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
2012-12-27 09:20:38	ga_ls7e_ard_3-0-0_091079_2012-12-26_final
2012-12-27 09:21:02	ga_ls7e_ard_3-0-0_091080_2012-12-26_final
2012-12-27 09:21:26	ga_ls7e_ard_3-0-0_091081_2012-12-26_final
2012-12-27 09:21:50	ga_ls7e_ard_3-0-0_091082_2012-12-26_final
2012-12-27 09:22:14	ga_ls7e_ard_3-0-0_091083_2012-12-26_final
2012-12-27 09:22:37	ga_ls7e_ard_3-0-0_091084_2012-12-26_final
2013-05-06 09:12:00	ga_ls7e_ard_3-0-0_089089_2013-05-05_final
2013-05-06 09:12:24	ga_ls7e_ard_3-0-0_089090_2013-05-05_final
2013-05-11 09:24:56	ga_ls7e_ard_3-0-0_092075_2013-05-10_final
2013-05-11 09:25:20	ga_ls7e_ard_3-0-0_092076_2013-05-10_final
2013-05-11 09:25:44	ga_ls7e_ard_3-0-0_092077_2013-05-10_final
2013-05-11 09:26:08	ga_ls7e_ard_3-0-0_092078_2013-05-10_final
2013-05-11 09:26:31	ga_ls7e_ard_3-0-0_092079_2013-05-10_final
2013-05-13 09:15:46	ga_ls7e_ard_3-0-0_090083_2013-05-12_final
2013-05-18 09:30:43	ga_ls7e_ard_3-0-0_093074_2013-05-18_final
2013-05-18 09:31:06	ga_ls7e_ard_3-0-0_093075_2013-05-18_final
2013-05-18 09:31:30	ga_ls7e_ard_3-0-0_093076_2013-05-18_final
2013-05-20 09:20:20	ga_ls7e_ard_3-0-0_091079_2013-05-19_final
2013-05-20 09:20:44	ga_ls7e_ard_3-0-0_091080_2013-05-19_final
2013-05-20 09:21:08	ga_ls7e_ard_3-0-0_091081_2013-05-19_final
2013-05-20 09:21:32	ga_ls7e_ard_3-0-0_091082_2013-05-19_final
2013-05-20 09:21:56	ga_ls7e_ard_3-0-0_091083_2013-05-19_final
2013-05-20 09:22:20	ga_ls7e_ard_3-0-0_091084_2013-05-19_final
2013-06-19 09:30:29	ga_ls7e_ard_3-0-0_093074_2013-06-19_final
2013-06-19 09:30:53	ga_ls7e_ard_3-0-0_093075_2013-06-19_final
2013-06-19 09:31:17	ga_ls7e_ard_3-0-0_093076_2013-06-19_final
2013-06-21 09:20:06	ga_ls7e_ard_3-0-0_091079_2013-06-20_final
2013-06-21 09:20:30	ga_ls7e_ard_3-0-0_091080_2013-06-20_final
2013-06-21 09:20:54	ga_ls7e_ard_3-0-0_091081_2013-06-20_final
2013-06-21 09:21:18	ga_ls7e_ard_3-0-0_091082_2013-06-20_final
2013-06-21 09:21:42	ga_ls7e_ard_3-0-0_091083_2013-06-20_final
2013-06-21 09:22:06	ga_ls7e_ard_3-0-0_091084_2013-06-20_final
2013-06-23 09:11:43	ga_ls7e_ard_3-0-0_089089_2013-06-22_final
2013-06-23 09:12:07	ga_ls7e_ard_3-0-0_089090_2013-06-22_final
2013-06-26 09:33:49	ga_ls7e_ard_3-1-0_094067_2013-06-26_final
2013-07-07 09:19:55	ga_ls7e_ard_3-0-0_091079_2013-07-06_final
2013-07-07 09:20:19	ga_ls7e_ard_3-0-0_091080_2013-07-06_final
2013-07-07 09:20:43	ga_ls7e_ard_3-0-0_091081_2013-07-06_final
2013-07-07 09:21:07	ga_ls7e_ard_3-0-0_091082_2013-07-06_final
2013-07-07 09:21:31	ga_ls7e_ard_3-0-0_091083_2013-07-06_final
2013-07-07 09:21:55	ga_ls7e_ard_3-0-0_091084_2013-07-06_final
2013-07-09 09:10:20	ga_ls7e_ard_3-0-0_089086_2013-07-08_final
2013-07-09 09:11:32	ga_ls7e_ard_3-0-0_089089_2013-07-08_final
2013-07-09 09:11:55	ga_ls7e_ard_3-0-0_089090_2013-07-08_final
2013-07-12 09:33:38	ga_ls7e_ard_3-0-0_094067_2013-07-12_final
2013-07-21 09:30:11	ga_ls7e_ard_3-1-0_093074_2013-07-21_final
2013-07-21 09:30:35	ga_ls7e_ard_3-0-0_093075_2013-07-21_final
2013-07-21 09:30:59	ga_ls7e_ard_3-0-0_093076_2013-07-21_final
2013-07-23 09:19:48	ga_ls7e_ard_3-0-0_091079_2013-07-22_final
2013-07-23 09:20:12	ga_ls7e_ard_3-0-0_091080_2013-07-22_final
