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
1999-09-15 09:44:25	ga_ls7e_ard_3-0-0_095085_1999-09-15_final
2000-02-06 09:43:57	ga_ls7e_ard_3-0-0_095084_2000-02-06_final
2000-03-25 09:42:35	ga_ls7e_ard_3-0-0_095081_2000-03-25_final
2000-10-03 09:42:01	ga_ls7e_ard_3-0-0_095085_2000-10-03_final
2002-07-21 09:40:17	ga_ls7e_ard_3-0-0_095086_2002-07-21_final
2003-11-13 09:39:44	ga_ls7e_ard_3-0-0_095084_2003-11-13_final
2012-04-11 09:45:14	ga_ls7e_ard_3-0-0_095084_2012-04-11_final
2013-08-04 09:44:51	ga_ls7e_ard_3-0-0_095080_2013-08-04_final
2014-02-12 09:48:25	ga_ls7e_ard_3-0-0_095085_2014-02-12_final
2014-11-27 09:49:31	ga_ls7e_ard_3-0-0_095084_2014-11-27_final
2015-08-10 09:49:25	ga_ls7e_ard_3-0-0_095080_2015-08-10_final
2016-08-28 09:53:28	ga_ls7e_ard_3-0-0_095083_2016-08-28_final
2017-02-20 09:51:36	ga_ls7e_ard_3-0-0_095080_2017-02-20_final
2018-01-06 09:53:41	ga_ls7e_ard_3-0-0_095085_2018-01-06_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2018-09-03 09:47:47	ga_ls7e_ard_3-0-0_095080_2018-09-03_final
2020-07-22 09:19:27	ga_ls7e_ard_3-1-0_095081_2020-07-21_final
2021-01-30 09:04:02	ga_ls7e_ard_3-2-0_095075_2021-01-29_final
2021-02-08 08:57:59	ga_ls7e_ard_3-2-0_094077_2021-02-07_final
2021-02-15 10:42:55	ga_ls7e_ard_3-2-0_111078_2021-02-15_final
2021-02-15 10:43:43	ga_ls7e_ard_3-2-0_111080_2021-02-15_final
2021-02-16 09:46:49	ga_ls7e_ard_3-2-0_102077_2021-02-16_final
2021-02-22 09:09:17	ga_ls7e_ard_3-2-0_096077_2021-02-21_final
2021-02-24 08:57:34	ga_ls7e_ard_3-2-0_094079_2021-02-23_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-03-02 09:56:55	ga_ls7e_ard_3-2-0_104074_2021-03-02_final
2021-03-07 10:16:39	ga_ls7e_ard_3-2-0_107078_2021-03-07_final
2021-03-12 08:57:07	ga_ls7e_ard_3-2-0_094081_2021-03-11_final
2021-03-12 08:57:55	ga_ls7e_ard_3-2-0_094083_2021-03-11_final
2021-03-17 10:54:09	ga_ls7e_ard_3-2-0_113081_2021-03-17_final
2021-03-25 10:00:52	ga_ls7e_ard_3-2-0_105073_2021-03-25_final
2021-03-28 08:53:50	ga_ls7e_ard_3-2-0_094076_2021-03-27_final
2021-04-02 10:50:27	ga_ls7e_ard_3-2-0_113075_2021-04-02_final
2021-04-03 09:53:09	ga_ls7e_ard_3-2-0_104071_2021-04-03_final
2021-04-03 09:53:33	ga_ls7e_ard_3-2-0_104072_2021-04-03_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-14 09:45:32	ga_ls7e_ard_3-2-0_103076_2021-05-14_final
2021-05-20 10:47:13	ga_ls7e_ard_3-2-0_113077_2021-05-20_final
2021-05-28 09:54:42	ga_ls7e_ard_3-2-0_105071_2021-05-28_final
2021-05-29 09:02:59	ga_ls7e_ard_3-2-0_096081_2021-05-28_final
2021-05-31 08:48:03	ga_ls7e_ard_3-2-0_094075_2021-05-30_final
2021-06-05 10:45:04	ga_ls7e_ard_3-2-0_113075_2021-06-05_final
2021-06-06 09:49:22	ga_ls7e_ard_3-2-0_104075_2021-06-06_final
2021-06-08 09:35:39	ga_ls7e_ard_3-2-0_102072_2021-06-08_final
2021-06-21 09:05:17	ga_ls7e_ard_3-2-0_097076_2021-06-20_final
2021-06-21 09:08:04	ga_ls7e_ard_3-2-0_097083_2021-06-20_final
2021-06-23 08:52:45	ga_ls7e_ard_3-2-0_095076_2021-06-22_final
2021-06-26 09:23:00	ga_ls7e_ard_3-2-0_100075_2021-06-25_final
2021-07-06 10:00:03	ga_ls7e_ard_3-2-0_106077_2021-07-06_final
2021-07-10 09:34:35	ga_ls7e_ard_3-2-0_102076_2021-07-10_final
