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
2000-01-02 10:48:23	ga_ls7e_ard_3-1-0_106075_2000-01-02_final
2000-04-19 09:30:29	ga_ls7e_ard_3-1-0_094067_2000-04-19_final
2000-10-28 09:28:33	ga_ls7e_ard_3-1-0_094067_2000-10-27_final
2002-09-16 09:26:02	ga_ls7e_ard_3-1-0_094067_2002-09-15_final
2003-04-19 11:18:01	ga_ls7e_ard_3-1-0_111082_2003-04-19_final
2003-11-26 09:07:22	ga_ls7e_ard_3-1-0_090080_2003-11-25_final
2004-05-28 09:57:17	ga_ls7e_ard_3-1-0_098080_2004-05-28_final
2004-09-28 09:35:24	ga_ls7e_ard_3-1-0_095073_2004-09-28_final
2005-01-15 10:45:47	ga_ls7e_ard_3-1-0_106077_2005-01-15_final
2005-05-03 09:27:49	ga_ls7e_ard_3-1-0_094067_2005-05-02_final
2006-01-23 09:29:58	ga_ls7e_ard_3-1-0_093087_2006-01-22_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2006-05-31 09:30:05	ga_ls7e_ard_3-1-0_093087_2006-05-31_final
2006-12-28 09:58:21	ga_ls7e_ard_3-1-0_098080_2006-12-28_final
2007-02-22 10:46:03	ga_ls7e_ard_3-1-0_106075_2007-02-22_final
2007-03-25 10:01:40	ga_ls7e_ard_3-1-0_099072_2007-03-25_final
2007-11-23 10:31:24	ga_ls7e_ard_3-1-0_104070_2007-11-23_final
2008-07-15 10:14:05	ga_ls7e_ard_3-1-0_101075_2008-07-15_final
2009-03-18 09:36:59	ga_ls7e_ard_3-1-0_095073_2009-03-18_final
2009-04-28 11:09:30	ga_ls7e_ard_3-1-0_110072_2009-04-28_final
2009-06-19 10:46:00	ga_ls7e_ard_3-1-0_106075_2009-06-19_final
2010-04-11 09:55:10	ga_ls7e_ard_3-1-0_098067_2010-04-11_final
2010-09-18 10:00:25	ga_ls7e_ard_3-1-0_098080_2010-09-18_final
2014-04-26 11:16:18	ga_ls7e_ard_3-1-0_110072_2014-04-26_final
2014-11-02 11:34:26	ga_ls7e_ard_3-1-0_112084_2014-11-02_final
2016-02-18 09:48:41	ga_ls7e_ard_3-1-0_095073_2016-02-18_final
2016-04-13 11:38:30	ga_ls7e_ard_3-1-0_112084_2016-04-13_final
2016-04-19 10:57:53	ga_ls7e_ard_3-1-0_106075_2016-04-19_final
2017-02-17 10:57:33	ga_ls7e_ard_3-1-0_106075_2017-02-17_final
2017-05-04 11:21:34	ga_ls7e_ard_3-1-0_110072_2017-05-04_final
2018-03-07 10:17:37	ga_ls7e_ard_3-1-0_099085_2018-03-07_final
2018-09-08 10:06:13	ga_ls7e_ard_3-1-0_098080_2018-09-08_final
2019-02-16 09:07:31	ga_ls7e_ard_3-1-0_089083_2019-02-15_final
2019-03-19 10:02:09	ga_ls7e_ard_3-1-0_098083_2019-03-19_final
2019-08-28 11:22:56	ga_ls7e_ard_3-1-0_112084_2019-08-28_final
2019-08-30 09:27:12	ga_ls7e_ard_3-1-0_094073_2019-08-29_final
2019-09-27 09:48:42	ga_ls7e_ard_3-1-0_098068_2019-09-27_final
2019-10-21 10:37:33	ga_ls7e_ard_3-1-0_106069_2019-10-21_final
2019-10-22 11:26:21	ga_ls7e_ard_3-1-0_113083_2019-10-22_final
2019-10-31 11:18:59	ga_ls7e_ard_3-1-0_112081_2019-10-31_final
2019-11-02 11:00:57	ga_ls7e_ard_3-1-0_110067_2019-11-02_final
2019-11-11 10:55:57	ga_ls7e_ard_3-1-0_109071_2019-11-11_final
2019-11-12 10:00:41	ga_ls7e_ard_3-1-0_100072_2019-11-12_final
2019-11-22 09:00:48	ga_ls7e_ard_3-1-0_090078_2019-11-21_final
2019-11-30 09:46:16	ga_ls7e_ard_3-1-0_098069_2019-11-30_final
2019-12-08 09:02:49	ga_ls7e_ard_3-1-0_090085_2019-12-07_final
2019-12-13 09:17:07	ga_ls7e_ard_3-1-0_093075_2019-12-12_final
2019-12-23 09:50:54	ga_ls7e_ard_3-1-0_099068_2019-12-23_final
2020-01-01 09:48:14	ga_ls7e_ard_3-1-0_098078_2020-01-01_final
2020-01-19 11:16:15	ga_ls7e_ard_3-1-0_112084_2020-01-19_final
