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
2001-07-06 09:15:02	ga_ls7e_ard_3-0-0_091082_2001-07-05_final
2001-07-08 09:03:53	ga_ls7e_ard_3-0-0_089085_2001-07-07_final
2001-09-08 09:14:16	ga_ls7e_ard_3-0-0_091082_2001-09-07_final
2001-09-10 09:03:05	ga_ls7e_ard_3-0-0_089085_2001-09-09_final
2001-09-10 09:03:29	ga_ls7e_ard_3-0-0_089086_2001-09-09_final
2001-09-10 09:04:41	ga_ls7e_ard_3-0-0_089089_2001-09-09_final
2001-09-10 09:05:05	ga_ls7e_ard_3-0-0_089090_2001-09-09_final
2001-10-19 09:07:23	ga_ls7e_ard_3-0-0_090081_2001-10-18_final
2001-10-19 09:07:47	ga_ls7e_ard_3-0-0_090082_2001-10-18_final
2001-10-19 09:08:11	ga_ls7e_ard_3-0-0_090083_2001-10-18_final
2001-10-19 09:08:35	ga_ls7e_ard_3-0-0_090084_2001-10-18_final
2001-10-19 09:08:59	ga_ls7e_ard_3-1-0_090085_2001-10-18_final
2001-10-19 09:09:23	ga_ls7e_ard_3-0-0_090086_2001-10-18_final
2001-12-18 09:26:53	ga_ls7e_ard_3-1-0_094067_2001-12-17_final
2001-12-20 09:17:43	ga_ls7e_ard_3-0-0_092075_2001-12-19_final
2001-12-20 09:18:07	ga_ls7e_ard_3-0-0_092076_2001-12-19_final
2001-12-20 09:18:31	ga_ls7e_ard_3-0-0_092077_2001-12-19_final
2001-12-20 09:18:55	ga_ls7e_ard_3-0-0_092078_2001-12-19_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
2013-09-09 09:19:15	ga_ls7e_ard_3-0-0_091077_2013-09-08_final
2013-09-09 09:19:39	ga_ls7e_ard_3-0-0_091078_2013-09-08_final
2013-09-09 09:20:03	ga_ls7e_ard_3-0-0_091079_2013-09-08_final
2013-09-09 09:20:27	ga_ls7e_ard_3-0-0_091080_2013-09-08_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
2013-09-25 09:19:24	ga_ls7e_ard_3-0-0_091077_2013-09-24_final
2013-09-25 09:19:48	ga_ls7e_ard_3-0-0_091078_2013-09-24_final
2013-09-25 09:20:12	ga_ls7e_ard_3-0-0_091079_2013-09-24_final
2013-09-25 09:20:36	ga_ls7e_ard_3-0-0_091080_2013-09-24_final
2013-09-25 09:21:00	ga_ls7e_ard_3-0-0_091081_2013-09-24_final
2013-09-25 09:21:24	ga_ls7e_ard_3-0-0_091082_2013-09-24_final
2014-02-25 09:15:48	ga_ls7e_ard_3-0-0_090081_2014-02-24_final
2014-02-25 09:16:12	ga_ls7e_ard_3-0-0_090082_2014-02-24_final
2014-02-25 09:16:36	ga_ls7e_ard_3-0-0_090083_2014-02-24_final
2014-02-25 09:17:00	ga_ls7e_ard_3-0-0_090084_2014-02-24_final
2014-02-25 09:17:24	ga_ls7e_ard_3-1-0_090085_2014-02-24_final
2014-02-25 09:17:48	ga_ls7e_ard_3-0-0_090086_2014-02-24_final
2016-07-08 09:21:39	ga_ls7e_ard_3-0-0_090081_2016-07-07_final
2016-07-08 09:23:39	ga_ls7e_ard_3-0-0_090086_2016-07-07_final
2016-09-26 09:21:50	ga_ls7e_ard_3-0-0_090081_2016-09-25_final
2016-09-26 09:22:14	ga_ls7e_ard_3-0-0_090082_2016-09-25_final
2016-09-26 09:22:38	ga_ls7e_ard_3-0-0_090083_2016-09-25_final
2016-09-26 09:23:02	ga_ls7e_ard_3-0-0_090084_2016-09-25_final
2016-09-26 09:23:26	ga_ls7e_ard_3-0-0_090085_2016-09-25_final
2016-09-26 09:23:50	ga_ls7e_ard_3-0-0_090086_2016-09-25_final
2016-10-26 09:31:46	ga_ls7e_ard_3-0-0_092075_2016-10-26_final
2016-10-26 09:32:10	ga_ls7e_ard_3-0-0_092076_2016-10-26_final
2016-10-26 09:32:33	ga_ls7e_ard_3-0-0_092077_2016-10-26_final
