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
2009-09-14 09:13:50	ga_ls7e_ard_3-0-0_091077_2009-09-13_final
2009-09-14 09:14:14	ga_ls7e_ard_3-0-0_091078_2009-09-13_final
2009-09-14 09:14:38	ga_ls7e_ard_3-0-0_091079_2009-09-13_final
2009-09-14 09:15:02	ga_ls7e_ard_3-0-0_091080_2009-09-13_final
2009-09-14 09:15:26	ga_ls7e_ard_3-0-0_091081_2009-09-13_final
2009-09-14 09:15:50	ga_ls7e_ard_3-0-0_091082_2009-09-13_final
2009-09-16 09:04:16	ga_ls7e_ard_3-0-0_089084_2009-09-15_final
2009-09-16 09:04:40	ga_ls7e_ard_3-0-0_089085_2009-09-15_final
2009-09-16 09:05:04	ga_ls7e_ard_3-0-0_089086_2009-09-15_final
2009-09-16 09:06:16	ga_ls7e_ard_3-1-0_089089_2009-09-15_final
2009-09-16 09:06:40	ga_ls7e_ard_3-0-0_089090_2009-09-15_final
2009-09-19 09:28:23	ga_ls7e_ard_3-1-0_094067_2009-09-18_final
2009-09-21 09:19:12	ga_ls7e_ard_3-0-0_092075_2009-09-20_final
2009-09-23 09:09:14	ga_ls7e_ard_3-0-0_090081_2009-09-22_final
2009-09-23 09:10:50	ga_ls7e_ard_3-1-0_090085_2009-09-22_final
2011-12-23 09:25:58	ga_ls7e_ard_3-0-0_093067_2011-12-22_final
2011-12-25 09:17:37	ga_ls7e_ard_3-0-0_091077_2011-12-24_final
2011-12-25 09:18:01	ga_ls7e_ard_3-0-0_091078_2011-12-24_final
2011-12-25 09:18:25	ga_ls7e_ard_3-0-0_091079_2011-12-24_final
2011-12-25 09:18:49	ga_ls7e_ard_3-0-0_091080_2011-12-24_final
2011-12-25 09:19:13	ga_ls7e_ard_3-0-0_091081_2011-12-24_final
2011-12-25 09:19:37	ga_ls7e_ard_3-0-0_091082_2011-12-24_final
2012-01-10 09:17:42	ga_ls7e_ard_3-0-0_091077_2012-01-09_final
2012-01-10 09:18:06	ga_ls7e_ard_3-0-0_091078_2012-01-09_final
2012-01-10 09:18:30	ga_ls7e_ard_3-0-0_091079_2012-01-09_final
2012-01-10 09:18:54	ga_ls7e_ard_3-0-0_091080_2012-01-09_final
2012-01-10 09:19:18	ga_ls7e_ard_3-0-0_091081_2012-01-09_final
2012-01-10 09:19:42	ga_ls7e_ard_3-0-0_091082_2012-01-09_final
2012-02-25 09:26:11	ga_ls7e_ard_3-0-0_093067_2012-02-24_final
2013-08-08 09:18:53	ga_ls7e_ard_3-0-0_091077_2013-08-07_final
2013-08-08 09:19:17	ga_ls7e_ard_3-0-0_091078_2013-08-07_final
2013-08-08 09:19:41	ga_ls7e_ard_3-0-0_091079_2013-08-07_final
2013-08-08 09:20:05	ga_ls7e_ard_3-0-0_091080_2013-08-07_final
2013-08-08 09:20:29	ga_ls7e_ard_3-0-0_091081_2013-08-07_final
2013-08-10 09:09:19	ga_ls7e_ard_3-0-0_089084_2013-08-09_final
2013-08-10 09:09:43	ga_ls7e_ard_3-0-0_089085_2013-08-09_final
2013-08-10 09:10:07	ga_ls7e_ard_3-0-0_089086_2013-08-09_final
2013-08-10 09:11:18	ga_ls7e_ard_3-0-0_089089_2013-08-09_final
2013-08-10 09:11:42	ga_ls7e_ard_3-0-0_089090_2013-08-09_final
2013-09-11 09:09:43	ga_ls7e_ard_3-0-0_089084_2013-09-10_final
2013-09-11 09:10:07	ga_ls7e_ard_3-0-0_089085_2013-09-10_final
2013-09-11 09:10:31	ga_ls7e_ard_3-0-0_089086_2013-09-10_final
2013-09-11 09:11:43	ga_ls7e_ard_3-0-0_089089_2013-09-10_final
2013-09-11 09:12:07	ga_ls7e_ard_3-0-0_089090_2013-09-10_final
2013-09-14 09:33:52	ga_ls7e_ard_3-1-0_094067_2013-09-14_final
2013-09-27 09:09:52	ga_ls7e_ard_3-0-0_089084_2013-09-26_final
2013-09-27 09:10:16	ga_ls7e_ard_3-0-0_089085_2013-09-26_final
2013-09-27 09:10:40	ga_ls7e_ard_3-0-0_089086_2013-09-26_final
2013-09-27 09:11:52	ga_ls7e_ard_3-0-0_089089_2013-09-26_final
2013-09-27 09:12:16	ga_ls7e_ard_3-0-0_089090_2013-09-26_final
