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
2000-09-13 11:42:39	ga_ls7e_ard_3-1-0_115077_2000-09-13_final
2000-12-18 11:42:25	ga_ls7e_ard_3-0-0_115077_2000-12-18_final
2001-02-04 11:43:14	ga_ls7e_ard_3-0-0_115079_2001-02-04_final
2001-09-16 11:41:18	ga_ls7e_ard_3-0-0_115079_2001-09-16_final
2003-08-05 11:41:11	ga_ls7e_ard_3-0-0_115079_2003-08-05_final
2011-08-27 11:46:11	ga_ls7e_ard_3-0-0_115079_2011-08-27_final
2015-05-02 11:52:07	ga_ls7e_ard_3-0-0_115079_2015-05-02_final
2016-05-20 11:54:25	ga_ls7e_ard_3-1-0_115077_2016-05-20_final
2016-06-30 11:49:59	ga_ls7e_ard_3-0-0_114081_2016-06-30_final
2017-07-26 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-07-26_final
2019-04-27 11:44:14	ga_ls7e_ard_3-0-0_115079_2019-04-27_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final
2020-11-25 09:21:57	ga_ls7e_ard_3-1-0_097077_2020-11-24_final
2020-11-26 10:04:21	ga_ls7e_ard_3-1-0_104075_2020-11-26_final
2020-11-27 10:49:08	ga_ls7e_ard_3-1-0_111079_2020-11-27_final
2020-11-29 08:57:21	ga_ls7e_ard_3-1-0_093078_2020-11-28_final
2021-01-15 09:49:34	ga_ls7e_ard_3-1-0_102078_2021-01-15_final
2021-01-16 08:53:53	ga_ls7e_ard_3-1-0_093078_2021-01-15_final
2021-01-16 08:55:52	ga_ls7e_ard_3-1-0_093083_2021-01-15_final
2021-01-21 09:12:51	ga_ls7e_ard_3-2-0_096080_2021-01-20_final
2021-01-23 09:01:33	ga_ls7e_ard_3-2-0_094083_2021-01-22_final
2021-01-27 08:35:45	ga_ls7e_ard_3-2-0_090081_2021-01-26_final
2021-01-28 10:56:13	ga_ls7e_ard_3-2-0_113077_2021-01-28_final
2021-02-06 10:50:10	ga_ls7e_ard_3-2-0_112079_2021-02-06_final
2021-02-14 10:00:08	ga_ls7e_ard_3-2-0_104079_2021-02-14_final
2021-02-25 09:39:33	ga_ls7e_ard_3-2-0_101076_2021-02-25_final
2021-02-26 10:23:08	ga_ls7e_ard_3-2-0_108077_2021-02-26_final
2021-03-02 09:54:55	ga_ls7e_ard_3-2-0_104069_2021-03-02_final
2021-03-05 10:29:34	ga_ls7e_ard_3-2-0_109079_2021-03-05_final
2021-03-18 09:57:39	ga_ls7e_ard_3-2-0_104079_2021-03-18_final
2021-03-26 09:07:10	ga_ls7e_ard_3-2-0_096078_2021-03-25_final
2021-03-26 09:09:09	ga_ls7e_ard_3-2-0_096083_2021-03-25_final
2021-03-26 10:46:26	ga_ls7e_ard_3-2-0_112079_2021-03-26_final
2021-03-27 09:48:21	ga_ls7e_ard_3-2-0_103073_2021-03-27_final
2021-03-30 08:42:07	ga_ls7e_ard_3-2-0_092078_2021-03-29_final
2021-04-02 09:12:22	ga_ls7e_ard_3-2-0_097077_2021-04-01_final
2021-04-09 10:56:27	ga_ls7e_ard_3-2-0_114076_2021-04-09_final
2021-04-11 09:07:50	ga_ls7e_ard_3-2-0_096083_2021-04-10_final
2021-04-15 10:16:52	ga_ls7e_ard_3-2-0_108071_2021-04-15_final
2021-04-17 10:06:44	ga_ls7e_ard_3-2-0_106077_2021-04-17_final
2021-04-19 09:54:37	ga_ls7e_ard_3-2-0_104078_2021-04-19_final
2021-04-20 08:59:18	ga_ls7e_ard_3-2-0_095079_2021-04-19_final
2021-04-27 09:04:29	ga_ls7e_ard_3-2-0_096078_2021-04-26_final
2021-04-27 10:42:58	ga_ls7e_ard_3-2-0_112077_2021-04-27_final
2021-05-01 10:17:55	ga_ls7e_ard_3-2-0_108077_2021-05-01_final
2021-05-03 10:05:23	ga_ls7e_ard_3-2-0_106077_2021-05-03_final
2021-05-09 09:29:24	ga_ls7e_ard_3-2-0_100081_2021-05-08_final
2021-05-15 08:49:50	ga_ls7e_ard_3-2-0_094076_2021-05-14_final
2021-05-20 09:10:20	ga_ls7e_ard_3-2-0_097082_2021-05-19_final
