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
2000-04-10 09:44:21	ga_ls7e_ard_3-0-0_095086_2000-04-10_final
2000-05-12 09:44:31	ga_ls7e_ard_3-0-0_095087_2000-05-12_final
2001-09-20 09:39:14	ga_ls7e_ard_3-0-0_095083_2001-09-20_final
2001-12-25 09:41:05	ga_ls7e_ard_3-0-0_095087_2001-12-25_final
2002-01-26 09:40:50	ga_ls7e_ard_3-0-0_095086_2002-01-26_final
2003-01-29 09:40:53	ga_ls7e_ard_3-0-0_095087_2003-01-29_final
2003-02-14 09:40:40	ga_ls7e_ard_3-0-0_095086_2003-02-14_final
2003-05-21 09:39:51	ga_ls7e_ard_3-0-0_095084_2003-05-21_final
2008-11-26 09:41:17	ga_ls7e_ard_3-0-0_095086_2008-11-26_final
2009-08-09 09:41:23	ga_ls7e_ard_3-0-0_095084_2009-08-09_final
2009-12-15 09:41:47	ga_ls7e_ard_3-0-0_095083_2009-12-15_final
2012-04-27 09:44:44	ga_ls7e_ard_3-0-0_095082_2012-04-27_final
2013-11-08 09:46:33	ga_ls7e_ard_3-0-0_095082_2013-11-08_final
2014-07-22 09:49:57	ga_ls7e_ard_3-0-0_095087_2014-07-22_final
2014-10-10 09:48:45	ga_ls7e_ard_3-0-0_095083_2014-10-10_final
2014-10-26 09:48:30	ga_ls7e_ard_3-0-0_095082_2014-10-26_final
2016-02-18 09:52:40	ga_ls7e_ard_3-0-0_095083_2016-02-18_final
2016-03-21 09:52:31	ga_ls7e_ard_3-0-0_095082_2016-03-21_final
2016-07-11 09:53:45	ga_ls7e_ard_3-0-0_095084_2016-07-11_final
2017-02-04 09:53:35	ga_ls7e_ard_3-0-0_095085_2017-02-04_final
2017-06-12 09:54:12	ga_ls7e_ard_3-0-0_095085_2017-06-12_final
2018-10-21 09:47:28	ga_ls7e_ard_3-0-0_095082_2018-10-21_final
2019-07-20 09:38:41	ga_ls7e_ard_3-0-0_095082_2019-07-20_final
2019-08-05 09:39:14	ga_ls7e_ard_3-0-0_095085_2019-08-05_final
2020-02-13 09:29:08	ga_ls7e_ard_3-1-0_095082_2020-02-12_final
2020-12-13 09:11:51	ga_ls7e_ard_3-1-0_095086_2020-12-12_final
2021-02-08 10:35:16	ga_ls7e_ard_3-2-0_110073_2021-02-08_final
2021-02-11 11:06:44	ga_ls7e_ard_3-2-0_115075_2021-02-11_final
2021-02-20 11:01:05	ga_ls7e_ard_3-2-0_114078_2021-02-20_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-02-26 10:22:20	ga_ls7e_ard_3-2-0_108075_2021-02-26_final
2021-02-28 10:07:26	ga_ls7e_ard_3-2-0_106069_2021-02-28_final
2021-03-01 09:16:31	ga_ls7e_ard_3-2-0_097081_2021-02-28_final
2021-03-01 09:17:19	ga_ls7e_ard_3-2-0_097083_2021-02-28_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-10 09:06:03	ga_ls7e_ard_3-2-0_096072_2021-03-09_final
2021-03-22 09:31:00	ga_ls7e_ard_3-2-0_100075_2021-03-22_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-04-03 09:57:33	ga_ls7e_ard_3-2-0_104082_2021-04-03_final
2021-04-08 08:35:36	ga_ls7e_ard_3-2-0_091079_2021-04-07_final
2021-04-27 10:44:58	ga_ls7e_ard_3-2-0_112082_2021-04-27_final
2021-05-10 10:13:47	ga_ls7e_ard_3-2-0_107084_2021-05-10_final
2021-05-13 09:01:10	ga_ls7e_ard_3-2-0_096073_2021-05-12_final
2021-05-17 08:41:17	ga_ls7e_ard_3-2-0_092086_2021-05-16_final
2021-05-24 10:24:09	ga_ls7e_ard_3-2-0_109082_2021-05-24_final
2021-05-26 08:33:09	ga_ls7e_ard_3-2-0_091083_2021-05-25_final
2021-05-27 09:10:20	ga_ls7e_ard_3-2-0_098068_2021-05-26_final