2016-10-26 09:32:57	ga_ls7e_ard_3-0-0_092078_2016-10-26_final
2016-10-28 09:21:47	ga_ls7e_ard_3-0-0_090081_2016-10-27_final
2016-10-28 09:22:35	ga_ls7e_ard_3-0-0_090083_2016-10-27_final
2016-10-28 09:22:59	ga_ls7e_ard_3-0-0_090084_2016-10-27_final
2016-10-28 09:23:23	ga_ls7e_ard_3-1-0_090085_2016-10-27_final
2016-10-28 09:23:47	ga_ls7e_ard_3-0-0_090086_2016-10-27_final
2018-09-21 09:32:38	ga_ls7e_ard_3-0-0_093074_2018-09-21_final
2018-11-26 09:19:55	ga_ls7e_ard_3-0-0_091077_2018-11-25_final
2018-11-26 09:20:19	ga_ls7e_ard_3-0-0_091078_2018-11-25_final
2018-11-26 09:20:43	ga_ls7e_ard_3-0-0_091079_2018-11-25_final
2018-11-26 09:21:07	ga_ls7e_ard_3-0-0_091080_2018-11-25_final
2018-11-26 09:21:31	ga_ls7e_ard_3-0-0_091081_2018-11-25_final
2018-11-26 09:21:55	ga_ls7e_ard_3-0-0_091082_2018-11-25_final
2018-11-26 09:22:19	ga_ls7e_ard_3-0-0_091083_2018-11-25_final
2019-02-03 09:32:25	ga_ls7e_ard_3-1-0_094067_2019-02-03_final
2019-02-05 09:24:23	ga_ls7e_ard_3-0-0_092078_2019-02-04_final
2019-02-28 09:28:17	ga_ls7e_ard_3-1-0_093074_2019-02-27_final
2019-03-02 09:17:03	ga_ls7e_ard_3-1-0_091077_2019-03-01_final
2019-03-02 09:17:51	ga_ls7e_ard_3-1-0_091079_2019-03-01_final
2019-03-02 09:18:15	ga_ls7e_ard_3-1-0_091080_2019-03-01_final
2019-03-02 09:18:39	ga_ls7e_ard_3-1-0_091081_2019-03-01_final
2019-03-02 09:19:03	ga_ls7e_ard_3-1-0_091082_2019-03-01_final
2019-03-02 09:19:27	ga_ls7e_ard_3-1-0_091083_2019-03-01_final
2019-03-11 09:12:11	ga_ls7e_ard_3-1-0_090081_2019-03-10_final
2019-03-11 09:12:35	ga_ls7e_ard_3-1-0_090082_2019-03-10_final
2019-03-11 09:12:59	ga_ls7e_ard_3-1-0_090083_2019-03-10_final
2019-03-11 09:13:23	ga_ls7e_ard_3-1-0_090084_2019-03-10_final
2019-03-11 09:13:47	ga_ls7e_ard_3-1-0_090085_2019-03-10_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-16 09:27:46	ga_ls7e_ard_3-1-0_093074_2019-03-15_final
2019-04-03 09:15:59	ga_ls7e_ard_3-0-0_091077_2019-04-02_final
2019-04-03 09:16:23	ga_ls7e_ard_3-0-0_091078_2019-04-02_final
2019-04-03 09:16:47	ga_ls7e_ard_3-0-0_091079_2019-04-02_final
2019-04-03 09:17:11	ga_ls7e_ard_3-0-0_091080_2019-04-02_final
2019-04-03 09:17:35	ga_ls7e_ard_3-0-0_091081_2019-04-02_final
2019-04-03 09:17:59	ga_ls7e_ard_3-0-0_091082_2019-04-02_final
2019-04-03 09:18:23	ga_ls7e_ard_3-0-0_091083_2019-04-02_final
2019-04-21 09:06:11	ga_ls7e_ard_3-0-0_089085_2019-04-20_final
2019-04-21 09:06:35	ga_ls7e_ard_3-0-0_089086_2019-04-20_final
2019-05-19 09:25:26	ga_ls7e_ard_3-0-0_093074_2019-05-18_final
2019-06-06 09:13:37	ga_ls7e_ard_3-0-0_091077_2019-06-05_final
2019-06-06 09:14:01	ga_ls7e_ard_3-0-0_091078_2019-06-05_final
2019-06-06 09:14:25	ga_ls7e_ard_3-0-0_091079_2019-06-05_final
2019-06-06 09:14:49	ga_ls7e_ard_3-0-0_091080_2019-06-05_final
2019-06-06 09:15:13	ga_ls7e_ard_3-1-0_091081_2019-06-05_final
2019-06-06 09:15:37	ga_ls7e_ard_3-0-0_091082_2019-06-05_final
2019-06-06 09:16:01	ga_ls7e_ard_3-0-0_091083_2019-06-05_final
2019-06-08 09:04:23	ga_ls7e_ard_3-0-0_089085_2019-06-07_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