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
2001-07-04 09:24:12	ga_ls7e_ard_3-0-0_093074_2001-07-03_final
2001-07-04 09:24:36	ga_ls7e_ard_3-0-0_093075_2001-07-03_final
2001-07-04 09:25:00	ga_ls7e_ard_3-0-0_093076_2001-07-03_final
2001-07-06 09:15:02	ga_ls7e_ard_3-0-0_091082_2001-07-05_final
2001-07-06 09:15:26	ga_ls7e_ard_3-0-0_091083_2001-07-05_final
2001-07-06 09:15:50	ga_ls7e_ard_3-0-0_091084_2001-07-05_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 09:08:11	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
2001-12-20 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
2001-12-20 09:19:19	ga_ls7e_ard_3-0-0_092079_2001-12-19_final
2001-12-20 09:19:43	ga_ls7e_ard_3-0-0_092080_2001-12-19_final
2001-12-20 09:20:07	ga_ls7e_ard_3-0-0_092081_2001-12-19_final
2010-05-10 09:26:59	ga_ls7e_ard_3-0-0_093074_2010-05-09_final
2010-05-10 09:27:23	ga_ls7e_ard_3-0-0_093075_2010-05-09_final
2010-05-10 09:27:47	ga_ls7e_ard_3-0-0_093076_2010-05-09_final
2010-06-22 09:12:03	ga_ls7e_ard_3-0-0_090083_2010-06-21_final
2010-06-22 09:12:27	ga_ls7e_ard_3-0-0_090084_2010-06-21_final
2010-06-22 09:12:51	ga_ls7e_ard_3-1-0_090085_2010-06-21_final
2010-06-22 09:13:15	ga_ls7e_ard_3-0-0_090086_2010-06-21_final
2010-06-22 09:14:03	ga_ls7e_ard_3-0-0_090088_2010-06-21_final
2010-06-22 09:14:27	ga_ls7e_ard_3-0-0_090089_2010-06-21_final
2010-08-21 09:30:28	ga_ls7e_ard_3-1-0_094067_2010-08-21_final
2010-08-23 09:21:19	ga_ls7e_ard_3-0-0_092075_2010-08-22_final
2010-08-23 09:22:06	ga_ls7e_ard_3-0-0_092077_2010-08-22_final
2010-10-10 09:23:23	ga_ls7e_ard_3-0-0_092080_2010-10-09_final
2010-10-10 09:23:46	ga_ls7e_ard_3-0-0_092081_2010-10-09_final
2010-10-12 09:12:14	ga_ls7e_ard_3-0-0_090083_2010-10-11_final
2010-10-12 09:12:38	ga_ls7e_ard_3-0-0_090084_2010-10-11_final
2010-10-12 09:13:02	ga_ls7e_ard_3-1-0_090085_2010-10-11_final
2010-11-27 09:21:55	ga_ls7e_ard_3-0-0_092075_2010-11-26_final
2010-11-27 09:22:19	ga_ls7e_ard_3-0-0_092076_2010-11-26_final
2010-11-27 09:23:31	ga_ls7e_ard_3-0-0_092079_2010-11-26_final
2010-11-27 09:23:55	ga_ls7e_ard_3-0-0_092080_2010-11-26_final
2010-11-27 09:24:19	ga_ls7e_ard_3-0-0_092081_2010-11-26_final
2010-11-29 09:14:46	ga_ls7e_ard_3-0-0_090088_2010-11-28_final
2010-11-29 09:15:10	ga_ls7e_ard_3-0-0_090089_2010-11-28_final
2018-10-07 09:32:15	ga_ls7e_ard_3-0-0_093074_2018-10-07_final
2018-10-07 09:32:38	ga_ls7e_ard_3-0-0_093075_2018-10-07_final
2018-10-07 09:33:26	ga_ls7e_ard_3-0-0_093077_2018-10-07_final
2018-10-09 09:21:50	ga_ls7e_ard_3-0-0_091079_2018-10-08_final
2018-10-09 09:22:14	ga_ls7e_ard_3-0-0_091080_2018-10-08_final
2018-10-09 09:22:38	ga_ls7e_ard_3-0-0_091081_2018-10-08_final
2018-10-09 09:23:01	ga_ls7e_ard_3-0-0_091082_2018-10-08_final
2018-10-09 09:23:25	ga_ls7e_ard_3-0-0_091083_2018-10-08_final
2018-10-09 09:23:49	ga_ls7e_ard_3-0-0_091084_2018-10-08_final
2018-10-09 09:24:13	ga_ls7e_ard_3-0-0_091085_2018-10-08_final
