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
2016-03-28 11:34:25	ga_ls7e_ard_3-0-0_112074_2016-03-28_final
2016-03-28 11:34:49	ga_ls7e_ard_3-0-0_112075_2016-03-28_final
2016-03-28 11:35:13	ga_ls7e_ard_3-0-0_112076_2016-03-28_final
2016-03-28 11:35:37	ga_ls7e_ard_3-0-0_112077_2016-03-28_final
2016-03-28 11:36:01	ga_ls7e_ard_3-0-0_112078_2016-03-28_final
2016-04-15 11:24:58	ga_ls7e_ard_3-0-0_110081_2016-04-15_final
2016-04-15 11:25:22	ga_ls7e_ard_3-0-0_110082_2016-04-15_final
2016-06-09 11:29:49	ga_ls7e_ard_3-0-0_111077_2016-06-09_final
2016-06-09 11:30:13	ga_ls7e_ard_3-0-0_111078_2016-06-09_final
2016-06-09 11:30:37	ga_ls7e_ard_3-0-0_111079_2016-06-09_final
2016-06-09 11:31:01	ga_ls7e_ard_3-0-0_111080_2016-06-09_final
2016-06-09 11:31:25	ga_ls7e_ard_3-0-0_111081_2016-06-09_final
2016-06-09 11:31:49	ga_ls7e_ard_3-1-0_111082_2016-06-09_final
2016-06-09 11:32:13	ga_ls7e_ard_3-0-0_111083_2016-06-09_final
2016-07-11 11:29:50	ga_ls7e_ard_3-0-0_111077_2016-07-11_final
2016-07-11 11:30:14	ga_ls7e_ard_3-0-0_111078_2016-07-11_final
2016-07-11 11:30:38	ga_ls7e_ard_3-0-0_111079_2016-07-11_final
2016-07-11 11:31:02	ga_ls7e_ard_3-0-0_111080_2016-07-11_final
2016-07-11 11:31:26	ga_ls7e_ard_3-0-0_111081_2016-07-11_final
2016-07-11 11:31:50	ga_ls7e_ard_3-1-0_111082_2016-07-11_final
2016-07-11 11:32:14	ga_ls7e_ard_3-0-0_111083_2016-07-11_final
2016-10-22 11:34:59	ga_ls7e_ard_3-0-0_112074_2016-10-22_final
2016-10-22 11:35:23	ga_ls7e_ard_3-0-0_112075_2016-10-22_final
2016-10-22 11:35:47	ga_ls7e_ard_3-0-0_112076_2016-10-22_final
2016-10-22 11:36:11	ga_ls7e_ard_3-0-0_112077_2016-10-22_final
2016-10-22 11:36:35	ga_ls7e_ard_3-0-0_112078_2016-10-22_final
2019-11-16 11:15:27	ga_ls7e_ard_3-1-0_112074_2019-11-16_final
2019-11-16 11:15:51	ga_ls7e_ard_3-1-0_112075_2019-11-16_final
2019-11-16 11:16:15	ga_ls7e_ard_3-1-0_112076_2019-11-16_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
2019-11-18 11:05:48	ga_ls7e_ard_3-1-0_110081_2019-11-18_final
2019-11-18 11:06:12	ga_ls7e_ard_3-1-0_110082_2019-11-18_final
2019-11-18 11:06:35	ga_ls7e_ard_3-1-0_110083_2019-11-18_final
2019-11-18 11:06:59	ga_ls7e_ard_3-1-0_110084_2019-11-18_final
2019-11-30 11:24:21	ga_ls7e_ard_3-1-0_114067_2019-11-30_final
2019-12-02 11:14:41	ga_ls7e_ard_3-1-0_112074_2019-12-02_final
2019-12-02 11:15:05	ga_ls7e_ard_3-1-0_112075_2019-12-02_final
2019-12-02 11:15:29	ga_ls7e_ard_3-1-0_112076_2019-12-02_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
2019-12-04 11:05:01	ga_ls7e_ard_3-1-0_110081_2019-12-04_final
2019-12-04 11:05:25	ga_ls7e_ard_3-1-0_110082_2019-12-04_final
2019-12-04 11:05:49	ga_ls7e_ard_3-1-0_110083_2019-12-04_final
2019-12-04 11:06:13	ga_ls7e_ard_3-1-0_110084_2019-12-04_final
2019-12-16 11:23:33	ga_ls7e_ard_3-1-0_114067_2019-12-16_final
2019-12-18 11:13:53	ga_ls7e_ard_3-1-0_112074_2019-12-18_final
2019-12-18 11:14:17	ga_ls7e_ard_3-1-0_112075_2019-12-18_final
2019-12-18 11:14:41	ga_ls7e_ard_3-1-0_112076_2019-12-18_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
