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
2000-04-13 11:50:54	ga_ls7e_ard_3-0-0_116078_2000-04-13_final
2000-10-03 09:34:50	ga_ls7e_ard_3-0-0_095067_2000-10-03_final
2001-03-27 08:57:18	ga_ls7e_ard_3-0-0_088082_2001-03-26_final
2003-12-15 09:33:11	ga_ls7e_ard_3-0-0_095067_2003-12-15_final
2004-08-07 11:41:36	ga_ls7e_ard_3-0-0_115079_2004-08-07_final
2004-10-14 09:40:10	ga_ls7e_ard_3-0-0_095085_2004-10-14_final
2005-04-08 09:40:01	ga_ls7e_ard_3-0-0_095082_2005-04-08_final
2005-04-08 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-04-08_final
2006-09-18 09:36:19	ga_ls7e_ard_3-1-0_095073_2006-09-18_final
2007-11-24 09:41:23	ga_ls7e_ard_3-0-0_095084_2007-11-24_final
2009-03-17 08:57:18	ga_ls7e_ard_3-0-0_088082_2009-03-16_final
2009-03-18 09:38:34	ga_ls7e_ard_3-0-0_095077_2009-03-18_final
2009-04-19 09:42:21	ga_ls7e_ard_3-0-0_095086_2009-04-19_final
2009-05-21 09:36:51	ga_ls7e_ard_3-0-0_095072_2009-05-21_final
2009-07-08 09:42:45	ga_ls7e_ard_3-0-0_095087_2009-07-08_final
2010-01-16 09:38:44	ga_ls7e_ard_3-0-0_095074_2010-01-16_final
2010-07-27 09:44:13	ga_ls7e_ard_3-0-0_095086_2010-07-27_final
2011-05-27 09:40:00	ga_ls7e_ard_3-0-0_095072_2011-05-27_final
2012-02-07 09:40:54	ga_ls7e_ard_3-1-0_095073_2012-02-07_final
2012-06-29 09:01:16	ga_ls7e_ard_3-0-0_088081_2012-06-28_final
2013-10-06 09:03:01	ga_ls7e_ard_3-0-0_088082_2013-10-05_final
2016-03-01 11:54:21	ga_ls7e_ard_3-0-0_115078_2016-03-01_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-11-03 09:53:25	ga_ls7e_ard_3-0-0_095083_2017-11-03_final
2018-01-06 09:46:30	ga_ls7e_ard_3-0-0_095067_2018-01-06_final
2018-04-08 11:53:40	ga_ls7e_ard_3-0-0_115079_2018-04-08_final
2018-07-01 09:51:47	ga_ls7e_ard_3-0-0_095087_2018-07-01_final
2018-11-06 09:43:08	ga_ls7e_ard_3-0-0_095072_2018-11-06_final
2019-02-26 09:42:42	ga_ls7e_ard_3-1-0_095079_2019-02-26_final
2019-03-30 09:42:51	ga_ls7e_ard_3-0-0_095082_2019-03-30_final
2019-10-08 09:36:06	ga_ls7e_ard_3-1-0_095084_2019-10-08_final
2021-02-19 08:40:13	ga_ls7e_ard_3-2-0_091081_2021-02-18_final
2021-02-20 09:21:48	ga_ls7e_ard_3-2-0_098077_2021-02-19_final
2021-02-26 10:22:20	ga_ls7e_ard_3-2-0_108075_2021-02-26_final
2021-03-04 09:43:12	ga_ls7e_ard_3-2-0_102071_2021-03-04_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-26 09:02:46	ga_ls7e_ard_3-2-0_096067_2021-03-25_final
2021-03-27 09:51:32	ga_ls7e_ard_3-2-0_103081_2021-03-27_final
2021-03-28 08:55:02	ga_ls7e_ard_3-2-0_094079_2021-03-27_final
2021-03-31 09:22:54	ga_ls7e_ard_3-2-0_099072_2021-03-30_final
2021-04-09 09:15:35	ga_ls7e_ard_3-2-0_098071_2021-04-08_final
2021-04-10 08:23:04	ga_ls7e_ard_3-2-0_089079_2021-04-09_final
2021-04-11 10:43:08	ga_ls7e_ard_3-2-0_112074_2021-04-11_final
2021-04-13 08:48:56	ga_ls7e_ard_3-2-0_094067_2021-04-12_final
2021-04-25 09:14:14	ga_ls7e_ard_3-2-0_098071_2021-04-24_final
2021-04-25 10:51:31	ga_ls7e_ard_3-2-0_114067_2021-04-25_final
2021-05-09 09:25:49	ga_ls7e_ard_3-2-0_100072_2021-05-08_final