2018-10-18 09:17:01	ga_ls7e_ard_3-0-0_090083_2018-10-17_final
2018-10-18 09:17:25	ga_ls7e_ard_3-0-0_090084_2018-10-17_final
2018-10-18 09:17:49	ga_ls7e_ard_3-1-0_090085_2018-10-17_final
2018-10-18 09:18:13	ga_ls7e_ard_3-0-0_090086_2018-10-17_final
2018-10-18 09:19:01	ga_ls7e_ard_3-0-0_090088_2018-10-17_final
2018-10-21 09:41:29	ga_ls7e_ard_3-0-0_095067_2018-10-21_final
2018-11-10 09:21:06	ga_ls7e_ard_3-0-0_091079_2018-11-09_final
2018-11-10 09:21:30	ga_ls7e_ard_3-0-0_091080_2018-11-09_final
2018-11-10 09:21:54	ga_ls7e_ard_3-0-0_091081_2018-11-09_final
2018-11-10 09:22:18	ga_ls7e_ard_3-0-0_091082_2018-11-09_final
2018-11-10 09:22:42	ga_ls7e_ard_3-0-0_091083_2018-11-09_final
2018-11-10 09:23:06	ga_ls7e_ard_3-0-0_091084_2018-11-09_final
2018-11-10 09:23:30	ga_ls7e_ard_3-0-0_091085_2018-11-09_final
2018-12-19 09:24:41	ga_ls7e_ard_3-0-0_092075_2018-12-18_final
2018-12-19 09:25:28	ga_ls7e_ard_3-0-0_092077_2018-12-18_final
2018-12-19 09:25:52	ga_ls7e_ard_3-0-0_092078_2018-12-18_final
2018-12-19 09:26:16	ga_ls7e_ard_3-0-0_092079_2018-12-18_final
2018-12-19 09:26:40	ga_ls7e_ard_3-0-0_092080_2018-12-18_final
2018-12-19 09:27:04	ga_ls7e_ard_3-0-0_092081_2018-12-18_final
2018-12-21 09:15:27	ga_ls7e_ard_3-0-0_090083_2018-12-20_final
2018-12-21 09:17:27	ga_ls7e_ard_3-0-0_090088_2018-12-20_final
2018-12-21 09:17:51	ga_ls7e_ard_3-0-0_090089_2018-12-20_final
2019-01-09 09:39:24	ga_ls7e_ard_3-0-0_095067_2019-01-09_final
2019-01-11 09:30:34	ga_ls7e_ard_3-0-0_093076_2019-01-11_final
2019-01-11 09:30:58	ga_ls7e_ard_3-0-0_093077_2019-01-11_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
2019-02-05 09:24:47	ga_ls7e_ard_3-0-0_092079_2019-02-04_final
2019-02-05 09:25:11	ga_ls7e_ard_3-0-0_092080_2019-02-04_final
2019-02-05 09:25:35	ga_ls7e_ard_3-0-0_092081_2019-02-04_final
2019-04-17 09:26:39	ga_ls7e_ard_3-0-0_093074_2019-04-16_final
2019-04-17 09:27:03	ga_ls7e_ard_3-0-0_093075_2019-04-16_final
2019-04-17 09:27:27	ga_ls7e_ard_3-0-0_093076_2019-04-16_final
2019-04-17 09:27:51	ga_ls7e_ard_3-0-0_093077_2019-04-16_final
2019-04-19 09:16:13	ga_ls7e_ard_3-0-0_091079_2019-04-18_final
2019-04-19 09:16:37	ga_ls7e_ard_3-0-0_091080_2019-04-18_final
2019-04-19 09:17:01	ga_ls7e_ard_3-0-0_091081_2019-04-18_final
2019-04-19 09:17:25	ga_ls7e_ard_3-0-0_091082_2019-04-18_final
2019-04-19 09:17:49	ga_ls7e_ard_3-0-0_091083_2019-04-18_final
2019-04-19 09:18:13	ga_ls7e_ard_3-0-0_091084_2019-04-18_final
2019-04-19 09:18:37	ga_ls7e_ard_3-0-0_091085_2019-04-18_final
2019-05-21 09:14:59	ga_ls7e_ard_3-0-0_091079_2019-05-20_final
2019-05-21 09:15:23	ga_ls7e_ard_3-0-0_091080_2019-05-20_final
2019-05-21 09:15:47	ga_ls7e_ard_3-0-0_091081_2019-05-20_final
2019-05-21 09:16:11	ga_ls7e_ard_3-0-0_091082_2019-05-20_final
2019-05-21 09:16:35	ga_ls7e_ard_3-0-0_091083_2019-05-20_final
2019-05-21 09:16:59	ga_ls7e_ard_3-0-0_091084_2019-05-20_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