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
2004-10-18 09:13:08	ga_ls7e_ard_3-0-0_091079_2004-10-17_final
2004-10-18 09:13:56	ga_ls7e_ard_3-0-0_091081_2004-10-17_final
2004-10-18 09:14:20	ga_ls7e_ard_3-0-0_091082_2004-10-17_final
2004-10-18 09:14:44	ga_ls7e_ard_3-0-0_091083_2004-10-17_final
2004-10-18 09:15:07	ga_ls7e_ard_3-0-0_091084_2004-10-17_final
2004-10-20 09:03:36	ga_ls7e_ard_3-0-0_089086_2004-10-19_final
2004-10-20 09:04:48	ga_ls7e_ard_3-0-0_089089_2004-10-19_final
2004-10-20 09:05:12	ga_ls7e_ard_3-0-0_089090_2004-10-19_final
2004-10-23 09:26:58	ga_ls7e_ard_3-0-0_094067_2004-10-22_final
2004-11-10 09:17:59	ga_ls7e_ard_3-0-0_092075_2004-11-09_final
2004-11-10 09:18:23	ga_ls7e_ard_3-0-0_092076_2004-11-09_final
2004-11-10 09:19:11	ga_ls7e_ard_3-0-0_092078_2004-11-09_final
2004-11-10 09:19:35	ga_ls7e_ard_3-0-0_092079_2004-11-09_final
2004-11-10 09:19:59	ga_ls7e_ard_3-0-0_092080_2004-11-09_final
2004-11-12 09:08:26	ga_ls7e_ard_3-0-0_090082_2004-11-11_final
2004-11-12 09:08:50	ga_ls7e_ard_3-0-0_090083_2004-11-11_final
2004-11-12 09:09:14	ga_ls7e_ard_3-0-0_090084_2004-11-11_final
2004-11-12 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-11-11_final
2004-11-12 09:10:01	ga_ls7e_ard_3-0-0_090086_2004-11-11_final
2004-11-12 09:10:49	ga_ls7e_ard_3-0-0_090088_2004-11-11_final
2004-11-19 09:13:03	ga_ls7e_ard_3-0-0_091078_2004-11-18_final
2004-11-19 09:13:27	ga_ls7e_ard_3-0-0_091079_2004-11-18_final
2004-11-19 09:13:51	ga_ls7e_ard_3-0-0_091080_2004-11-18_final
2004-11-19 09:14:15	ga_ls7e_ard_3-0-0_091081_2004-11-18_final
2004-11-19 09:14:39	ga_ls7e_ard_3-0-0_091082_2004-11-18_final
2004-11-19 09:15:03	ga_ls7e_ard_3-0-0_091083_2004-11-18_final
2004-11-21 09:03:55	ga_ls7e_ard_3-0-0_089086_2004-11-20_final
2004-11-24 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-11-23_final
2004-12-05 09:13:13	ga_ls7e_ard_3-0-0_091078_2004-12-04_final
2004-12-05 09:15:13	ga_ls7e_ard_3-0-0_091083_2004-12-04_final
2004-12-05 09:15:37	ga_ls7e_ard_3-0-0_091084_2004-12-04_final
2004-12-07 09:05:16	ga_ls7e_ard_3-0-0_089089_2004-12-06_final
2004-12-07 09:05:40	ga_ls7e_ard_3-0-0_089090_2004-12-06_final
2005-01-08 09:04:18	ga_ls7e_ard_3-0-0_089086_2005-01-07_final
2005-01-22 09:13:52	ga_ls7e_ard_3-0-0_091079_2005-01-21_final
2005-01-22 09:14:16	ga_ls7e_ard_3-0-0_091080_2005-01-21_final
2005-01-22 09:14:40	ga_ls7e_ard_3-0-0_091081_2005-01-21_final
2005-01-22 09:15:04	ga_ls7e_ard_3-0-0_091082_2005-01-21_final
2005-01-22 09:15:28	ga_ls7e_ard_3-0-0_091083_2005-01-21_final
2005-01-22 09:15:52	ga_ls7e_ard_3-0-0_091084_2005-01-21_final
2005-03-13 09:04:37	ga_ls7e_ard_3-0-0_089086_2005-03-12_final
2005-03-13 09:05:49	ga_ls7e_ard_3-1-0_089089_2005-03-12_final
2005-03-13 09:06:13	ga_ls7e_ard_3-0-0_089090_2005-03-12_final
2005-03-16 09:27:56	ga_ls7e_ard_3-1-0_094067_2005-03-15_final
2018-02-25 09:36:15	ga_ls7e_ard_3-0-0_093074_2018-02-25_final
2018-03-29 09:35:51	ga_ls7e_ard_3-0-0_093074_2018-03-29_final
2018-03-29 09:36:15	ga_ls7e_ard_3-0-0_093075_2018-03-29_final
