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
2003-04-15 11:41:33	ga_ls7e_ard_3-0-0_115079_2003-04-15_final
2003-08-05 11:41:11	ga_ls7e_ard_3-0-0_115079_2003-08-05_final
2006-02-18 11:42:52	ga_ls7e_ard_3-0-0_115079_2006-02-18_final
2009-07-04 11:43:10	ga_ls7e_ard_3-0-0_115079_2009-07-04_final
2010-05-20 11:44:54	ga_ls7e_ard_3-0-0_115079_2010-05-20_final
2013-05-12 11:48:40	ga_ls7e_ard_3-0-0_115079_2013-05-12_final
2019-01-21 11:46:36	ga_ls7e_ard_3-0-0_115077_2019-01-21_final
2020-11-23 11:14:08	ga_ls7e_ard_3-1-0_115079_2020-11-23_final
2020-11-24 08:39:58	ga_ls7e_ard_3-1-0_090080_2020-11-23_final
2020-11-29 08:58:33	ga_ls7e_ard_3-1-0_093081_2020-11-28_final
2020-12-26 08:37:36	ga_ls7e_ard_3-1-0_090080_2020-12-25_final
2020-12-29 10:47:58	ga_ls7e_ard_3-1-0_111082_2020-12-29_final
2021-01-04 10:09:17	ga_ls7e_ard_3-1-0_105079_2021-01-04_final
2021-01-08 09:43:05	ga_ls7e_ard_3-1-0_101076_2021-01-08_final
2021-01-14 09:06:23	ga_ls7e_ard_3-1-0_095078_2021-01-13_final
2021-01-14 10:44:51	ga_ls7e_ard_3-1-0_111077_2021-01-14_final
2021-01-16 08:54:16	ga_ls7e_ard_3-1-0_093079_2021-01-15_final
2021-01-25 10:25:32	ga_ls7e_ard_3-2-0_108077_2021-01-25_final
2021-02-01 08:53:07	ga_ls7e_ard_3-2-0_093079_2021-01-31_final
2021-02-02 09:34:42	ga_ls7e_ard_3-2-0_100075_2021-02-02_final
2021-02-08 08:57:35	ga_ls7e_ard_3-2-0_094076_2021-02-07_final
2021-02-13 10:57:49	ga_ls7e_ard_3-2-0_113084_2021-02-13_final
2021-02-15 10:42:31	ga_ls7e_ard_3-2-0_111077_2021-02-15_final
2021-02-18 09:35:54	ga_ls7e_ard_3-2-0_100081_2021-02-18_final
2021-02-22 10:48:10	ga_ls7e_ard_3-2-0_112077_2021-02-22_final
2021-02-27 09:26:39	ga_ls7e_ard_3-2-0_099075_2021-02-26_final
2021-02-28 08:32:57	ga_ls7e_ard_3-2-0_090080_2021-02-27_final
2021-03-02 09:56:07	ga_ls7e_ard_3-2-0_104072_2021-03-02_final
2021-03-07 08:39:46	ga_ls7e_ard_3-2-0_091083_2021-03-06_final
2021-03-07 10:14:16	ga_ls7e_ard_3-2-0_107072_2021-03-07_final
2021-03-14 08:43:00	ga_ls7e_ard_3-2-0_092077_2021-03-13_final
2021-03-17 09:15:40	ga_ls7e_ard_3-2-0_097082_2021-03-16_final
2021-03-26 09:08:46	ga_ls7e_ard_3-2-0_096082_2021-03-25_final
2021-03-27 09:47:33	ga_ls7e_ard_3-2-0_103071_2021-03-27_final
2021-03-27 09:51:08	ga_ls7e_ard_3-2-0_103080_2021-03-27_final
2021-03-28 08:54:14	ga_ls7e_ard_3-2-0_094077_2021-03-27_final
2021-03-28 10:34:43	ga_ls7e_ard_3-2-0_110081_2021-03-28_final
2021-03-30 08:44:07	ga_ls7e_ard_3-2-0_092083_2021-03-29_final
2021-03-31 09:24:06	ga_ls7e_ard_3-2-0_099075_2021-03-30_final
2021-04-02 09:13:34	ga_ls7e_ard_3-2-0_097080_2021-04-01_final
2021-04-04 09:01:26	ga_ls7e_ard_3-2-0_095081_2021-04-03_final
2021-04-06 10:26:36	ga_ls7e_ard_3-2-0_109078_2021-04-06_final
2021-04-08 08:35:12	ga_ls7e_ard_3-2-0_091078_2021-04-07_final
2021-04-08 10:14:28	ga_ls7e_ard_3-2-0_107079_2021-04-08_final
2021-04-15 10:19:40	ga_ls7e_ard_3-2-0_108078_2021-04-15_final
2021-04-16 09:25:10	ga_ls7e_ard_3-2-0_099081_2021-04-15_final
2021-04-17 08:31:27	ga_ls7e_ard_3-2-0_090086_2021-04-16_final
2021-04-17 10:08:20	ga_ls7e_ard_3-2-0_106081_2021-04-17_final
2021-04-20 09:00:54	ga_ls7e_ard_3-2-0_095083_2021-04-19_final
2021-04-22 08:46:46	ga_ls7e_ard_3-2-0_093079_2021-04-21_final
