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
2015-01-21 11:31:37	ga_ls7e_ard_3-0-0_112076_2015-01-21_final
2015-01-21 11:32:01	ga_ls7e_ard_3-1-0_112077_2015-01-21_final
2015-01-21 11:32:24	ga_ls7e_ard_3-0-0_112078_2015-01-21_final
2015-01-21 11:32:48	ga_ls7e_ard_3-0-0_112079_2015-01-21_final
2015-01-21 11:33:12	ga_ls7e_ard_3-0-0_112080_2015-01-21_final
2015-01-21 11:33:36	ga_ls7e_ard_3-0-0_112081_2015-01-21_final
2015-01-21 11:34:00	ga_ls7e_ard_3-0-0_112082_2015-01-21_final
2015-01-23 11:22:28	ga_ls7e_ard_3-0-0_110084_2015-01-23_final
2015-04-13 11:23:06	ga_ls7e_ard_3-0-0_110084_2015-04-13_final
2015-05-31 11:23:24	ga_ls7e_ard_3-0-0_110084_2015-05-31_final
2015-06-30 11:32:43	ga_ls7e_ard_3-0-0_112076_2015-06-30_final
2015-06-30 11:33:06	ga_ls7e_ard_3-0-0_112077_2015-06-30_final
2015-06-30 11:33:30	ga_ls7e_ard_3-0-0_112078_2015-06-30_final
2015-06-30 11:33:54	ga_ls7e_ard_3-0-0_112079_2015-06-30_final
2015-06-30 11:34:18	ga_ls7e_ard_3-0-0_112080_2015-06-30_final
2015-06-30 11:34:42	ga_ls7e_ard_3-0-0_112081_2015-06-30_final
2015-06-30 11:35:06	ga_ls7e_ard_3-0-0_112082_2015-06-30_final
2017-09-14 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-09-14_final
2017-09-14 11:41:26	ga_ls7e_ard_3-0-0_113075_2017-09-14_final
2017-09-14 11:41:50	ga_ls7e_ard_3-0-0_113076_2017-09-14_final
2017-10-16 11:41:05	ga_ls7e_ard_3-0-0_113074_2017-10-16_final
2017-10-16 11:41:29	ga_ls7e_ard_3-0-0_113075_2017-10-16_final
2017-10-16 11:41:53	ga_ls7e_ard_3-0-0_113076_2017-10-16_final
2017-10-16 11:42:17	ga_ls7e_ard_3-0-0_113077_2017-10-16_final
2017-10-16 11:42:40	ga_ls7e_ard_3-0-0_113078_2017-10-16_final
2017-10-18 11:31:07	ga_ls7e_ard_3-0-0_111080_2017-10-18_final
2017-10-18 11:31:31	ga_ls7e_ard_3-0-0_111081_2017-10-18_final
2017-10-18 11:31:55	ga_ls7e_ard_3-1-0_111082_2017-10-18_final
2017-10-18 11:32:19	ga_ls7e_ard_3-0-0_111083_2017-10-18_final
2017-10-18 11:32:43	ga_ls7e_ard_3-0-0_111084_2017-10-18_final
2018-04-19 11:33:44	ga_ls7e_ard_3-0-0_112076_2018-04-19_final
2018-04-19 11:34:08	ga_ls7e_ard_3-0-0_112077_2018-04-19_final
2018-04-19 11:34:32	ga_ls7e_ard_3-0-0_112078_2018-04-19_final
2018-04-19 11:34:56	ga_ls7e_ard_3-1-0_112079_2018-04-19_final
2018-04-19 11:35:20	ga_ls7e_ard_3-0-0_112080_2018-04-19_final
2018-04-19 11:35:44	ga_ls7e_ard_3-0-0_112081_2018-04-19_final
2018-04-21 11:24:32	ga_ls7e_ard_3-0-0_110084_2018-04-21_final
2018-06-15 11:28:35	ga_ls7e_ard_3-0-0_111081_2018-06-15_final
2018-06-15 11:28:59	ga_ls7e_ard_3-1-0_111082_2018-06-15_final
2018-06-15 11:29:23	ga_ls7e_ard_3-0-0_111083_2018-06-15_final
2018-06-15 11:29:47	ga_ls7e_ard_3-0-0_111084_2018-06-15_final
2018-06-20 11:41:27	ga_ls7e_ard_3-0-0_114067_2018-06-20_final
2019-07-18 11:26:48	ga_ls7e_ard_3-0-0_113074_2019-07-18_final
2019-07-18 11:27:12	ga_ls7e_ard_3-0-0_113075_2019-07-18_final
2019-07-18 11:27:36	ga_ls7e_ard_3-0-0_113076_2019-07-18_final
2019-07-18 11:28:00	ga_ls7e_ard_3-0-0_113077_2019-07-18_final
2019-07-18 11:28:24	ga_ls7e_ard_3-0-0_113078_2019-07-18_final
2019-08-14 11:11:09	ga_ls7e_ard_3-0-0_110084_2019-08-14_final
2019-09-06 11:15:09	ga_ls7e_ard_3-1-0_111081_2019-09-06_final
