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
2006-08-21 09:13:20	ga_ls7e_ard_3-0-0_091077_2006-08-20_final
2006-08-21 09:13:44	ga_ls7e_ard_3-0-0_091078_2006-08-20_final
2006-08-21 09:14:08	ga_ls7e_ard_3-0-0_091079_2006-08-20_final
2006-08-21 09:14:32	ga_ls7e_ard_3-0-0_091080_2006-08-20_final
2006-08-21 09:14:56	ga_ls7e_ard_3-0-0_091081_2006-08-20_final
2006-08-21 09:15:20	ga_ls7e_ard_3-0-0_091082_2006-08-20_final
2006-08-28 09:18:41	ga_ls7e_ard_3-0-0_092075_2006-08-27_final
2006-08-28 09:19:05	ga_ls7e_ard_3-0-0_092076_2006-08-27_final
2006-08-28 09:19:29	ga_ls7e_ard_3-0-0_092077_2006-08-27_final
2006-08-28 09:19:53	ga_ls7e_ard_3-0-0_092078_2006-08-27_final
2006-10-08 09:13:01	ga_ls7e_ard_3-0-0_091077_2006-10-07_final
2006-10-08 09:13:25	ga_ls7e_ard_3-0-0_091078_2006-10-07_final
2006-10-08 09:13:49	ga_ls7e_ard_3-0-0_091079_2006-10-07_final
2006-10-08 09:14:13	ga_ls7e_ard_3-0-0_091080_2006-10-07_final
2006-10-08 09:14:37	ga_ls7e_ard_3-1-0_091081_2006-10-07_final
2006-10-08 09:15:01	ga_ls7e_ard_3-0-0_091082_2006-10-07_final
2006-11-27 09:04:34	ga_ls7e_ard_3-0-0_089085_2006-11-26_final
2006-11-27 09:04:57	ga_ls7e_ard_3-0-0_089086_2006-11-26_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2006-11-27 09:06:33	ga_ls7e_ard_3-0-0_089090_2006-11-26_final
2006-12-18 09:19:14	ga_ls7e_ard_3-0-0_092075_2006-12-17_final
2006-12-18 09:19:38	ga_ls7e_ard_3-0-0_092076_2006-12-17_final
2006-12-18 09:20:02	ga_ls7e_ard_3-0-0_092077_2006-12-17_final
2006-12-18 09:20:26	ga_ls7e_ard_3-0-0_092078_2006-12-17_final
2006-12-20 09:09:17	ga_ls7e_ard_3-0-0_090081_2006-12-19_final
2006-12-20 09:09:41	ga_ls7e_ard_3-0-0_090082_2006-12-19_final
2006-12-20 09:10:05	ga_ls7e_ard_3-0-0_090083_2006-12-19_final
2006-12-20 09:10:29	ga_ls7e_ard_3-0-0_090084_2006-12-19_final
2006-12-20 09:11:17	ga_ls7e_ard_3-0-0_090086_2006-12-19_final
2007-02-06 09:09:52	ga_ls7e_ard_3-0-0_090082_2007-02-05_final
2007-02-06 09:10:16	ga_ls7e_ard_3-0-0_090083_2007-02-05_final
2007-02-06 09:10:40	ga_ls7e_ard_3-0-0_090084_2007-02-05_final
2007-02-06 09:11:04	ga_ls7e_ard_3-1-0_090085_2007-02-05_final
2007-02-06 09:11:28	ga_ls7e_ard_3-0-0_090086_2007-02-05_final
2012-11-30 09:34:13	ga_ls7e_ard_3-1-0_094067_2012-11-30_final
2017-11-25 09:16:39	ga_ls7e_ard_3-0-0_089084_2017-11-24_final
2017-11-25 09:17:03	ga_ls7e_ard_3-0-0_089085_2017-11-24_final
2017-11-25 09:17:27	ga_ls7e_ard_3-0-0_089086_2017-11-24_final
2017-11-28 09:40:45	ga_ls7e_ard_3-1-0_094067_2017-11-28_final
2018-03-24 09:20:11	ga_ls7e_ard_3-0-0_090081_2018-03-23_final
2018-03-24 09:20:35	ga_ls7e_ard_3-1-0_090082_2018-03-23_final
2018-03-24 09:20:59	ga_ls7e_ard_3-0-0_090083_2018-03-23_final
2018-03-24 09:21:23	ga_ls7e_ard_3-0-0_090084_2018-03-23_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2018-03-24 09:22:10	ga_ls7e_ard_3-0-0_090086_2018-03-23_final
2018-05-11 09:19:22	ga_ls7e_ard_3-0-0_090081_2018-05-10_final
2018-05-11 09:19:46	ga_ls7e_ard_3-0-0_090082_2018-05-10_final
