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
2010-06-04 09:21:12	ga_ls7e_ard_3-0-0_092075_2010-06-03_final
2010-06-06 09:10:02	ga_ls7e_ard_3-0-0_090078_2010-06-05_final
2010-06-06 09:10:26	ga_ls7e_ard_3-0-0_090079_2010-06-05_final
2010-06-06 09:10:50	ga_ls7e_ard_3-0-0_090080_2010-06-05_final
2010-06-06 09:11:14	ga_ls7e_ard_3-0-0_090081_2010-06-05_final
2010-06-06 09:11:38	ga_ls7e_ard_3-0-0_090082_2010-06-05_final
2010-06-06 09:12:02	ga_ls7e_ard_3-0-0_090083_2010-06-05_final
2010-06-06 09:12:26	ga_ls7e_ard_3-0-0_090084_2010-06-05_final
2010-07-22 09:21:17	ga_ls7e_ard_3-0-0_092075_2010-07-21_final
2010-07-24 09:10:07	ga_ls7e_ard_3-0-0_090078_2010-07-23_final
2010-07-24 09:10:31	ga_ls7e_ard_3-0-0_090079_2010-07-23_final
2010-07-24 09:10:55	ga_ls7e_ard_3-0-0_090080_2010-07-23_final
2010-07-24 09:11:19	ga_ls7e_ard_3-0-0_090081_2010-07-23_final
2010-07-24 09:11:43	ga_ls7e_ard_3-0-0_090082_2010-07-23_final
2010-07-24 09:12:07	ga_ls7e_ard_3-0-0_090083_2010-07-23_final
2010-07-24 09:12:31	ga_ls7e_ard_3-0-0_090084_2010-07-23_final
2010-08-09 09:10:06	ga_ls7e_ard_3-0-0_090078_2010-08-08_final
2010-08-09 09:10:30	ga_ls7e_ard_3-0-0_090079_2010-08-08_final
2010-08-09 09:10:54	ga_ls7e_ard_3-0-0_090080_2010-08-08_final
2010-08-09 09:11:18	ga_ls7e_ard_3-0-0_090081_2010-08-08_final
2010-08-09 09:11:42	ga_ls7e_ard_3-0-0_090082_2010-08-08_final
2010-08-09 09:12:06	ga_ls7e_ard_3-0-0_090083_2010-08-08_final
2010-08-09 09:12:30	ga_ls7e_ard_3-0-0_090084_2010-08-08_final
2010-09-01 09:15:33	ga_ls7e_ard_3-0-0_091076_2010-08-31_final
2010-09-01 09:15:57	ga_ls7e_ard_3-0-0_091077_2010-08-31_final
2010-09-01 09:16:21	ga_ls7e_ard_3-0-0_091078_2010-08-31_final
2010-09-01 09:16:45	ga_ls7e_ard_3-0-0_091079_2010-08-31_final
2010-09-01 09:17:09	ga_ls7e_ard_3-0-0_091080_2010-08-31_final
2010-09-03 09:06:47	ga_ls7e_ard_3-0-0_089085_2010-09-02_final
2010-09-03 09:07:11	ga_ls7e_ard_3-0-0_089086_2010-09-02_final
2010-12-13 09:22:04	ga_ls7e_ard_3-0-0_092075_2010-12-12_final
2010-12-15 09:10:55	ga_ls7e_ard_3-0-0_090078_2010-12-14_final
2010-12-15 09:11:19	ga_ls7e_ard_3-0-0_090079_2010-12-14_final
2010-12-15 09:11:43	ga_ls7e_ard_3-0-0_090080_2010-12-14_final
2010-12-15 09:12:07	ga_ls7e_ard_3-0-0_090081_2010-12-14_final
2010-12-15 09:12:31	ga_ls7e_ard_3-0-0_090082_2010-12-14_final
2010-12-15 09:12:55	ga_ls7e_ard_3-0-0_090083_2010-12-14_final
2010-12-15 09:13:19	ga_ls7e_ard_3-0-0_090084_2010-12-14_final
2010-12-22 09:17:08	ga_ls7e_ard_3-0-0_091078_2010-12-21_final
2010-12-22 09:17:32	ga_ls7e_ard_3-0-0_091079_2010-12-21_final
2010-12-22 09:17:56	ga_ls7e_ard_3-0-0_091080_2010-12-21_final
2018-04-02 09:14:16	ga_ls7e_ard_3-0-0_089082_2018-04-01_final
2018-04-02 09:14:40	ga_ls7e_ard_3-0-0_089083_2018-04-01_final
2018-04-02 09:15:04	ga_ls7e_ard_3-0-0_089084_2018-04-01_final
2018-04-02 09:15:28	ga_ls7e_ard_3-0-0_089085_2018-04-01_final
2018-04-02 09:15:52	ga_ls7e_ard_3-0-0_089086_2018-04-01_final
2018-08-22 09:21:43	ga_ls7e_ard_3-0-0_091076_2018-08-21_final
2018-08-22 09:22:07	ga_ls7e_ard_3-0-0_091077_2018-08-21_final
2018-08-22 09:22:31	ga_ls7e_ard_3-0-0_091078_2018-08-21_final
2018-08-22 09:22:55	ga_ls7e_ard_3-0-0_091079_2018-08-21_final