2021-05-11 09:18:29	ga_ls7e_ard_3-2-0_098085_2021-05-10_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-05-22 08:54:37	ga_ls7e_ard_3-2-0_095074_2021-05-21_final
2021-05-24 10:24:33	ga_ls7e_ard_3-2-0_109083_2021-05-24_final
2021-05-27 10:54:00	ga_ls7e_ard_3-2-0_114080_2021-05-27_final
2021-05-30 09:45:45	ga_ls7e_ard_3-2-0_103080_2021-05-30_final
2021-06-06 09:46:34	ga_ls7e_ard_3-2-0_104068_2021-06-06_final
2021-06-14 08:59:40	ga_ls7e_ard_3-2-0_096076_2021-06-13_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-06-30 10:40:01	ga_ls7e_ard_3-2-0_112083_2021-06-30_final
2021-07-01 09:43:31	ga_ls7e_ard_3-2-0_103081_2021-07-01_final
2021-07-02 10:25:06	ga_ls7e_ard_3-2-0_110077_2021-07-02_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-12 09:25:15	ga_ls7e_ard_3-2-0_100084_2021-07-11_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-18 10:21:45	ga_ls7e_ard_3-2-0_110072_2021-07-18_final
2021-07-27 10:14:23	ga_ls7e_ard_3-2-0_109071_2021-07-27_final
2021-08-14 10:05:13	ga_ls7e_ard_3-2-0_107083_2021-08-14_final
2021-08-16 09:46:42	ga_ls7e_ard_3-2-0_105068_2021-08-16_final
2021-08-22 09:13:53	ga_ls7e_ard_3-2-0_099080_2021-08-21_final
2021-08-29 09:21:04	ga_ls7e_ard_3-2-0_100084_2021-08-28_final
2021-08-30 08:25:45	ga_ls7e_ard_3-2-0_091085_2021-08-29_final
2021-09-01 08:13:13	ga_ls7e_ard_3-2-0_089085_2021-08-31_final
2021-09-01 09:48:06	ga_ls7e_ard_3-2-0_105075_2021-09-01_final
2021-09-28 09:27:10	ga_ls7e_ard_3-2-0_102075_2021-09-27_final
2021-09-29 10:10:44	ga_ls7e_ard_3-2-0_109076_2021-09-29_final
2021-10-20 10:29:25	ga_ls7e_ard_3-2-0_112081_2021-10-20_final
2021-10-22 10:14:29	ga_ls7e_ard_3-2-0_110075_2021-10-22_final
2021-10-24 08:26:39	ga_ls7e_ard_3-2-0_092084_2021-10-23_final
2021-10-28 09:39:39	ga_ls7e_ard_3-2-0_104082_2021-10-28_final
2021-10-30 09:22:19	ga_ls7e_ard_3-2-0_102070_2021-10-29_final
2021-11-12 08:53:22	ga_ls7e_ard_3-2-0_097078_2021-11-11_final
2021-12-02 10:02:49	ga_ls7e_ard_3-2-1_109071_2021-12-02_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-04 09:51:28	ga_ls7e_ard_3-2-1_107074_2021-12-04_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2021-12-13 08:08:45	ga_ls7e_ard_3-2-1_090082_2021-12-12_final
2021-12-23 08:40:04	ga_ls7e_ard_3-2-1_096070_2021-12-22_final
2021-12-30 08:51:32	ga_ls7e_ard_3-2-1_097085_2021-12-29_final
2022-01-03 10:04:53	ga_ls7e_ard_3-2-1_109084_2022-01-03_final
2022-01-11 09:12:17	ga_ls7e_ard_3-2-1_101078_2022-01-10_final
2022-01-12 09:52:15	ga_ls7e_ard_3-2-1_108070_2022-01-12_final
2022-01-18 09:15:01	ga_ls7e_ard_3-2-1_102071_2022-01-17_final
2022-01-28 08:18:37	ga_ls7e_ard_3-2-1_092087_2022-01-27_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_final
2022-02-02 08:34:40	ga_ls7e_ard_3-2-1_095082_2022-02-01_final
2022-02-14 08:52:10	ga_ls7e_ard_3-2-1_099067_2022-02-13_final
2022-02-16 10:22:52	ga_ls7e_ard_3-2-1_113078_2022-02-16_final
2022-03-02 10:32:18	ga_ls7e_ard_3-2-1_115074_2022-03-02_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_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