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
2000-05-12 09:43:43	ga_ls7e_ard_3-0-0_095085_2000-05-12_final
2000-05-28 09:43:33	ga_ls7e_ard_3-0-0_095085_2000-05-28_final
2001-04-13 09:42:06	ga_ls7e_ard_3-0-0_095086_2001-04-13_final
2002-07-21 09:39:53	ga_ls7e_ard_3-0-0_095085_2002-07-21_final
2002-11-10 09:40:16	ga_ls7e_ard_3-0-0_095087_2002-11-10_final
2005-08-14 09:40:32	ga_ls7e_ard_3-0-0_095084_2005-08-14_final
2007-01-08 09:41:25	ga_ls7e_ard_3-0-0_095084_2007-01-08_final
2008-07-05 09:40:43	ga_ls7e_ard_3-0-0_095084_2008-07-05_final
2009-12-15 09:42:35	ga_ls7e_ard_3-0-0_095085_2009-12-15_final
2010-03-21 09:42:57	ga_ls7e_ard_3-0-0_095083_2010-03-21_final
2010-06-09 09:43:20	ga_ls7e_ard_3-0-0_095084_2010-06-09_final
2011-04-25 09:45:12	ga_ls7e_ard_3-0-0_095085_2011-04-25_final
2011-06-28 09:45:07	ga_ls7e_ard_3-0-0_095085_2011-06-28_final
2012-04-27 09:45:32	ga_ls7e_ard_3-0-0_095084_2012-04-27_final
2013-01-24 09:46:59	ga_ls7e_ard_3-0-0_095083_2013-01-24_final
2013-12-26 09:46:24	ga_ls7e_ard_3-0-0_095081_2013-12-26_final
2015-03-03 09:50:28	ga_ls7e_ard_3-0-0_095085_2015-03-03_final
2015-07-25 09:50:57	ga_ls7e_ard_3-0-0_095084_2015-07-25_final
2016-03-05 09:53:36	ga_ls7e_ard_3-0-0_095085_2016-03-05_final
2016-08-12 09:53:49	ga_ls7e_ard_3-0-0_095084_2016-08-12_final
2016-10-15 09:53:32	ga_ls7e_ard_3-0-0_095083_2016-10-15_final
2017-01-03 09:53:28	ga_ls7e_ard_3-0-0_095084_2017-01-03_final
2017-08-31 09:53:48	ga_ls7e_ard_3-0-0_095084_2017-08-31_final
2019-01-25 09:46:03	ga_ls7e_ard_3-0-0_095085_2019-01-25_final
2019-08-21 09:36:58	ga_ls7e_ard_3-0-0_095081_2019-08-21_final
2020-02-29 09:29:05	ga_ls7e_ard_3-1-0_095084_2020-02-28_final
2020-08-07 09:18:03	ga_ls7e_ard_3-1-0_095080_2020-08-06_final
2021-02-10 08:47:28	ga_ls7e_ard_3-2-0_092082_2021-02-09_final
2021-02-15 10:44:31	ga_ls7e_ard_3-2-0_111082_2021-02-15_final
2021-02-17 10:30:00	ga_ls7e_ard_3-2-0_109077_2021-02-17_final
2021-02-24 10:36:51	ga_ls7e_ard_3-2-0_110080_2021-02-24_final
2021-03-06 09:31:29	ga_ls7e_ard_3-2-0_100073_2021-03-06_final
2021-03-06 09:33:52	ga_ls7e_ard_3-2-0_100079_2021-03-06_final
2021-03-08 10:59:26	ga_ls7e_ard_3-2-0_114077_2021-03-08_final
2021-03-19 10:39:38	ga_ls7e_ard_3-2-0_111076_2021-03-19_final
2021-03-25 10:02:52	ga_ls7e_ard_3-2-0_105078_2021-03-25_final
2021-04-02 10:52:03	ga_ls7e_ard_3-2-0_113079_2021-04-02_final
2021-04-17 10:04:21	ga_ls7e_ard_3-2-0_106071_2021-04-17_final
2021-04-17 10:08:20	ga_ls7e_ard_3-2-0_106081_2021-04-17_final
2021-04-29 08:54:45	ga_ls7e_ard_3-2-0_094085_2021-04-28_final
2021-04-29 10:28:03	ga_ls7e_ard_3-2-0_110071_2021-04-29_final
2021-05-01 10:16:19	ga_ls7e_ard_3-2-0_108073_2021-05-01_final
2021-05-04 09:12:05	ga_ls7e_ard_3-2-0_097083_2021-05-03_final
2021-05-09 09:29:00	ga_ls7e_ard_3-2-0_100080_2021-05-08_final
2021-05-11 09:16:53	ga_ls7e_ard_3-2-0_098081_2021-05-10_final
2021-05-17 10:16:59	ga_ls7e_ard_3-2-0_108078_2021-05-17_final
2021-06-07 10:34:08	ga_ls7e_ard_3-2-0_111079_2021-06-07_final
2021-06-07 10:35:20	ga_ls7e_ard_3-2-0_111082_2021-06-07_final
