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
2010-05-05 09:10:04	ga_ls7e_ard_3-0-0_090078_2010-05-04_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
2010-05-12 09:15:25	ga_ls7e_ard_3-0-0_091076_2010-05-11_final
2010-05-12 09:15:49	ga_ls7e_ard_3-0-0_091077_2010-05-11_final
2010-05-12 09:16:13	ga_ls7e_ard_3-0-0_091078_2010-05-11_final
2010-05-12 09:16:37	ga_ls7e_ard_3-0-0_091079_2010-05-11_final
2010-06-11 09:24:11	ga_ls7e_ard_3-0-0_093067_2010-06-10_final
2010-06-13 09:15:25	ga_ls7e_ard_3-0-0_091076_2010-06-12_final
2010-06-13 09:15:49	ga_ls7e_ard_3-0-0_091077_2010-06-12_final
2010-06-13 09:16:37	ga_ls7e_ard_3-0-0_091079_2010-06-12_final
2010-06-15 09:05:27	ga_ls7e_ard_3-0-0_089082_2010-06-14_final
2010-06-15 09:05:51	ga_ls7e_ard_3-0-0_089083_2010-06-14_final
2010-06-15 09:06:15	ga_ls7e_ard_3-0-0_089084_2010-06-14_final
2010-06-15 09:06:39	ga_ls7e_ard_3-0-0_089085_2010-06-14_final
2010-06-15 09:07:03	ga_ls7e_ard_3-0-0_089086_2010-06-14_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
2010-10-03 09:15:31	ga_ls7e_ard_3-0-0_091076_2010-10-02_final
2010-10-03 09:15:55	ga_ls7e_ard_3-0-0_091077_2010-10-02_final
2010-10-03 09:16:19	ga_ls7e_ard_3-0-0_091078_2010-10-02_final
2010-10-03 09:16:42	ga_ls7e_ard_3-0-0_091079_2010-10-02_final
2017-12-27 09:15:57	ga_ls7e_ard_3-0-0_089083_2017-12-26_final
2017-12-27 09:16:21	ga_ls7e_ard_3-0-0_089084_2017-12-26_final
2017-12-27 09:16:44	ga_ls7e_ard_3-0-0_089085_2017-12-26_final
2017-12-27 09:17:08	ga_ls7e_ard_3-0-0_089086_2017-12-26_final
2018-01-03 09:20:02	ga_ls7e_ard_3-0-0_090078_2018-01-02_final
2018-01-03 09:20:26	ga_ls7e_ard_3-0-0_090079_2018-01-02_final
2018-01-03 09:20:50	ga_ls7e_ard_3-0-0_090080_2018-01-02_final
2018-01-03 09:21:14	ga_ls7e_ard_3-0-0_090081_2018-01-02_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-01-03 09:22:02	ga_ls7e_ard_3-0-0_090083_2018-01-02_final
2018-01-12 09:15:20	ga_ls7e_ard_3-0-0_089082_2018-01-11_final
2018-01-12 09:15:44	ga_ls7e_ard_3-0-0_089083_2018-01-11_final
2018-01-19 09:19:48	ga_ls7e_ard_3-0-0_090078_2018-01-18_final
2018-03-06 09:30:23	ga_ls7e_ard_3-0-0_092075_2018-03-06_final
2018-03-08 09:19:11	ga_ls7e_ard_3-0-0_090078_2018-03-07_final
2018-03-08 09:19:35	ga_ls7e_ard_3-0-0_090079_2018-03-07_final
2018-03-08 09:19:59	ga_ls7e_ard_3-0-0_090080_2018-03-07_final
2018-03-08 09:20:23	ga_ls7e_ard_3-0-0_090081_2018-03-07_final
2018-03-08 09:20:47	ga_ls7e_ard_3-0-0_090082_2018-03-07_final
2018-03-08 09:21:11	ga_ls7e_ard_3-0-0_090083_2018-03-07_final
2018-04-16 09:24:00	ga_ls7e_ard_3-0-0_091076_2018-04-15_final
2018-04-16 09:24:24	ga_ls7e_ard_3-0-0_091077_2018-04-15_final
