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
2017-12-19 11:37:59	ga_ls7e_ard_3-0-0_113067_2017-12-19_final
2017-12-21 11:28:47	ga_ls7e_ard_3-0-0_111075_2017-12-21_final
2017-12-21 11:29:11	ga_ls7e_ard_3-0-0_111076_2017-12-21_final
2017-12-21 11:29:35	ga_ls7e_ard_3-0-0_111077_2017-12-21_final
2017-12-21 11:29:59	ga_ls7e_ard_3-0-0_111078_2017-12-21_final
2017-12-21 11:30:23	ga_ls7e_ard_3-0-0_111079_2017-12-21_final
2017-12-21 11:30:47	ga_ls7e_ard_3-0-0_111080_2017-12-21_final
2017-12-21 11:31:11	ga_ls7e_ard_3-0-0_111081_2017-12-21_final
2018-04-01 11:42:48	ga_ls7e_ard_3-0-0_114067_2018-04-01_final
2018-04-03 11:33:12	ga_ls7e_ard_3-1-0_112074_2018-04-03_final
2018-04-03 11:33:36	ga_ls7e_ard_3-0-0_112075_2018-04-03_final
2018-04-03 11:34:00	ga_ls7e_ard_3-0-0_112076_2018-04-03_final
2018-04-03 11:34:24	ga_ls7e_ard_3-0-0_112077_2018-04-03_final
2018-04-10 11:36:29	ga_ls7e_ard_3-0-0_113067_2018-04-10_final
2018-04-12 11:27:17	ga_ls7e_ard_3-0-0_111075_2018-04-12_final
2018-04-12 11:27:41	ga_ls7e_ard_3-0-0_111076_2018-04-12_final
2018-04-12 11:28:05	ga_ls7e_ard_3-0-0_111077_2018-04-12_final
2018-04-12 11:28:29	ga_ls7e_ard_3-0-0_111078_2018-04-12_final
2018-04-12 11:28:53	ga_ls7e_ard_3-0-0_111079_2018-04-12_final
2018-04-12 11:29:16	ga_ls7e_ard_3-0-0_111080_2018-04-12_final
2018-04-12 11:29:40	ga_ls7e_ard_3-0-0_111081_2018-04-12_final
2018-04-19 11:32:57	ga_ls7e_ard_3-0-0_112074_2018-04-19_final
2018-04-19 11:33:21	ga_ls7e_ard_3-0-0_112075_2018-04-19_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
2018-04-21 11:22:56	ga_ls7e_ard_3-0-0_110080_2018-04-21_final
2018-04-21 11:23:20	ga_ls7e_ard_3-0-0_110081_2018-04-21_final
2018-04-21 11:23:44	ga_ls7e_ard_3-0-0_110082_2018-04-21_final
2018-04-21 11:24:08	ga_ls7e_ard_3-0-0_110083_2018-04-21_final
2018-04-21 11:24:32	ga_ls7e_ard_3-0-0_110084_2018-04-21_final
2018-04-28 11:27:24	ga_ls7e_ard_3-0-0_111076_2018-04-28_final
2018-04-28 11:27:48	ga_ls7e_ard_3-0-0_111077_2018-04-28_final
2018-04-28 11:28:12	ga_ls7e_ard_3-0-0_111078_2018-04-28_final
2018-04-28 11:28:36	ga_ls7e_ard_3-0-0_111079_2018-04-28_final
2018-04-28 11:29:00	ga_ls7e_ard_3-0-0_111080_2018-04-28_final
2018-04-28 11:29:24	ga_ls7e_ard_3-0-0_111081_2018-04-28_final
2018-04-30 11:18:12	ga_ls7e_ard_3-0-0_109084_2018-04-30_final
2018-05-12 11:35:55	ga_ls7e_ard_3-0-0_113067_2018-05-12_final
2018-05-19 11:42:00	ga_ls7e_ard_3-0-0_114067_2018-05-19_final
2018-05-21 11:32:24	ga_ls7e_ard_3-0-0_112074_2018-05-21_final
2018-05-21 11:32:48	ga_ls7e_ard_3-0-0_112075_2018-05-21_final
2018-05-21 11:33:12	ga_ls7e_ard_3-0-0_112076_2018-05-21_final
2018-05-21 11:33:36	ga_ls7e_ard_3-0-0_112077_2018-05-21_final
2018-05-23 11:22:24	ga_ls7e_ard_3-0-0_110080_2018-05-23_final
2018-05-23 11:22:48	ga_ls7e_ard_3-0-0_110081_2018-05-23_final
2018-05-23 11:23:12	ga_ls7e_ard_3-0-0_110082_2018-05-23_final
2018-05-23 11:23:36	ga_ls7e_ard_3-0-0_110083_2018-05-23_final
2018-05-23 11:24:00	ga_ls7e_ard_3-0-0_110084_2018-05-23_final
2018-06-15 11:26:12	ga_ls7e_ard_3-0-0_111075_2018-06-15_final
2018-06-15 11:26:36	ga_ls7e_ard_3-0-0_111076_2018-06-15_final
