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
2001-03-12 09:37:07	ga_ls7e_ard_3-1-0_095073_2001-03-12_final
2003-10-28 09:38:00	ga_ls7e_ard_3-0-0_095080_2003-10-28_final
2003-10-28 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-10-28_final
2003-12-31 09:35:42	ga_ls7e_ard_3-1-0_095073_2003-12-31_final
2005-01-02 09:39:21	ga_ls7e_ard_3-0-0_095081_2005-01-02_final
2005-01-18 09:41:48	ga_ls7e_ard_3-0-0_095087_2005-01-18_final
2006-03-10 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-10_final
2006-12-07 09:41:43	ga_ls7e_ard_3-0-0_095085_2006-12-07_final
2008-05-18 09:41:10	ga_ls7e_ard_3-0-0_095084_2008-05-18_final
2010-12-18 09:40:14	ga_ls7e_ard_3-0-0_095074_2010-12-18_final
2011-07-14 09:43:55	ga_ls7e_ard_3-0-0_095082_2011-07-14_final
2012-11-21 09:48:22	ga_ls7e_ard_3-0-0_095087_2012-11-21_final
2013-01-08 09:48:33	ga_ls7e_ard_3-0-0_095087_2013-01-08_final
2013-08-20 09:47:44	ga_ls7e_ard_3-0-0_095087_2013-08-20_final
2015-08-26 09:51:02	ga_ls7e_ard_3-0-0_095084_2015-08-26_final
2015-09-27 09:46:46	ga_ls7e_ard_3-1-0_095073_2015-09-27_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2019-04-15 09:43:53	ga_ls7e_ard_3-0-0_095086_2019-04-15_final
2020-07-06 09:17:14	ga_ls7e_ard_3-1-0_095073_2020-07-05_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-19 08:42:36	ga_ls7e_ard_3-2-0_091087_2021-02-18_final
2021-02-23 09:54:04	ga_ls7e_ard_3-2-0_103081_2021-02-23_final
2021-03-14 08:47:48	ga_ls7e_ard_3-2-0_092089_2021-03-13_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-04-29 10:29:38	ga_ls7e_ard_3-2-0_110075_2021-04-29_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-05-20 10:43:14	ga_ls7e_ard_3-2-0_113067_2021-05-20_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-26 08:33:33	ga_ls7e_ard_3-2-0_091084_2021-05-25_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-06-20 08:22:30	ga_ls7e_ard_3-2-0_090077_2021-06-19_final
2021-06-20 08:25:18	ga_ls7e_ard_3-2-0_090084_2021-06-19_final
2021-06-22 09:47:16	ga_ls7e_ard_3-2-0_104073_2021-06-22_final
2021-06-23 08:51:33	ga_ls7e_ard_3-2-0_095073_2021-06-22_final
2021-06-28 09:08:53	ga_ls7e_ard_3-2-0_098071_2021-06-27_final
2021-06-29 08:15:58	ga_ls7e_ard_3-2-0_089078_2021-06-28_final
2021-07-03 09:31:48	ga_ls7e_ard_3-2-0_101083_2021-07-03_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-13 10:06:50	ga_ls7e_ard_3-2-0_107080_2021-07-13_final
2021-07-16 10:38:40	ga_ls7e_ard_3-2-0_112083_2021-07-16_final
2021-07-18 10:21:45	ga_ls7e_ard_3-2-0_110072_2021-07-18_final
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_final
2021-07-30 09:08:56	ga_ls7e_ard_3-2-0_098078_2021-07-29_final
2021-07-31 08:13:38	ga_ls7e_ard_3-2-0_089079_2021-07-30_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-17 08:56:58	ga_ls7e_ard_3-2-0_096083_2021-08-16_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-21 10:06:00	ga_ls7e_ard_3-2-0_108071_2021-08-21_final
2021-08-21 10:07:12	ga_ls7e_ard_3-2-0_108074_2021-08-21_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-08-28 10:13:10	ga_ls7e_ard_3-2-0_109075_2021-08-28_final
2021-09-07 09:08:31	ga_ls7e_ard_3-2-0_099070_2021-09-06_final
2021-09-12 09:25:49	ga_ls7e_ard_3-2-0_102068_2021-09-11_final
2021-09-13 08:37:41	ga_ls7e_ard_3-2-0_093087_2021-09-12_final
2021-09-20 08:42:50	ga_ls7e_ard_3-2-0_094086_2021-09-19_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-14 09:23:46	ga_ls7e_ard_3-2-0_102070_2021-10-13_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-10-18 09:01:53	ga_ls7e_ard_3-2-0_098078_2021-10-17_final
2021-10-20 10:26:37	ga_ls7e_ard_3-2-0_112074_2021-10-20_final
2021-11-10 10:43:12	ga_ls7e_ard_3-2-0_115074_2021-11-10_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-11 09:45:53	ga_ls7e_ard_3-2-0_106070_2021-11-11_final
2021-11-18 08:15:18	ga_ls7e_ard_3-2-1_091077_2021-11-17_final
2021-11-19 08:58:52	ga_ls7e_ard_3-2-1_098078_2021-11-18_final
2021-11-20 08:03:09	ga_ls7e_ard_3-2-1_089078_2021-11-19_final
2021-11-21 10:27:11	ga_ls7e_ard_3-2-1_112083_2021-11-21_final
2021-11-23 10:11:25	ga_ls7e_ard_3-2-1_110075_2021-11-23_final
2021-11-28 10:29:06	ga_ls7e_ard_3-2-1_113074_2021-11-28_final
2021-12-09 10:09:56	ga_ls7e_ard_3-2-1_110075_2021-12-09_final
2021-12-13 08:08:45	ga_ls7e_ard_3-2-1_090082_2021-12-12_final
2021-12-14 08:51:31	ga_ls7e_ard_3-2-1_097081_2021-12-13_final
2021-12-22 09:38:11	ga_ls7e_ard_3-2-1_105076_2021-12-22_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2021-12-28 09:02:06	ga_ls7e_ard_3-2-1_099080_2021-12-27_final
2021-12-29 09:42:04	ga_ls7e_ard_3-2-1_106072_2021-12-29_final
2021-12-29 09:44:51	ga_ls7e_ard_3-2-1_106079_2021-12-29_final
2022-01-03 10:00:53	ga_ls7e_ard_3-2-1_109074_2022-01-03_final
2022-01-04 09:05:58	ga_ls7e_ard_3-2-1_100076_2022-01-03_final
2022-01-07 09:36:11	ga_ls7e_ard_3-2-1_105075_2022-01-07_final
2022-01-15 08:44:00	ga_ls7e_ard_3-2-1_097070_2022-01-14_final
2022-02-14 08:52:34	ga_ls7e_ard_3-2-1_099068_2022-02-13_final
2022-02-14 10:35:50	ga_ls7e_ard_3-2-1_115079_2022-02-14_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-11 10:26:01	ga_ls7e_ard_3-2-1_114076_2022-03-11_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-20 10:21:20	ga_ls7e_ard_3-2-1_113082_2022-03-20_final
2022-03-27 08:48:47	ga_ls7e_ard_3-2-1_098084_2022-03-26_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_final
2022-04-01 09:06:27	ga_ls7e_ard_3-2-1_101083_2022-03-31_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