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
2002-09-02 09:17:51	ga_ls7e_ard_3-0-0_092077_2002-09-01_final
2002-09-02 09:18:15	ga_ls7e_ard_3-0-0_092078_2002-09-01_final
2002-09-02 09:18:39	ga_ls7e_ard_3-0-0_092079_2002-09-01_final
2002-09-02 09:19:03	ga_ls7e_ard_3-0-0_092080_2002-09-01_final
2002-09-02 09:19:27	ga_ls7e_ard_3-0-0_092081_2002-09-01_final
2002-11-07 09:08:34	ga_ls7e_ard_3-1-0_090085_2002-11-06_final
2002-11-07 09:08:58	ga_ls7e_ard_3-0-0_090086_2002-11-06_final
2002-11-07 09:09:46	ga_ls7e_ard_3-0-0_090088_2002-11-06_final
2002-11-07 09:10:10	ga_ls7e_ard_3-0-0_090089_2002-11-06_final
2002-11-07 09:10:34	ga_ls7e_ard_3-0-0_090090_2002-11-06_final
2002-11-10 09:32:17	ga_ls7e_ard_3-0-0_095067_2002-11-10_final
2003-01-19 09:04:35	ga_ls7e_ard_3-1-0_089089_2003-01-18_final
2003-01-19 09:04:59	ga_ls7e_ard_3-0-0_089090_2003-01-18_final
2003-01-22 09:29:06	ga_ls7e_ard_3-1-0_094073_2003-01-21_final
2003-01-31 09:23:23	ga_ls7e_ard_3-0-0_093074_2003-01-30_final
2003-01-31 09:23:47	ga_ls7e_ard_3-0-0_093075_2003-01-30_final
2003-01-31 09:24:11	ga_ls7e_ard_3-0-0_093076_2003-01-30_final
2003-01-31 09:24:35	ga_ls7e_ard_3-0-0_093077_2003-01-30_final
2003-01-31 09:24:58	ga_ls7e_ard_3-0-0_093078_2003-01-30_final
2003-02-11 09:10:33	ga_ls7e_ard_3-0-0_090088_2003-02-10_final
2003-02-11 09:10:57	ga_ls7e_ard_3-0-0_090089_2003-02-10_final
2003-02-11 09:11:21	ga_ls7e_ard_3-0-0_090090_2003-02-10_final
2003-02-14 09:33:05	ga_ls7e_ard_3-0-0_095067_2003-02-14_final
2003-02-16 09:23:31	ga_ls7e_ard_3-0-0_093074_2003-02-15_final
2003-02-16 09:23:55	ga_ls7e_ard_3-0-0_093075_2003-02-15_final
2003-02-16 09:24:19	ga_ls7e_ard_3-0-0_093076_2003-02-15_final
2003-02-16 09:24:43	ga_ls7e_ard_3-0-0_093077_2003-02-15_final
2003-02-16 09:25:07	ga_ls7e_ard_3-0-0_093078_2003-02-15_final
2003-03-04 09:23:33	ga_ls7e_ard_3-0-0_093074_2003-03-03_final
2003-03-04 09:23:57	ga_ls7e_ard_3-0-0_093075_2003-03-03_final
2003-03-04 09:24:21	ga_ls7e_ard_3-0-0_093076_2003-03-03_final
2003-03-04 09:24:45	ga_ls7e_ard_3-0-0_093077_2003-03-03_final
2003-03-04 09:25:09	ga_ls7e_ard_3-0-0_093078_2003-03-03_final
2003-03-13 09:19:00	ga_ls7e_ard_3-0-0_092078_2003-03-12_final
2003-03-13 09:19:24	ga_ls7e_ard_3-0-0_092079_2003-03-12_final
2003-03-13 09:19:48	ga_ls7e_ard_3-0-0_092080_2003-03-12_final
2003-03-13 09:20:12	ga_ls7e_ard_3-0-0_092081_2003-03-12_final
2003-03-13 09:20:36	ga_ls7e_ard_3-0-0_092082_2003-03-12_final
2003-03-15 09:09:25	ga_ls7e_ard_3-1-0_090085_2003-03-14_final
2003-03-15 09:09:49	ga_ls7e_ard_3-0-0_090086_2003-03-14_final
2003-03-15 09:10:37	ga_ls7e_ard_3-0-0_090088_2003-03-14_final
2003-03-15 09:11:01	ga_ls7e_ard_3-0-0_090089_2003-03-14_final
2003-03-18 09:33:07	ga_ls7e_ard_3-0-0_095067_2003-03-18_final
2018-04-16 09:26:00	ga_ls7e_ard_3-0-0_091081_2018-04-15_final
2018-04-16 09:26:24	ga_ls7e_ard_3-0-0_091082_2018-04-15_final
2018-04-16 09:26:48	ga_ls7e_ard_3-0-0_091083_2018-04-15_final
2018-04-16 09:27:36	ga_ls7e_ard_3-0-0_091085_2018-04-15_final
2018-04-16 09:28:00	ga_ls7e_ard_3-1-0_091086_2018-04-15_final
2018-04-21 09:41:16	ga_ls7e_ard_3-0-0_094073_2018-04-21_final
2018-04-21 09:41:40	ga_ls7e_ard_3-0-0_094074_2018-04-21_final
