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
2002-05-29 09:17:40	ga_ls7e_ard_3-0-0_092075_2002-05-28_final
2002-05-29 09:18:04	ga_ls7e_ard_3-0-0_092076_2002-05-28_final
2002-05-29 09:18:28	ga_ls7e_ard_3-0-0_092077_2002-05-28_final
2002-05-29 09:18:52	ga_ls7e_ard_3-0-0_092078_2002-05-28_final
2002-05-31 09:07:43	ga_ls7e_ard_3-0-0_090081_2002-05-30_final
2002-05-31 09:08:07	ga_ls7e_ard_3-0-0_090082_2002-05-30_final
2002-05-31 09:08:30	ga_ls7e_ard_3-0-0_090083_2002-05-30_final
2002-05-31 09:08:54	ga_ls7e_ard_3-0-0_090084_2002-05-30_final
2002-05-31 09:09:18	ga_ls7e_ard_3-1-0_090085_2002-05-30_final
2002-05-31 09:09:42	ga_ls7e_ard_3-0-0_090086_2002-05-30_final
2002-08-12 09:02:41	ga_ls7e_ard_3-0-0_089085_2002-08-11_final
2002-08-12 09:03:05	ga_ls7e_ard_3-0-0_089086_2002-08-11_final
2002-08-12 09:04:17	ga_ls7e_ard_3-1-0_089089_2002-08-11_final
2002-08-12 09:04:41	ga_ls7e_ard_3-0-0_089090_2002-08-11_final
2008-07-30 09:27:29	ga_ls7e_ard_3-1-0_094067_2008-07-29_final
2008-09-27 09:12:28	ga_ls7e_ard_3-0-0_091077_2008-09-26_final
2008-09-27 09:12:52	ga_ls7e_ard_3-0-0_091078_2008-09-26_final
2008-09-27 09:13:16	ga_ls7e_ard_3-0-0_091079_2008-09-26_final
2008-09-27 09:13:40	ga_ls7e_ard_3-0-0_091080_2008-09-26_final
2008-09-27 09:14:04	ga_ls7e_ard_3-1-0_091081_2008-09-26_final
2008-09-27 09:14:28	ga_ls7e_ard_3-0-0_091082_2008-09-26_final
2008-09-29 09:03:17	ga_ls7e_ard_3-0-0_089085_2008-09-28_final
2008-09-29 09:03:41	ga_ls7e_ard_3-0-0_089086_2008-09-28_final
2008-09-29 09:04:53	ga_ls7e_ard_3-0-0_089089_2008-09-28_final
2008-09-29 09:05:17	ga_ls7e_ard_3-0-0_089090_2008-09-28_final
2008-12-07 09:18:28	ga_ls7e_ard_3-0-0_092075_2008-12-06_final
2008-12-07 09:18:52	ga_ls7e_ard_3-0-0_092076_2008-12-06_final
2008-12-07 09:19:40	ga_ls7e_ard_3-0-0_092078_2008-12-06_final
2008-12-23 09:18:37	ga_ls7e_ard_3-0-0_092075_2008-12-22_final
2008-12-23 09:19:01	ga_ls7e_ard_3-0-0_092076_2008-12-22_final
2008-12-23 09:19:25	ga_ls7e_ard_3-0-0_092077_2008-12-22_final
2008-12-23 09:19:49	ga_ls7e_ard_3-0-0_092078_2008-12-22_final
2009-03-20 09:22:14	ga_ls7e_ard_3-0-0_093067_2009-03-19_final
2014-04-03 09:29:02	ga_ls7e_ard_3-0-0_093067_2014-04-02_final
2014-04-05 09:20:40	ga_ls7e_ard_3-0-0_091077_2014-04-04_final
2014-04-05 09:21:04	ga_ls7e_ard_3-0-0_091078_2014-04-04_final
2014-04-05 09:21:28	ga_ls7e_ard_3-0-0_091079_2014-04-04_final
2014-04-05 09:21:51	ga_ls7e_ard_3-0-0_091080_2014-04-04_final
2014-04-05 09:22:15	ga_ls7e_ard_3-0-0_091081_2014-04-04_final
2014-04-19 09:29:11	ga_ls7e_ard_3-0-0_093067_2014-04-18_final
2014-07-08 09:29:34	ga_ls7e_ard_3-0-0_093067_2014-07-07_final
2014-07-10 09:21:12	ga_ls7e_ard_3-0-0_091077_2014-07-09_final
2014-07-10 09:21:36	ga_ls7e_ard_3-0-0_091078_2014-07-09_final
2014-07-10 09:22:00	ga_ls7e_ard_3-0-0_091079_2014-07-09_final
2014-07-10 09:22:24	ga_ls7e_ard_3-0-0_091080_2014-07-09_final
2014-07-10 09:22:48	ga_ls7e_ard_3-0-0_091081_2014-07-09_final
2014-07-10 09:23:12	ga_ls7e_ard_3-0-0_091082_2014-07-09_final
2014-07-24 09:29:38	ga_ls7e_ard_3-0-0_093067_2014-07-23_final
2014-07-26 09:22:04	ga_ls7e_ard_3-0-0_091079_2014-07-25_final
