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
2000-01-21 09:39:35	ga_ls7e_ard_3-1-0_095073_2000-01-21_final
2001-02-08 09:37:12	ga_ls7e_ard_3-1-0_095073_2001-02-08_final
2001-03-12 09:37:07	ga_ls7e_ard_3-1-0_095073_2001-03-12_final
2004-07-10 09:40:59	ga_ls7e_ard_3-0-0_095086_2004-07-10_final
2005-02-03 09:36:17	ga_ls7e_ard_3-1-0_095073_2005-02-03_final
2005-03-07 09:40:29	ga_ls7e_ard_3-0-0_095083_2005-03-07_final
2005-06-11 09:41:04	ga_ls7e_ard_3-0-0_095085_2005-06-11_final
2005-09-15 09:40:39	ga_ls7e_ard_3-0-0_095085_2005-09-15_final
2006-06-14 09:41:36	ga_ls7e_ard_3-0-0_095085_2006-06-14_final
2007-11-24 09:42:35	ga_ls7e_ard_3-0-0_095087_2007-11-24_final
2008-11-26 09:38:29	ga_ls7e_ard_3-1-0_095079_2008-11-26_final
2009-11-29 09:42:22	ga_ls7e_ard_3-0-0_095085_2009-11-29_final
2011-02-04 09:45:00	ga_ls7e_ard_3-0-0_095085_2011-02-04_final
2013-03-29 09:47:38	ga_ls7e_ard_3-0-0_095085_2013-03-29_final
2015-06-07 09:51:34	ga_ls7e_ard_3-0-0_095086_2015-06-07_final
2016-02-18 09:46:17	ga_ls7e_ard_3-0-0_095067_2016-02-18_final
2016-07-27 09:53:48	ga_ls7e_ard_3-0-0_095084_2016-07-27_final
2017-02-04 09:54:23	ga_ls7e_ard_3-0-0_095087_2017-02-04_final
2017-11-03 09:55:01	ga_ls7e_ard_3-0-0_095087_2017-11-03_final
2018-08-18 09:50:06	ga_ls7e_ard_3-0-0_095085_2018-08-18_final
2018-10-05 09:49:26	ga_ls7e_ard_3-0-0_095086_2018-10-05_final
2019-03-30 09:40:27	ga_ls7e_ard_3-0-0_095076_2019-03-30_final
2020-02-13 09:28:20	ga_ls7e_ard_3-1-0_095080_2020-02-12_final
2020-08-23 09:19:49	ga_ls7e_ard_3-1-0_095087_2020-08-22_final
2021-02-27 09:30:14	ga_ls7e_ard_3-2-0_099084_2021-02-27_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_final
2021-03-08 10:58:15	ga_ls7e_ard_3-2-0_114074_2021-03-08_final
2021-03-10 09:11:38	ga_ls7e_ard_3-2-0_096086_2021-03-09_final
2021-03-25 08:23:59	ga_ls7e_ard_3-2-0_089078_2021-03-24_final
2021-04-01 10:07:40	ga_ls7e_ard_3-2-0_106076_2021-04-01_final
2021-04-16 09:19:35	ga_ls7e_ard_3-2-0_099067_2021-04-15_final
2021-04-16 09:20:22	ga_ls7e_ard_3-2-0_099069_2021-04-15_final
2021-05-02 11:00:18	ga_ls7e_ard_3-2-0_115075_2021-05-02_final
2021-05-10 10:09:47	ga_ls7e_ard_3-2-0_107074_2021-05-10_final
2021-05-18 09:23:16	ga_ls7e_ard_3-2-0_099083_2021-05-17_final
2021-05-21 09:53:31	ga_ls7e_ard_3-2-0_104082_2021-05-21_final
2021-05-22 10:36:41	ga_ls7e_ard_3-2-0_111082_2021-05-22_final
2021-05-26 08:33:56	ga_ls7e_ard_3-2-0_091085_2021-05-25_final
2021-05-27 09:16:19	ga_ls7e_ard_3-2-0_098083_2021-05-26_final
2021-05-30 09:42:34	ga_ls7e_ard_3-2-0_103072_2021-05-30_final
2021-05-31 08:44:52	ga_ls7e_ard_3-2-0_094067_2021-05-30_final
2021-06-03 09:22:18	ga_ls7e_ard_3-2-0_099084_2021-06-02_final
2021-06-05 09:07:23	ga_ls7e_ard_3-2-0_097078_2021-06-04_final
2021-06-05 09:10:10	ga_ls7e_ard_3-2-0_097085_2021-06-04_final
2021-06-08 09:34:03	ga_ls7e_ard_3-2-0_102068_2021-06-08_final
2021-06-11 08:32:37	ga_ls7e_ard_3-2-0_091085_2021-06-10_final
