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
2001-06-06 09:04:33	ga_ls7e_ard_3-0-0_089086_2001-06-05_final
2001-07-13 09:22:49	ga_ls7e_ard_3-0-0_092086_2001-07-12_final
2001-07-13 09:23:12	ga_ls7e_ard_3-0-0_092087_2001-07-12_final
2001-07-15 09:10:26	ga_ls7e_ard_3-0-0_090086_2001-07-14_final
2007-11-24 09:42:11	ga_ls7e_ard_3-0-0_095086_2007-11-24_final
2007-11-24 09:42:35	ga_ls7e_ard_3-0-0_095087_2007-11-24_final
2007-12-30 09:18:01	ga_ls7e_ard_3-0-0_091087_2007-12-29_final
2008-01-18 09:48:31	ga_ls7e_ard_3-1-0_096086_2008-01-18_final
2008-02-09 09:11:23	ga_ls7e_ard_3-0-0_090086_2008-02-08_final
2008-02-12 09:42:41	ga_ls7e_ard_3-0-0_095087_2008-02-12_final
2008-04-16 09:42:07	ga_ls7e_ard_3-0-0_095086_2008-04-16_final
2008-04-18 09:29:45	ga_ls7e_ard_3-0-0_093086_2008-04-17_final
2008-04-18 09:30:09	ga_ls7e_ard_3-1-0_093087_2008-04-18_final
2008-05-29 09:23:21	ga_ls7e_ard_3-0-0_092086_2008-05-28_final
2008-05-29 09:23:45	ga_ls7e_ard_3-0-0_092087_2008-05-28_final
2008-05-31 09:10:58	ga_ls7e_ard_3-0-0_090086_2008-05-30_final
2018-04-30 09:40:07	ga_ls7e_ard_3-0-0_093086_2018-04-30_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-05-14 09:52:14	ga_ls7e_ard_3-0-0_095086_2018-05-14_final
2018-05-16 09:39:50	ga_ls7e_ard_3-0-0_093086_2018-05-16_final
2018-05-18 09:27:27	ga_ls7e_ard_3-1-0_091086_2018-05-17_final
2018-06-05 09:14:48	ga_ls7e_ard_3-0-0_089086_2018-06-04_final
2018-06-06 09:58:03	ga_ls7e_ard_3-1-0_096086_2018-06-06_final
2018-06-08 09:46:03	ga_ls7e_ard_3-0-0_094087_2018-06-08_final
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-07-17 09:51:05	ga_ls7e_ard_3-0-0_095086_2018-07-17_final
2018-07-19 09:38:41	ga_ls7e_ard_3-0-0_093086_2018-07-19_final
2018-07-19 09:39:05	ga_ls7e_ard_3-1-0_093087_2018-07-19_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-08-04 09:38:25	ga_ls7e_ard_3-0-0_093086_2018-08-04_final
2018-08-04 09:38:48	ga_ls7e_ard_3-0-0_093087_2018-08-04_final
2018-08-06 09:26:01	ga_ls7e_ard_3-1-0_091086_2018-08-05_final
2018-08-13 09:32:28	ga_ls7e_ard_3-0-0_092087_2018-08-13_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2018-09-30 09:31:01	ga_ls7e_ard_3-0-0_092086_2018-09-30_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2018-10-02 09:18:37	ga_ls7e_ard_3-0-0_090086_2018-10-01_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
2018-10-18 09:18:13	ga_ls7e_ard_3-0-0_090086_2018-10-17_final
2018-10-23 09:36:39	ga_ls7e_ard_3-0-0_093086_2018-10-23_final
2018-10-23 09:37:03	ga_ls7e_ard_3-0-0_093087_2018-10-23_final
2018-10-30 09:42:41	ga_ls7e_ard_3-0-0_094086_2018-10-30_final
2018-10-30 09:43:05	ga_ls7e_ard_3-0-0_094087_2018-10-30_final
2018-11-01 09:30:17	ga_ls7e_ard_3-0-0_092086_2018-11-01_final
2018-11-12 09:11:30	ga_ls7e_ard_3-0-0_089086_2018-11-11_final
2018-11-19 09:17:30	ga_ls7e_ard_3-0-0_090086_2018-11-18_final