2021-04-22 08:47:10	ga_ls7e_ard_3-2-0_093080_2021-04-21_final
2021-04-23 09:27:57	ga_ls7e_ard_3-2-0_100074_2021-04-22_final
2021-04-23 09:30:45	ga_ls7e_ard_3-2-0_100081_2021-04-23_final
2021-04-26 10:00:59	ga_ls7e_ard_3-2-0_105080_2021-04-26_final
2021-04-27 09:06:29	ga_ls7e_ard_3-2-0_096083_2021-04-26_final
2021-04-27 10:42:10	ga_ls7e_ard_3-2-0_112075_2021-04-27_final
2021-04-29 10:30:26	ga_ls7e_ard_3-2-0_110077_2021-04-29_final
2021-05-02 09:21:25	ga_ls7e_ard_3-2-0_099075_2021-05-01_final
2021-05-08 10:25:07	ga_ls7e_ard_3-2-0_109081_2021-05-08_final
2021-05-13 09:01:34	ga_ls7e_ard_3-2-0_096074_2021-05-12_final
2021-05-19 10:06:26	ga_ls7e_ard_3-2-0_106083_2021-05-19_final
2021-05-20 09:08:21	ga_ls7e_ard_3-2-0_097077_2021-05-19_final
2021-05-21 09:53:07	ga_ls7e_ard_3-2-0_104081_2021-05-21_final
2021-05-24 08:42:29	ga_ls7e_ard_3-2-0_093075_2021-05-23_final
2021-05-25 09:27:39	ga_ls7e_ard_3-2-0_100080_2021-05-24_final
2021-05-26 08:31:09	ga_ls7e_ard_3-2-0_091078_2021-05-25_final
2021-05-27 09:12:43	ga_ls7e_ard_3-2-0_098074_2021-05-26_final
2021-05-27 09:13:31	ga_ls7e_ard_3-2-0_098076_2021-05-26_final
2021-06-04 08:24:12	ga_ls7e_ard_3-2-0_090078_2021-06-03_final
2021-06-09 10:22:01	ga_ls7e_ard_3-2-0_109080_2021-06-09_final
2021-06-11 10:06:18	ga_ls7e_ard_3-2-0_107072_2021-06-11_final
2021-06-25 08:41:50	ga_ls7e_ard_3-2-0_093080_2021-06-24_final
2021-07-01 09:39:08	ga_ls7e_ard_3-2-0_103070_2021-07-01_final
2021-07-01 09:41:56	ga_ls7e_ard_3-2-0_103077_2021-07-01_final
2021-07-07 10:44:25	ga_ls7e_ard_3-2-0_113080_2021-07-07_final
2021-07-09 08:51:01	ga_ls7e_ard_3-2-0_095075_2021-07-08_final
2021-07-11 10:18:33	ga_ls7e_ard_3-2-0_109078_2021-07-11_final
2021-07-14 09:11:55	ga_ls7e_ard_3-2-0_098082_2021-07-13_final
2021-07-17 09:37:46	ga_ls7e_ard_3-2-0_103070_2021-07-17_final
2021-07-17 09:40:10	ga_ls7e_ard_3-2-0_103076_2021-07-17_final
2021-07-17 09:40:58	ga_ls7e_ard_3-2-0_103078_2021-07-17_final
2021-07-18 10:24:56	ga_ls7e_ard_3-2-0_110080_2021-07-18_final
2021-07-23 10:41:27	ga_ls7e_ard_3-2-0_113076_2021-07-23_final
2021-07-25 08:49:14	ga_ls7e_ard_3-2-0_095074_2021-07-24_final
2021-07-25 08:49:38	ga_ls7e_ard_3-2-0_095075_2021-07-24_final
2021-07-25 10:30:07	ga_ls7e_ard_3-2-0_111079_2021-07-25_final
2021-07-29 08:25:22	ga_ls7e_ard_3-2-0_091077_2021-07-28_final
2021-07-29 10:04:15	ga_ls7e_ard_3-2-0_107077_2021-07-29_final
2021-07-30 09:08:08	ga_ls7e_ard_3-2-0_098076_2021-07-29_final
2021-07-31 09:52:06	ga_ls7e_ard_3-2-0_105078_2021-07-31_final
2021-08-01 10:37:40	ga_ls7e_ard_3-2-0_112084_2021-08-01_final
2021-08-02 09:38:46	ga_ls7e_ard_3-2-0_103076_2021-08-02_final
2021-08-06 09:13:18	ga_ls7e_ard_3-2-0_099075_2021-08-05_final
2021-08-07 09:58:52	ga_ls7e_ard_3-2-0_106081_2021-08-07_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-09 09:44:20	ga_ls7e_ard_3-2-0_104076_2021-08-09_final
2021-08-10 08:50:37	ga_ls7e_ard_3-2-0_095081_2021-08-09_final
2021-08-12 10:15:46	ga_ls7e_ard_3-2-0_109078_2021-08-12_final
2021-08-12 10:16:34	ga_ls7e_ard_3-2-0_109080_2021-08-12_final
2021-08-17 10:32:39	ga_ls7e_ard_3-2-0_112075_2021-08-17_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