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
2006-01-21 09:41:55	ga_ls7e_ard_3-0-0_095086_2006-01-21_final
2006-04-11 09:42:25	ga_ls7e_ard_3-0-0_095087_2006-04-11_final
2006-06-14 09:42:24	ga_ls7e_ard_3-0-0_095087_2006-06-14_final
2008-10-25 09:40:50	ga_ls7e_ard_3-0-0_095086_2008-10-25_final
2009-05-21 09:42:26	ga_ls7e_ard_3-0-0_095086_2009-05-21_final
2010-02-17 09:43:55	ga_ls7e_ard_3-0-0_095086_2010-02-17_final
2013-01-24 09:48:35	ga_ls7e_ard_3-0-0_095087_2013-01-24_final
2013-02-09 09:48:12	ga_ls7e_ard_3-0-0_095086_2013-02-09_final
2014-06-20 09:49:00	ga_ls7e_ard_3-0-0_095085_2014-06-20_final
2014-12-13 09:50:50	ga_ls7e_ard_3-0-0_095087_2014-12-13_final
2016-07-27 09:54:12	ga_ls7e_ard_3-0-0_095085_2016-07-27_final
2021-02-08 10:36:04	ga_ls7e_ard_3-2-0_110075_2021-02-08_final
2021-02-11 11:08:20	ga_ls7e_ard_3-2-0_115079_2021-02-11_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-03-03 09:01:13	ga_ls7e_ard_3-2-0_095074_2021-03-02_final
2021-03-03 10:37:18	ga_ls7e_ard_3-2-0_111067_2021-03-03_final
2021-03-07 08:39:22	ga_ls7e_ard_3-2-0_091082_2021-03-06_final
2021-03-10 09:10:50	ga_ls7e_ard_3-2-0_096084_2021-03-09_final
2021-03-10 10:49:43	ga_ls7e_ard_3-2-0_112084_2021-03-10_final
2021-03-11 09:48:26	ga_ls7e_ard_3-2-0_103070_2021-03-11_final
2021-03-12 08:59:07	ga_ls7e_ard_3-2-0_094086_2021-03-11_final
2021-04-08 08:37:59	ga_ls7e_ard_3-2-0_091085_2021-04-07_final
2021-04-13 10:33:47	ga_ls7e_ard_3-2-0_110082_2021-04-13_final
2021-04-14 09:38:05	ga_ls7e_ard_3-2-0_101082_2021-04-14_final
2021-04-18 09:08:15	ga_ls7e_ard_3-2-0_097070_2021-04-17_final
2021-04-24 08:34:39	ga_ls7e_ard_3-2-0_091080_2021-04-23_final
2021-04-24 10:13:55	ga_ls7e_ard_3-2-0_107081_2021-04-24_final
2021-04-25 09:15:01	ga_ls7e_ard_3-2-0_098073_2021-04-24_final
2021-04-29 08:55:09	ga_ls7e_ard_3-2-0_094086_2021-04-28_final
2021-05-01 10:20:18	ga_ls7e_ard_3-2-0_108083_2021-05-01_final
2021-05-06 08:55:34	ga_ls7e_ard_3-2-0_095073_2021-05-05_final
2021-05-08 10:22:19	ga_ls7e_ard_3-2-0_109074_2021-05-08_final
2021-05-17 10:18:58	ga_ls7e_ard_3-2-0_108083_2021-05-17_final
2021-05-22 10:35:53	ga_ls7e_ard_3-2-0_111080_2021-05-22_final
2021-05-22 10:36:17	ga_ls7e_ard_3-2-0_111081_2021-05-22_final
2021-05-26 10:12:25	ga_ls7e_ard_3-2-0_107084_2021-05-26_final
2021-06-01 09:33:37	ga_ls7e_ard_3-2-0_101081_2021-06-01_final
2021-06-08 09:34:51	ga_ls7e_ard_3-2-0_102070_2021-06-08_final
2021-06-12 09:09:48	ga_ls7e_ard_3-2-0_098070_2021-06-11_final
2021-06-16 10:24:50	ga_ls7e_ard_3-2-0_110073_2021-06-16_final
2021-06-20 10:00:11	ga_ls7e_ard_3-2-0_106074_2021-06-20_final
2021-06-27 10:04:35	ga_ls7e_ard_3-2-0_107071_2021-06-27_final
2021-07-04 08:36:05	ga_ls7e_ard_3-2-0_092083_2021-07-03_final
2021-07-04 10:10:59	ga_ls7e_ard_3-2-0_108073_2021-07-04_final
2021-07-18 08:43:16	ga_ls7e_ard_3-2-0_094073_2021-07-17_final
2021-07-18 08:48:27	ga_ls7e_ard_3-2-0_094086_2021-07-17_final
2021-07-22 09:56:17	ga_ls7e_ard_3-2-0_106071_2021-07-22_final
2021-07-27 10:17:11	ga_ls7e_ard_3-2-0_109078_2021-07-27_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-15 10:45:12	ga_ls7e_ard_3-2-0_114075_2021-08-15_final
