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
1999-12-20 09:44:55	ga_ls7e_ard_3-0-0_095086_1999-12-20_final
2000-05-12 09:43:19	ga_ls7e_ard_3-0-0_095084_2000-05-12_final
2002-02-27 09:40:09	ga_ls7e_ard_3-0-0_095084_2002-02-27_final
2003-04-19 09:40:44	ga_ls7e_ard_3-0-0_095086_2003-04-19_final
2007-05-16 09:41:33	ga_ls7e_ard_3-0-0_095084_2007-05-16_final
2009-01-29 09:40:57	ga_ls7e_ard_3-0-0_095084_2009-01-29_final
2009-07-24 09:41:52	ga_ls7e_ard_3-0-0_095085_2009-07-24_final
2012-04-11 09:45:38	ga_ls7e_ard_3-0-0_095085_2012-04-11_final
2013-07-03 09:45:54	ga_ls7e_ard_3-0-0_095082_2013-07-03_final
2013-09-21 09:46:05	ga_ls7e_ard_3-0-0_095082_2013-09-21_final
2013-11-24 09:47:49	ga_ls7e_ard_3-0-0_095085_2013-11-24_final
2014-01-11 09:48:27	ga_ls7e_ard_3-0-0_095086_2014-01-11_final
2015-01-30 09:48:39	ga_ls7e_ard_3-0-0_095081_2015-01-30_final
2015-10-29 09:51:37	ga_ls7e_ard_3-0-0_095084_2015-10-29_final
2016-08-12 09:52:37	ga_ls7e_ard_3-0-0_095081_2016-08-12_final
2017-02-20 09:52:00	ga_ls7e_ard_3-0-0_095081_2017-02-20_final
2017-08-15 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-08-15_final
2017-10-02 09:52:35	ga_ls7e_ard_3-0-0_095081_2017-10-02_final
2018-01-06 09:53:17	ga_ls7e_ard_3-0-0_095084_2018-01-06_final
2020-08-07 09:20:27	ga_ls7e_ard_3-1-0_095086_2020-08-06_final
2020-11-11 09:12:58	ga_ls7e_ard_3-1-0_095083_2020-11-10_final
2021-02-15 10:42:31	ga_ls7e_ard_3-2-0_111077_2021-02-15_final
2021-02-21 10:05:23	ga_ls7e_ard_3-2-0_105078_2021-02-21_final
2021-02-22 10:47:46	ga_ls7e_ard_3-2-0_112076_2021-02-22_final
2021-02-26 08:47:27	ga_ls7e_ard_3-2-0_092085_2021-02-25_final
2021-03-07 08:37:23	ga_ls7e_ard_3-2-0_091077_2021-03-06_final
2021-03-14 10:23:05	ga_ls7e_ard_3-2-0_108080_2021-03-14_final
2021-03-21 10:27:54	ga_ls7e_ard_3-2-0_109078_2021-03-21_final
2021-03-24 10:59:22	ga_ls7e_ard_3-2-0_114080_2021-03-24_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-04-06 10:26:36	ga_ls7e_ard_3-2-0_109078_2021-04-06_final
2021-04-08 08:35:12	ga_ls7e_ard_3-2-0_091078_2021-04-07_final
2021-04-09 10:58:27	ga_ls7e_ard_3-2-0_114081_2021-04-09_final
2021-04-15 08:43:11	ga_ls7e_ard_3-2-0_092084_2021-04-14_final
2021-04-17 10:08:20	ga_ls7e_ard_3-2-0_106081_2021-04-17_final
2021-05-04 09:07:18	ga_ls7e_ard_3-2-0_097071_2021-05-03_final
2021-05-12 09:55:40	ga_ls7e_ard_3-2-0_105070_2021-05-12_final
2021-05-19 08:26:22	ga_ls7e_ard_3-2-0_090080_2021-05-18_final
2021-06-05 09:04:11	ga_ls7e_ard_3-2-0_097070_2021-06-04_final
2021-06-05 10:45:28	ga_ls7e_ard_3-2-0_113076_2021-06-05_final
2021-06-08 09:36:27	ga_ls7e_ard_3-2-0_102074_2021-06-08_final
2021-06-10 09:23:31	ga_ls7e_ard_3-2-0_100073_2021-06-09_final
2021-06-15 09:40:27	ga_ls7e_ard_3-2-0_103070_2021-06-15_final
2021-06-16 08:47:57	ga_ls7e_ard_3-2-0_094078_2021-06-15_final
2021-06-17 09:32:19	ga_ls7e_ard_3-2-0_101081_2021-06-17_final
2021-06-21 09:02:53	ga_ls7e_ard_3-2-0_097070_2021-06-20_final
2021-06-21 09:06:53	ga_ls7e_ard_3-2-0_097080_2021-06-20_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
2021-07-01 09:38:44	ga_ls7e_ard_3-2-0_103069_2021-07-01_final
