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
2008-02-01 11:32:10	ga_ls7e_ard_3-0-0_114067_2008-02-01_final
2008-03-29 11:29:00	ga_ls7e_ard_3-0-0_113075_2008-03-29_final
2008-03-31 11:17:50	ga_ls7e_ard_3-0-0_111078_2008-03-31_final
2008-03-31 11:18:14	ga_ls7e_ard_3-0-0_111079_2008-03-31_final
2008-03-31 11:18:38	ga_ls7e_ard_3-0-0_111080_2008-03-31_final
2008-03-31 11:19:02	ga_ls7e_ard_3-0-0_111081_2008-03-31_final
2008-03-31 11:20:13	ga_ls7e_ard_3-0-0_111084_2008-03-31_final
2008-05-25 11:22:11	ga_ls7e_ard_3-0-0_112074_2008-05-25_final
2008-05-25 11:22:35	ga_ls7e_ard_3-0-0_112075_2008-05-25_final
2008-05-25 11:22:59	ga_ls7e_ard_3-0-0_112076_2008-05-25_final
2008-05-25 11:23:23	ga_ls7e_ard_3-0-0_112077_2008-05-25_final
2008-05-25 11:23:47	ga_ls7e_ard_3-0-0_112078_2008-05-25_final
2008-05-25 11:24:11	ga_ls7e_ard_3-0-0_112079_2008-05-25_final
2008-05-25 11:24:35	ga_ls7e_ard_3-0-0_112080_2008-05-25_final
2008-05-27 11:13:00	ga_ls7e_ard_3-0-0_110082_2008-05-27_final
2008-05-27 11:13:24	ga_ls7e_ard_3-0-0_110083_2008-05-27_final
2008-05-27 11:13:48	ga_ls7e_ard_3-0-0_110084_2008-05-27_final
2008-06-10 11:22:51	ga_ls7e_ard_3-0-0_112076_2008-06-10_final
2008-06-10 11:23:15	ga_ls7e_ard_3-0-0_112077_2008-06-10_final
2008-06-10 11:23:39	ga_ls7e_ard_3-0-0_112078_2008-06-10_final
2008-06-10 11:24:03	ga_ls7e_ard_3-0-0_112079_2008-06-10_final
2008-06-10 11:24:27	ga_ls7e_ard_3-0-0_112080_2008-06-10_final
2008-08-27 11:30:54	ga_ls7e_ard_3-0-0_114067_2008-08-27_final
2008-08-29 11:21:19	ga_ls7e_ard_3-0-0_112074_2008-08-29_final
2008-08-29 11:21:43	ga_ls7e_ard_3-0-0_112075_2008-08-29_final
2008-08-29 11:22:55	ga_ls7e_ard_3-0-0_112078_2008-08-29_final
2008-08-29 11:23:19	ga_ls7e_ard_3-0-0_112079_2008-08-29_final
2008-08-29 11:23:43	ga_ls7e_ard_3-0-0_112080_2008-08-29_final
2008-09-12 11:30:46	ga_ls7e_ard_3-0-0_114067_2008-09-12_final
2008-09-14 11:21:11	ga_ls7e_ard_3-0-0_112074_2008-09-14_final
2008-09-14 11:21:35	ga_ls7e_ard_3-0-0_112075_2008-09-14_final
2008-09-14 11:21:59	ga_ls7e_ard_3-0-0_112076_2008-09-14_final
2008-09-14 11:22:23	ga_ls7e_ard_3-0-0_112077_2008-09-14_final
2008-09-14 11:22:47	ga_ls7e_ard_3-0-0_112078_2008-09-14_final
2008-09-14 11:23:11	ga_ls7e_ard_3-0-0_112079_2008-09-14_final
2008-09-14 11:23:35	ga_ls7e_ard_3-1-0_112080_2008-09-14_final
2019-10-24 11:12:18	ga_ls7e_ard_3-1-0_111079_2019-10-24_final
2019-10-24 11:12:42	ga_ls7e_ard_3-1-0_111080_2019-10-24_final
2019-10-24 11:13:06	ga_ls7e_ard_3-1-0_111081_2019-10-24_final
2019-10-24 11:13:30	ga_ls7e_ard_3-1-0_111082_2019-10-24_final
2019-10-24 11:13:54	ga_ls7e_ard_3-1-0_111083_2019-10-24_final
2019-10-24 11:14:18	ga_ls7e_ard_3-1-0_111084_2019-10-24_final
2019-10-31 11:16:11	ga_ls7e_ard_3-1-0_112074_2019-10-31_final
2019-10-31 11:16:35	ga_ls7e_ard_3-1-0_112075_2019-10-31_final
2019-10-31 11:16:59	ga_ls7e_ard_3-1-0_112076_2019-10-31_final
2019-10-31 11:17:23	ga_ls7e_ard_3-1-0_112077_2019-10-31_final
2019-11-02 11:07:19	ga_ls7e_ard_3-1-0_110083_2019-11-02_final
2019-11-02 11:07:43	ga_ls7e_ard_3-1-0_110084_2019-11-02_final
