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
2015-08-24 11:35:30	ga_ls7e_ard_3-0-0_113067_2015-08-24_final
2015-08-26 11:26:20	ga_ls7e_ard_3-0-0_111075_2015-08-26_final
2015-08-26 11:26:44	ga_ls7e_ard_3-0-0_111076_2015-08-26_final
2015-08-26 11:27:08	ga_ls7e_ard_3-0-0_111077_2015-08-26_final
2015-08-26 11:27:32	ga_ls7e_ard_3-0-0_111078_2015-08-26_final
2015-08-26 11:27:56	ga_ls7e_ard_3-0-0_111079_2015-08-26_final
2015-08-26 11:28:20	ga_ls7e_ard_3-0-0_111080_2015-08-26_final
2015-08-26 11:28:43	ga_ls7e_ard_3-0-0_111081_2015-08-26_final
2015-09-11 11:26:23	ga_ls7e_ard_3-0-0_111075_2015-09-11_final
2015-09-11 11:26:47	ga_ls7e_ard_3-0-0_111076_2015-09-11_final
2015-09-11 11:27:11	ga_ls7e_ard_3-0-0_111077_2015-09-11_final
2015-09-11 11:27:35	ga_ls7e_ard_3-0-0_111078_2015-09-11_final
2015-09-11 11:27:59	ga_ls7e_ard_3-0-0_111079_2015-09-11_final
2015-09-11 11:28:23	ga_ls7e_ard_3-0-0_111080_2015-09-11_final
2015-09-11 11:28:47	ga_ls7e_ard_3-0-0_111081_2015-09-11_final
2015-09-13 11:17:38	ga_ls7e_ard_3-0-0_109084_2015-09-13_final
2015-09-27 11:26:27	ga_ls7e_ard_3-0-0_111075_2015-09-27_final
2015-09-27 11:26:51	ga_ls7e_ard_3-0-0_111076_2015-09-27_final
2015-09-27 11:27:15	ga_ls7e_ard_3-0-0_111077_2015-09-27_final
2015-09-27 11:27:39	ga_ls7e_ard_3-0-0_111078_2015-09-27_final
2015-09-27 11:28:03	ga_ls7e_ard_3-0-0_111079_2015-09-27_final
2015-09-27 11:28:27	ga_ls7e_ard_3-0-0_111080_2015-09-27_final
2015-09-27 11:28:51	ga_ls7e_ard_3-0-0_111081_2015-09-27_final
2015-10-13 11:26:39	ga_ls7e_ard_3-0-0_111075_2015-10-13_final
2015-10-13 11:27:02	ga_ls7e_ard_3-0-0_111076_2015-10-13_final
2015-10-13 11:27:26	ga_ls7e_ard_3-0-0_111077_2015-10-13_final
2015-10-13 11:27:50	ga_ls7e_ard_3-0-0_111078_2015-10-13_final
2015-10-13 11:28:14	ga_ls7e_ard_3-0-0_111079_2015-10-13_final
2015-10-13 11:28:38	ga_ls7e_ard_3-0-0_111080_2015-10-13_final
2015-10-13 11:29:02	ga_ls7e_ard_3-0-0_111081_2015-10-13_final
2015-10-15 11:17:31	ga_ls7e_ard_3-0-0_109083_2015-10-15_final
2015-10-15 11:17:55	ga_ls7e_ard_3-0-0_109084_2015-10-15_final
2015-11-30 11:27:23	ga_ls7e_ard_3-0-0_111075_2015-11-30_final
2015-11-30 11:27:47	ga_ls7e_ard_3-0-0_111076_2015-11-30_final
2015-11-30 11:28:11	ga_ls7e_ard_3-0-0_111077_2015-11-30_final
2015-11-30 11:28:35	ga_ls7e_ard_3-0-0_111078_2015-11-30_final
2015-11-30 11:28:59	ga_ls7e_ard_3-0-0_111079_2015-11-30_final
2015-11-30 11:29:23	ga_ls7e_ard_3-0-0_111080_2015-11-30_final
2015-12-02 11:18:14	ga_ls7e_ard_3-0-0_109083_2015-12-02_final
2015-12-02 11:18:38	ga_ls7e_ard_3-0-0_109084_2015-12-02_final
2016-03-14 11:24:23	ga_ls7e_ard_3-0-0_110080_2016-03-14_final
2016-03-14 11:24:47	ga_ls7e_ard_3-0-0_110081_2016-03-14_final
2016-03-14 11:25:11	ga_ls7e_ard_3-0-0_110082_2016-03-14_final
2016-03-14 11:25:35	ga_ls7e_ard_3-0-0_110083_2016-03-14_final
2016-03-14 11:25:59	ga_ls7e_ard_3-0-0_110084_2016-03-14_final
2016-03-19 11:37:46	ga_ls7e_ard_3-0-0_113067_2016-03-19_final
2016-03-21 11:28:37	ga_ls7e_ard_3-0-0_111075_2016-03-21_final
