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
2005-04-26 09:21:36	ga_ls7e_ard_3-0-0_093067_2005-04-25_final
2005-04-28 09:12:51	ga_ls7e_ard_3-0-0_091076_2005-04-27_final
2005-04-28 09:13:15	ga_ls7e_ard_3-0-0_091077_2005-04-27_final
2005-04-28 09:13:39	ga_ls7e_ard_3-0-0_091078_2005-04-27_final
2005-04-28 09:14:03	ga_ls7e_ard_3-0-0_091079_2005-04-27_final
2005-04-28 09:14:27	ga_ls7e_ard_3-0-0_091080_2005-04-27_final
2005-04-28 09:14:51	ga_ls7e_ard_3-0-0_091081_2005-04-27_final
2005-06-15 09:13:55	ga_ls7e_ard_3-0-0_091079_2005-06-14_final
2005-06-15 09:14:19	ga_ls7e_ard_3-0-0_091080_2005-06-14_final
2005-06-15 09:14:43	ga_ls7e_ard_3-0-0_091081_2005-06-14_final
2005-07-08 09:18:29	ga_ls7e_ard_3-0-0_092075_2005-07-07_final
2005-07-08 09:18:53	ga_ls7e_ard_3-0-0_092076_2005-07-07_final
2005-07-10 09:07:43	ga_ls7e_ard_3-0-0_090079_2005-07-09_final
2005-07-10 09:08:07	ga_ls7e_ard_3-0-0_090080_2005-07-09_final
2005-07-10 09:08:31	ga_ls7e_ard_3-0-0_090081_2005-07-09_final
2005-07-10 09:08:55	ga_ls7e_ard_3-0-0_090082_2005-07-09_final
2005-07-10 09:09:19	ga_ls7e_ard_3-0-0_090083_2005-07-09_final
2005-07-10 09:09:43	ga_ls7e_ard_3-0-0_090084_2005-07-09_final
2005-07-10 09:10:07	ga_ls7e_ard_3-1-0_090085_2005-07-09_final
2005-09-03 09:12:27	ga_ls7e_ard_3-0-0_091076_2005-09-02_final
2005-09-03 09:12:51	ga_ls7e_ard_3-0-0_091077_2005-09-02_final
2005-09-03 09:13:15	ga_ls7e_ard_3-0-0_091078_2005-09-02_final
2005-09-03 09:13:39	ga_ls7e_ard_3-0-0_091079_2005-09-02_final
2005-09-03 09:14:03	ga_ls7e_ard_3-0-0_091080_2005-09-02_final
2010-05-05 09:10:28	ga_ls7e_ard_3-0-0_090079_2010-05-04_final
2010-05-05 09:10:52	ga_ls7e_ard_3-0-0_090080_2010-05-04_final
2010-05-05 09:11:16	ga_ls7e_ard_3-0-0_090081_2010-05-04_final
2010-05-05 09:11:40	ga_ls7e_ard_3-0-0_090082_2010-05-04_final
2010-05-05 09:12:04	ga_ls7e_ard_3-0-0_090083_2010-05-04_final
2010-05-05 09:12:52	ga_ls7e_ard_3-0-0_090085_2010-05-04_final
2015-09-01 09:15:56	ga_ls7e_ard_3-0-0_089089_2015-08-31_final
2015-09-08 09:18:11	ga_ls7e_ard_3-0-0_090079_2015-09-07_final
2015-09-08 09:18:35	ga_ls7e_ard_3-0-0_090080_2015-09-07_final
2015-09-08 09:18:59	ga_ls7e_ard_3-0-0_090081_2015-09-07_final
2015-09-08 09:19:23	ga_ls7e_ard_3-0-0_090082_2015-09-07_final
2015-09-08 09:19:47	ga_ls7e_ard_3-0-0_090083_2015-09-07_final
2015-09-08 09:20:10	ga_ls7e_ard_3-0-0_090084_2015-09-07_final
2015-09-08 09:20:34	ga_ls7e_ard_3-1-0_090085_2015-09-07_final
2015-09-15 09:23:12	ga_ls7e_ard_3-0-0_091076_2015-09-14_final
2015-09-15 09:23:36	ga_ls7e_ard_3-0-0_091077_2015-09-14_final
2015-09-15 09:24:00	ga_ls7e_ard_3-0-0_091078_2015-09-14_final
2015-09-15 09:24:24	ga_ls7e_ard_3-0-0_091079_2015-09-14_final
2015-09-15 09:24:48	ga_ls7e_ard_3-0-0_091080_2015-09-14_final
2015-09-15 09:25:12	ga_ls7e_ard_3-1-0_091081_2015-09-14_final
2015-09-29 09:32:01	ga_ls7e_ard_3-0-0_093067_2015-09-29_final
2015-10-15 09:32:15	ga_ls7e_ard_3-0-0_093067_2015-10-15_final
2015-10-19 09:13:59	ga_ls7e_ard_3-0-0_089083_2015-10-18_final
2015-10-19 09:14:23	ga_ls7e_ard_3-0-0_089084_2015-10-18_final
2015-10-19 09:14:47	ga_ls7e_ard_3-0-0_089085_2015-10-18_final
2015-10-19 09:15:11	ga_ls7e_ard_3-0-0_089086_2015-10-18_final
