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
2017-10-11 11:24:55	ga_ls7e_ard_3-0-0_110080_2017-10-11_final
2017-10-11 11:25:19	ga_ls7e_ard_3-0-0_110081_2017-10-11_final
2017-10-11 11:25:43	ga_ls7e_ard_3-0-0_110082_2017-10-11_final
2017-11-01 11:38:17	ga_ls7e_ard_3-0-0_113067_2017-11-01_final
2017-11-19 11:29:03	ga_ls7e_ard_3-0-0_111075_2017-11-19_final
2017-11-19 11:29:27	ga_ls7e_ard_3-0-0_111076_2017-11-19_final
2017-11-19 11:29:51	ga_ls7e_ard_3-0-0_111077_2017-11-19_final
2017-11-19 11:30:15	ga_ls7e_ard_3-0-0_111078_2017-11-19_final
2017-11-19 11:30:39	ga_ls7e_ard_3-0-0_111079_2017-11-19_final
2017-11-19 11:31:03	ga_ls7e_ard_3-0-0_111080_2017-11-19_final
2017-11-19 11:31:27	ga_ls7e_ard_3-0-0_111081_2017-11-19_final
2017-12-12 11:34:40	ga_ls7e_ard_3-0-0_112074_2017-12-12_final
2017-12-12 11:35:04	ga_ls7e_ard_3-0-0_112075_2017-12-12_final
2017-12-12 11:35:28	ga_ls7e_ard_3-0-0_112076_2017-12-12_final
2017-12-12 11:35:52	ga_ls7e_ard_3-1-0_112077_2017-12-12_final
2018-01-15 11:24:16	ga_ls7e_ard_3-0-0_110080_2018-01-15_final
2018-01-15 11:24:40	ga_ls7e_ard_3-0-0_110081_2018-01-15_final
2018-04-26 11:36:12	ga_ls7e_ard_3-0-0_113067_2018-04-26_final
2018-06-22 11:31:51	ga_ls7e_ard_3-0-0_112074_2018-06-22_final
2018-06-22 11:32:14	ga_ls7e_ard_3-0-0_112075_2018-06-22_final
2018-06-22 11:32:38	ga_ls7e_ard_3-0-0_112076_2018-06-22_final
2018-06-22 11:33:02	ga_ls7e_ard_3-0-0_112077_2018-06-22_final
2018-06-24 11:21:50	ga_ls7e_ard_3-0-0_110080_2018-06-24_final
2018-06-24 11:22:14	ga_ls7e_ard_3-0-0_110081_2018-06-24_final
2018-06-24 11:22:38	ga_ls7e_ard_3-0-0_110082_2018-06-24_final
2018-06-24 11:23:02	ga_ls7e_ard_3-0-0_110083_2018-06-24_final
2018-06-24 11:23:26	ga_ls7e_ard_3-0-0_110084_2018-06-24_final
2018-07-10 11:21:30	ga_ls7e_ard_3-0-0_110080_2018-07-10_final
2018-07-10 11:21:54	ga_ls7e_ard_3-0-0_110081_2018-07-10_final
2018-07-10 11:22:18	ga_ls7e_ard_3-0-0_110082_2018-07-10_final
2018-07-10 11:22:42	ga_ls7e_ard_3-0-0_110083_2018-07-10_final
2018-07-10 11:23:06	ga_ls7e_ard_3-0-0_110084_2018-07-10_final
2019-07-09 11:30:33	ga_ls7e_ard_3-0-0_114067_2019-07-09_final
2020-08-21 11:03:13	ga_ls7e_ard_3-1-0_113067_2020-08-21_final
2020-08-23 10:54:19	ga_ls7e_ard_3-1-0_111076_2020-08-23_final
2020-08-23 10:54:43	ga_ls7e_ard_3-1-0_111077_2020-08-23_final
2020-08-23 10:55:06	ga_ls7e_ard_3-1-0_111078_2020-08-23_final
2020-08-23 10:55:30	ga_ls7e_ard_3-1-0_111079_2020-08-23_final
2020-08-23 10:55:54	ga_ls7e_ard_3-1-0_111080_2020-08-23_final
2020-08-23 10:56:18	ga_ls7e_ard_3-1-0_111081_2020-08-23_final
2020-08-25 10:45:01	ga_ls7e_ard_3-1-0_109084_2020-08-25_final
2020-09-22 11:01:06	ga_ls7e_ard_3-1-0_113067_2020-09-22_final
2020-10-26 10:50:09	ga_ls7e_ard_3-1-0_111076_2020-10-26_final
2020-10-26 10:50:33	ga_ls7e_ard_3-1-0_111077_2020-10-26_final
2020-10-26 10:50:56	ga_ls7e_ard_3-1-0_111078_2020-10-26_final
2020-10-26 10:51:20	ga_ls7e_ard_3-1-0_111079_2020-10-26_final
2020-10-26 10:51:44	ga_ls7e_ard_3-1-0_111080_2020-10-26_final
2020-10-26 10:52:08	ga_ls7e_ard_3-1-0_111081_2020-10-26_final