2016-03-21 11:29:01	ga_ls7e_ard_3-0-0_111076_2016-03-21_final
2016-03-21 11:29:25	ga_ls7e_ard_3-0-0_111077_2016-03-21_final
2016-03-21 11:29:48	ga_ls7e_ard_3-0-0_111078_2016-03-21_final
2016-03-21 11:30:12	ga_ls7e_ard_3-0-0_111079_2016-03-21_final
2016-03-21 11:30:36	ga_ls7e_ard_3-0-0_111080_2016-03-21_final
2016-03-21 11:31:00	ga_ls7e_ard_3-0-0_111081_2016-03-21_final
2019-06-25 11:21:31	ga_ls7e_ard_3-0-0_112074_2019-06-25_final
2019-06-25 11:21:55	ga_ls7e_ard_3-0-0_112075_2019-06-25_final
2019-06-25 11:22:19	ga_ls7e_ard_3-0-0_112076_2019-06-25_final
2019-06-25 11:22:43	ga_ls7e_ard_3-1-0_112077_2019-06-25_final
2019-06-27 11:11:28	ga_ls7e_ard_3-0-0_110080_2019-06-27_final
2019-06-27 11:11:52	ga_ls7e_ard_3-0-0_110081_2019-06-27_final
2019-06-27 11:12:16	ga_ls7e_ard_3-0-0_110082_2019-06-27_final
2019-06-27 11:12:40	ga_ls7e_ard_3-0-0_110083_2019-06-27_final
2019-06-27 11:13:04	ga_ls7e_ard_3-0-0_110084_2019-06-27_final
2019-07-09 11:30:33	ga_ls7e_ard_3-0-0_114067_2019-07-09_final
2019-08-26 11:28:35	ga_ls7e_ard_3-1-0_114067_2019-08-26_final
2019-08-28 11:18:56	ga_ls7e_ard_3-1-0_112074_2019-08-28_final
2019-08-28 11:19:20	ga_ls7e_ard_3-1-0_112075_2019-08-28_final
2019-08-28 11:19:44	ga_ls7e_ard_3-1-0_112076_2019-08-28_final
2019-08-28 11:20:08	ga_ls7e_ard_3-1-0_112077_2019-08-28_final
2019-08-30 11:08:53	ga_ls7e_ard_3-1-0_110080_2019-08-30_final
2019-08-30 11:09:17	ga_ls7e_ard_3-1-0_110081_2019-08-30_final
2019-08-30 11:10:29	ga_ls7e_ard_3-1-0_110084_2019-08-30_final
2019-09-11 11:27:54	ga_ls7e_ard_3-1-0_114067_2019-09-11_final
2019-09-13 11:18:14	ga_ls7e_ard_3-1-0_112074_2019-09-13_final
2019-09-13 11:18:38	ga_ls7e_ard_3-1-0_112075_2019-09-13_final
2019-09-13 11:19:02	ga_ls7e_ard_3-1-0_112076_2019-09-13_final
2019-09-13 11:19:26	ga_ls7e_ard_3-1-0_112077_2019-09-13_final
2019-09-20 11:21:19	ga_ls7e_ard_3-1-0_113067_2019-09-20_final
2019-09-22 11:12:27	ga_ls7e_ard_3-1-0_111076_2019-09-22_final
2019-09-22 11:12:51	ga_ls7e_ard_3-1-0_111077_2019-09-22_final
2019-09-22 11:13:15	ga_ls7e_ard_3-1-0_111078_2019-09-22_final
2019-09-22 11:13:39	ga_ls7e_ard_3-1-0_111079_2019-09-22_final
2019-09-22 11:14:03	ga_ls7e_ard_3-1-0_111080_2019-09-22_final
2019-09-22 11:14:27	ga_ls7e_ard_3-1-0_111081_2019-09-22_final
2019-09-24 11:03:12	ga_ls7e_ard_3-1-0_109084_2019-09-24_final
2019-10-06 11:20:38	ga_ls7e_ard_3-1-0_113067_2019-10-06_final
2019-11-07 11:19:15	ga_ls7e_ard_3-1-0_113067_2019-11-07_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
2019-12-04 11:04:37	ga_ls7e_ard_3-1-0_110080_2019-12-04_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
2019-12-11 11:08:52	ga_ls7e_ard_3-1-0_111076_2019-12-11_final
2019-12-11 11:09:39	ga_ls7e_ard_3-1-0_111078_2019-12-11_final
2019-12-11 11:10:03	ga_ls7e_ard_3-1-0_111079_2019-12-11_final
2019-12-11 11:10:27	ga_ls7e_ard_3-1-0_111080_2019-12-11_final
2019-12-11 11:10:51	ga_ls7e_ard_3-1-0_111081_2019-12-11_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