2021-07-01 09:41:32	ga_ls7e_ard_3-2-0_103076_2021-07-01_final
2021-07-02 10:26:18	ga_ls7e_ard_3-2-0_110080_2021-07-02_final
2021-07-06 10:00:50	ga_ls7e_ard_3-2-0_106079_2021-07-06_final
2021-07-07 09:06:44	ga_ls7e_ard_3-2-0_097083_2021-07-06_final
2021-07-16 08:59:47	ga_ls7e_ard_3-2-0_096083_2021-07-15_final
2021-07-18 08:44:04	ga_ls7e_ard_3-2-0_094075_2021-07-17_final
2021-07-18 08:46:27	ga_ls7e_ard_3-2-0_094081_2021-07-17_final
2021-07-23 10:41:03	ga_ls7e_ard_3-2-0_113075_2021-07-23_final
2021-07-25 08:52:50	ga_ls7e_ard_3-2-0_095083_2021-07-24_final
2021-07-25 10:30:31	ga_ls7e_ard_3-2-0_111080_2021-07-25_final
2021-08-04 09:24:38	ga_ls7e_ard_3-2-0_101072_2021-08-03_final
2021-08-05 10:07:49	ga_ls7e_ard_3-2-0_108072_2021-08-05_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-22 09:11:05	ga_ls7e_ard_3-2-0_099073_2021-08-21_final
2021-08-23 09:57:51	ga_ls7e_ard_3-2-0_106082_2021-08-23_final
2021-08-28 08:35:30	ga_ls7e_ard_3-2-0_093078_2021-08-27_final
2021-09-02 08:56:24	ga_ls7e_ard_3-2-0_096085_2021-09-01_final
2021-09-04 10:20:44	ga_ls7e_ard_3-2-0_110080_2021-09-04_final
2021-09-09 10:38:51	ga_ls7e_ard_3-2-0_113080_2021-09-09_final
2021-09-11 10:26:18	ga_ls7e_ard_3-2-0_111080_2021-09-11_final
2021-09-25 08:56:56	ga_ls7e_ard_3-2-0_097076_2021-09-24_final
2021-09-26 09:38:07	ga_ls7e_ard_3-2-0_104071_2021-09-26_final
2021-10-20 08:50:08	ga_ls7e_ard_3-2-0_096080_2021-10-19_final
2021-10-20 08:50:56	ga_ls7e_ard_3-2-0_096082_2021-10-19_final
2021-10-22 10:16:29	ga_ls7e_ard_3-2-0_110080_2021-10-22_final
2021-11-02 09:53:44	ga_ls7e_ard_3-2-0_107072_2021-11-02_final
2021-11-14 10:15:42	ga_ls7e_ard_3-2-1_111068_2021-11-14_final
2021-11-21 10:24:23	ga_ls7e_ard_3-2-1_112076_2021-11-21_final
2021-11-22 09:29:04	ga_ls7e_ard_3-2-1_103077_2021-11-21_final
2021-11-23 08:32:33	ga_ls7e_ard_3-2-1_094075_2021-11-22_final
2021-12-01 09:22:26	ga_ls7e_ard_3-2-1_102078_2021-11-30_final
2021-12-13 09:47:37	ga_ls7e_ard_3-2-1_106082_2021-12-13_final
2022-01-04 09:05:10	ga_ls7e_ard_3-2-1_100074_2022-01-03_final
2022-01-04 09:07:10	ga_ls7e_ard_3-2-1_100079_2022-01-03_final
2022-01-05 09:48:43	ga_ls7e_ard_3-2-1_107075_2022-01-05_final
2022-01-05 09:50:19	ga_ls7e_ard_3-2-1_107079_2022-01-05_final
2022-01-06 08:54:36	ga_ls7e_ard_3-2-1_098079_2022-01-05_final
2022-01-08 10:19:45	ga_ls7e_ard_3-2-1_112076_2022-01-08_final
2022-01-12 09:55:03	ga_ls7e_ard_3-2-1_108077_2022-01-12_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-01-30 08:04:28	ga_ls7e_ard_3-2-1_090083_2022-01-29_final
2022-02-11 08:27:34	ga_ls7e_ard_3-2-1_094082_2022-02-10_final
2022-02-14 08:57:45	ga_ls7e_ard_3-2-1_099081_2022-02-13_final
2022-02-20 08:18:53	ga_ls7e_ard_3-2-1_093078_2022-02-19_final
2022-02-26 09:19:19	ga_ls7e_ard_3-2-1_103076_2022-02-25_final
2022-03-01 08:13:27	ga_ls7e_ard_3-2-1_092082_2022-02-28_final
2022-03-08 08:18:56	ga_ls7e_ard_3-2-1_093082_2022-03-07_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_final
2022-03-17 08:12:39	ga_ls7e_ard_3-2-1_092084_2022-03-16_final
2022-03-23 09:12:17	ga_ls7e_ard_3-2-1_102080_2022-03-22_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