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
2010-04-22 11:18:41	ga_ls7e_ard_3-0-0_111075_2010-04-22_final
2010-04-22 11:19:05	ga_ls7e_ard_3-0-0_111076_2010-04-22_final
2010-04-22 11:19:29	ga_ls7e_ard_3-0-0_111077_2010-04-22_final
2010-04-22 11:19:53	ga_ls7e_ard_3-0-0_111078_2010-04-22_final
2010-04-24 11:09:31	ga_ls7e_ard_3-0-0_109083_2010-04-24_final
2010-04-24 11:09:55	ga_ls7e_ard_3-0-0_109084_2010-04-24_final
2010-05-06 11:27:49	ga_ls7e_ard_3-0-0_113067_2010-05-06_final
2010-05-13 11:33:58	ga_ls7e_ard_3-0-0_114067_2010-05-13_final
2010-05-15 11:24:47	ga_ls7e_ard_3-0-0_112075_2010-05-15_final
2010-05-15 11:25:11	ga_ls7e_ard_3-0-0_112076_2010-05-15_final
2010-05-15 11:25:35	ga_ls7e_ard_3-0-0_112077_2010-05-15_final
2010-06-02 11:14:26	ga_ls7e_ard_3-0-0_110080_2010-06-02_final
2010-06-02 11:14:50	ga_ls7e_ard_3-0-0_110081_2010-06-02_final
2010-07-20 11:14:31	ga_ls7e_ard_3-0-0_110080_2010-07-20_final
2010-07-20 11:14:55	ga_ls7e_ard_3-0-0_110081_2010-07-20_final
2010-07-20 11:15:19	ga_ls7e_ard_3-0-0_110082_2010-07-20_final
2010-07-20 11:15:43	ga_ls7e_ard_3-0-0_110083_2010-07-20_final
2010-07-20 11:16:07	ga_ls7e_ard_3-0-0_110084_2010-07-20_final
2010-09-13 11:18:46	ga_ls7e_ard_3-0-0_111075_2010-09-13_final
2010-09-13 11:19:10	ga_ls7e_ard_3-0-0_111076_2010-09-13_final
2010-09-13 11:19:34	ga_ls7e_ard_3-0-0_111077_2010-09-13_final
2010-09-13 11:19:58	ga_ls7e_ard_3-0-0_111078_2010-09-13_final
2010-09-13 11:20:22	ga_ls7e_ard_3-0-0_111079_2010-09-13_final
2010-09-13 11:20:46	ga_ls7e_ard_3-0-0_111080_2010-09-13_final
2010-09-13 11:21:10	ga_ls7e_ard_3-0-0_111081_2010-09-13_final
2010-09-15 11:09:36	ga_ls7e_ard_3-0-0_109083_2010-09-15_final
2010-09-15 11:10:00	ga_ls7e_ard_3-0-0_109084_2010-09-15_final
2013-09-03 11:31:10	ga_ls7e_ard_3-0-0_113067_2013-09-03_final
2013-09-05 11:22:01	ga_ls7e_ard_3-0-0_111075_2013-09-05_final
2013-09-05 11:22:25	ga_ls7e_ard_3-0-0_111076_2013-09-05_final
2013-09-05 11:22:49	ga_ls7e_ard_3-0-0_111077_2013-09-05_final
2013-09-05 11:24:01	ga_ls7e_ard_3-0-0_111080_2013-09-05_final
2013-09-05 11:24:25	ga_ls7e_ard_3-0-0_111081_2013-09-05_final
2013-11-10 11:13:29	ga_ls7e_ard_3-0-0_109083_2013-11-10_final
2013-11-10 11:13:53	ga_ls7e_ard_3-0-0_109084_2013-11-10_final
2018-01-31 11:24:24	ga_ls7e_ard_3-0-0_110081_2018-01-31_final
2018-01-31 11:24:48	ga_ls7e_ard_3-0-0_110082_2018-01-31_final
2018-01-31 11:25:12	ga_ls7e_ard_3-0-0_110083_2018-01-31_final
2018-01-31 11:25:36	ga_ls7e_ard_3-0-0_110084_2018-01-31_final
2018-02-05 11:37:17	ga_ls7e_ard_3-0-0_113067_2018-02-05_final
2018-02-07 11:28:04	ga_ls7e_ard_3-0-0_111075_2018-02-07_final
2018-02-07 11:28:28	ga_ls7e_ard_3-0-0_111076_2018-02-07_final
2018-02-07 11:28:52	ga_ls7e_ard_3-0-0_111077_2018-02-07_final