2021-07-13 08:27:09	ga_ls7e_ard_3-2-0_091078_2021-07-12_final
2021-07-20 08:34:43	ga_ls7e_ard_3-2-0_092083_2021-07-19_final
2021-07-24 09:47:44	ga_ls7e_ard_3-2-0_104081_2021-07-24_final
2021-07-27 08:38:42	ga_ls7e_ard_3-2-0_093079_2021-07-26_final
2021-08-12 08:36:53	ga_ls7e_ard_3-2-0_093078_2021-08-11_final
2021-08-12 10:16:10	ga_ls7e_ard_3-2-0_109079_2021-08-12_final
2021-08-17 10:33:03	ga_ls7e_ard_3-2-0_112076_2021-08-17_final
2021-08-29 09:16:40	ga_ls7e_ard_3-2-0_100073_2021-08-28_final
2021-08-29 09:19:28	ga_ls7e_ard_3-2-0_100080_2021-08-28_final
2021-09-01 09:50:06	ga_ls7e_ard_3-2-0_105080_2021-09-01_final
2021-09-10 09:39:57	ga_ls7e_ard_3-2-0_104072_2021-09-10_final
2021-09-16 09:03:32	ga_ls7e_ard_3-2-0_098075_2021-09-15_final
2021-09-16 10:39:13	ga_ls7e_ard_3-2-0_114067_2021-09-16_final
2021-09-26 09:40:30	ga_ls7e_ard_3-2-0_104077_2021-09-26_final
2021-09-27 08:47:59	ga_ls7e_ard_3-2-0_095085_2021-09-26_final
2021-10-02 09:01:18	ga_ls7e_ard_3-2-0_098073_2021-10-01_final
2021-10-08 08:27:41	ga_ls7e_ard_3-2-0_092083_2021-10-07_final
2021-10-12 09:36:42	ga_ls7e_ard_3-2-0_104071_2021-10-12_final
2021-10-20 08:49:20	ga_ls7e_ard_3-2-0_096078_2021-10-19_final
2021-10-26 09:50:12	ga_ls7e_ard_3-2-0_106077_2021-10-26_final
2021-10-28 09:38:03	ga_ls7e_ard_3-2-0_104078_2021-10-28_final
2021-10-29 10:22:01	ga_ls7e_ard_3-2-0_111080_2021-10-29_final
2021-10-31 10:09:28	ga_ls7e_ard_3-2-0_109080_2021-10-31_final
2021-11-04 09:43:58	ga_ls7e_ard_3-2-0_105079_2021-11-04_final
2021-11-09 08:24:21	ga_ls7e_ard_3-2-0_092082_2021-11-08_final
2021-11-16 08:27:51	ga_ls7e_ard_3-2-1_093077_2021-11-15_final
2021-11-22 09:27:28	ga_ls7e_ard_3-2-1_103073_2021-11-21_final
2021-11-25 09:59:16	ga_ls7e_ard_3-2-1_108076_2021-11-25_final
2021-11-30 08:40:04	ga_ls7e_ard_3-2-1_095080_2021-11-29_final
2021-12-01 09:22:50	ga_ls7e_ard_3-2-1_102079_2021-11-30_final
2021-12-07 08:42:24	ga_ls7e_ard_3-2-1_096072_2021-12-06_final
2021-12-07 08:43:36	ga_ls7e_ard_3-2-1_096075_2021-12-06_final
2021-12-09 08:32:15	ga_ls7e_ard_3-2-1_094078_2021-12-08_final
2021-12-22 09:36:59	ga_ls7e_ard_3-2-1_105073_2021-12-22_final
2021-12-23 10:21:44	ga_ls7e_ard_3-2-1_112077_2021-12-23_final
2022-01-07 09:34:35	ga_ls7e_ard_3-2-1_105071_2022-01-07_final
2022-01-07 09:38:58	ga_ls7e_ard_3-2-1_105082_2022-01-07_final
2022-01-12 08:18:34	ga_ls7e_ard_3-2-1_092083_2022-01-11_final
2022-01-14 09:44:06	ga_ls7e_ard_3-2-1_106081_2022-01-14_final
2022-01-15 08:46:47	ga_ls7e_ard_3-2-1_097077_2022-01-14_final
2022-01-19 10:01:46	ga_ls7e_ard_3-2-1_109080_2022-01-19_final
2022-01-21 09:48:25	ga_ls7e_ard_3-2-1_107078_2022-01-21_final
2022-02-11 08:25:58	ga_ls7e_ard_3-2-1_094078_2022-02-10_final
2022-02-18 08:30:38	ga_ls7e_ard_3-2-1_095076_2022-02-17_final
2022-02-19 09:14:36	ga_ls7e_ard_3-2-1_102078_2022-02-18_final
2022-02-24 09:33:04	ga_ls7e_ard_3-2-1_105079_2022-02-24_final
2022-02-28 09:07:58	ga_ls7e_ard_3-2-1_101079_2022-02-27_final
2022-03-04 08:44:27	ga_ls7e_ard_3-2-1_097083_2022-03-03_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-21 09:20:50	ga_ls7e_ard_3-2-1_104070_2022-03-20_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