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
2000-04-12 11:10:02	ga_ls7e_ard_3-0-0_109084_2000-04-12_final
2000-04-17 11:24:33	ga_ls7e_ard_3-0-0_112074_2000-04-17_final
2000-04-17 11:24:57	ga_ls7e_ard_3-0-0_112075_2000-04-17_final
2000-04-17 11:25:21	ga_ls7e_ard_3-0-0_112076_2000-04-17_final
2000-04-17 11:25:45	ga_ls7e_ard_3-0-0_112077_2000-04-17_final
2000-05-10 11:27:46	ga_ls7e_ard_3-0-0_113067_2000-05-10_final
2000-05-12 11:19:00	ga_ls7e_ard_3-0-0_111076_2000-05-12_final
2000-05-12 11:19:24	ga_ls7e_ard_3-0-0_111077_2000-05-12_final
2000-05-12 11:19:48	ga_ls7e_ard_3-0-0_111078_2000-05-12_final
2000-05-12 11:20:12	ga_ls7e_ard_3-0-0_111079_2000-05-12_final
2000-05-12 11:20:36	ga_ls7e_ard_3-0-0_111080_2000-05-12_final
2000-05-12 11:21:00	ga_ls7e_ard_3-0-0_111081_2000-05-12_final
2000-05-12 11:21:24	ga_ls7e_ard_3-1-0_111082_2000-05-12_final
2020-08-05 11:04:14	ga_ls7e_ard_3-1-0_113067_2020-08-05_final
2020-08-07 10:55:20	ga_ls7e_ard_3-1-0_111076_2020-08-07_final
2020-08-07 10:55:44	ga_ls7e_ard_3-1-0_111077_2020-08-07_final
2020-08-07 10:56:08	ga_ls7e_ard_3-1-0_111078_2020-08-07_final
2020-08-07 10:56:32	ga_ls7e_ard_3-1-0_111079_2020-08-07_final
2020-08-07 10:56:56	ga_ls7e_ard_3-1-0_111080_2020-08-07_final
2020-08-07 10:57:20	ga_ls7e_ard_3-1-0_111081_2020-08-07_final
2020-08-07 10:57:44	ga_ls7e_ard_3-1-0_111082_2020-08-07_final
2020-08-12 11:09:58	ga_ls7e_ard_3-1-0_114067_2020-08-12_final
2020-08-14 11:00:16	ga_ls7e_ard_3-1-0_112074_2020-08-14_final
2020-08-14 11:00:40	ga_ls7e_ard_3-1-0_112075_2020-08-14_final
2020-08-14 11:01:04	ga_ls7e_ard_3-1-0_112076_2020-08-14_final
2020-08-14 11:01:28	ga_ls7e_ard_3-1-0_112077_2020-08-14_final
2020-08-14 11:01:52	ga_ls7e_ard_3-1-0_112078_2020-08-14_final
2020-10-08 11:00:05	ga_ls7e_ard_3-1-0_113067_2020-10-08_final
2020-10-10 10:51:11	ga_ls7e_ard_3-1-0_111076_2020-10-10_final
2020-10-10 10:51:35	ga_ls7e_ard_3-1-0_111077_2020-10-10_final
2020-10-10 10:51:59	ga_ls7e_ard_3-1-0_111078_2020-10-10_final
2020-10-10 10:52:23	ga_ls7e_ard_3-1-0_111079_2020-10-10_final
2020-10-10 10:52:47	ga_ls7e_ard_3-1-0_111080_2020-10-10_final
2020-10-10 10:53:11	ga_ls7e_ard_3-1-0_111081_2020-10-10_final
2020-10-10 10:53:35	ga_ls7e_ard_3-1-0_111082_2020-10-10_final
2020-10-12 10:41:53	ga_ls7e_ard_3-1-0_109084_2020-10-12_final
2020-10-19 10:46:01	ga_ls7e_ard_3-1-0_110080_2020-10-19_final
2020-10-19 10:46:25	ga_ls7e_ard_3-1-0_110081_2020-10-19_final
2020-10-19 10:46:49	ga_ls7e_ard_3-1-0_110082_2020-10-19_final
2020-10-19 10:47:13	ga_ls7e_ard_3-1-0_110083_2020-10-19_final
2020-10-19 10:47:37	ga_ls7e_ard_3-1-0_110084_2020-10-19_final
2020-10-24 10:59:03	ga_ls7e_ard_3-1-0_113067_2020-10-24_final
2020-10-26 10:50:09	ga_ls7e_ard_3-1-0_111076_2020-10-26_final
2020-10-26 10:50:33	ga_ls7e_ard_3-1-0_111077_2020-10-26_final
2020-10-26 10:50:56	ga_ls7e_ard_3-1-0_111078_2020-10-26_final
2020-10-26 10:51:20	ga_ls7e_ard_3-1-0_111079_2020-10-26_final
2020-10-26 10:51:44	ga_ls7e_ard_3-1-0_111080_2020-10-26_final
2020-10-26 10:52:08	ga_ls7e_ard_3-1-0_111081_2020-10-26_final
2020-10-26 10:52:32	ga_ls7e_ard_3-1-0_111082_2020-10-26_final
