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
2000-05-12 09:44:07	ga_ls7e_ard_3-0-0_095086_2000-05-12_final
2001-12-25 09:39:29	ga_ls7e_ard_3-0-0_095083_2001-12-25_final
2002-02-11 09:39:42	ga_ls7e_ard_3-0-0_095083_2002-02-11_final
2002-02-11 09:40:54	ga_ls7e_ard_3-0-0_095086_2002-02-11_final
2002-08-06 09:38:58	ga_ls7e_ard_3-0-0_095083_2002-08-06_final
2003-01-13 09:39:12	ga_ls7e_ard_3-0-0_095083_2003-01-13_final
2003-04-19 09:40:44	ga_ls7e_ard_3-0-0_095086_2003-04-19_final
2003-11-13 09:39:20	ga_ls7e_ard_3-0-0_095083_2003-11-13_final
2005-06-11 09:40:16	ga_ls7e_ard_3-0-0_095083_2005-06-11_final
2005-06-11 09:41:52	ga_ls7e_ard_3-0-0_095087_2005-06-11_final
2006-04-11 09:42:25	ga_ls7e_ard_3-0-0_095087_2006-04-11_final
2007-08-04 09:41:42	ga_ls7e_ard_3-0-0_095085_2007-08-04_final
2009-09-26 09:41:43	ga_ls7e_ard_3-0-0_095085_2009-09-26_final
2013-02-09 09:47:00	ga_ls7e_ard_3-0-0_095083_2013-02-09_final
2013-11-24 09:47:01	ga_ls7e_ard_3-0-0_095083_2013-11-24_final
2015-04-20 09:49:37	ga_ls7e_ard_3-0-0_095082_2015-04-20_final
2015-06-23 09:50:00	ga_ls7e_ard_3-0-0_095082_2015-06-23_final
2015-10-13 09:50:57	ga_ls7e_ard_3-0-0_095083_2015-10-13_final
2015-11-14 09:51:05	ga_ls7e_ard_3-0-0_095082_2015-11-14_final
2016-04-22 09:52:43	ga_ls7e_ard_3-0-0_095082_2016-04-22_final
2019-08-05 09:39:38	ga_ls7e_ard_3-0-0_095086_2019-08-05_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2020-11-27 09:13:27	ga_ls7e_ard_3-1-0_095087_2020-11-26_final
2021-01-30 09:03:38	ga_ls7e_ard_3-2-0_095074_2021-01-29_final
2021-02-10 08:45:28	ga_ls7e_ard_3-2-0_092077_2021-02-09_final
2021-02-10 08:45:52	ga_ls7e_ard_3-2-0_092078_2021-02-09_final
2021-02-12 08:32:58	ga_ls7e_ard_3-2-0_090077_2021-02-11_final
2021-02-15 10:38:55	ga_ls7e_ard_3-2-0_111068_2021-02-15_final
2021-02-28 08:34:32	ga_ls7e_ard_3-2-0_090084_2021-02-27_final
2021-03-07 08:40:34	ga_ls7e_ard_3-2-0_091085_2021-03-06_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-12 10:33:36	ga_ls7e_ard_3-2-0_110075_2021-03-12_final
2021-03-15 09:23:48	ga_ls7e_ard_3-2-0_099071_2021-03-14_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-03-25 08:23:59	ga_ls7e_ard_3-2-0_089078_2021-03-24_final
2021-04-01 10:05:17	ga_ls7e_ard_3-2-0_106070_2021-04-01_final
2021-04-09 09:18:22	ga_ls7e_ard_3-2-0_098078_2021-04-08_final
2021-04-14 09:38:29	ga_ls7e_ard_3-2-0_101083_2021-04-14_final
2021-04-24 08:36:38	ga_ls7e_ard_3-2-0_091085_2021-04-23_final
2021-04-24 10:10:44	ga_ls7e_ard_3-2-0_107073_2021-04-24_final
2021-04-25 09:17:49	ga_ls7e_ard_3-2-0_098080_2021-04-24_final
2021-05-01 10:19:31	ga_ls7e_ard_3-2-0_108081_2021-05-01_final
2021-05-10 10:12:35	ga_ls7e_ard_3-2-0_107081_2021-05-10_final
2021-05-19 08:27:58	ga_ls7e_ard_3-2-0_090084_2021-05-18_final
2021-05-28 09:54:18	ga_ls7e_ard_3-2-0_105070_2021-05-28_final
2021-06-16 08:46:45	ga_ls7e_ard_3-2-0_094075_2021-06-15_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-07-04 08:32:54	ga_ls7e_ard_3-2-0_092075_2021-07-03_final
