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 09:11:40	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
2010-05-05 09:13:16	ga_ls7e_ard_3-0-0_090086_2010-05-04_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
2010-07-24 09:12:55	ga_ls7e_ard_3-0-0_090085_2010-07-23_final
2010-07-24 09:13:19	ga_ls7e_ard_3-0-0_090086_2010-07-23_final
2010-08-16 09:16:18	ga_ls7e_ard_3-0-0_091078_2010-08-15_final
2010-08-16 09:16:42	ga_ls7e_ard_3-0-0_091079_2010-08-15_final
2010-08-16 09:17:06	ga_ls7e_ard_3-0-0_091080_2010-08-15_final
2010-08-16 09:17:30	ga_ls7e_ard_3-0-0_091081_2010-08-15_final
2010-08-16 09:17:54	ga_ls7e_ard_3-0-0_091082_2010-08-15_final
2010-08-16 09:18:42	ga_ls7e_ard_3-0-0_091084_2010-08-15_final
2014-03-29 09:16:27	ga_ls7e_ard_3-0-0_090082_2014-03-28_final
2014-03-29 09:16:51	ga_ls7e_ard_3-0-0_090083_2014-03-28_final
2014-03-29 09:17:15	ga_ls7e_ard_3-0-0_090084_2014-03-28_final
2014-03-29 09:17:39	ga_ls7e_ard_3-1-0_090085_2014-03-28_final
2014-03-29 09:18:03	ga_ls7e_ard_3-0-0_090086_2014-03-28_final
2014-04-07 09:13:05	ga_ls7e_ard_3-1-0_089089_2014-04-06_final
2014-04-07 09:13:29	ga_ls7e_ard_3-0-0_089090_2014-04-06_final
2014-05-09 09:11:46	ga_ls7e_ard_3-0-0_089085_2014-05-08_final
2014-05-09 09:12:10	ga_ls7e_ard_3-0-0_089086_2014-05-08_final
2014-05-09 09:13:21	ga_ls7e_ard_3-0-0_089089_2014-05-08_final
2014-05-09 09:13:45	ga_ls7e_ard_3-0-0_089090_2014-05-08_final
2014-05-23 09:22:14	ga_ls7e_ard_3-0-0_091080_2014-05-22_final
2014-05-23 09:22:38	ga_ls7e_ard_3-1-0_091081_2014-05-22_final
2014-05-23 09:23:02	ga_ls7e_ard_3-0-0_091082_2014-05-22_final
2014-05-23 09:23:26	ga_ls7e_ard_3-0-0_091083_2014-05-22_final
2014-06-26 09:11:58	ga_ls7e_ard_3-0-0_089085_2014-06-25_final
2014-06-26 09:12:22	ga_ls7e_ard_3-0-0_089086_2014-06-25_final
2014-06-26 09:13:34	ga_ls7e_ard_3-1-0_089089_2014-06-25_final
2014-06-26 09:13:58	ga_ls7e_ard_3-0-0_089090_2014-06-25_final
2014-08-02 09:26:42	ga_ls7e_ard_3-0-0_092075_2014-08-01_final
2014-08-02 09:27:06	ga_ls7e_ard_3-0-0_092076_2014-08-01_final
2014-08-02 09:27:30	ga_ls7e_ard_3-0-0_092077_2014-08-01_final
2014-08-02 09:27:54	ga_ls7e_ard_3-0-0_092078_2014-08-01_final
2014-08-02 09:28:18	ga_ls7e_ard_3-0-0_092079_2014-08-01_final
2014-08-04 09:17:09	ga_ls7e_ard_3-0-0_090082_2014-08-03_final
2014-08-04 09:17:32	ga_ls7e_ard_3-0-0_090083_2014-08-03_final
2014-08-04 09:17:56	ga_ls7e_ard_3-0-0_090084_2014-08-03_final
2014-08-04 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-08-03_final
2014-08-04 09:18:44	ga_ls7e_ard_3-0-0_090086_2014-08-03_final
2014-08-25 09:32:27	ga_ls7e_ard_3-0-0_093074_2014-08-25_final
2014-08-25 09:32:51	ga_ls7e_ard_3-0-0_093075_2014-08-25_final
2014-08-27 09:21:41	ga_ls7e_ard_3-0-0_091078_2014-08-26_final
2014-08-27 09:22:05	ga_ls7e_ard_3-0-0_091079_2014-08-26_final
2014-08-27 09:22:29	ga_ls7e_ard_3-0-0_091080_2014-08-26_final
2014-08-27 09:23:17	ga_ls7e_ard_3-0-0_091082_2014-08-26_final
2014-08-27 09:23:41	ga_ls7e_ard_3-0-0_091083_2014-08-26_final
2014-08-27 09:24:05	ga_ls7e_ard_3-0-0_091084_2014-08-26_final