2013-07-23 09:20:36	ga_ls7e_ard_3-0-0_091081_2013-07-22_final
2013-07-23 09:21:00	ga_ls7e_ard_3-0-0_091082_2013-07-22_final
2013-07-23 09:21:24	ga_ls7e_ard_3-0-0_091083_2013-07-22_final
2013-07-23 09:21:48	ga_ls7e_ard_3-0-0_091084_2013-07-22_final
2017-06-30 09:37:53	ga_ls7e_ard_3-0-0_093075_2017-06-30_final
2017-06-30 09:38:17	ga_ls7e_ard_3-0-0_093076_2017-06-30_final
2017-07-02 09:27:08	ga_ls7e_ard_3-0-0_091079_2017-07-01_final
2017-07-02 09:27:32	ga_ls7e_ard_3-0-0_091080_2017-07-01_final
2017-07-02 09:27:56	ga_ls7e_ard_3-0-0_091081_2017-07-01_final
2017-07-02 09:28:20	ga_ls7e_ard_3-0-0_091082_2017-07-01_final
2017-07-02 09:28:44	ga_ls7e_ard_3-0-0_091083_2017-07-01_final
2017-07-02 09:29:07	ga_ls7e_ard_3-0-0_091084_2017-07-01_final
2017-07-04 09:17:34	ga_ls7e_ard_3-0-0_089086_2017-07-03_final
2017-08-17 09:37:27	ga_ls7e_ard_3-0-0_093074_2017-08-17_final
2017-08-17 09:37:51	ga_ls7e_ard_3-0-0_093075_2017-08-17_final
2017-08-17 09:38:15	ga_ls7e_ard_3-0-0_093076_2017-08-17_final
2017-08-19 09:27:05	ga_ls7e_ard_3-0-0_091079_2017-08-18_final
2017-08-19 09:27:29	ga_ls7e_ard_3-0-0_091080_2017-08-18_final
2017-08-19 09:27:53	ga_ls7e_ard_3-0-0_091081_2017-08-18_final
2017-08-19 09:28:17	ga_ls7e_ard_3-0-0_091082_2017-08-18_final
2017-08-19 09:29:05	ga_ls7e_ard_3-0-0_091084_2017-08-18_final
2017-08-21 09:17:31	ga_ls7e_ard_3-0-0_089086_2017-08-20_final
2017-10-13 09:31:41	ga_ls7e_ard_3-0-0_092075_2017-10-13_final
2017-10-13 09:32:05	ga_ls7e_ard_3-0-0_092076_2017-10-13_final
2017-10-13 09:33:17	ga_ls7e_ard_3-0-0_092079_2017-10-13_final
2017-10-13 09:33:41	ga_ls7e_ard_3-0-0_092080_2017-10-13_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2017-10-15 09:22:31	ga_ls7e_ard_3-0-0_090083_2017-10-14_final
2017-10-15 09:22:55	ga_ls7e_ard_3-0-0_090084_2017-10-14_final
2017-10-15 09:23:19	ga_ls7e_ard_3-1-0_090085_2017-10-14_final
2017-10-15 09:23:43	ga_ls7e_ard_3-0-0_090086_2017-10-14_final
2017-10-15 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-14_final
2017-10-20 09:37:29	ga_ls7e_ard_3-0-0_093074_2017-10-20_final
2018-02-16 09:39:44	ga_ls7e_ard_3-1-0_094067_2018-02-16_final
2018-02-18 09:30:33	ga_ls7e_ard_3-0-0_092075_2018-02-18_final
2018-02-18 09:30:57	ga_ls7e_ard_3-0-0_092076_2018-02-18_final
2018-02-18 09:31:21	ga_ls7e_ard_3-0-0_092077_2018-02-18_final
2018-02-18 09:31:45	ga_ls7e_ard_3-0-0_092078_2018-02-18_final
2018-02-18 09:32:09	ga_ls7e_ard_3-0-0_092079_2018-02-18_final
2018-02-18 09:32:33	ga_ls7e_ard_3-0-0_092080_2018-02-18_final
2018-02-20 09:21:46	ga_ls7e_ard_3-0-0_090084_2018-02-19_final
2018-02-20 09:22:10	ga_ls7e_ard_3-1-0_090085_2018-02-19_final
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-05-27 09:19:56	ga_ls7e_ard_3-0-0_090083_2018-05-26_final
2018-05-27 09:20:20	ga_ls7e_ard_3-0-0_090084_2018-05-26_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2018-05-27 09:21:08	ga_ls7e_ard_3-0-0_090086_2018-05-26_final
2018-05-27 09:21:56	ga_ls7e_ard_3-0-0_090088_2018-05-26_final
2018-06-01 09:34:48	ga_ls7e_ard_3-0-0_093074_2018-06-01_final
2018-06-01 09:35:12	ga_ls7e_ard_3-0-0_093075_2018-06-01_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