2018-08-22 09:23:19	ga_ls7e_ard_3-0-0_091080_2018-08-21_final
2018-08-24 09:11:42	ga_ls7e_ard_3-0-0_089082_2018-08-23_final
2018-08-24 09:12:06	ga_ls7e_ard_3-0-0_089083_2018-08-23_final
2018-08-24 09:12:30	ga_ls7e_ard_3-0-0_089084_2018-08-23_final
2018-08-24 09:12:54	ga_ls7e_ard_3-0-0_089085_2018-08-23_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_final
2018-09-07 09:21:23	ga_ls7e_ard_3-0-0_091076_2018-09-06_final
2018-09-07 09:21:47	ga_ls7e_ard_3-0-0_091077_2018-09-06_final
2018-09-07 09:22:11	ga_ls7e_ard_3-0-0_091078_2018-09-06_final
2018-09-07 09:22:35	ga_ls7e_ard_3-0-0_091079_2018-09-06_final
2018-09-07 09:22:59	ga_ls7e_ard_3-0-0_091080_2018-09-06_final
2018-09-09 09:11:22	ga_ls7e_ard_3-0-0_089082_2018-09-08_final
2018-09-09 09:11:46	ga_ls7e_ard_3-0-0_089083_2018-09-08_final
2018-09-09 09:12:10	ga_ls7e_ard_3-0-0_089084_2018-09-08_final
2018-09-09 09:12:34	ga_ls7e_ard_3-0-0_089085_2018-09-08_final
2018-12-28 09:18:38	ga_ls7e_ard_3-0-0_091076_2018-12-27_final
2018-12-28 09:19:26	ga_ls7e_ard_3-0-0_091078_2018-12-27_final
2018-12-28 09:19:50	ga_ls7e_ard_3-0-0_091079_2018-12-27_final
2018-12-28 09:20:14	ga_ls7e_ard_3-0-0_091080_2018-12-27_final
2018-12-30 09:08:36	ga_ls7e_ard_3-0-0_089082_2018-12-29_final
2018-12-30 09:09:00	ga_ls7e_ard_3-0-0_089083_2018-12-29_final
2018-12-30 09:09:24	ga_ls7e_ard_3-0-0_089084_2018-12-29_final
2018-12-30 09:09:48	ga_ls7e_ard_3-0-0_089085_2018-12-29_final
2019-01-04 09:24:12	ga_ls7e_ard_3-0-0_092075_2019-01-03_final
2019-01-04 09:24:36	ga_ls7e_ard_3-0-0_092076_2019-01-03_final
2019-01-06 09:13:22	ga_ls7e_ard_3-0-0_090079_2019-01-05_final
2019-01-06 09:13:46	ga_ls7e_ard_3-0-0_090080_2019-01-05_final
2019-01-06 09:14:10	ga_ls7e_ard_3-0-0_090081_2019-01-05_final
2019-01-06 09:14:34	ga_ls7e_ard_3-1-0_090082_2019-01-05_final
2019-01-06 09:15:22	ga_ls7e_ard_3-0-0_090084_2019-01-05_final
2019-03-02 09:16:39	ga_ls7e_ard_3-1-0_091076_2019-03-01_final
2019-03-02 09:17:03	ga_ls7e_ard_3-1-0_091077_2019-03-01_final
2019-03-02 09:17:51	ga_ls7e_ard_3-1-0_091079_2019-03-01_final
2019-03-02 09:18:15	ga_ls7e_ard_3-1-0_091080_2019-03-01_final
2019-03-04 09:07:01	ga_ls7e_ard_3-1-0_089083_2019-03-03_final
2019-03-04 09:07:25	ga_ls7e_ard_3-1-0_089084_2019-03-03_final
2019-03-04 09:07:49	ga_ls7e_ard_3-1-0_089085_2019-03-03_final
2019-03-04 09:08:13	ga_ls7e_ard_3-1-0_089086_2019-03-03_final
2019-03-09 09:22:13	ga_ls7e_ard_3-1-0_092075_2019-03-08_final
2019-04-03 09:15:35	ga_ls7e_ard_3-0-0_091076_2019-04-02_final
2019-04-03 09:15:59	ga_ls7e_ard_3-0-0_091077_2019-04-02_final
2019-04-03 09:16:23	ga_ls7e_ard_3-0-0_091078_2019-04-02_final
2019-04-03 09:16:47	ga_ls7e_ard_3-0-0_091079_2019-04-02_final
2019-04-03 09:17:11	ga_ls7e_ard_3-0-0_091080_2019-04-02_final
2019-06-06 09:13:13	ga_ls7e_ard_3-0-0_091076_2019-06-05_final
2019-06-06 09:13:37	ga_ls7e_ard_3-0-0_091077_2019-06-05_final
2019-06-06 09:14:01	ga_ls7e_ard_3-0-0_091078_2019-06-05_final
2019-06-06 09:14:25	ga_ls7e_ard_3-0-0_091079_2019-06-05_final
2019-06-06 09:14:49	ga_ls7e_ard_3-0-0_091080_2019-06-05_final
2019-06-08 09:04:23	ga_ls7e_ard_3-0-0_089085_2019-06-07_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