2021-05-31 08:52:27	ga_ls7e_ard_3-2-0_094086_2021-05-30_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-02 08:48:37	ga_ls7e_ard_3-2-0_094083_2021-07-01_final
2021-07-02 10:27:06	ga_ls7e_ard_3-2-0_110082_2021-07-02_final
2021-07-03 09:31:48	ga_ls7e_ard_3-2-0_101083_2021-07-03_final
2021-07-08 09:48:43	ga_ls7e_ard_3-2-0_104080_2021-07-08_final
2021-07-14 09:10:19	ga_ls7e_ard_3-2-0_098078_2021-07-13_final
2021-07-20 10:12:00	ga_ls7e_ard_3-2-0_108079_2021-07-20_final
2021-08-06 10:52:11	ga_ls7e_ard_3-2-0_115075_2021-08-06_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-18 09:39:20	ga_ls7e_ard_3-2-0_103081_2021-08-18_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-08-22 09:14:17	ga_ls7e_ard_3-2-0_099081_2021-08-21_final
2021-08-30 08:26:57	ga_ls7e_ard_3-2-0_091088_2021-08-29_final
2021-09-09 10:36:27	ga_ls7e_ard_3-2-0_113074_2021-09-09_final
2021-09-11 08:49:25	ga_ls7e_ard_3-2-0_095085_2021-09-10_final
2021-09-14 09:19:16	ga_ls7e_ard_3-2-0_100083_2021-09-13_final
2021-09-15 08:24:45	ga_ls7e_ard_3-2-0_091086_2021-09-14_final
2021-09-18 08:55:23	ga_ls7e_ard_3-2-0_096086_2021-09-17_final
2021-10-02 09:00:30	ga_ls7e_ard_3-2-0_098071_2021-10-01_final
2021-10-03 08:09:11	ga_ls7e_ard_3-2-0_089082_2021-10-02_final
2021-10-07 09:18:36	ga_ls7e_ard_3-2-0_101071_2021-10-06_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-13 10:20:16	ga_ls7e_ard_3-2-0_111072_2021-10-13_final
2021-10-18 09:01:53	ga_ls7e_ard_3-2-0_098078_2021-10-17_final
2021-10-20 08:52:32	ga_ls7e_ard_3-2-0_096086_2021-10-19_final
2021-10-20 10:29:25	ga_ls7e_ard_3-2-0_112081_2021-10-20_final
2021-10-25 09:06:38	ga_ls7e_ard_3-2-0_099076_2021-10-24_final
2021-10-26 09:52:11	ga_ls7e_ard_3-2-0_106082_2021-10-26_final
2021-11-17 09:11:01	ga_ls7e_ard_3-2-1_100077_2021-11-16_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-12-07 10:22:29	ga_ls7e_ard_3-2-1_112075_2021-12-07_final
2021-12-11 09:56:59	ga_ls7e_ard_3-2-1_108074_2021-12-11_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2022-01-07 09:38:58	ga_ls7e_ard_3-2-1_105082_2022-01-07_final
2022-01-13 10:38:37	ga_ls7e_ard_3-2-1_115078_2022-01-13_final
2022-01-14 08:06:25	ga_ls7e_ard_3-2-1_090084_2022-01-13_final
2022-01-22 10:32:22	ga_ls7e_ard_3-2-1_114080_2022-01-22_final
2022-02-05 09:00:53	ga_ls7e_ard_3-2-1_100071_2022-02-04_final
2022-02-11 08:24:22	ga_ls7e_ard_3-2-1_094074_2022-02-10_final
2022-02-22 08:05:57	ga_ls7e_ard_3-2-1_091077_2022-02-21_final
2022-03-01 09:51:32	ga_ls7e_ard_3-2-1_108080_2022-03-01_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-17 08:09:03	ga_ls7e_ard_3-2-1_092075_2022-03-16_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-03-31 09:57:46	ga_ls7e_ard_3-2-1_110072_2022-03-31_final
2022-04-02 08:07:56	ga_ls7e_ard_3-2-1_092076_2022-04-01_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_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