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
2003-12-20 11:33:27	ga_ls7e_ard_3-1-0_114074_2003-12-20_final
2003-12-20 11:33:51	ga_ls7e_ard_3-1-0_114075_2003-12-20_final
2003-12-20 11:34:15	ga_ls7e_ard_3-1-0_114076_2003-12-20_final
2003-12-20 11:34:39	ga_ls7e_ard_3-0-0_114077_2003-12-20_final
2003-12-20 11:35:03	ga_ls7e_ard_3-0-0_114078_2003-12-20_final
2003-12-29 11:28:08	ga_ls7e_ard_3-0-0_113076_2003-12-29_final
2003-12-29 11:28:32	ga_ls7e_ard_3-0-0_113077_2003-12-29_final
2003-12-29 11:28:56	ga_ls7e_ard_3-0-0_113078_2003-12-29_final
2003-12-29 11:29:20	ga_ls7e_ard_3-0-0_113079_2003-12-29_final
2003-12-29 11:29:44	ga_ls7e_ard_3-1-0_113080_2003-12-29_final
2003-12-29 11:30:08	ga_ls7e_ard_3-0-0_113081_2003-12-29_final
2003-12-29 11:30:32	ga_ls7e_ard_3-0-0_113082_2003-12-29_final
2003-12-31 11:18:59	ga_ls7e_ard_3-0-0_111084_2003-12-31_final
2004-03-18 11:28:31	ga_ls7e_ard_3-0-0_113076_2004-03-18_final
2004-03-18 11:28:55	ga_ls7e_ard_3-0-0_113077_2004-03-18_final
2004-03-18 11:29:18	ga_ls7e_ard_3-0-0_113078_2004-03-18_final
2004-03-18 11:29:42	ga_ls7e_ard_3-0-0_113079_2004-03-18_final
2004-03-18 11:30:06	ga_ls7e_ard_3-0-0_113080_2004-03-18_final
2004-03-18 11:30:30	ga_ls7e_ard_3-0-0_113081_2004-03-18_final
2004-03-18 11:30:54	ga_ls7e_ard_3-0-0_113082_2004-03-18_final
2004-04-26 11:33:46	ga_ls7e_ard_3-0-0_114074_2004-04-26_final
2004-04-26 11:34:10	ga_ls7e_ard_3-0-0_114075_2004-04-26_final
2004-04-26 11:34:34	ga_ls7e_ard_3-0-0_114076_2004-04-26_final
2004-04-26 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-04-26_final
2004-04-26 11:35:22	ga_ls7e_ard_3-0-0_114078_2004-04-26_final
2004-07-08 11:28:14	ga_ls7e_ard_3-0-0_113076_2004-07-08_final
2004-07-08 11:28:38	ga_ls7e_ard_3-0-0_113077_2004-07-08_final
2004-07-08 11:29:02	ga_ls7e_ard_3-0-0_113078_2004-07-08_final
2004-07-08 11:29:26	ga_ls7e_ard_3-0-0_113079_2004-07-08_final
2004-07-08 11:29:50	ga_ls7e_ard_3-0-0_113080_2004-07-08_final
2017-05-16 11:47:07	ga_ls7e_ard_3-0-0_114074_2017-05-16_final
2017-05-16 11:47:31	ga_ls7e_ard_3-0-0_114075_2017-05-16_final
2017-05-16 11:47:55	ga_ls7e_ard_3-0-0_114076_2017-05-16_final
2017-05-16 11:48:19	ga_ls7e_ard_3-0-0_114077_2017-05-16_final
2017-05-16 11:48:43	ga_ls7e_ard_3-0-0_114078_2017-05-16_final
2017-06-28 11:32:43	ga_ls7e_ard_3-0-0_111084_2017-06-28_final
2017-07-03 11:47:17	ga_ls7e_ard_3-0-0_114074_2017-07-03_final
2017-07-03 11:47:41	ga_ls7e_ard_3-0-0_114075_2017-07-03_final
2017-07-03 11:48:05	ga_ls7e_ard_3-0-0_114076_2017-07-03_final
2017-07-03 11:48:29	ga_ls7e_ard_3-0-0_114077_2017-07-03_final
2017-07-03 11:48:53	ga_ls7e_ard_3-0-0_114078_2017-07-03_final
2017-07-14 11:32:44	ga_ls7e_ard_3-0-0_111084_2017-07-14_final
2017-07-19 11:47:41	ga_ls7e_ard_3-0-0_114075_2017-07-19_final
2017-07-19 11:48:05	ga_ls7e_ard_3-0-0_114076_2017-07-19_final
2017-07-19 11:48:29	ga_ls7e_ard_3-0-0_114077_2017-07-19_final
2017-07-19 11:48:53	ga_ls7e_ard_3-0-0_114078_2017-07-19_final
2017-12-10 11:47:03	ga_ls7e_ard_3-0-0_114074_2017-12-10_final