2021-08-16 08:12:36	ga_ls7e_ard_3-2-0_089080_2021-08-15_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_final
2021-08-28 10:11:11	ga_ls7e_ard_3-2-0_109070_2021-08-28_final
2021-08-29 09:20:16	ga_ls7e_ard_3-2-0_100082_2021-08-28_final
2021-09-02 10:33:40	ga_ls7e_ard_3-2-0_112081_2021-09-02_final
2021-09-04 08:43:28	ga_ls7e_ard_3-2-0_094084_2021-09-03_final
2021-09-05 09:22:38	ga_ls7e_ard_3-2-0_101074_2021-09-04_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-13 10:15:22	ga_ls7e_ard_3-2-0_109084_2021-09-13_final
2021-09-14 09:14:52	ga_ls7e_ard_3-2-0_100072_2021-09-13_final
2021-09-14 09:16:28	ga_ls7e_ard_3-2-0_100076_2021-09-13_final
2021-09-15 08:22:21	ga_ls7e_ard_3-2-0_091080_2021-09-14_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-24 09:50:39	ga_ls7e_ard_3-2-0_106071_2021-09-24_final
2021-09-27 10:21:41	ga_ls7e_ard_3-2-0_111072_2021-09-27_final
2021-10-07 09:23:00	ga_ls7e_ard_3-2-0_101082_2021-10-06_final
2021-10-14 09:28:09	ga_ls7e_ard_3-2-0_102081_2021-10-13_final
2021-10-24 10:00:21	ga_ls7e_ard_3-2-0_108071_2021-10-24_final
2021-10-26 09:47:48	ga_ls7e_ard_3-2-0_106071_2021-10-26_final
2021-10-29 08:40:21	ga_ls7e_ard_3-2-0_095073_2021-10-28_final
2021-11-07 08:33:43	ga_ls7e_ard_3-2-0_094074_2021-11-06_final
2021-11-08 09:18:04	ga_ls7e_ard_3-2-0_101077_2021-11-07_final
2021-11-11 08:13:00	ga_ls7e_ard_3-2-0_090085_2021-11-10_final
2021-11-13 09:33:20	ga_ls7e_ard_3-2-1_104070_2021-11-13_final
2021-11-14 08:42:24	ga_ls7e_ard_3-2-1_095082_2021-11-13_final
2021-11-14 10:22:05	ga_ls7e_ard_3-2-1_111084_2021-11-14_final
2021-11-16 08:28:15	ga_ls7e_ard_3-2-1_093078_2021-11-15_final
2021-11-17 09:13:49	ga_ls7e_ard_3-2-1_100084_2021-11-16_final
2021-11-19 08:55:40	ga_ls7e_ard_3-2-1_098070_2021-11-18_final
2021-11-19 08:59:39	ga_ls7e_ard_3-2-1_098080_2021-11-18_final
2021-11-28 08:49:02	ga_ls7e_ard_3-2-1_097071_2021-11-27_final
2021-12-02 10:03:37	ga_ls7e_ard_3-2-1_109073_2021-12-02_final
2021-12-09 10:12:19	ga_ls7e_ard_3-2-1_110081_2021-12-09_final
2021-12-10 09:15:25	ga_ls7e_ard_3-2-1_101078_2021-12-09_final
2021-12-11 08:22:06	ga_ls7e_ard_3-2-1_092084_2021-12-10_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2021-12-21 08:56:37	ga_ls7e_ard_3-2-1_098080_2021-12-20_final
2021-12-30 08:45:33	ga_ls7e_ard_3-2-1_097070_2021-12-29_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-19 08:20:54	ga_ls7e_ard_3-2-1_093075_2022-01-18_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-01-24 08:37:45	ga_ls7e_ard_3-2-1_096072_2022-01-23_final
2022-02-02 08:32:17	ga_ls7e_ard_3-2-1_095076_2022-02-01_final
2022-02-11 10:03:39	ga_ls7e_ard_3-2-1_110075_2022-02-11_final
2022-03-09 08:58:07	ga_ls7e_ard_3-2-1_100072_2022-03-08_final
2022-03-11 10:27:37	ga_ls7e_ard_3-2-1_114080_2022-03-11_final
2022-03-17 09:47:32	ga_ls7e_ard_3-2-1_108074_2022-03-17_final
2022-03-20 10:20:32	ga_ls7e_ard_3-2-1_113080_2022-03-20_final
2022-03-27 08:45:59	ga_ls7e_ard_3-2-1_098077_2022-03-26_final
2022-03-27 08:46:47	ga_ls7e_ard_3-2-1_098079_2022-03-26_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