2013-10-29 09:12:11	ga_ls7e_ard_3-1-0_089089_2013-10-28_final
2013-10-29 09:12:34	ga_ls7e_ard_3-0-0_089090_2013-10-28_final
2013-11-01 09:34:18	ga_ls7e_ard_3-1-0_094067_2013-11-01_final
2019-05-07 09:05:34	ga_ls7e_ard_3-0-0_089085_2019-05-06_final
2019-05-07 09:05:58	ga_ls7e_ard_3-0-0_089086_2019-05-06_final
2019-05-10 09:29:10	ga_ls7e_ard_3-1-0_094067_2019-05-09_final
2019-05-12 09:19:56	ga_ls7e_ard_3-0-0_092075_2019-05-11_final
2019-05-12 09:20:20	ga_ls7e_ard_3-0-0_092076_2019-05-11_final
2019-05-12 09:20:43	ga_ls7e_ard_3-0-0_092077_2019-05-11_final
2019-05-12 09:21:07	ga_ls7e_ard_3-0-0_092078_2019-05-11_final
2019-06-27 09:27:24	ga_ls7e_ard_3-1-0_094067_2019-06-26_final
2019-07-17 09:07:30	ga_ls7e_ard_3-0-0_090081_2019-07-16_final
2019-07-17 09:07:54	ga_ls7e_ard_3-1-0_090082_2019-07-16_final
2019-07-17 09:08:18	ga_ls7e_ard_3-0-0_090083_2019-07-16_final
2019-07-17 09:08:42	ga_ls7e_ard_3-0-0_090084_2019-07-16_final
2019-07-17 09:09:06	ga_ls7e_ard_3-1-0_090085_2019-07-16_final
2019-07-17 09:09:29	ga_ls7e_ard_3-0-0_090086_2019-07-16_final
2019-07-24 09:11:48	ga_ls7e_ard_3-0-0_091077_2019-07-23_final
2019-07-24 09:12:12	ga_ls7e_ard_3-0-0_091078_2019-07-23_final
2019-07-24 09:12:36	ga_ls7e_ard_3-0-0_091079_2019-07-23_final
2019-07-24 09:13:00	ga_ls7e_ard_3-0-0_091080_2019-07-23_final
2019-07-24 09:13:24	ga_ls7e_ard_3-0-0_091081_2019-07-23_final
2019-07-24 09:13:48	ga_ls7e_ard_3-0-0_091082_2019-07-23_final
2019-07-24 09:14:12	ga_ls7e_ard_3-0-0_091083_2019-07-23_final
2019-07-26 09:02:33	ga_ls7e_ard_3-0-0_089085_2019-07-25_final
2019-07-26 09:02:57	ga_ls7e_ard_3-0-0_089086_2019-07-25_final
2019-07-29 09:26:09	ga_ls7e_ard_3-1-0_094067_2019-07-28_final
2019-08-25 09:10:29	ga_ls7e_ard_3-1-0_091077_2019-08-24_final
2019-08-25 09:10:53	ga_ls7e_ard_3-1-0_091078_2019-08-24_final
2019-08-25 09:11:17	ga_ls7e_ard_3-1-0_091079_2019-08-24_final
2019-08-25 09:11:41	ga_ls7e_ard_3-1-0_091080_2019-08-24_final
2019-08-25 09:12:04	ga_ls7e_ard_3-1-0_091081_2019-08-24_final
2019-08-25 09:12:28	ga_ls7e_ard_3-1-0_091082_2019-08-24_final
2019-08-25 09:12:52	ga_ls7e_ard_3-1-0_091083_2019-08-24_final
2019-08-27 09:01:14	ga_ls7e_ard_3-1-0_089085_2019-08-26_final
2019-08-27 09:01:38	ga_ls7e_ard_3-1-0_089086_2019-08-26_final
2019-09-26 09:09:52	ga_ls7e_ard_3-1-0_091079_2019-09-25_final
2019-09-26 09:10:16	ga_ls7e_ard_3-1-0_091080_2019-09-25_final
2019-09-26 09:10:40	ga_ls7e_ard_3-1-0_091081_2019-09-25_final
2019-09-26 09:11:04	ga_ls7e_ard_3-1-0_091082_2019-09-25_final
2019-09-26 09:11:28	ga_ls7e_ard_3-1-0_091083_2019-09-25_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-09-28 09:00:14	ga_ls7e_ard_3-1-0_089086_2019-09-27_final
2019-10-03 09:14:10	ga_ls7e_ard_3-1-0_092075_2019-10-02_final
2019-10-03 09:14:34	ga_ls7e_ard_3-1-0_092076_2019-10-02_final
2019-10-03 09:14:58	ga_ls7e_ard_3-1-0_092077_2019-10-02_final
2019-10-03 09:15:22	ga_ls7e_ard_3-1-0_092078_2019-10-02_final
2019-10-05 09:04:08	ga_ls7e_ard_3-1-0_090081_2019-10-04_final
2019-10-05 09:05:43	ga_ls7e_ard_3-1-0_090085_2019-10-04_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_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