2018-03-29 09:36:39	ga_ls7e_ard_3-0-0_093076_2018-03-29_final
2018-03-31 09:25:28	ga_ls7e_ard_3-0-0_091079_2018-03-30_final
2018-03-31 09:25:51	ga_ls7e_ard_3-0-0_091080_2018-03-30_final
2018-03-31 09:26:15	ga_ls7e_ard_3-0-0_091081_2018-03-30_final
2018-03-31 09:26:39	ga_ls7e_ard_3-0-0_091082_2018-03-30_final
2018-03-31 09:27:03	ga_ls7e_ard_3-0-0_091083_2018-03-30_final
2018-03-31 09:27:27	ga_ls7e_ard_3-0-0_091084_2018-03-30_final
2018-08-15 09:18:28	ga_ls7e_ard_3-0-0_090083_2018-08-14_final
2018-08-15 09:18:52	ga_ls7e_ard_3-0-0_090084_2018-08-14_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_final
2021-07-27 08:37:06	ga_ls7e_ard_3-2-0_093075_2021-07-26_final
2021-07-27 08:37:30	ga_ls7e_ard_3-2-0_093076_2021-07-26_final
2021-07-29 08:26:10	ga_ls7e_ard_3-2-0_091079_2021-07-28_final
2021-07-29 08:26:34	ga_ls7e_ard_3-2-0_091080_2021-07-28_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2021-07-29 08:27:22	ga_ls7e_ard_3-2-0_091082_2021-07-28_final
2021-07-29 08:27:46	ga_ls7e_ard_3-2-0_091083_2021-07-28_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-07-29 08:28:34	ga_ls7e_ard_3-2-0_091085_2021-07-28_final
2021-08-05 08:30:08	ga_ls7e_ard_3-2-0_092075_2021-08-04_final
2021-08-05 08:30:56	ga_ls7e_ard_3-2-0_092077_2021-08-04_final
2021-08-05 08:31:20	ga_ls7e_ard_3-2-0_092078_2021-08-04_final
2021-08-05 08:32:08	ga_ls7e_ard_3-2-0_092080_2021-08-04_final
2021-08-07 08:20:47	ga_ls7e_ard_3-2-0_090083_2021-08-06_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-07 08:21:35	ga_ls7e_ard_3-2-0_090085_2021-08-06_final
2021-08-07 08:21:59	ga_ls7e_ard_3-2-0_090086_2021-08-06_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-12 08:35:17	ga_ls7e_ard_3-2-0_093074_2021-08-11_final
2021-08-12 08:35:41	ga_ls7e_ard_3-2-0_093075_2021-08-11_final
2021-08-12 08:36:05	ga_ls7e_ard_3-2-0_093076_2021-08-11_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-14 08:25:09	ga_ls7e_ard_3-2-0_091080_2021-08-13_final
2021-08-14 08:25:33	ga_ls7e_ard_3-2-0_091081_2021-08-13_final
2021-08-14 08:25:56	ga_ls7e_ard_3-2-0_091082_2021-08-13_final
2021-08-14 08:26:20	ga_ls7e_ard_3-2-0_091083_2021-08-13_final
2021-08-14 08:26:44	ga_ls7e_ard_3-2-0_091084_2021-08-13_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-16 08:15:00	ga_ls7e_ard_3-2-0_089086_2021-08-15_final
2021-08-19 08:38:03	ga_ls7e_ard_3-2-0_094067_2021-08-18_final
2021-10-15 08:29:39	ga_ls7e_ard_3-2-0_093074_2021-10-14_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-10-15 08:30:27	ga_ls7e_ard_3-2-0_093076_2021-10-14_final
2021-10-17 08:19:07	ga_ls7e_ard_3-2-0_091079_2021-10-16_final
2021-10-17 08:19:31	ga_ls7e_ard_3-2-0_091080_2021-10-16_final
2021-10-17 08:19:55	ga_ls7e_ard_3-2-0_091081_2021-10-16_final
2021-10-17 08:20:19	ga_ls7e_ard_3-2-0_091082_2021-10-16_final
2021-10-17 08:20:43	ga_ls7e_ard_3-2-0_091083_2021-10-16_final
2021-10-17 08:21:06	ga_ls7e_ard_3-2-0_091084_2021-10-16_final
2021-10-17 08:21:30	ga_ls7e_ard_3-2-0_091085_2021-10-16_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