2021-07-05 09:17:40	ga_ls7e_ard_3-2-0_099079_2021-07-04_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-07 09:01:33	ga_ls7e_ard_3-2-0_097070_2021-07-06_final
2021-07-18 08:46:27	ga_ls7e_ard_3-2-0_094081_2021-07-17_final
2021-07-22 08:22:59	ga_ls7e_ard_3-2-0_090085_2021-07-21_final
2021-07-26 09:35:36	ga_ls7e_ard_3-2-0_102082_2021-07-26_final
2021-08-04 09:29:02	ga_ls7e_ard_3-2-0_101083_2021-08-03_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-15 10:42:00	ga_ls7e_ard_3-2-0_114067_2021-08-15_final
2021-08-25 09:45:19	ga_ls7e_ard_3-2-0_104082_2021-08-25_final
2021-08-31 09:05:44	ga_ls7e_ard_3-2-0_098077_2021-08-30_final
2021-09-08 08:19:59	ga_ls7e_ard_3-2-0_090088_2021-09-07_final
2021-09-13 10:14:58	ga_ls7e_ard_3-2-0_109083_2021-09-13_final
2021-09-22 08:29:54	ga_ls7e_ard_3-2-0_092085_2021-09-21_final
2021-09-22 10:07:59	ga_ls7e_ard_3-2-0_108083_2021-09-22_final
2021-09-27 10:20:05	ga_ls7e_ard_3-2-0_111068_2021-09-27_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-06 08:41:25	ga_ls7e_ard_3-2-0_094086_2021-10-05_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-15 08:32:27	ga_ls7e_ard_3-2-0_093081_2021-10-14_final
2021-10-27 10:35:21	ga_ls7e_ard_3-2-0_113082_2021-10-27_final
2021-10-30 09:25:54	ga_ls7e_ard_3-2-0_102079_2021-10-29_final
2021-11-03 08:58:49	ga_ls7e_ard_3-2-0_098074_2021-11-02_final
2021-11-11 08:13:00	ga_ls7e_ard_3-2-0_090085_2021-11-10_final
2021-11-12 08:50:58	ga_ls7e_ard_3-2-0_097072_2021-11-11_final
2021-11-19 08:58:52	ga_ls7e_ard_3-2-1_098078_2021-11-18_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-11-27 09:48:44	ga_ls7e_ard_3-2-1_106081_2021-11-27_final
2021-12-13 08:11:32	ga_ls7e_ard_3-2-1_090089_2021-12-12_final
2021-12-17 09:16:56	ga_ls7e_ard_3-2-1_102068_2021-12-16_final
2021-12-20 08:16:15	ga_ls7e_ard_3-2-1_091087_2021-12-19_final
2021-12-21 10:33:30	ga_ls7e_ard_3-2-1_114075_2021-12-21_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-27 08:22:08	ga_ls7e_ard_3-2-1_092088_2021-12-26_final
2022-01-01 08:37:46	ga_ls7e_ard_3-2-1_095082_2021-12-31_final
2022-01-03 09:59:41	ga_ls7e_ard_3-2-1_109071_2022-01-03_final
2022-01-07 09:36:58	ga_ls7e_ard_3-2-1_105077_2022-01-07_final
2022-01-13 08:56:09	ga_ls7e_ard_3-2-1_099069_2022-01-12_final
2022-01-19 08:25:41	ga_ls7e_ard_3-2-1_093087_2022-01-18_final
2022-01-23 07:57:23	ga_ls7e_ard_3-2-1_089079_2022-01-22_final
2022-02-02 10:13:33	ga_ls7e_ard_3-2-1_111082_2022-02-02_final
2022-02-10 09:23:17	ga_ls7e_ard_3-2-1_103082_2022-02-09_final
2022-02-11 10:05:15	ga_ls7e_ard_3-2-1_110079_2022-02-11_final
2022-02-15 09:36:31	ga_ls7e_ard_3-2-1_106070_2022-02-15_final
2022-02-17 09:25:33	ga_ls7e_ard_3-2-1_104074_2022-02-16_final
2022-02-21 09:01:39	ga_ls7e_ard_3-2-1_100077_2022-02-20_final
2022-02-21 09:03:15	ga_ls7e_ard_3-2-1_100081_2022-02-20_final
2022-03-01 09:51:56	ga_ls7e_ard_3-2-1_108081_2022-03-01_final
2022-03-02 08:57:24	ga_ls7e_ard_3-2-1_099084_2022-03-01_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_final
2022-03-25 09:00:56	ga_ls7e_ard_3-2-1_100083_2022-03-24_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