2014-07-26 09:22:52	ga_ls7e_ard_3-0-0_091081_2014-07-25_final
2014-07-26 09:23:16	ga_ls7e_ard_3-0-0_091082_2014-07-25_final
2018-04-30 09:35:19	ga_ls7e_ard_3-0-0_093074_2018-04-30_final
2018-05-02 09:24:07	ga_ls7e_ard_3-0-0_091077_2018-05-01_final
2018-05-02 09:24:31	ga_ls7e_ard_3-0-0_091078_2018-05-01_final
2018-05-02 09:24:55	ga_ls7e_ard_3-0-0_091079_2018-05-01_final
2018-05-02 09:25:19	ga_ls7e_ard_3-0-0_091080_2018-05-01_final
2018-05-02 09:25:43	ga_ls7e_ard_3-0-0_091081_2018-05-01_final
2018-05-02 09:26:07	ga_ls7e_ard_3-0-0_091082_2018-05-01_final
2018-05-02 09:26:31	ga_ls7e_ard_3-0-0_091083_2018-05-01_final
2018-05-16 09:35:03	ga_ls7e_ard_3-0-0_093074_2018-05-16_final
2018-05-18 09:23:51	ga_ls7e_ard_3-0-0_091077_2018-05-17_final
2018-05-18 09:24:15	ga_ls7e_ard_3-0-0_091078_2018-05-17_final
2018-05-18 09:24:39	ga_ls7e_ard_3-0-0_091079_2018-05-17_final
2018-05-18 09:25:03	ga_ls7e_ard_3-0-0_091080_2018-05-17_final
2018-05-18 09:25:27	ga_ls7e_ard_3-0-0_091081_2018-05-17_final
2018-05-18 09:25:51	ga_ls7e_ard_3-0-0_091082_2018-05-17_final
2018-05-18 09:26:15	ga_ls7e_ard_3-0-0_091083_2018-05-17_final
2018-06-05 09:14:24	ga_ls7e_ard_3-0-0_089085_2018-06-04_final
2018-06-05 09:14:48	ga_ls7e_ard_3-0-0_089086_2018-06-04_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2018-06-17 09:34:31	ga_ls7e_ard_3-0-0_093074_2018-06-17_final
2018-08-04 09:33:37	ga_ls7e_ard_3-0-0_093074_2018-08-04_final
2018-08-06 09:23:13	ga_ls7e_ard_3-0-0_091079_2018-08-05_final
2018-08-06 09:23:37	ga_ls7e_ard_3-0-0_091080_2018-08-05_final
2018-10-02 09:16:37	ga_ls7e_ard_3-0-0_090081_2018-10-01_final
2018-10-02 09:17:01	ga_ls7e_ard_3-0-0_090082_2018-10-01_final
2018-10-02 09:17:25	ga_ls7e_ard_3-0-0_090083_2018-10-01_final
2018-10-02 09:17:49	ga_ls7e_ard_3-0-0_090084_2018-10-01_final
2018-10-02 09:18:13	ga_ls7e_ard_3-0-0_090085_2018-10-01_final
2018-10-02 09:18:37	ga_ls7e_ard_3-0-0_090086_2018-10-01_final
2019-05-05 09:14:49	ga_ls7e_ard_3-0-0_091077_2019-05-04_final
2019-05-05 09:15:13	ga_ls7e_ard_3-0-0_091078_2019-05-04_final
2019-05-05 09:15:37	ga_ls7e_ard_3-0-0_091079_2019-05-04_final
2019-05-05 09:16:01	ga_ls7e_ard_3-0-0_091080_2019-05-04_final
2019-05-05 09:16:25	ga_ls7e_ard_3-0-0_091081_2019-05-04_final
2019-05-05 09:16:49	ga_ls7e_ard_3-0-0_091082_2019-05-04_final
2019-05-05 09:17:13	ga_ls7e_ard_3-0-0_091083_2019-05-04_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
2019-07-01 09:08:07	ga_ls7e_ard_3-0-0_090081_2019-06-30_final
2019-07-01 09:08:31	ga_ls7e_ard_3-0-0_090082_2019-06-30_final
2019-07-01 09:08:55	ga_ls7e_ard_3-0-0_090083_2019-06-30_final
2019-07-06 09:23:40	ga_ls7e_ard_3-0-0_093074_2019-07-05_final
2019-08-18 09:06:11	ga_ls7e_ard_3-0-0_090081_2019-08-17_final
2019-08-18 09:06:35	ga_ls7e_ard_3-1-0_090082_2019-08-17_final
2019-08-18 09:06:59	ga_ls7e_ard_3-0-0_090083_2019-08-17_final
2019-08-18 09:07:23	ga_ls7e_ard_3-0-0_090084_2019-08-17_final
2019-09-19 09:06:24	ga_ls7e_ard_3-1-0_090085_2019-09-18_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-24 09:20:19	ga_ls7e_ard_3-1-0_093074_2019-09-23_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