ls7e_ard_3-0-0_092086_2017-03-03_final
2017-04-27 09:42:03	ga_ls7e_ard_3-0-0_093086_2017-04-27_final
2017-05-04 09:48:16	ga_ls7e_ard_3-0-0_094086_2017-05-04_final
2017-05-06 09:35:55	ga_ls7e_ard_3-0-0_092086_2017-05-06_final
2017-05-08 09:23:33	ga_ls7e_ard_3-0-0_090086_2017-05-07_final
2017-05-27 09:54:31	ga_ls7e_ard_3-0-0_095086_2017-05-27_final
2017-05-29 09:42:10	ga_ls7e_ard_3-0-0_093086_2017-05-29_final
2017-07-20 09:17:34	ga_ls7e_ard_3-0-0_089086_2017-07-19_final
2017-07-21 10:00:50	ga_ls7e_ard_3-1-0_096086_2017-07-21_final
2017-08-05 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-08-04_final
2017-08-06 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-08-06_final
2017-11-09 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-11-08_final
2017-11-10 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-11-10_final
2017-11-30 09:35:57	ga_ls7e_ard_3-0-0_092086_2017-11-30_final
2017-12-07 09:42:04	ga_ls7e_ard_3-0-0_093086_2017-12-07_final
2017-12-09 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-12-08_final
2017-12-12 10:00:34	ga_ls7e_ard_3-1-0_096086_2017-12-12_final
2017-12-23 09:41:55	ga_ls7e_ard_3-0-0_093086_2017-12-23_final
2017-12-27 09:17:08	ga_ls7e_ard_3-0-0_089086_2017-12-26_final
2018-02-11 09:28:49	ga_ls7e_ard_3-1-0_091086_2018-02-10_final
2018-02-13 09:16:27	ga_ls7e_ard_3-0-0_089086_2018-02-12_final
2018-02-14 09:59:42	ga_ls7e_ard_3-1-0_096086_2018-02-14_final
2018-02-23 09:53:26	ga_ls7e_ard_3-0-0_095086_2018-02-23_final
2018-02-25 09:41:03	ga_ls7e_ard_3-0-0_093086_2018-02-25_final
2018-03-29 09:40:39	ga_ls7e_ard_3-0-0_093086_2018-03-29_final
2018-03-31 09:28:15	ga_ls7e_ard_3-1-0_091086_2018-03-30_final
2018-04-02 09:15:52	ga_ls7e_ard_3-0-0_089086_2018-04-01_final
2018-04-05 09:46:43	ga_ls7e_ard_3-0-0_094086_2018-04-05_final
2018-04-07 09:34:20	ga_ls7e_ard_3-0-0_092086_2018-04-07_final
2018-04-16 09:28:00	ga_ls7e_ard_3-1-0_091086_2018-04-15_final
2018-04-18 09:15:36	ga_ls7e_ard_3-0-0_089086_2018-04-17_final
2018-04-19 09:58:51	ga_ls7e_ard_3-1-0_096086_2018-04-19_final
2018-04-21 09:46:27	ga_ls7e_ard_3-0-0_094086_2018-04-21_final
2018-04-28 09:52:30	ga_ls7e_ard_3-0-0_095086_2018-04-28_final
2018-04-30 09:40:07	ga_ls7e_ard_3-0-0_093086_2018-04-30_final
2018-05-02 09:27:43	ga_ls7e_ard_3-1-0_091086_2018-05-01_final
2018-06-10 09:33:15	ga_ls7e_ard_3-0-0_092086_2018-06-10_final
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-07-30 09:19:58	ga_ls7e_ard_3-0-0_090086_2018-07-29_final
2018-08-11 09:44:28	ga_ls7e_ard_3-0-0_094086_2018-08-11_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2018-08-18 09:50:30	ga_ls7e_ard_3-0-0_095086_2018-08-18_final
2018-08-20 09:38:06	ga_ls7e_ard_3-0-0_093086_2018-08-20_final
2018-08-29 09:31:45	ga_ls7e_ard_3-0-0_092086_2018-08-29_final
2018-09-03 09:50:11	ga_ls7e_ard_3-0-0_095086_2018-09-03_final
2018-09-05 09:37:46	ga_ls7e_ard_3-0-0_093086_2018-09-05_final
2018-09-07 09:25:22	ga_ls7e_ard_3-1-0_091086_2018-09-06_final
2018-09-14 09:31:24	ga_ls7e_ard_3-0-0_092086_2018-09-14_final
2018-10-02 09:18:37	ga_ls7e_ard_3-0-0_090086_2018-10-01_final
2018-10-05 09:49:26	ga_ls7e_ard_3-0-0_095086_2018-10-05_final
2018-10-12 09:55:27	ga_ls7e_ard_3-1-0_096086_2018-10-12_final
2018-10-14 09:43:02	ga_ls7e_ard_3-0-0_094086_2018-10-14_final
2018-10-16 09:30:37	ga_ls7e_ard_3-0-0_092086_2018-10-16_final
2018-10-23 09:36:39	ga_ls7e_ard_3-0-0_093086_2018-10-23_final
2018-10-25 09:24:15	ga_ls7e_ard_3-1-0_091086_2018-10-24_final
2018-10-27 09:11:51	ga_ls7e_ard_3-0-0_089086_2018-10-26_final
2018-10-28 09:55:05	ga_ls7e_ard_3-1-0_096086_2018-10-28_final
2018-10-30 09:42:41	ga_ls7e_ard_3-0-0_094086_2018-10-30_final
2018-11-24 09:35:55	ga_ls7e_ard_3-0-0_093086_2018-11-24_final
2018-12-15 09:53:54	ga_ls7e_ard_3-1-0_096086_2018-12-15_final
2018-12-17 09:41:29	ga_ls7e_ard_3-0-0_094086_2018-12-17_final
2018-12-19 09:29:04	ga_ls7e_ard_3-0-0_092086_2018-12-18_final
2018-12-24 09:47:28	ga_ls7e_ard_3-0-0_095086_2018-12-24_final
2018-12-26 09:35:03	ga_ls7e_ard_3-0-0_093086_2018-12-26_final
2019-01-22 09:15:39	ga_ls7e_ard_3-0-0_090086_2019-01-21_final
2019-01-25 09:46:27	ga_ls7e_ard_3-0-0_095086_2019-01-25_final
2019-03-19 10:02:57	ga_ls7e_ard_3-1-0_098085_2019-03-19_final
2019-04-20 10:01:50	ga_ls7e_ard_3-0-0_098085_2019-04-20_final
2019-04-21 09:06:35	ga_ls7e_ard_3-0-0_089086_2019-04-20_final
2019-04-22 09:49:48	ga_ls7e_ard_3-1-0_096086_2019-04-22_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-05-19 09:30:13	ga_ls7e_ard_3-0-0_093086_2019-05-19_final
2019-05-21 09:17:47	ga_ls7e_ard_3-1-0_091086_2019-05-20_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