2020-02-03 08:50:58	ga_ls7e_ard_3-1-0_089078_2020-02-02_final
2020-02-26 10:31:38	ga_ls7e_ard_3-1-0_106070_2020-02-26_final
2020-03-03 09:54:38	ga_ls7e_ard_3-1-0_100071_2020-03-03_final
2020-03-05 11:22:38	ga_ls7e_ard_3-1-0_114075_2020-03-05_final
2020-03-12 09:52:21	ga_ls7e_ard_3-1-0_099082_2020-03-12_final
2020-03-28 11:28:45	ga_ls7e_ard_3-1-0_115078_2020-03-28_final
2020-03-29 08:58:11	ga_ls7e_ard_3-1-0_090088_2020-03-28_final
2020-04-01 10:59:25	ga_ls7e_ard_3-1-0_111067_2020-04-01_final
2020-04-10 10:52:43	ga_ls7e_ard_3-1-0_110067_2020-04-10_final
2020-04-26 10:58:10	ga_ls7e_ard_3-1-0_110083_2020-04-26_final
2020-04-29 11:26:30	ga_ls7e_ard_3-1-0_115077_2020-04-29_final
2020-08-09 10:44:26	ga_ls7e_ard_3-1-0_109080_2020-08-09_final
2020-08-17 09:53:18	ga_ls7e_ard_3-1-0_101077_2020-08-17_final
2020-08-18 09:01:36	ga_ls7e_ard_3-1-0_092087_2020-08-17_final
2020-08-19 09:42:00	ga_ls7e_ard_3-1-0_099080_2020-08-19_final
2020-09-01 10:49:56	ga_ls7e_ard_3-1-0_110082_2020-09-01_final
2020-09-20 09:39:30	ga_ls7e_ard_3-1-0_099079_2020-09-20_final
2020-09-22 09:27:24	ga_ls7e_ard_3-1-0_097080_2020-09-21_final
2020-09-24 10:51:24	ga_ls7e_ard_3-1-0_111074_2020-09-24_final
2020-10-27 09:53:16	ga_ls7e_ard_3-1-0_102073_2020-10-27_final
2020-10-30 08:51:28	ga_ls7e_ard_3-1-0_091089_2020-10-29_final
2020-11-04 09:03:17	ga_ls7e_ard_3-1-0_094073_2020-11-03_final
2020-11-08 08:39:53	ga_ls7e_ard_3-1-0_090077_2020-11-07_final
2020-11-08 10:15:10	ga_ls7e_ard_3-1-0_106068_2020-11-08_final
2020-11-08 10:15:58	ga_ls7e_ard_3-1-0_106070_2020-11-08_final
2020-11-09 09:26:16	ga_ls7e_ard_3-1-0_097085_2020-11-08_final
2020-11-13 10:34:34	ga_ls7e_ard_3-1-0_109071_2020-11-13_final
2020-11-17 10:09:10	ga_ls7e_ard_3-1-0_105070_2020-11-17_final
2020-12-02 11:06:30	ga_ls7e_ard_3-1-0_114077_2020-12-02_final
2020-12-06 09:05:00	ga_ls7e_ard_3-1-0_094083_2020-12-05_final
2020-12-22 10:38:41	ga_ls7e_ard_3-1-0_110073_2020-12-22_final
2020-12-25 11:09:46	ga_ls7e_ard_3-1-0_115074_2020-12-25_final
2021-01-02 10:18:35	ga_ls7e_ard_3-1-0_107071_2021-01-02_final
2021-01-05 10:54:28	ga_ls7e_ard_3-1-0_112084_2021-01-05_final
2021-01-12 09:21:40	ga_ls7e_ard_3-1-0_097085_2021-01-11_final
2021-01-13 09:58:05	ga_ls7e_ard_3-1-0_104068_2021-01-13_final
2021-01-16 10:30:22	ga_ls7e_ard_3-1-0_109072_2021-01-16_final
2021-01-18 10:22:39	ga_ls7e_ard_3-1-0_107084_2021-01-18_final
2021-02-03 10:16:42	ga_ls7e_ard_3-2-0_107072_2021-02-03_final
2021-02-06 09:11:17	ga_ls7e_ard_3-2-0_096079_2021-02-05_final
2021-02-08 08:56:23	ga_ls7e_ard_3-2-0_094073_2021-02-07_final
2021-02-17 10:29:36	ga_ls7e_ard_3-2-0_109076_2021-02-17_final
2021-02-24 10:34:03	ga_ls7e_ard_3-2-0_110073_2021-02-24_final
2021-02-25 09:40:21	ga_ls7e_ard_3-2-0_101078_2021-02-25_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-10 09:09:14	ga_ls7e_ard_3-2-0_096080_2021-03-09_final
2021-03-15 11:05:28	ga_ls7e_ard_3-2-0_115078_2021-03-15_final
2021-03-17 10:54:56	ga_ls7e_ard_3-2-0_113083_2021-03-17_final
2021-03-19 08:59:09	ga_ls7e_ard_3-2-0_095072_2021-03-18_final
2021-03-28 10:32:19	ga_ls7e_ard_3-2-0_110075_2021-03-28_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