2018-12-28 09:20:38	ga_ls7e_ard_3-0-0_091081_2018-12-27_final
2018-12-28 09:21:01	ga_ls7e_ard_3-0-0_091082_2018-12-27_final
2018-12-28 09:21:25	ga_ls7e_ard_3-0-0_091083_2018-12-27_final
2018-12-28 09:21:49	ga_ls7e_ard_3-0-0_091084_2018-12-27_final
2018-12-28 09:22:13	ga_ls7e_ard_3-0-0_091085_2018-12-27_final
2018-12-28 09:22:37	ga_ls7e_ard_3-1-0_091086_2018-12-27_final
2018-12-28 09:23:01	ga_ls7e_ard_3-0-0_091087_2018-12-27_final
2019-03-07 09:33:50	ga_ls7e_ard_3-1-0_094073_2019-03-07_final
2019-03-07 09:34:14	ga_ls7e_ard_3-1-0_094074_2019-03-07_final
2019-03-09 09:23:00	ga_ls7e_ard_3-1-0_092077_2019-03-08_final
2019-03-09 09:23:24	ga_ls7e_ard_3-1-0_092078_2019-03-08_final
2019-03-09 09:23:48	ga_ls7e_ard_3-1-0_092079_2019-03-08_final
2019-03-09 09:24:12	ga_ls7e_ard_3-1-0_092080_2019-03-08_final
2019-03-09 09:24:36	ga_ls7e_ard_3-1-0_092081_2019-03-08_final
2019-03-09 09:25:00	ga_ls7e_ard_3-1-0_092082_2019-03-08_final
2019-03-14 09:37:24	ga_ls7e_ard_3-1-0_095067_2019-03-14_final
2019-03-16 09:27:46	ga_ls7e_ard_3-1-0_093074_2019-03-15_final
2019-03-16 09:28:10	ga_ls7e_ard_3-1-0_093075_2019-03-15_final
2021-11-18 08:16:54	ga_ls7e_ard_3-2-1_091081_2021-11-17_final
2021-11-18 08:17:18	ga_ls7e_ard_3-2-1_091082_2021-11-17_final
2021-11-18 08:17:42	ga_ls7e_ard_3-2-1_091083_2021-11-17_final
2021-11-18 08:18:06	ga_ls7e_ard_3-2-1_091084_2021-11-17_final
2021-11-18 08:18:30	ga_ls7e_ard_3-2-1_091085_2021-11-17_final
2021-11-18 08:18:54	ga_ls7e_ard_3-2-1_091086_2021-11-17_final
2021-11-18 08:19:18	ga_ls7e_ard_3-2-1_091087_2021-11-17_final
2021-12-02 08:25:08	ga_ls7e_ard_3-2-1_093074_2021-12-01_final
2021-12-02 08:25:32	ga_ls7e_ard_3-2-1_093075_2021-12-01_final
2021-12-02 08:25:56	ga_ls7e_ard_3-2-1_093076_2021-12-01_final
2021-12-02 08:26:20	ga_ls7e_ard_3-2-1_093077_2021-12-01_final
2021-12-02 08:26:44	ga_ls7e_ard_3-2-1_093078_2021-12-01_final
2021-12-02 08:27:08	ga_ls7e_ard_3-2-1_093079_2021-12-01_final
2021-12-04 08:15:23	ga_ls7e_ard_3-2-1_091081_2021-12-03_final
2021-12-04 08:15:47	ga_ls7e_ard_3-2-1_091082_2021-12-03_final
2021-12-04 08:16:11	ga_ls7e_ard_3-2-1_091083_2021-12-03_final
2021-12-04 08:16:35	ga_ls7e_ard_3-2-1_091084_2021-12-03_final
2021-12-04 08:16:59	ga_ls7e_ard_3-2-1_091085_2021-12-03_final
2021-12-04 08:17:23	ga_ls7e_ard_3-2-1_091086_2021-12-03_final
2021-12-04 08:17:47	ga_ls7e_ard_3-2-1_091087_2021-12-03_final
2021-12-18 08:23:37	ga_ls7e_ard_3-2-1_093074_2021-12-17_final
2021-12-18 08:24:01	ga_ls7e_ard_3-2-1_093075_2021-12-17_final
2021-12-18 08:24:25	ga_ls7e_ard_3-2-1_093076_2021-12-17_final
2021-12-18 08:24:48	ga_ls7e_ard_3-2-1_093077_2021-12-17_final
2021-12-18 08:25:12	ga_ls7e_ard_3-2-1_093078_2021-12-17_final
2021-12-18 08:25:36	ga_ls7e_ard_3-2-1_093079_2021-12-17_final
2021-12-20 08:13:51	ga_ls7e_ard_3-2-1_091081_2021-12-19_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2021-12-20 08:14:39	ga_ls7e_ard_3-2-1_091083_2021-12-19_final
2021-12-20 08:15:03	ga_ls7e_ard_3-2-1_091084_2021-12-19_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2021-12-20 08:15:51	ga_ls7e_ard_3-2-1_091086_2021-12-19_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