2019-09-06 11:15:33	ga_ls7e_ard_3-1-0_111082_2019-09-06_final
2019-09-06 11:15:57	ga_ls7e_ard_3-1-0_111083_2019-09-06_final
2019-09-06 11:16:21	ga_ls7e_ard_3-1-0_111084_2019-09-06_final
2019-10-08 11:13:47	ga_ls7e_ard_3-1-0_111081_2019-10-08_final
2019-10-08 11:14:11	ga_ls7e_ard_3-1-0_111082_2019-10-08_final
2019-10-08 11:14:35	ga_ls7e_ard_3-1-0_111083_2019-10-08_final
2019-10-08 11:14:59	ga_ls7e_ard_3-1-0_111084_2019-10-08_final
2019-10-13 11:26:32	ga_ls7e_ard_3-1-0_114067_2019-10-13_final
2019-10-15 11:18:04	ga_ls7e_ard_3-1-0_112077_2019-10-15_final
2019-10-15 11:18:28	ga_ls7e_ard_3-1-0_112078_2019-10-15_final
2019-10-15 11:18:52	ga_ls7e_ard_3-1-0_112079_2019-10-15_final
2019-10-15 11:19:16	ga_ls7e_ard_3-1-0_112080_2019-10-15_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-15 11:20:04	ga_ls7e_ard_3-1-0_112082_2019-10-15_final
2019-11-16 11:16:39	ga_ls7e_ard_3-1-0_112077_2019-11-16_final
2019-11-16 11:17:03	ga_ls7e_ard_3-1-0_112078_2019-11-16_final
2019-11-16 11:17:27	ga_ls7e_ard_3-1-0_112079_2019-11-16_final
2019-11-16 11:17:51	ga_ls7e_ard_3-1-0_112080_2019-11-16_final
2019-11-16 11:18:15	ga_ls7e_ard_3-1-0_112081_2019-11-16_final
2019-11-16 11:18:39	ga_ls7e_ard_3-1-0_112082_2019-11-16_final
2019-11-18 11:06:59	ga_ls7e_ard_3-1-0_110084_2019-11-18_final
2019-11-23 11:21:18	ga_ls7e_ard_3-1-0_113074_2019-11-23_final
2019-11-23 11:21:42	ga_ls7e_ard_3-1-0_113075_2019-11-23_final
2019-11-23 11:22:06	ga_ls7e_ard_3-1-0_113076_2019-11-23_final
2019-11-23 11:22:30	ga_ls7e_ard_3-1-0_113077_2019-11-23_final
2019-11-23 11:22:54	ga_ls7e_ard_3-1-0_113078_2019-11-23_final
2019-12-02 11:15:53	ga_ls7e_ard_3-1-0_112077_2019-12-02_final
2019-12-02 11:16:17	ga_ls7e_ard_3-1-0_112078_2019-12-02_final
2019-12-02 11:16:41	ga_ls7e_ard_3-1-0_112079_2019-12-02_final
2019-12-02 11:17:05	ga_ls7e_ard_3-1-0_112080_2019-12-02_final
2019-12-02 11:17:29	ga_ls7e_ard_3-1-0_112081_2019-12-02_final
2019-12-02 11:17:53	ga_ls7e_ard_3-1-0_112082_2019-12-02_final
2019-12-09 11:20:31	ga_ls7e_ard_3-1-0_113074_2019-12-09_final
2019-12-09 11:20:55	ga_ls7e_ard_3-1-0_113075_2019-12-09_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2019-12-09 11:21:43	ga_ls7e_ard_3-1-0_113077_2019-12-09_final
2019-12-09 11:22:07	ga_ls7e_ard_3-1-0_113078_2019-12-09_final
2019-12-18 11:15:05	ga_ls7e_ard_3-1-0_112077_2019-12-18_final
2019-12-18 11:15:29	ga_ls7e_ard_3-1-0_112078_2019-12-18_final
2019-12-18 11:15:53	ga_ls7e_ard_3-1-0_112079_2019-12-18_final
2019-12-18 11:16:17	ga_ls7e_ard_3-1-0_112080_2019-12-18_final
2019-12-18 11:16:41	ga_ls7e_ard_3-1-0_112081_2019-12-18_final
2019-12-18 11:17:05	ga_ls7e_ard_3-1-0_112082_2019-12-18_final
2019-12-25 11:19:42	ga_ls7e_ard_3-1-0_113074_2019-12-25_final
2019-12-25 11:20:06	ga_ls7e_ard_3-1-0_113075_2019-12-25_final
2019-12-25 11:20:30	ga_ls7e_ard_3-1-0_113076_2019-12-25_final
2019-12-25 11:20:54	ga_ls7e_ard_3-1-0_113077_2019-12-25_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-01-10 11:19:17	ga_ls7e_ard_3-1-0_113075_2020-01-10_final
2020-01-10 11:19:40	ga_ls7e_ard_3-1-0_113076_2020-01-10_final
2020-01-10 11:20:04	ga_ls7e_ard_3-1-0_113077_2020-01-10_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