2020-11-09 10:57:58	ga_ls7e_ard_3-1-0_113067_2020-11-09_final
2020-11-11 10:49:04	ga_ls7e_ard_3-1-0_111076_2020-11-11_final
2020-11-11 10:49:28	ga_ls7e_ard_3-1-0_111077_2020-11-11_final
2020-11-11 10:49:51	ga_ls7e_ard_3-1-0_111078_2020-11-11_final
2020-11-11 10:50:15	ga_ls7e_ard_3-1-0_111079_2020-11-11_final
2020-11-11 10:50:39	ga_ls7e_ard_3-1-0_111080_2020-11-11_final
2020-11-11 10:51:03	ga_ls7e_ard_3-1-0_111081_2020-11-11_final
2020-11-11 10:51:27	ga_ls7e_ard_3-1-0_111082_2020-11-11_final
2020-11-25 10:56:51	ga_ls7e_ard_3-1-0_113067_2020-11-25_final
2020-11-27 10:47:56	ga_ls7e_ard_3-1-0_111076_2020-11-27_final
2020-11-27 10:48:20	ga_ls7e_ard_3-1-0_111077_2020-11-27_final
2020-11-27 10:48:44	ga_ls7e_ard_3-1-0_111078_2020-11-27_final
2020-11-27 10:49:08	ga_ls7e_ard_3-1-0_111079_2020-11-27_final
2020-11-27 10:49:32	ga_ls7e_ard_3-1-0_111080_2020-11-27_final
2020-11-27 10:49:56	ga_ls7e_ard_3-1-0_111081_2020-11-27_final
2020-11-27 10:50:20	ga_ls7e_ard_3-1-0_111082_2020-11-27_final
2020-11-29 10:38:37	ga_ls7e_ard_3-1-0_109084_2020-11-29_final
2021-01-12 10:53:22	ga_ls7e_ard_3-1-0_113067_2021-01-12_final
2021-01-14 10:44:28	ga_ls7e_ard_3-1-0_111076_2021-01-14_final
2021-01-14 10:44:51	ga_ls7e_ard_3-1-0_111077_2021-01-14_final
2021-01-14 10:45:15	ga_ls7e_ard_3-1-0_111078_2021-01-14_final
2021-01-14 10:45:39	ga_ls7e_ard_3-1-0_111079_2021-01-14_final
2021-01-14 10:46:03	ga_ls7e_ard_3-1-0_111080_2021-01-14_final
2021-01-14 10:46:27	ga_ls7e_ard_3-1-0_111081_2021-01-14_final
2021-01-14 10:46:51	ga_ls7e_ard_3-1-0_111082_2021-01-14_final
2021-01-16 10:35:09	ga_ls7e_ard_3-1-0_109084_2021-01-16_final
2021-01-21 10:49:20	ga_ls7e_ard_3-2-0_112074_2021-01-21_final
2021-01-21 10:49:44	ga_ls7e_ard_3-2-0_112075_2021-01-21_final
2021-01-21 10:50:08	ga_ls7e_ard_3-2-0_112076_2021-01-21_final
2021-01-21 10:50:32	ga_ls7e_ard_3-2-0_112077_2021-01-21_final
2021-01-21 10:50:56	ga_ls7e_ard_3-2-0_112078_2021-01-21_final
2021-02-22 10:47:22	ga_ls7e_ard_3-2-0_112075_2021-02-22_final
2021-02-22 10:47:46	ga_ls7e_ard_3-2-0_112076_2021-02-22_final
2021-02-22 10:48:10	ga_ls7e_ard_3-2-0_112077_2021-02-22_final
2021-02-22 10:48:34	ga_ls7e_ard_3-2-0_112078_2021-02-22_final
2021-04-04 10:38:19	ga_ls7e_ard_3-2-0_111076_2021-04-04_final
2021-04-04 10:38:43	ga_ls7e_ard_3-2-0_111077_2021-04-04_final
2021-04-04 10:39:07	ga_ls7e_ard_3-2-0_111078_2021-04-04_final
2021-04-04 10:39:31	ga_ls7e_ard_3-2-0_111079_2021-04-04_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-04 10:40:19	ga_ls7e_ard_3-2-0_111081_2021-04-04_final
2021-04-04 10:40:43	ga_ls7e_ard_3-2-0_111082_2021-04-04_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-04-11 10:43:31	ga_ls7e_ard_3-2-0_112075_2021-04-11_final
2021-04-11 10:43:55	ga_ls7e_ard_3-2-0_112076_2021-04-11_final
2021-04-11 10:44:19	ga_ls7e_ard_3-2-0_112077_2021-04-11_final
2021-04-11 10:44:43	ga_ls7e_ard_3-2-0_112078_2021-04-11_final
2021-04-13 10:33:24	ga_ls7e_ard_3-2-0_110081_2021-04-13_final
2021-04-13 10:33:47	ga_ls7e_ard_3-2-0_110082_2021-04-13_final
2021-04-13 10:34:11	ga_ls7e_ard_3-2-0_110083_2021-04-13_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