2019-12-20 11:04:13	ga_ls7e_ard_3-1-0_110081_2019-12-20_final
2019-12-20 11:04:37	ga_ls7e_ard_3-1-0_110082_2019-12-20_final
2019-12-20 11:05:01	ga_ls7e_ard_3-1-0_110083_2019-12-20_final
2019-12-20 11:05:25	ga_ls7e_ard_3-1-0_110084_2019-12-20_final
2020-12-20 10:51:36	ga_ls7e_ard_3-1-0_112074_2020-12-20_final
2020-12-20 10:51:59	ga_ls7e_ard_3-1-0_112075_2020-12-20_final
2020-12-20 10:52:23	ga_ls7e_ard_3-1-0_112076_2020-12-20_final
2020-12-20 10:52:47	ga_ls7e_ard_3-1-0_112077_2020-12-20_final
2020-12-20 10:53:11	ga_ls7e_ard_3-1-0_112078_2020-12-20_final
2020-12-20 10:53:35	ga_ls7e_ard_3-1-0_112079_2020-12-20_final
2021-01-03 11:00:11	ga_ls7e_ard_3-1-0_114067_2021-01-03_final
2021-01-05 10:50:28	ga_ls7e_ard_3-1-0_112074_2021-01-05_final
2021-01-05 10:50:52	ga_ls7e_ard_3-1-0_112075_2021-01-05_final
2021-01-05 10:51:16	ga_ls7e_ard_3-1-0_112076_2021-01-05_final
2021-01-05 10:51:40	ga_ls7e_ard_3-1-0_112077_2021-01-05_final
2021-01-05 10:52:04	ga_ls7e_ard_3-1-0_112078_2021-01-05_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-04 10:38:43	ga_ls7e_ard_3-2-0_111077_2021-04-04_final
2021-04-04 10:39:07	ga_ls7e_ard_3-2-0_111078_2021-04-04_final
2021-04-04 10:39:31	ga_ls7e_ard_3-2-0_111079_2021-04-04_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-04 10:40:19	ga_ls7e_ard_3-2-0_111081_2021-04-04_final
2021-04-04 10:40:43	ga_ls7e_ard_3-2-0_111082_2021-04-04_final
2021-04-04 10:41:07	ga_ls7e_ard_3-2-0_111083_2021-04-04_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-04-11 10:43:31	ga_ls7e_ard_3-2-0_112075_2021-04-11_final
2021-04-11 10:43:55	ga_ls7e_ard_3-2-0_112076_2021-04-11_final
2021-04-11 10:44:19	ga_ls7e_ard_3-2-0_112077_2021-04-11_final
2021-04-11 10:44:43	ga_ls7e_ard_3-2-0_112078_2021-04-11_final
2021-04-11 10:45:07	ga_ls7e_ard_3-2-0_112079_2021-04-11_final
2021-04-13 10:33:24	ga_ls7e_ard_3-2-0_110081_2021-04-13_final
2021-04-13 10:33:47	ga_ls7e_ard_3-2-0_110082_2021-04-13_final
2021-04-13 10:34:11	ga_ls7e_ard_3-2-0_110083_2021-04-13_final
2021-04-13 10:34:35	ga_ls7e_ard_3-2-0_110084_2021-04-13_final
2021-07-25 10:29:43	ga_ls7e_ard_3-2-0_111078_2021-07-25_final
2021-07-25 10:30:07	ga_ls7e_ard_3-2-0_111079_2021-07-25_final
2021-07-25 10:30:31	ga_ls7e_ard_3-2-0_111080_2021-07-25_final
2021-07-25 10:30:55	ga_ls7e_ard_3-2-0_111081_2021-07-25_final
2021-07-25 10:31:19	ga_ls7e_ard_3-2-0_111082_2021-07-25_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-07-30 10:43:26	ga_ls7e_ard_3-2-0_114067_2021-07-30_final
2021-08-08 10:39:15	ga_ls7e_ard_3-2-0_113074_2021-08-08_final
2021-08-10 10:27:54	ga_ls7e_ard_3-2-0_111077_2021-08-10_final
2021-08-10 10:28:18	ga_ls7e_ard_3-2-0_111078_2021-08-10_final
2021-08-10 10:28:42	ga_ls7e_ard_3-2-0_111079_2021-08-10_final
2021-08-10 10:29:06	ga_ls7e_ard_3-2-0_111080_2021-08-10_final
2021-08-10 10:29:30	ga_ls7e_ard_3-2-0_111081_2021-08-10_final
2022-04-05 10:15:49	ga_ls7e_ard_3-2-1_113072_2022-04-05_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