2018-04-16 09:24:48	ga_ls7e_ard_3-0-0_091078_2018-04-15_final
2018-04-16 09:25:12	ga_ls7e_ard_3-0-0_091079_2018-04-15_final
2018-04-18 09:14:01	ga_ls7e_ard_3-0-0_089082_2018-04-17_final
2018-04-18 09:15:12	ga_ls7e_ard_3-0-0_089085_2018-04-17_final
2018-04-18 09:15:36	ga_ls7e_ard_3-0-0_089086_2018-04-17_final
2018-05-02 09:23:43	ga_ls7e_ard_3-0-0_091076_2018-05-01_final
2018-05-02 09:24:07	ga_ls7e_ard_3-0-0_091077_2018-05-01_final
2018-05-02 09:24:31	ga_ls7e_ard_3-0-0_091078_2018-05-01_final
2018-05-02 09:24:55	ga_ls7e_ard_3-0-0_091079_2018-05-01_final
2018-05-18 09:23:27	ga_ls7e_ard_3-0-0_091076_2018-05-17_final
2018-05-18 09:23:51	ga_ls7e_ard_3-0-0_091077_2018-05-17_final
2018-05-18 09:24:15	ga_ls7e_ard_3-0-0_091078_2018-05-17_final
2018-05-18 09:24:39	ga_ls7e_ard_3-0-0_091079_2018-05-17_final
2018-06-03 09:23:12	ga_ls7e_ard_3-0-0_091076_2018-06-02_final
2018-06-03 09:23:36	ga_ls7e_ard_3-0-0_091077_2018-06-02_final
2018-06-03 09:24:00	ga_ls7e_ard_3-0-0_091078_2018-06-02_final
2018-06-03 09:24:24	ga_ls7e_ard_3-0-0_091079_2018-06-02_final
2018-06-05 09:13:12	ga_ls7e_ard_3-0-0_089082_2018-06-04_final
2018-06-05 09:14:24	ga_ls7e_ard_3-0-0_089085_2018-06-04_final
2018-06-05 09:14:48	ga_ls7e_ard_3-0-0_089086_2018-06-04_final
2018-06-10 09:28:52	ga_ls7e_ard_3-0-0_092075_2018-06-09_final
2018-06-21 09:13:43	ga_ls7e_ard_3-0-0_089084_2018-06-20_final
2018-06-21 09:14:06	ga_ls7e_ard_3-0-0_089085_2018-06-20_final
2018-06-21 09:14:30	ga_ls7e_ard_3-0-0_089086_2018-06-20_final
2018-07-05 09:22:36	ga_ls7e_ard_3-0-0_091076_2018-07-04_final
2018-07-05 09:23:00	ga_ls7e_ard_3-0-0_091077_2018-07-04_final
2018-07-05 09:23:24	ga_ls7e_ard_3-0-0_091078_2018-07-04_final
2018-07-05 09:23:48	ga_ls7e_ard_3-0-0_091079_2018-07-04_final
2018-07-07 09:12:35	ga_ls7e_ard_3-0-0_089082_2018-07-06_final
2018-07-07 09:12:59	ga_ls7e_ard_3-0-0_089083_2018-07-06_final
2018-07-07 09:13:23	ga_ls7e_ard_3-0-0_089084_2018-07-06_final
2018-07-07 09:13:47	ga_ls7e_ard_3-0-0_089085_2018-07-06_final
2018-07-07 09:14:11	ga_ls7e_ard_3-0-0_089086_2018-07-06_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
2018-08-24 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
2018-08-29 09:27:21	ga_ls7e_ard_3-0-0_092075_2018-08-28_final
2018-08-31 09:16:09	ga_ls7e_ard_3-0-0_090078_2018-08-30_final
2018-08-31 09:16:33	ga_ls7e_ard_3-0-0_090079_2018-08-30_final
2018-08-31 09:16:57	ga_ls7e_ard_3-0-0_090080_2018-08-30_final
2018-08-31 09:17:21	ga_ls7e_ard_3-0-0_090081_2018-08-30_final
2018-08-31 09:17:45	ga_ls7e_ard_3-0-0_090082_2018-08-30_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