2021-07-05 09:16:04	ga_ls7e_ard_3-2-0_099075_2021-07-04_final
2021-07-11 08:38:05	ga_ls7e_ard_3-2-0_093074_2021-07-10_final
2021-07-16 08:59:23	ga_ls7e_ard_3-2-0_096082_2021-07-15_final
2021-07-26 09:35:36	ga_ls7e_ard_3-2-0_102082_2021-07-26_final
2021-08-05 10:06:37	ga_ls7e_ard_3-2-0_108069_2021-08-05_final
2021-08-10 10:27:54	ga_ls7e_ard_3-2-0_111077_2021-08-10_final
2021-08-11 09:34:11	ga_ls7e_ard_3-2-0_102082_2021-08-11_final
2021-08-15 09:09:07	ga_ls7e_ard_3-2-0_098082_2021-08-14_final
2021-08-24 08:57:46	ga_ls7e_ard_3-2-0_097071_2021-08-23_final
2021-08-25 09:42:08	ga_ls7e_ard_3-2-0_104074_2021-08-25_final
2021-09-13 10:13:22	ga_ls7e_ard_3-2-0_109079_2021-09-13_final
2021-09-17 09:47:30	ga_ls7e_ard_3-2-0_105077_2021-09-17_final
2021-10-02 09:04:30	ga_ls7e_ard_3-2-0_098081_2021-10-01_final
2021-10-08 08:28:53	ga_ls7e_ard_3-2-0_092086_2021-10-07_final
2021-10-15 10:08:08	ga_ls7e_ard_3-2-0_109073_2021-10-15_final
2021-10-17 08:20:19	ga_ls7e_ard_3-2-0_091082_2021-10-16_final
2021-10-20 10:28:13	ga_ls7e_ard_3-2-0_112078_2021-10-20_final
2021-10-23 09:17:34	ga_ls7e_ard_3-2-0_101072_2021-10-22_final
2021-10-23 09:20:46	ga_ls7e_ard_3-2-0_101080_2021-10-22_final
2021-10-24 08:25:27	ga_ls7e_ard_3-2-0_092081_2021-10-23_final
2021-10-26 08:13:19	ga_ls7e_ard_3-2-0_090082_2021-10-25_final
2021-10-28 09:38:51	ga_ls7e_ard_3-2-0_104080_2021-10-28_final
2021-11-05 10:27:32	ga_ls7e_ard_3-2-0_112080_2021-11-05_final
2021-11-28 10:30:18	ga_ls7e_ard_3-2-1_113077_2021-11-28_final
2021-12-02 08:28:43	ga_ls7e_ard_3-2-1_093083_2021-12-01_final
2021-12-06 09:37:43	ga_ls7e_ard_3-2-1_105071_2021-12-06_final
2021-12-08 09:29:34	ga_ls7e_ard_3-2-1_103082_2021-12-07_final
2021-12-09 08:31:51	ga_ls7e_ard_3-2-1_094077_2021-12-08_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-14 08:52:18	ga_ls7e_ard_3-2-1_097083_2021-12-13_final
2021-12-16 10:13:51	ga_ls7e_ard_3-2-1_111071_2021-12-16_final
2021-12-19 09:06:46	ga_ls7e_ard_3-2-1_100074_2021-12-18_final
2021-12-25 10:10:22	ga_ls7e_ard_3-2-1_110080_2021-12-25_final
2021-12-30 08:47:08	ga_ls7e_ard_3-2-1_097074_2021-12-29_final
2022-01-08 10:20:56	ga_ls7e_ard_3-2-1_112079_2022-01-08_final
2022-01-10 08:31:07	ga_ls7e_ard_3-2-1_094083_2022-01-09_final
2022-01-15 10:26:28	ga_ls7e_ard_3-2-1_113079_2022-01-15_final
2022-01-16 09:27:10	ga_ls7e_ard_3-2-1_104070_2022-01-15_final
2022-02-04 08:22:30	ga_ls7e_ard_3-2-1_093083_2022-02-03_final
2022-02-07 08:52:18	ga_ls7e_ard_3-2-1_098081_2022-02-06_final
2022-02-16 10:22:04	ga_ls7e_ard_3-2-1_113076_2022-02-16_final
2022-02-25 08:35:22	ga_ls7e_ard_3-2-1_096074_2022-02-24_final
2022-02-28 09:06:46	ga_ls7e_ard_3-2-1_101076_2022-02-27_final
2022-03-01 08:11:51	ga_ls7e_ard_3-2-1_092078_2022-02-28_final
2022-03-17 08:10:15	ga_ls7e_ard_3-2-1_092078_2022-03-16_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-30 09:16:12	ga_ls7e_ard_3-2-1_103076_2022-03-29_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_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