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
1999-12-04 09:43:38	ga_ls7e_ard_3-0-0_095083_1999-12-04_final
2003-02-14 09:39:28	ga_ls7e_ard_3-0-0_095083_2003-02-14_final
2003-04-19 09:39:08	ga_ls7e_ard_3-0-0_095082_2003-04-19_final
2003-11-13 09:40:32	ga_ls7e_ard_3-0-0_095086_2003-11-13_final
2005-03-23 09:40:53	ga_ls7e_ard_3-0-0_095084_2005-03-23_final
2005-12-04 09:40:47	ga_ls7e_ard_3-0-0_095084_2005-12-04_final
2006-03-26 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-26_final
2009-08-25 09:41:22	ga_ls7e_ard_3-0-0_095084_2009-08-25_final
2011-12-21 09:44:41	ga_ls7e_ard_3-0-0_095083_2011-12-21_final
2011-12-21 09:45:05	ga_ls7e_ard_3-0-0_095084_2011-12-21_final
2012-04-11 09:44:02	ga_ls7e_ard_3-0-0_095081_2012-04-11_final
2012-11-21 09:45:35	ga_ls7e_ard_3-0-0_095080_2012-11-21_final
2013-06-17 09:45:15	ga_ls7e_ard_3-0-0_095080_2013-06-17_final
2016-04-22 09:51:55	ga_ls7e_ard_3-0-0_095080_2016-04-22_final
2016-07-11 09:52:09	ga_ls7e_ard_3-0-0_095080_2016-07-11_final
2016-07-27 09:52:12	ga_ls7e_ard_3-0-0_095080_2016-07-27_final
2016-10-15 09:52:44	ga_ls7e_ard_3-0-0_095081_2016-10-15_final
2016-11-16 09:53:43	ga_ls7e_ard_3-0-0_095084_2016-11-16_final
2017-01-03 09:52:16	ga_ls7e_ard_3-0-0_095081_2017-01-03_final
2018-02-23 09:52:38	ga_ls7e_ard_3-0-0_095084_2018-02-23_final
2020-05-03 09:24:15	ga_ls7e_ard_3-1-0_095081_2020-05-02_final
2021-01-30 10:44:54	ga_ls7e_ard_3-2-0_111080_2021-01-30_final
2021-02-08 08:57:35	ga_ls7e_ard_3-2-0_094076_2021-02-07_final
2021-02-08 09:00:46	ga_ls7e_ard_3-2-0_094084_2021-02-07_final
2021-02-21 10:04:59	ga_ls7e_ard_3-2-0_105077_2021-02-21_final
2021-02-26 08:45:27	ga_ls7e_ard_3-2-0_092080_2021-02-25_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-02-28 08:33:44	ga_ls7e_ard_3-2-0_090082_2021-02-27_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-13 09:36:43	ga_ls7e_ard_3-2-0_101072_2021-03-13_final
2021-03-16 10:09:22	ga_ls7e_ard_3-2-0_106077_2021-03-16_final
2021-03-17 09:14:28	ga_ls7e_ard_3-2-0_097079_2021-03-16_final
2021-03-19 09:04:20	ga_ls7e_ard_3-2-0_095085_2021-03-18_final
2021-03-23 10:16:35	ga_ls7e_ard_3-2-0_107081_2021-03-23_final
2021-03-26 09:03:58	ga_ls7e_ard_3-2-0_096070_2021-03-25_final
2021-03-28 08:54:14	ga_ls7e_ard_3-2-0_094077_2021-03-27_final
2021-04-04 10:40:43	ga_ls7e_ard_3-2-0_111082_2021-04-04_final
2021-04-18 09:10:14	ga_ls7e_ard_3-2-0_097075_2021-04-17_final
2021-05-04 09:08:05	ga_ls7e_ard_3-2-0_097073_2021-05-03_final
2021-05-05 09:50:28	ga_ls7e_ard_3-2-0_104071_2021-05-05_final
2021-05-23 09:37:47	ga_ls7e_ard_3-2-0_102074_2021-05-23_final
2021-05-31 08:48:03	ga_ls7e_ard_3-2-0_094075_2021-05-30_final
2021-06-02 08:36:19	ga_ls7e_ard_3-2-0_092077_2021-06-01_final
2021-06-09 10:19:13	ga_ls7e_ard_3-2-0_109073_2021-06-09_final
2021-06-11 10:07:30	ga_ls7e_ard_3-2-0_107075_2021-06-11_final
2021-06-21 10:44:57	ga_ls7e_ard_3-2-0_113078_2021-06-21_final
2021-06-21 10:45:21	ga_ls7e_ard_3-2-0_113079_2021-06-21_final
2021-06-23 08:51:57	ga_ls7e_ard_3-2-0_095074_2021-06-22_final
2021-06-27 10:06:11	ga_ls7e_ard_3-2-0_107075_2021-06-27_final
2021-07-02 08:46:37	ga_ls7e_ard_3-2-0_094078_2021-07-01_final