2018-11-26 09:23:31	ga_ls7e_ard_3-1-0_091086_2018-11-25_final
2018-11-26 09:23:55	ga_ls7e_ard_3-0-0_091087_2018-11-25_final
2018-12-01 09:41:55	ga_ls7e_ard_3-0-0_094086_2018-12-01_final
2018-12-01 09:42:19	ga_ls7e_ard_3-0-0_094087_2018-12-01_final
2018-12-10 09:35:30	ga_ls7e_ard_3-0-0_093086_2018-12-10_final
2018-12-10 09:35:54	ga_ls7e_ard_3-1-0_093087_2018-12-10_final
2018-12-12 09:23:05	ga_ls7e_ard_3-1-0_091086_2018-12-11_final
2018-12-12 09:23:29	ga_ls7e_ard_3-0-0_091087_2018-12-11_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
2018-12-24 09:47:52	ga_ls7e_ard_3-0-0_095087_2018-12-24_final
2018-12-26 09:35:03	ga_ls7e_ard_3-0-0_093086_2018-12-26_final
2018-12-26 09:35:26	ga_ls7e_ard_3-0-0_093087_2018-12-26_final
2019-01-06 09:16:10	ga_ls7e_ard_3-0-0_090086_2019-01-05_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
2019-02-19 09:39:31	ga_ls7e_ard_3-1-0_094086_2019-02-19_final
2019-02-21 09:27:06	ga_ls7e_ard_3-1-0_092086_2019-02-20_final
2019-02-23 09:14:41	ga_ls7e_ard_3-1-0_090086_2019-02-22_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-04-01 09:32:01	ga_ls7e_ard_3-0-0_093086_2019-04-01_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-04-03 09:19:59	ga_ls7e_ard_3-0-0_091087_2019-04-02_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-11-29 09:09:51	ga_ls7e_ard_3-1-0_091086_2019-11-28_final
2019-11-29 09:10:15	ga_ls7e_ard_3-1-0_091087_2019-11-28_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_final
2019-12-17 08:56:35	ga_ls7e_ard_3-1-0_089086_2019-12-16_final
2019-12-18 09:39:48	ga_ls7e_ard_3-1-0_096086_2019-12-18_final
2019-12-24 09:02:24	ga_ls7e_ard_3-1-0_090086_2019-12-23_final
2020-01-23 09:13:15	ga_ls7e_ard_3-1-0_092086_2020-01-22_final
2020-01-25 09:00:47	ga_ls7e_ard_3-1-0_090086_2020-01-24_final
2020-02-19 08:53:20	ga_ls7e_ard_3-1-0_089086_2020-02-18_final
2020-02-22 09:24:04	ga_ls7e_ard_3-1-0_094086_2020-02-21_final
2020-02-22 09:24:28	ga_ls7e_ard_3-1-0_094087_2020-02-21_final
2020-02-24 09:11:36	ga_ls7e_ard_3-1-0_092086_2020-02-23_final
2020-02-24 09:12:00	ga_ls7e_ard_3-1-0_092087_2020-02-23_final
2020-03-07 09:35:41	ga_ls7e_ard_3-1-0_096086_2020-03-07_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-03-11 09:10:45	ga_ls7e_ard_3-1-0_092086_2020-03-10_final
2020-03-11 09:11:09	ga_ls7e_ard_3-1-0_092087_2020-03-10_final
2020-05-09 08:48:48	ga_ls7e_ard_3-1-0_089086_2020-05-08_final
2020-05-10 09:32:00	ga_ls7e_ard_3-1-0_096086_2020-05-10_final
2020-05-12 09:19:31	ga_ls7e_ard_3-1-0_094086_2020-05-11_final
2020-05-12 09:19:55	ga_ls7e_ard_3-1-0_094087_2020-05-11_final
2020-05-14 09:07:02	ga_ls7e_ard_3-1-0_092086_2020-05-13_final
2020-06-10 08:46:53	ga_ls7e_ard_3-1-0_089086_2020-06-09_final
2020-06-13 09:17:36	ga_ls7e_ard_3-1-0_094086_2020-06-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years