2021-05-27 09:15:31	ga_ls7e_ard_3-2-0_098081_2021-05-26_final
2021-06-20 10:02:11	ga_ls7e_ard_3-2-0_106079_2021-06-20_final
2021-07-01 09:42:19	ga_ls7e_ard_3-2-0_103078_2021-07-01_final
2021-07-11 08:40:05	ga_ls7e_ard_3-2-0_093079_2021-07-10_final
2021-07-22 09:59:28	ga_ls7e_ard_3-2-0_106079_2021-07-22_final
2021-07-27 10:17:59	ga_ls7e_ard_3-2-0_109080_2021-07-27_final
2021-08-02 09:39:58	ga_ls7e_ard_3-2-0_103079_2021-08-02_final
2021-08-17 08:54:34	ga_ls7e_ard_3-2-0_096077_2021-08-16_final
2021-08-23 09:56:39	ga_ls7e_ard_3-2-0_106079_2021-08-23_final
2021-08-27 09:31:36	ga_ls7e_ard_3-2-0_102079_2021-08-27_final
2021-09-08 08:17:36	ga_ls7e_ard_3-2-0_090082_2021-09-07_final
2021-09-10 09:41:32	ga_ls7e_ard_3-2-0_104076_2021-09-10_final
2021-09-10 09:42:20	ga_ls7e_ard_3-2-0_104078_2021-09-10_final
2021-09-13 08:33:42	ga_ls7e_ard_3-2-0_093077_2021-09-12_final
2021-09-13 08:38:05	ga_ls7e_ard_3-2-0_093088_2021-09-12_final
2021-09-15 10:00:50	ga_ls7e_ard_3-2-0_107079_2021-09-15_final
2021-09-17 09:47:54	ga_ls7e_ard_3-2-0_105078_2021-09-17_final
2021-09-18 10:31:04	ga_ls7e_ard_3-2-0_112078_2021-09-18_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-09-24 08:15:46	ga_ls7e_ard_3-2-0_090081_2021-09-23_final
2021-09-26 09:39:19	ga_ls7e_ard_3-2-0_104074_2021-09-26_final
2021-09-30 09:13:50	ga_ls7e_ard_3-2-0_100073_2021-09-29_final
2021-10-03 09:44:28	ga_ls7e_ard_3-2-0_105073_2021-10-03_final
2021-10-04 10:29:38	ga_ls7e_ard_3-2-0_112078_2021-10-04_final
2021-10-18 08:59:53	ga_ls7e_ard_3-2-0_098073_2021-10-17_final
2021-10-21 09:29:43	ga_ls7e_ard_3-2-0_103071_2021-10-20_final
2021-10-31 08:30:59	ga_ls7e_ard_3-2-0_093081_2021-10-30_final
2021-10-31 08:31:23	ga_ls7e_ard_3-2-0_093082_2021-10-30_final
2021-11-01 09:12:10	ga_ls7e_ard_3-2-0_100076_2021-10-31_final
2021-11-14 08:40:01	ga_ls7e_ard_3-2-1_095076_2021-11-13_final
2021-11-30 08:39:16	ga_ls7e_ard_3-2-1_095078_2021-11-29_final
2021-12-06 09:40:55	ga_ls7e_ard_3-2-1_105079_2021-12-06_final
2021-12-09 08:31:27	ga_ls7e_ard_3-2-1_094076_2021-12-08_final
2021-12-13 09:47:13	ga_ls7e_ard_3-2-1_106081_2021-12-13_final
2021-12-25 10:09:58	ga_ls7e_ard_3-2-1_110079_2021-12-25_final
2021-12-27 09:54:37	ga_ls7e_ard_3-2-1_108072_2021-12-27_final
2021-12-31 09:30:18	ga_ls7e_ard_3-2-1_104074_2021-12-31_final
2022-01-05 09:51:07	ga_ls7e_ard_3-2-1_107081_2022-01-05_final
2022-01-10 08:28:43	ga_ls7e_ard_3-2-1_094077_2022-01-09_final
2022-01-21 09:50:01	ga_ls7e_ard_3-2-1_107082_2022-01-21_final
2022-02-02 08:31:53	ga_ls7e_ard_3-2-1_095075_2022-02-01_final
2022-02-19 09:15:24	ga_ls7e_ard_3-2-1_102080_2022-02-18_final
2022-02-20 09:58:34	ga_ls7e_ard_3-2-1_109080_2022-02-20_final
2022-02-25 10:14:38	ga_ls7e_ard_3-2-1_112075_2022-02-25_final
2022-03-05 09:23:14	ga_ls7e_ard_3-2-1_104072_2022-03-04_final
2022-03-05 09:24:25	ga_ls7e_ard_3-2-1_104075_2022-03-04_final
2022-03-06 08:31:06	ga_ls7e_ard_3-2-1_095081_2022-03-05_final
2022-03-07 09:13:04	ga_ls7e_ard_3-2-1_102078_2022-03-06_final
2022-03-09 08:59:18	ga_ls7e_ard_3-2-1_100075_2022-03-08_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_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