2021-07-02 08:47:01	ga_ls7e_ard_3-2-0_094079_2021-07-01_final
2021-07-16 10:36:16	ga_ls7e_ard_3-2-0_112077_2021-07-16_final
2021-07-19 09:26:02	ga_ls7e_ard_3-2-0_101072_2021-07-18_final
2021-07-21 09:13:54	ga_ls7e_ard_3-2-0_099073_2021-07-20_final
2021-07-26 09:33:36	ga_ls7e_ard_3-2-0_102077_2021-07-26_final
2021-08-07 08:20:23	ga_ls7e_ard_3-2-0_090082_2021-08-06_final
2021-08-12 08:37:41	ga_ls7e_ard_3-2-0_093080_2021-08-11_final
2021-08-16 09:50:41	ga_ls7e_ard_3-2-0_105078_2021-08-16_final
2021-08-24 10:39:02	ga_ls7e_ard_3-2-0_113077_2021-08-24_final
2021-08-28 08:34:42	ga_ls7e_ard_3-2-0_093076_2021-08-27_final
2021-08-28 10:16:46	ga_ls7e_ard_3-2-0_109084_2021-08-28_final
2021-08-29 09:16:40	ga_ls7e_ard_3-2-0_100073_2021-08-28_final
2021-08-30 09:59:51	ga_ls7e_ard_3-2-0_107073_2021-08-30_final
2021-08-30 10:01:50	ga_ls7e_ard_3-2-0_107078_2021-08-30_final
2021-08-31 09:08:56	ga_ls7e_ard_3-2-0_098085_2021-08-30_final
2021-09-02 08:54:48	ga_ls7e_ard_3-2-0_096081_2021-09-01_final
2021-09-10 09:39:09	ga_ls7e_ard_3-2-0_104070_2021-09-10_final
2021-09-11 10:26:18	ga_ls7e_ard_3-2-0_111080_2021-09-11_final
2021-09-16 09:06:19	ga_ls7e_ard_3-2-0_098082_2021-09-15_final
2021-09-18 10:32:16	ga_ls7e_ard_3-2-0_112081_2021-09-18_final
2021-09-22 08:28:42	ga_ls7e_ard_3-2-0_092082_2021-09-21_final
2021-10-06 10:18:18	ga_ls7e_ard_3-2-0_110081_2021-10-06_final
2021-10-17 09:55:12	ga_ls7e_ard_3-2-0_107072_2021-10-17_final
2021-10-18 09:01:05	ga_ls7e_ard_3-2-0_098076_2021-10-17_final
2021-10-19 09:44:39	ga_ls7e_ard_3-2-0_105077_2021-10-19_final
2021-10-22 10:16:29	ga_ls7e_ard_3-2-0_110080_2021-10-22_final
2021-11-01 09:12:10	ga_ls7e_ard_3-2-0_100076_2021-10-31_final
2021-11-04 09:44:22	ga_ls7e_ard_3-2-0_105080_2021-11-04_final
2021-11-16 10:08:44	ga_ls7e_ard_3-2-1_109082_2021-11-16_final
2021-11-19 08:57:40	ga_ls7e_ard_3-2-1_098075_2021-11-18_final
2021-12-05 08:55:21	ga_ls7e_ard_3-2-1_098073_2021-12-04_final
2021-12-14 10:29:11	ga_ls7e_ard_3-2-1_113078_2021-12-14_final
2021-12-16 08:36:58	ga_ls7e_ard_3-2-1_095076_2021-12-15_final
2021-12-23 08:43:39	ga_ls7e_ard_3-2-1_096079_2021-12-22_final
2021-12-25 08:33:53	ga_ls7e_ard_3-2-1_094086_2021-12-24_final
2022-01-04 09:07:33	ga_ls7e_ard_3-2-1_100080_2022-01-03_final
2022-01-08 08:42:52	ga_ls7e_ard_3-2-1_096081_2022-01-07_final
2022-01-15 08:46:23	ga_ls7e_ard_3-2-1_097076_2022-01-14_final
2022-01-21 08:11:08	ga_ls7e_ard_3-2-1_091082_2022-01-20_final
2022-01-27 09:11:09	ga_ls7e_ard_3-2-1_101079_2022-01-26_final
2022-01-29 08:57:00	ga_ls7e_ard_3-2-1_099075_2022-01-28_final
2022-02-09 10:18:37	ga_ls7e_ard_3-2-1_112081_2022-02-09_final
2022-02-18 08:31:26	ga_ls7e_ard_3-2-1_095078_2022-02-17_final
2022-02-20 09:57:22	ga_ls7e_ard_3-2-1_109077_2022-02-20_final
2022-03-02 08:53:49	ga_ls7e_ard_3-2-1_099075_2022-03-01_final
2022-03-09 08:58:30	ga_ls7e_ard_3-2-1_100073_2022-03-08_final
2022-03-20 08:42:27	ga_ls7e_ard_3-2-1_097082_2022-03-19_final
2022-03-21 09:24:02	ga_ls7e_ard_3-2-1_104078_2022-03-20_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-30 09:16:36	ga_ls7e_ard_3-2-1_103077_2022-03-29_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