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
2000-03-21 11:45:00	ga_ls7e_ard_3-0-0_115078_2000-03-21_final
2001-12-05 11:40:28	ga_ls7e_ard_3-1-0_115077_2001-12-05_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2003-09-22 11:40:36	ga_ls7e_ard_3-0-0_115078_2003-09-22_final
2004-11-11 11:40:56	ga_ls7e_ard_3-1-0_115077_2004-11-11_final
2005-10-29 11:41:19	ga_ls7e_ard_3-1-0_115077_2005-10-29_final
2006-03-22 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-22_final
2006-10-16 11:41:30	ga_ls7e_ard_3-1-0_115077_2006-10-16_final
2010-09-25 11:43:05	ga_ls7e_ard_3-0-0_115074_2010-09-25_final
2012-01-02 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-02_final
2012-01-02 11:46:49	ga_ls7e_ard_3-0-0_115079_2012-01-02_final
2013-06-13 11:46:29	ga_ls7e_ard_3-0-0_115074_2013-06-13_final
2013-12-22 11:49:10	ga_ls7e_ard_3-0-0_115079_2013-12-22_final
2015-04-16 11:51:37	ga_ls7e_ard_3-0-0_115078_2015-04-16_final
2016-09-09 11:54:19	ga_ls7e_ard_3-0-0_115076_2016-09-09_final
2019-08-26 11:34:10	ga_ls7e_ard_3-1-0_114081_2019-08-26_final
2020-11-25 11:03:14	ga_ls7e_ard_3-1-0_113083_2020-11-25_final
2020-12-09 09:36:05	ga_ls7e_ard_3-1-0_099084_2020-12-09_final
2020-12-11 09:23:34	ga_ls7e_ard_3-1-0_097084_2020-12-10_final
2020-12-11 11:01:39	ga_ls7e_ard_3-1-0_113082_2020-12-11_final
2020-12-13 09:09:28	ga_ls7e_ard_3-1-0_095080_2020-12-12_final
2020-12-15 10:34:38	ga_ls7e_ard_3-1-0_109077_2020-12-15_final
2020-12-23 09:45:23	ga_ls7e_ard_3-1-0_101079_2020-12-23_final
2020-12-27 11:01:16	ga_ls7e_ard_3-1-0_113084_2020-12-27_final
2021-01-03 11:03:22	ga_ls7e_ard_3-1-0_114075_2021-01-03_final
2021-01-06 09:53:11	ga_ls7e_ard_3-1-0_103070_2021-01-06_final
2021-01-08 09:45:29	ga_ls7e_ard_3-1-0_101082_2021-01-08_final
2021-01-12 09:21:40	ga_ls7e_ard_3-1-0_097085_2021-01-11_final
2021-01-14 10:41:16	ga_ls7e_ard_3-1-0_111068_2021-01-14_final
2021-01-14 10:42:28	ga_ls7e_ard_3-1-0_111071_2021-01-14_final
2021-01-14 10:43:16	ga_ls7e_ard_3-1-0_111073_2021-01-14_final
2021-01-17 09:36:16	ga_ls7e_ard_3-1-0_100076_2021-01-17_final
2021-01-18 10:17:28	ga_ls7e_ard_3-1-0_107071_2021-01-18_final
2021-02-04 11:03:04	ga_ls7e_ard_3-2-0_114080_2021-02-04_final
2021-02-07 09:55:16	ga_ls7e_ard_3-2-0_103081_2021-02-07_final
2021-02-13 09:17:45	ga_ls7e_ard_3-2-0_097081_2021-02-12_final
2021-02-17 10:28:48	ga_ls7e_ard_3-2-0_109074_2021-02-17_final
2021-02-18 09:34:19	ga_ls7e_ard_3-2-0_100077_2021-02-18_final
2021-02-22 10:47:46	ga_ls7e_ard_3-2-0_112076_2021-02-22_final
2021-02-24 10:32:51	ga_ls7e_ard_3-2-0_110070_2021-02-24_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-12 10:30:25	ga_ls7e_ard_3-2-0_110067_2021-03-12_final
2021-03-21 10:25:07	ga_ls7e_ard_3-2-0_109071_2021-03-21_final
2021-03-25 10:01:40	ga_ls7e_ard_3-2-0_105075_2021-03-25_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-04-13 10:31:48	ga_ls7e_ard_3-2-0_110077_2021-04-13_final
2021-04-27 09:02:06	ga_ls7e_ard_3-2-0_096072_2021-04-26_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-05-05 09:51:16	ga_ls7e_ard_3-2-0_104073_2021-05-05_final