2018-02-07 11:29:16	ga_ls7e_ard_3-0-0_111078_2018-02-07_final
2018-02-07 11:29:40	ga_ls7e_ard_3-0-0_111079_2018-02-07_final
2018-02-07 11:30:04	ga_ls7e_ard_3-0-0_111080_2018-02-07_final
2018-02-07 11:30:28	ga_ls7e_ard_3-0-0_111081_2018-02-07_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
2018-04-14 11:18:05	ga_ls7e_ard_3-0-0_109083_2018-04-14_final
2019-02-15 11:35:40	ga_ls7e_ard_3-0-0_114067_2019-02-15_final
2019-02-17 11:26:02	ga_ls7e_ard_3-1-0_112074_2019-02-17_final
2019-02-17 11:26:26	ga_ls7e_ard_3-1-0_112075_2019-02-17_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-17 11:27:14	ga_ls7e_ard_3-1-0_112077_2019-02-17_final
2019-02-19 11:16:01	ga_ls7e_ard_3-1-0_110080_2019-02-19_final
2019-02-19 11:16:25	ga_ls7e_ard_3-1-0_110081_2019-02-19_final
2019-02-19 11:16:49	ga_ls7e_ard_3-1-0_110082_2019-02-19_final
2019-02-19 11:17:13	ga_ls7e_ard_3-1-0_110083_2019-02-19_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-06-09 11:22:06	ga_ls7e_ard_3-0-0_112074_2019-06-09_final
2019-06-09 11:22:30	ga_ls7e_ard_3-0-0_112075_2019-06-09_final
2019-06-09 11:22:54	ga_ls7e_ard_3-0-0_112076_2019-06-09_final
2019-06-09 11:23:18	ga_ls7e_ard_3-0-0_112077_2019-06-09_final
2019-06-11 11:12:04	ga_ls7e_ard_3-0-0_110080_2019-06-11_final
2019-06-11 11:12:28	ga_ls7e_ard_3-0-0_110081_2019-06-11_final
2019-06-11 11:12:52	ga_ls7e_ard_3-0-0_110082_2019-06-11_final
2019-06-11 11:13:16	ga_ls7e_ard_3-0-0_110083_2019-06-11_final
2019-06-11 11:13:40	ga_ls7e_ard_3-0-0_110084_2019-06-11_final
2019-09-06 11:12:46	ga_ls7e_ard_3-1-0_111075_2019-09-06_final
2019-09-06 11:13:10	ga_ls7e_ard_3-1-0_111076_2019-09-06_final
2019-09-06 11:13:34	ga_ls7e_ard_3-1-0_111077_2019-09-06_final
2019-09-06 11:13:58	ga_ls7e_ard_3-1-0_111078_2019-09-06_final
2019-09-06 11:14:22	ga_ls7e_ard_3-1-0_111079_2019-09-06_final
2019-09-06 11:14:46	ga_ls7e_ard_3-1-0_111080_2019-09-06_final
2019-09-06 11:15:09	ga_ls7e_ard_3-1-0_111081_2019-09-06_final
2019-09-08 11:03:54	ga_ls7e_ard_3-1-0_109084_2019-09-08_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
2019-11-18 11:05:24	ga_ls7e_ard_3-1-0_110080_2019-11-18_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
2020-01-01 11:22:44	ga_ls7e_ard_3-1-0_114067_2020-01-01_final
2020-01-03 11:13:03	ga_ls7e_ard_3-1-0_112074_2020-01-03_final
2020-01-03 11:13:27	ga_ls7e_ard_3-1-0_112075_2020-01-03_final
2020-01-03 11:13:51	ga_ls7e_ard_3-1-0_112076_2020-01-03_final
2020-01-03 11:14:15	ga_ls7e_ard_3-1-0_112077_2020-01-03_final
2020-01-05 11:02:59	ga_ls7e_ard_3-1-0_110080_2020-01-05_final
2020-01-05 11:03:23	ga_ls7e_ard_3-1-0_110081_2020-01-05_final
2020-01-05 11:03:47	ga_ls7e_ard_3-1-0_110082_2020-01-05_final
2020-01-05 11:04:11	ga_ls7e_ard_3-1-0_110083_2020-01-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years