2021-06-24 09:33:56	ga_ls7e_ard_3-2-0_102071_2021-06-24_final
2021-06-28 09:07:41	ga_ls7e_ard_3-2-0_098068_2021-06-27_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-13 08:31:56	ga_ls7e_ard_3-2-0_091090_2021-07-12_final
2021-07-16 09:00:35	ga_ls7e_ard_3-2-0_096085_2021-07-15_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-07-18 10:21:45	ga_ls7e_ard_3-2-0_110072_2021-07-18_final
2021-07-23 08:59:47	ga_ls7e_ard_3-2-0_097069_2021-07-22_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-07-31 08:12:50	ga_ls7e_ard_3-2-0_089077_2021-07-30_final
2021-08-03 10:20:21	ga_ls7e_ard_3-2-0_110072_2021-08-03_final
2021-08-05 10:12:12	ga_ls7e_ard_3-2-0_108083_2021-08-05_final
2021-08-10 10:23:55	ga_ls7e_ard_3-2-0_111067_2021-08-10_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-08-18 09:39:20	ga_ls7e_ard_3-2-0_103081_2021-08-18_final
2021-08-23 09:55:28	ga_ls7e_ard_3-2-0_106076_2021-08-23_final
2021-09-13 10:15:22	ga_ls7e_ard_3-2-0_109084_2021-09-13_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final
2021-10-03 09:48:04	ga_ls7e_ard_3-2-0_105082_2021-10-03_final
2021-10-09 09:08:28	ga_ls7e_ard_3-2-0_099077_2021-10-08_final
2021-10-14 09:23:46	ga_ls7e_ard_3-2-0_102070_2021-10-13_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-10-29 08:44:20	ga_ls7e_ard_3-2-0_095083_2021-10-28_final
2021-11-11 09:48:17	ga_ls7e_ard_3-2-0_106076_2021-11-11_final
2021-11-16 10:06:44	ga_ls7e_ard_3-2-1_109077_2021-11-16_final
2021-11-18 08:14:54	ga_ls7e_ard_3-2-1_091076_2021-11-17_final
2021-11-19 08:55:16	ga_ls7e_ard_3-2-1_098069_2021-11-18_final
2021-11-21 08:43:31	ga_ls7e_ard_3-2-1_096071_2021-11-20_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-12-13 09:45:14	ga_ls7e_ard_3-2-1_106076_2021-12-13_final
2021-12-18 10:02:29	ga_ls7e_ard_3-2-1_109074_2021-12-18_final
2021-12-21 08:52:13	ga_ls7e_ard_3-2-1_098069_2021-12-20_final
2021-12-31 09:31:29	ga_ls7e_ard_3-2-1_104077_2021-12-31_final
2022-01-01 08:34:10	ga_ls7e_ard_3-2-1_095073_2021-12-31_final
2022-01-01 08:39:22	ga_ls7e_ard_3-2-1_095086_2021-12-31_final
2022-01-08 08:44:03	ga_ls7e_ard_3-2-1_096084_2022-01-07_final
2022-01-16 09:26:22	ga_ls7e_ard_3-2-1_104068_2022-01-15_final
2022-01-17 08:37:50	ga_ls7e_ard_3-2-1_095086_2022-01-16_final
2022-01-23 07:57:47	ga_ls7e_ard_3-2-1_089080_2022-01-22_final
2022-02-01 09:29:35	ga_ls7e_ard_3-2-1_104080_2022-01-31_final
2022-02-15 08:00:50	ga_ls7e_ard_3-2-1_090078_2022-02-14_final
2022-02-16 08:40:48	ga_ls7e_ard_3-2-1_097070_2022-02-15_final
2022-02-18 10:08:43	ga_ls7e_ard_3-2-1_111074_2022-02-18_final
2022-02-20 09:56:10	ga_ls7e_ard_3-2-1_109074_2022-02-20_final
2022-02-22 08:07:32	ga_ls7e_ard_3-2-1_091081_2022-02-21_final
2022-03-06 08:27:31	ga_ls7e_ard_3-2-1_095072_2022-03-05_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-28 09:28:21	ga_ls7e_ard_3-2-1_105075_2022-03-27_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years