2015-10-19 09:16:23	ga_ls7e_ard_3-1-0_089089_2015-10-18_final
2015-10-24 09:29:25	ga_ls7e_ard_3-0-0_092075_2015-10-23_final
2015-10-24 09:29:49	ga_ls7e_ard_3-1-0_092076_2015-10-23_final
2015-10-26 09:18:40	ga_ls7e_ard_3-0-0_090079_2015-10-25_final
2015-10-26 09:19:04	ga_ls7e_ard_3-0-0_090080_2015-10-25_final
2015-10-26 09:19:28	ga_ls7e_ard_3-0-0_090081_2015-10-25_final
2015-10-26 09:19:52	ga_ls7e_ard_3-0-0_090082_2015-10-25_final
2015-10-26 09:20:16	ga_ls7e_ard_3-0-0_090083_2015-10-25_final
2015-10-26 09:20:40	ga_ls7e_ard_3-0-0_090084_2015-10-25_final
2015-10-26 09:21:04	ga_ls7e_ard_3-0-0_090085_2015-10-25_final
2016-02-24 09:15:35	ga_ls7e_ard_3-0-0_089083_2016-02-23_final
2016-02-24 09:15:59	ga_ls7e_ard_3-0-0_089084_2016-02-23_final
2016-03-18 09:20:24	ga_ls7e_ard_3-0-0_090079_2016-03-17_final
2016-03-18 09:20:48	ga_ls7e_ard_3-0-0_090080_2016-03-17_final
2016-03-18 09:21:12	ga_ls7e_ard_3-0-0_090081_2016-03-17_final
2016-04-01 09:31:13	ga_ls7e_ard_3-0-0_092075_2016-04-01_final
2016-04-01 09:31:37	ga_ls7e_ard_3-0-0_092076_2016-04-01_final
2016-06-18 09:40:47	ga_ls7e_ard_3-1-0_094067_2016-06-18_final
2016-06-20 09:31:37	ga_ls7e_ard_3-0-0_092075_2016-06-20_final
2016-06-20 09:32:01	ga_ls7e_ard_3-0-0_092076_2016-06-20_final
2016-06-22 09:22:03	ga_ls7e_ard_3-0-0_090082_2016-06-21_final
2016-06-22 09:22:27	ga_ls7e_ard_3-0-0_090083_2016-06-21_final
2016-06-22 09:22:51	ga_ls7e_ard_3-0-0_090084_2016-06-21_final
2016-06-22 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-06-21_final
2016-07-01 09:16:17	ga_ls7e_ard_3-0-0_089083_2016-06-30_final
2016-07-01 09:16:41	ga_ls7e_ard_3-0-0_089084_2016-06-30_final
2016-07-01 09:17:04	ga_ls7e_ard_3-0-0_089085_2016-06-30_final
2016-07-01 09:17:28	ga_ls7e_ard_3-0-0_089086_2016-06-30_final
2016-07-15 09:27:02	ga_ls7e_ard_3-0-0_091079_2016-07-14_final
2016-07-15 09:27:26	ga_ls7e_ard_3-0-0_091080_2016-07-14_final
2016-07-15 09:27:50	ga_ls7e_ard_3-0-0_091081_2016-07-14_final
2016-09-17 09:26:00	ga_ls7e_ard_3-0-0_091076_2016-09-16_final
2016-09-17 09:26:23	ga_ls7e_ard_3-0-0_091077_2016-09-16_final
2016-09-17 09:26:47	ga_ls7e_ard_3-0-0_091078_2016-09-16_final
2016-09-17 09:27:11	ga_ls7e_ard_3-0-0_091079_2016-09-16_final
2016-09-17 09:27:35	ga_ls7e_ard_3-0-0_091080_2016-09-16_final
2016-09-17 09:27:59	ga_ls7e_ard_3-0-0_091081_2016-09-16_final
2016-11-09 09:40:50	ga_ls7e_ard_3-1-0_094067_2016-11-09_final
2016-11-11 09:31:38	ga_ls7e_ard_3-0-0_092075_2016-11-11_final
2016-11-11 09:32:02	ga_ls7e_ard_3-0-0_092076_2016-11-11_final
2016-11-13 09:20:51	ga_ls7e_ard_3-0-0_090079_2016-11-12_final
2016-11-13 09:21:15	ga_ls7e_ard_3-0-0_090080_2016-11-12_final
2016-11-13 09:21:39	ga_ls7e_ard_3-0-0_090081_2016-11-12_final
2016-11-13 09:22:03	ga_ls7e_ard_3-0-0_090082_2016-11-12_final
2016-11-13 09:22:27	ga_ls7e_ard_3-0-0_090083_2016-11-12_final
2016-11-13 09:22:51	ga_ls7e_ard_3-0-0_090084_2016-11-12_final
2016-11-13 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-11-12_final
2016-12-24 09:16:05	ga_ls7e_ard_3-0-0_089083_2016-12-23_final
2016-12-24 09:16:29	ga_ls7e_ard_3-0-0_089084_2016-12-23_final
2016-12-24 09:16:53	ga_ls7e_ard_3-0-0_089085_2016-12-23_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