2021-06-05 09:10:10	ga_ls7e_ard_3-2-0_097085_2021-06-04_final
2021-06-13 09:56:58	ga_ls7e_ard_3-2-0_105080_2021-06-13_final
2021-06-16 10:23:38	ga_ls7e_ard_3-2-0_110070_2021-06-16_final
2021-06-21 09:07:16	ga_ls7e_ard_3-2-0_097081_2021-06-20_final
2021-06-30 08:59:09	ga_ls7e_ard_3-2-0_096078_2021-06-29_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-12 09:22:27	ga_ls7e_ard_3-2-0_100077_2021-07-11_final
2021-07-14 09:06:20	ga_ls7e_ard_3-2-0_098068_2021-07-13_final
2021-07-15 08:14:37	ga_ls7e_ard_3-2-0_089078_2021-07-14_final
2021-07-25 10:28:07	ga_ls7e_ard_3-2-0_111074_2021-07-25_final
2021-07-27 08:41:06	ga_ls7e_ard_3-2-0_093085_2021-07-26_final
2021-08-06 09:16:06	ga_ls7e_ard_3-2-0_099082_2021-08-05_final
2021-08-08 09:04:21	ga_ls7e_ard_3-2-0_097084_2021-08-07_final
2021-08-10 10:27:54	ga_ls7e_ard_3-2-0_111077_2021-08-10_final
2021-08-27 09:29:12	ga_ls7e_ard_3-2-0_102073_2021-08-26_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-09-06 08:32:31	ga_ls7e_ard_3-2-0_092088_2021-09-05_final
2021-09-15 09:59:14	ga_ls7e_ard_3-2-0_107075_2021-09-15_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-10 09:51:14	ga_ls7e_ard_3-2-0_106076_2021-10-10_final
2021-10-22 08:38:00	ga_ls7e_ard_3-2-0_094081_2021-10-21_final
2021-10-22 10:15:17	ga_ls7e_ard_3-2-0_110077_2021-10-22_final
2021-10-26 09:47:24	ga_ls7e_ard_3-2-0_106070_2021-10-26_final
2021-10-26 09:52:35	ga_ls7e_ard_3-2-0_106083_2021-10-26_final
2021-11-04 09:42:23	ga_ls7e_ard_3-2-0_105075_2021-11-04_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-11-16 10:05:32	ga_ls7e_ard_3-2-1_109074_2021-11-16_final
2021-11-23 08:31:45	ga_ls7e_ard_3-2-1_094073_2021-11-22_final
2021-11-26 09:03:10	ga_ls7e_ard_3-2-1_099075_2021-11-25_final
2021-11-26 09:05:10	ga_ls7e_ard_3-2-1_099080_2021-11-25_final
2021-11-28 10:29:54	ga_ls7e_ard_3-2-1_113076_2021-11-28_final
2021-12-05 10:35:26	ga_ls7e_ard_3-2-1_114076_2021-12-05_final
2021-12-08 09:25:10	ga_ls7e_ard_3-2-1_103071_2021-12-07_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-13 09:48:01	ga_ls7e_ard_3-2-1_106083_2021-12-13_final
2021-12-16 10:15:26	ga_ls7e_ard_3-2-1_111075_2021-12-16_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-05 08:15:50	ga_ls7e_ard_3-2-1_091090_2022-01-04_final
2022-01-14 08:08:49	ga_ls7e_ard_3-2-1_090090_2022-01-13_final
2022-01-14 09:42:06	ga_ls7e_ard_3-2-1_106076_2022-01-14_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-02-11 10:07:14	ga_ls7e_ard_3-2-1_110084_2022-02-11_final
2022-02-15 09:38:30	ga_ls7e_ard_3-2-1_106075_2022-02-15_final
2022-02-18 10:09:07	ga_ls7e_ard_3-2-1_111075_2022-02-18_final
2022-02-21 09:01:15	ga_ls7e_ard_3-2-1_100076_2022-02-20_final
2022-03-02 10:33:06	ga_ls7e_ard_3-2-1_115076_2022-03-02_final
2022-03-03 09:40:10	ga_ls7e_ard_3-2-1_106083_2022-03-03_final
2022-03-10 08:06:47	ga_ls7e_ard_3-2-1_091083_2022-03-09_final
2022-03-15 08:20:49	ga_ls7e_ard_3-2-1_094073_2022-03-14_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years