2017-12-10 11:47:26	ga_ls7e_ard_3-0-0_114075_2017-12-10_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-12 11:37:03	ga_ls7e_ard_3-0-0_112080_2017-12-12_final
2017-12-12 11:37:27	ga_ls7e_ard_3-0-0_112081_2017-12-12_final
2017-12-12 11:37:51	ga_ls7e_ard_3-0-0_112082_2017-12-12_final
2017-12-12 11:38:15	ga_ls7e_ard_3-0-0_112083_2017-12-12_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-05-28 11:39:16	ga_ls7e_ard_3-0-0_113076_2018-05-28_final
2018-05-28 11:39:40	ga_ls7e_ard_3-0-0_113077_2018-05-28_final
2018-05-28 11:40:04	ga_ls7e_ard_3-0-0_113078_2018-05-28_final
2018-05-28 11:40:28	ga_ls7e_ard_3-0-0_113079_2018-05-28_final
2018-05-28 11:40:52	ga_ls7e_ard_3-0-0_113080_2018-05-28_final
2018-05-28 11:41:16	ga_ls7e_ard_3-0-0_113081_2018-05-28_final
2018-05-28 11:41:40	ga_ls7e_ard_3-0-0_113082_2018-05-28_final
2018-06-20 11:44:14	ga_ls7e_ard_3-0-0_114074_2018-06-20_final
2018-06-20 11:44:38	ga_ls7e_ard_3-0-0_114075_2018-06-20_final
2018-06-20 11:45:02	ga_ls7e_ard_3-0-0_114076_2018-06-20_final
2018-06-20 11:45:26	ga_ls7e_ard_3-0-0_114077_2018-06-20_final
2018-06-20 11:45:50	ga_ls7e_ard_3-0-0_114078_2018-06-20_final
2020-03-30 11:15:53	ga_ls7e_ard_3-1-0_113077_2020-03-30_final
2020-03-30 11:16:17	ga_ls7e_ard_3-1-0_113078_2020-03-30_final
2020-03-30 11:16:41	ga_ls7e_ard_3-1-0_113079_2020-03-30_final
2020-03-30 11:17:05	ga_ls7e_ard_3-1-0_113080_2020-03-30_final
2020-03-30 11:17:28	ga_ls7e_ard_3-1-0_113081_2020-03-30_final
2020-03-30 11:17:52	ga_ls7e_ard_3-1-0_113082_2020-03-30_final
2020-04-15 11:14:58	ga_ls7e_ard_3-1-0_113077_2020-04-15_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-04-15 11:15:45	ga_ls7e_ard_3-1-0_113079_2020-04-15_final
2020-04-15 11:16:09	ga_ls7e_ard_3-1-0_113080_2020-04-15_final
2020-04-15 11:16:33	ga_ls7e_ard_3-1-0_113081_2020-04-15_final
2020-04-15 11:16:57	ga_ls7e_ard_3-1-0_113082_2020-04-15_final
2021-03-01 10:54:12	ga_ls7e_ard_3-2-0_113078_2021-03-01_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-08 10:58:15	ga_ls7e_ard_3-2-0_114074_2021-03-08_final
2021-03-08 10:58:38	ga_ls7e_ard_3-2-0_114075_2021-03-08_final
2021-03-08 10:59:02	ga_ls7e_ard_3-2-0_114076_2021-03-08_final
2021-03-08 10:59:26	ga_ls7e_ard_3-2-0_114077_2021-03-08_final
2021-03-08 10:59:50	ga_ls7e_ard_3-2-0_114078_2021-03-08_final
2021-03-17 10:52:33	ga_ls7e_ard_3-2-0_113077_2021-03-17_final
2021-03-17 10:52:57	ga_ls7e_ard_3-2-0_113078_2021-03-17_final
2021-03-17 10:53:21	ga_ls7e_ard_3-2-0_113079_2021-03-17_final
2021-03-17 10:53:45	ga_ls7e_ard_3-2-0_113080_2021-03-17_final
2021-03-17 10:54:09	ga_ls7e_ard_3-2-0_113081_2021-03-17_final
2021-03-17 10:54:33	ga_ls7e_ard_3-2-0_113082_2021-03-17_final
2021-04-09 10:55:39	ga_ls7e_ard_3-2-0_114074_2021-04-09_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-09 10:56:27	ga_ls7e_ard_3-2-0_114076_2021-04-09_final
2021-04-09 10:56:51	ga_ls7e_ard_3-2-0_114077_2021-04-09_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-04-27 10:44:58	ga_ls7e_ard_3-2-0_112082_2021-04-27_final
2021-04-27 10:45:22	ga_ls7e_ard_3-2-0_112083_2021-04-27_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