2014-09-12 09:21:41	ga_ls7e_ard_3-0-0_091078_2014-09-11_final
2014-09-12 09:22:05	ga_ls7e_ard_3-0-0_091079_2014-09-11_final
2014-09-12 09:22:29	ga_ls7e_ard_3-0-0_091080_2014-09-11_final
2014-09-12 09:22:53	ga_ls7e_ard_3-0-0_091081_2014-09-11_final
2014-09-12 09:23:17	ga_ls7e_ard_3-0-0_091082_2014-09-11_final
2014-09-12 09:23:41	ga_ls7e_ard_3-0-0_091083_2014-09-11_final
2014-09-12 09:24:05	ga_ls7e_ard_3-0-0_091084_2014-09-11_final
2014-10-07 09:17:25	ga_ls7e_ard_3-0-0_090082_2014-10-06_final
2014-10-07 09:17:49	ga_ls7e_ard_3-0-0_090083_2014-10-06_final
2014-10-07 09:18:13	ga_ls7e_ard_3-0-0_090084_2014-10-06_final
2014-10-07 09:18:37	ga_ls7e_ard_3-1-0_090085_2014-10-06_final
2014-10-19 09:36:16	ga_ls7e_ard_3-1-0_094067_2014-10-19_final
2014-10-21 09:27:07	ga_ls7e_ard_3-0-0_092075_2014-10-20_final
2014-10-21 09:27:31	ga_ls7e_ard_3-0-0_092076_2014-10-20_final
2014-10-21 09:27:55	ga_ls7e_ard_3-0-0_092077_2014-10-20_final
2014-10-21 09:28:19	ga_ls7e_ard_3-0-0_092078_2014-10-20_final
2014-10-21 09:28:43	ga_ls7e_ard_3-0-0_092079_2014-10-20_final
2019-06-24 09:04:12	ga_ls7e_ard_3-0-0_089086_2019-06-23_final
2019-06-27 09:27:24	ga_ls7e_ard_3-1-0_094067_2019-06-26_final
2019-06-29 09:18:09	ga_ls7e_ard_3-0-0_092075_2019-06-28_final
2019-06-29 09:18:33	ga_ls7e_ard_3-0-0_092076_2019-06-28_final
2019-06-29 09:18:57	ga_ls7e_ard_3-0-0_092077_2019-06-28_final
2019-06-29 09:19:21	ga_ls7e_ard_3-0-0_092078_2019-06-28_final
2019-06-29 09:19:45	ga_ls7e_ard_3-0-0_092079_2019-06-28_final
2019-07-01 09:08:31	ga_ls7e_ard_3-0-0_090082_2019-06-30_final
2019-07-01 09:08:55	ga_ls7e_ard_3-0-0_090083_2019-06-30_final
2019-07-01 09:09:19	ga_ls7e_ard_3-0-0_090084_2019-06-30_final
2019-07-01 09:09:43	ga_ls7e_ard_3-1-0_090085_2019-06-30_final
2019-07-01 09:10:07	ga_ls7e_ard_3-0-0_090086_2019-06-30_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-11-11 09:18:40	ga_ls7e_ard_3-1-0_093075_2019-11-10_final
2019-11-13 09:07:24	ga_ls7e_ard_3-1-0_091078_2019-11-12_final
2019-11-13 09:07:48	ga_ls7e_ard_3-1-0_091079_2019-11-12_final
2019-11-13 09:08:12	ga_ls7e_ard_3-1-0_091080_2019-11-12_final
2019-11-13 09:08:36	ga_ls7e_ard_3-1-0_091081_2019-11-12_final
2019-11-13 09:09:00	ga_ls7e_ard_3-1-0_091082_2019-11-12_final
2019-11-13 09:09:24	ga_ls7e_ard_3-1-0_091083_2019-11-12_final
2019-11-13 09:09:48	ga_ls7e_ard_3-1-0_091084_2019-11-12_final
2019-11-15 08:58:09	ga_ls7e_ard_3-1-0_089086_2019-11-14_final
2019-12-13 09:16:43	ga_ls7e_ard_3-1-0_093074_2019-12-12_final
2019-12-13 09:17:07	ga_ls7e_ard_3-1-0_093075_2019-12-12_final
2019-12-15 09:05:51	ga_ls7e_ard_3-1-0_091078_2019-12-14_final
2019-12-15 09:06:15	ga_ls7e_ard_3-1-0_091079_2019-12-14_final
2019-12-15 09:06:39	ga_ls7e_ard_3-1-0_091080_2019-12-14_final
2019-12-15 09:07:03	ga_ls7e_ard_3-1-0_091081_2019-12-14_final
2019-12-15 09:07:27	ga_ls7e_ard_3-1-0_091082_2019-12-14_final
2019-12-15 09:07:51	ga_ls7e_ard_3-1-0_091083_2019-12-14_final
2019-12-15 09:08:15	ga_ls7e_ard_3-1-0_091084_2019-12-14_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