2018-06-15 11:26:59	ga_ls7e_ard_3-0-0_111077_2018-06-15_final
2018-06-15 11:27:23	ga_ls7e_ard_3-0-0_111078_2018-06-15_final
2018-06-15 11:27:47	ga_ls7e_ard_3-0-0_111079_2018-06-15_final
2018-06-15 11:28:11	ga_ls7e_ard_3-0-0_111080_2018-06-15_final
2018-06-15 11:28:35	ga_ls7e_ard_3-0-0_111081_2018-06-15_final
2018-06-17 11:17:23	ga_ls7e_ard_3-0-0_109084_2018-06-17_final
2018-07-01 11:26:17	ga_ls7e_ard_3-0-0_111076_2018-07-01_final
2018-07-01 11:26:41	ga_ls7e_ard_3-0-0_111077_2018-07-01_final
2018-07-01 11:27:05	ga_ls7e_ard_3-0-0_111078_2018-07-01_final
2018-07-01 11:27:29	ga_ls7e_ard_3-0-0_111079_2018-07-01_final
2018-07-01 11:27:53	ga_ls7e_ard_3-0-0_111080_2018-07-01_final
2018-07-01 11:28:17	ga_ls7e_ard_3-0-0_111081_2018-07-01_final
2018-07-03 11:17:04	ga_ls7e_ard_3-0-0_109084_2018-07-03_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2018-08-25 11:30:38	ga_ls7e_ard_3-0-0_112074_2018-08-25_final
2018-08-25 11:31:02	ga_ls7e_ard_3-0-0_112075_2018-08-25_final
2018-08-25 11:31:26	ga_ls7e_ard_3-0-0_112076_2018-08-25_final
2018-08-25 11:31:50	ga_ls7e_ard_3-1-0_112077_2018-08-25_final
2018-08-27 11:20:38	ga_ls7e_ard_3-0-0_110080_2018-08-27_final
2018-08-27 11:21:02	ga_ls7e_ard_3-0-0_110081_2018-08-27_final
2018-08-27 11:21:26	ga_ls7e_ard_3-0-0_110082_2018-08-27_final
2018-08-27 11:21:50	ga_ls7e_ard_3-0-0_110083_2018-08-27_final
2018-08-27 11:22:14	ga_ls7e_ard_3-0-0_110084_2018-08-27_final
2019-07-04 11:15:47	ga_ls7e_ard_3-0-0_111076_2019-07-04_final
2019-07-04 11:16:11	ga_ls7e_ard_3-0-0_111077_2019-07-04_final
2019-07-04 11:16:35	ga_ls7e_ard_3-0-0_111078_2019-07-04_final
2019-07-04 11:16:59	ga_ls7e_ard_3-0-0_111079_2019-07-04_final
2019-07-04 11:17:23	ga_ls7e_ard_3-0-0_111080_2019-07-04_final
2019-07-04 11:17:47	ga_ls7e_ard_3-0-0_111081_2019-07-04_final
2019-07-20 11:15:10	ga_ls7e_ard_3-0-0_111076_2019-07-20_final
2019-07-20 11:15:34	ga_ls7e_ard_3-0-0_111077_2019-07-20_final
2019-07-20 11:15:58	ga_ls7e_ard_3-0-0_111078_2019-07-20_final
2019-07-20 11:16:22	ga_ls7e_ard_3-0-0_111079_2019-07-20_final
2019-07-20 11:16:46	ga_ls7e_ard_3-0-0_111080_2019-07-20_final
2019-07-20 11:17:10	ga_ls7e_ard_3-0-0_111081_2019-07-20_final
2019-12-09 11:17:44	ga_ls7e_ard_3-1-0_113067_2019-12-09_final
2019-12-27 11:08:02	ga_ls7e_ard_3-1-0_111076_2019-12-27_final
2019-12-27 11:08:26	ga_ls7e_ard_3-1-0_111077_2019-12-27_final
2019-12-27 11:08:50	ga_ls7e_ard_3-1-0_111078_2019-12-27_final
2019-12-27 11:09:14	ga_ls7e_ard_3-1-0_111079_2019-12-27_final
2019-12-27 11:09:38	ga_ls7e_ard_3-1-0_111080_2019-12-27_final
2019-12-27 11:10:02	ga_ls7e_ard_3-1-0_111081_2019-12-27_final
2020-01-19 11:12:15	ga_ls7e_ard_3-1-0_112074_2020-01-19_final
2020-01-19 11:12:39	ga_ls7e_ard_3-1-0_112075_2020-01-19_final
2020-01-19 11:13:03	ga_ls7e_ard_3-1-0_112076_2020-01-19_final
2020-01-19 11:13:27	ga_ls7e_ard_3-1-0_112077_2020-01-19_final
2020-01-28 11:06:26	ga_ls7e_ard_3-1-0_111076_2020-01-28_final
2020-01-28 11:06:50	ga_ls7e_ard_3-1-0_111077_2020-01-28_final
2020-01-28 11:07:14	ga_ls7e_ard_3-1-0_111078_2020-01-28_final
2020-01-30 10:57:10	ga_ls7e_ard_3-1-0_109084_2020-01-30_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