2019-12-09 11:20:31	ga_ls7e_ard_3-1-0_113074_2019-12-09_final
2019-12-09 11:20:55	ga_ls7e_ard_3-1-0_113075_2019-12-09_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-01-10 11:19:17	ga_ls7e_ard_3-1-0_113075_2020-01-10_final
2020-01-10 11:19:40	ga_ls7e_ard_3-1-0_113076_2020-01-10_final
2020-01-12 11:08:25	ga_ls7e_ard_3-1-0_111079_2020-01-12_final
2020-01-12 11:08:49	ga_ls7e_ard_3-1-0_111080_2020-01-12_final
2020-01-12 11:09:13	ga_ls7e_ard_3-1-0_111081_2020-01-12_final
2020-01-12 11:09:37	ga_ls7e_ard_3-1-0_111082_2020-01-12_final
2020-01-12 11:10:01	ga_ls7e_ard_3-1-0_111083_2020-01-12_final
2020-01-12 11:10:25	ga_ls7e_ard_3-1-0_111084_2020-01-12_final
2020-02-13 11:06:49	ga_ls7e_ard_3-1-0_111079_2020-02-13_final
2020-02-13 11:07:13	ga_ls7e_ard_3-1-0_111080_2020-02-13_final
2020-02-13 11:07:36	ga_ls7e_ard_3-1-0_111081_2020-02-13_final
2020-02-13 11:08:00	ga_ls7e_ard_3-1-0_111082_2020-02-13_final
2020-02-13 11:08:24	ga_ls7e_ard_3-1-0_111083_2020-02-13_final
2020-02-13 11:08:48	ga_ls7e_ard_3-1-0_111084_2020-02-13_final
2020-02-18 11:20:18	ga_ls7e_ard_3-1-0_114067_2020-02-18_final
2020-02-20 11:10:38	ga_ls7e_ard_3-1-0_112074_2020-02-20_final
2020-02-20 11:11:02	ga_ls7e_ard_3-1-0_112075_2020-02-20_final
2020-02-20 11:11:26	ga_ls7e_ard_3-1-0_112076_2020-02-20_final
2020-02-20 11:11:50	ga_ls7e_ard_3-1-0_112077_2020-02-20_final
2020-02-20 11:12:14	ga_ls7e_ard_3-1-0_112078_2020-02-20_final
2020-02-20 11:12:37	ga_ls7e_ard_3-1-0_112079_2020-02-20_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-05-26 11:05:06	ga_ls7e_ard_3-1-0_112074_2020-05-26_final
2020-05-26 11:05:30	ga_ls7e_ard_3-1-0_112075_2020-05-26_final
2020-05-26 11:05:54	ga_ls7e_ard_3-1-0_112076_2020-05-26_final
2020-05-26 11:06:18	ga_ls7e_ard_3-1-0_112077_2020-05-26_final
2020-05-26 11:06:41	ga_ls7e_ard_3-1-0_112078_2020-05-26_final
2020-05-26 11:07:05	ga_ls7e_ard_3-1-0_112079_2020-05-26_final
2020-05-26 11:07:29	ga_ls7e_ard_3-1-0_112080_2020-05-26_final
2021-06-07 10:34:08	ga_ls7e_ard_3-2-0_111079_2021-06-07_final
2021-06-07 10:34:32	ga_ls7e_ard_3-2-0_111080_2021-06-07_final
2021-06-07 10:34:56	ga_ls7e_ard_3-2-0_111081_2021-06-07_final
2021-06-07 10:35:20	ga_ls7e_ard_3-2-0_111082_2021-06-07_final
2021-06-07 10:35:44	ga_ls7e_ard_3-2-0_111083_2021-06-07_final
2021-06-12 10:47:29	ga_ls7e_ard_3-2-0_114067_2021-06-12_final
2021-06-16 10:28:49	ga_ls7e_ard_3-2-0_110083_2021-06-16_final
2021-06-16 10:29:13	ga_ls7e_ard_3-2-0_110084_2021-06-16_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-08-19 10:23:43	ga_ls7e_ard_3-2-0_110084_2021-08-19_final
2021-09-18 10:29:28	ga_ls7e_ard_3-2-0_112074_2021-09-18_final
2021-09-18 10:29:52	ga_ls7e_ard_3-2-0_112075_2021-09-18_final
2021-09-18 10:30:16	ga_ls7e_ard_3-2-0_112076_2021-09-18_final
2021-09-18 10:30:40	ga_ls7e_ard_3-2-0_112077_2021-09-18_final
2021-09-18 10:31:04	ga_ls7e_ard_3-2-0_112078_2021-09-18_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-09-20 10:20:31	ga_ls7e_ard_3-2-0_110083_2021-09-20_final
2022-01-10 10:09:59	ga_ls7e_ard_3-2-1_110083_2022-01-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years