2020-10-26 10:52:32	ga_ls7e_ard_3-1-0_111082_2020-10-26_final
2020-10-28 10:40:51	ga_ls7e_ard_3-1-0_109084_2020-10-28_final
2020-11-02 10:55:03	ga_ls7e_ard_3-1-0_112074_2020-11-02_final
2020-11-02 10:55:27	ga_ls7e_ard_3-1-0_112075_2020-11-02_final
2020-11-02 10:55:51	ga_ls7e_ard_3-1-0_112076_2020-11-02_final
2020-11-02 10:56:15	ga_ls7e_ard_3-1-0_112077_2020-11-02_final
2020-11-16 11:03:40	ga_ls7e_ard_3-1-0_114067_2020-11-16_final
2020-11-29 10:38:37	ga_ls7e_ard_3-1-0_109084_2020-11-29_final
2020-12-04 10:52:48	ga_ls7e_ard_3-1-0_112074_2020-12-04_final
2020-12-04 10:53:12	ga_ls7e_ard_3-1-0_112075_2020-12-04_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-04 10:54:00	ga_ls7e_ard_3-1-0_112077_2020-12-04_final
2020-12-06 10:42:41	ga_ls7e_ard_3-1-0_110080_2020-12-06_final
2020-12-06 10:43:05	ga_ls7e_ard_3-1-0_110081_2020-12-06_final
2020-12-06 10:43:29	ga_ls7e_ard_3-1-0_110082_2020-12-06_final
2020-12-06 10:43:53	ga_ls7e_ard_3-1-0_110083_2020-12-06_final
2020-12-11 10:55:40	ga_ls7e_ard_3-1-0_113067_2020-12-11_final
2020-12-13 10:46:45	ga_ls7e_ard_3-1-0_111076_2020-12-13_final
2020-12-13 10:47:09	ga_ls7e_ard_3-1-0_111077_2020-12-13_final
2020-12-13 10:47:33	ga_ls7e_ard_3-1-0_111078_2020-12-13_final
2020-12-13 10:47:57	ga_ls7e_ard_3-1-0_111079_2020-12-13_final
2020-12-13 10:48:21	ga_ls7e_ard_3-1-0_111080_2020-12-13_final
2020-12-13 10:48:44	ga_ls7e_ard_3-1-0_111081_2020-12-13_final
2020-12-18 11:01:19	ga_ls7e_ard_3-1-0_114067_2020-12-18_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
2021-01-12 10:53:22	ga_ls7e_ard_3-1-0_113067_2021-01-12_final
2021-01-14 10:44:28	ga_ls7e_ard_3-1-0_111076_2021-01-14_final
2021-01-14 10:44:51	ga_ls7e_ard_3-1-0_111077_2021-01-14_final
2021-01-14 10:45:15	ga_ls7e_ard_3-1-0_111078_2021-01-14_final
2021-01-14 10:45:39	ga_ls7e_ard_3-1-0_111079_2021-01-14_final
2021-01-14 10:46:03	ga_ls7e_ard_3-1-0_111080_2021-01-14_final
2021-01-14 10:46:27	ga_ls7e_ard_3-1-0_111081_2021-01-14_final
2021-01-14 10:46:51	ga_ls7e_ard_3-1-0_111082_2021-01-14_final
2021-01-16 10:35:09	ga_ls7e_ard_3-1-0_109084_2021-01-16_final
2021-01-21 10:49:20	ga_ls7e_ard_3-2-0_112074_2021-01-21_final
2021-01-21 10:49:44	ga_ls7e_ard_3-2-0_112075_2021-01-21_final
2021-01-21 10:50:08	ga_ls7e_ard_3-2-0_112076_2021-01-21_final
2021-01-21 10:50:32	ga_ls7e_ard_3-2-0_112077_2021-01-21_final
2021-01-23 10:39:14	ga_ls7e_ard_3-2-0_110080_2021-01-23_final
2021-01-23 10:39:38	ga_ls7e_ard_3-2-0_110081_2021-01-23_final
2021-01-23 10:40:02	ga_ls7e_ard_3-2-0_110082_2021-01-23_final
2021-01-23 10:40:26	ga_ls7e_ard_3-2-0_110083_2021-01-23_final
2021-01-23 10:40:50	ga_ls7e_ard_3-2-0_110084_2021-01-23_final
2021-01-30 10:43:42	ga_ls7e_ard_3-2-0_111077_2021-01-30_final
2021-01-30 10:44:06	ga_ls7e_ard_3-2-0_111078_2021-01-30_final
2021-01-30 10:44:30	ga_ls7e_ard_3-2-0_111079_2021-01-30_final
2021-01-30 10:44:54	ga_ls7e_ard_3-2-0_111080_2021-01-30_final
2021-01-30 10:45:18	ga_ls7e_ard_3-2-0_111081_2021-01-30_final
2021-01-30 10:45:42	ga_ls7e_ard_3-2-0_111082_2021-01-30_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