2018-05-11 09:20:10	ga_ls7e_ard_3-0-0_090083_2018-05-10_final
2018-05-11 09:20:34	ga_ls7e_ard_3-0-0_090084_2018-05-10_final
2018-05-11 09:20:58	ga_ls7e_ard_3-1-0_090085_2018-05-10_final
2018-05-11 09:21:22	ga_ls7e_ard_3-0-0_090086_2018-05-10_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
2019-06-11 09:28:00	ga_ls7e_ard_3-1-0_094067_2019-06-10_final
2019-06-13 09:18:45	ga_ls7e_ard_3-0-0_092075_2019-06-12_final
2019-06-13 09:19:09	ga_ls7e_ard_3-0-0_092076_2019-06-12_final
2019-06-13 09:19:33	ga_ls7e_ard_3-0-0_092077_2019-06-12_final
2019-06-13 09:19:57	ga_ls7e_ard_3-0-0_092078_2019-06-12_final
2019-08-14 09:25:30	ga_ls7e_ard_3-1-0_094067_2019-08-13_final
2019-08-16 09:16:14	ga_ls7e_ard_3-0-0_092075_2019-08-15_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
2019-09-03 09:05:30	ga_ls7e_ard_3-1-0_090081_2019-09-02_final
2019-09-03 09:05:54	ga_ls7e_ard_3-1-0_090082_2019-09-02_final
2019-09-03 09:06:18	ga_ls7e_ard_3-1-0_090083_2019-09-02_final
2019-09-03 09:06:42	ga_ls7e_ard_3-1-0_090084_2019-09-02_final
2019-09-03 09:07:06	ga_ls7e_ard_3-1-0_090085_2019-09-02_final
2019-09-03 09:07:30	ga_ls7e_ard_3-1-0_090086_2019-09-02_final
2019-09-08 09:21:02	ga_ls7e_ard_3-1-0_093074_2019-09-07_final
2019-09-10 09:09:47	ga_ls7e_ard_3-1-0_091077_2019-09-09_final
2019-09-10 09:10:11	ga_ls7e_ard_3-1-0_091078_2019-09-09_final
2019-09-10 09:10:35	ga_ls7e_ard_3-1-0_091079_2019-09-09_final
2019-09-10 09:10:59	ga_ls7e_ard_3-1-0_091080_2019-09-09_final
2019-09-10 09:11:23	ga_ls7e_ard_3-1-0_091081_2019-09-09_final
2019-09-10 09:11:47	ga_ls7e_ard_3-1-0_091082_2019-09-09_final
2019-09-10 09:12:11	ga_ls7e_ard_3-1-0_091083_2019-09-09_final
2019-10-10 09:19:40	ga_ls7e_ard_3-1-0_093074_2019-10-09_final
2019-10-12 09:08:25	ga_ls7e_ard_3-1-0_091077_2019-10-11_final
2019-10-12 09:08:49	ga_ls7e_ard_3-1-0_091078_2019-10-11_final
2019-10-12 09:09:13	ga_ls7e_ard_3-1-0_091079_2019-10-11_final
2019-10-12 09:09:37	ga_ls7e_ard_3-1-0_091080_2019-10-11_final
2019-10-12 09:10:01	ga_ls7e_ard_3-1-0_091081_2019-10-11_final
2019-10-12 09:10:25	ga_ls7e_ard_3-1-0_091082_2019-10-11_final
2019-10-12 09:10:49	ga_ls7e_ard_3-1-0_091083_2019-10-11_final
2019-11-04 09:12:48	ga_ls7e_ard_3-1-0_092075_2019-11-03_final
2019-11-04 09:13:12	ga_ls7e_ard_3-1-0_092076_2019-11-03_final
2019-11-04 09:13:36	ga_ls7e_ard_3-1-0_092077_2019-11-03_final
2019-11-04 09:14:00	ga_ls7e_ard_3-1-0_092078_2019-11-03_final
2019-11-18 09:21:20	ga_ls7e_ard_3-1-0_094067_2019-11-17_final
2019-12-08 09:01:13	ga_ls7e_ard_3-1-0_090081_2019-12-07_final
2019-12-08 09:01:37	ga_ls7e_ard_3-1-0_090082_2019-12-07_final
2019-12-08 09:02:01	ga_ls7e_ard_3-1-0_090083_2019-12-07_final
2019-12-08 09:02:25	ga_ls7e_ard_3-1-0_090084_2019-12-07_final
2019-12-08 09:02:49	ga_ls7e_ard_3-1-0_090085_2019-12-07_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2020-01-05 09:18:55	ga_ls7e_ard_3-1-0_094067_2020-01-04_final
2020-01-14 09:15:05	ga_ls7e_ard_3-1-0_093074_2020-01-13_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