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
2000-09-01 09:40:52	ga_ls7e_ard_3-0-0_095081_2000-09-01_final
2000-11-04 09:41:57	ga_ls7e_ard_3-0-0_095085_2000-11-04_final
2001-03-12 09:41:54	ga_ls7e_ard_3-0-0_095085_2001-03-12_final
2005-08-14 09:41:20	ga_ls7e_ard_3-0-0_095086_2005-08-14_final
2005-11-18 09:40:42	ga_ls7e_ard_3-0-0_095084_2005-11-18_final
2006-12-07 09:37:44	ga_ls7e_ard_3-0-0_095075_2006-12-07_final
2007-03-29 09:40:32	ga_ls7e_ard_3-0-0_095081_2007-03-29_final
2009-06-06 09:41:38	ga_ls7e_ard_3-0-0_095084_2009-06-06_final
2010-03-05 09:40:28	ga_ls7e_ard_3-0-0_095077_2010-03-05_final
2010-10-15 09:39:59	ga_ls7e_ard_3-0-0_095075_2010-10-15_final
2013-06-01 09:45:20	ga_ls7e_ard_3-0-0_095080_2013-06-01_final
2014-05-03 09:49:13	ga_ls7e_ard_3-0-0_095086_2014-05-03_final
2019-07-04 09:35:43	ga_ls7e_ard_3-1-0_095073_2019-07-04_final
2020-04-01 09:26:07	ga_ls7e_ard_3-1-0_095081_2020-03-31_final
2020-04-17 09:27:12	ga_ls7e_ard_3-1-0_095086_2020-04-16_final
2020-08-07 09:20:27	ga_ls7e_ard_3-1-0_095086_2020-08-06_final
2020-09-08 09:13:59	ga_ls7e_ard_3-1-0_095075_2020-09-07_final
2021-02-13 09:12:57	ga_ls7e_ard_3-2-0_097069_2021-02-12_final
2021-02-15 08:59:39	ga_ls7e_ard_3-2-0_095067_2021-02-14_final
2021-03-01 10:54:12	ga_ls7e_ard_3-2-0_113078_2021-03-01_final
2021-03-08 09:17:22	ga_ls7e_ard_3-2-0_098069_2021-03-07_final
2021-03-16 08:33:41	ga_ls7e_ard_3-2-0_090085_2021-03-15_final
2021-03-16 10:07:22	ga_ls7e_ard_3-2-0_106072_2021-03-16_final
2021-03-20 09:44:44	ga_ls7e_ard_3-2-0_102078_2021-03-20_final
2021-03-25 09:59:16	ga_ls7e_ard_3-2-0_105069_2021-03-25_final
2021-04-25 09:19:49	ga_ls7e_ard_3-2-0_098085_2021-04-24_final
2021-05-04 10:48:34	ga_ls7e_ard_3-2-0_113077_2021-05-04_final
2021-05-05 09:54:28	ga_ls7e_ard_3-2-0_104081_2021-05-05_final
2021-05-09 09:30:36	ga_ls7e_ard_3-2-0_100084_2021-05-09_final
2021-05-22 10:37:05	ga_ls7e_ard_3-2-0_111083_2021-05-22_final
2021-05-24 08:47:40	ga_ls7e_ard_3-2-0_093088_2021-05-23_final
2021-05-24 10:22:09	ga_ls7e_ard_3-2-0_109077_2021-05-24_final
2021-05-29 10:39:52	ga_ls7e_ard_3-2-0_112076_2021-05-29_final
2021-06-02 10:17:36	ga_ls7e_ard_3-2-0_108083_2021-06-02_final
2021-06-09 08:46:20	ga_ls7e_ard_3-2-0_093088_2021-06-08_final
2021-06-09 10:20:25	ga_ls7e_ard_3-2-0_109076_2021-06-09_final
2021-06-11 08:33:49	ga_ls7e_ard_3-2-0_091088_2021-06-10_final
2021-06-11 10:10:17	ga_ls7e_ard_3-2-0_107082_2021-06-11_final
2021-06-14 09:00:52	ga_ls7e_ard_3-2-0_096079_2021-06-13_final
2021-06-16 10:26:26	ga_ls7e_ard_3-2-0_110077_2021-06-16_final
2021-06-18 08:38:37	ga_ls7e_ard_3-2-0_092086_2021-06-17_final
2021-06-18 08:39:25	ga_ls7e_ard_3-2-0_092088_2021-06-17_final
2021-06-21 10:47:21	ga_ls7e_ard_3-2-0_113084_2021-06-21_final
2021-06-25 08:44:37	ga_ls7e_ard_3-2-0_093087_2021-06-24_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-07-05 09:18:52	ga_ls7e_ard_3-2-0_099082_2021-07-04_final
2021-07-16 08:54:36	ga_ls7e_ard_3-2-0_096070_2021-07-15_final
2021-07-19 09:30:26	ga_ls7e_ard_3-2-0_101083_2021-07-19_final
2021-07-20 08:36:19	ga_ls7e_ard_3-2-0_092087_2021-07-19_final
2021-07-21 09:18:18	ga_ls7e_ard_3-2-0_099084_2021-07-20_final
2021-08-10 08:45:02	ga_ls7e_ard_3-2-0_095067_2021-08-09_final
2021-08-14 08:28:20	ga_ls7e_ard_3-2-0_091088_2021-08-13_final
2021-08-23 09:57:51	ga_ls7e_ard_3-2-0_106082_2021-08-23_final
2021-09-12 09:30:36	ga_ls7e_ard_3-2-0_102080_2021-09-12_final
2021-09-12 09:31:24	ga_ls7e_ard_3-2-0_102082_2021-09-12_final
2021-09-29 08:33:27	ga_ls7e_ard_3-2-0_093080_2021-09-28_final
2021-10-19 09:46:15	ga_ls7e_ard_3-2-0_105081_2021-10-19_final
2021-11-12 08:55:22	ga_ls7e_ard_3-2-0_097083_2021-11-11_final
2021-11-18 08:16:06	ga_ls7e_ard_3-2-1_091079_2021-11-17_final
2021-11-18 08:19:42	ga_ls7e_ard_3-2-1_091088_2021-11-17_final
2021-11-23 08:36:08	ga_ls7e_ard_3-2-1_094084_2021-11-22_final
2021-11-23 08:36:32	ga_ls7e_ard_3-2-1_094085_2021-11-22_final
2021-11-23 08:36:56	ga_ls7e_ard_3-2-1_094086_2021-11-22_final
2021-11-24 09:16:54	ga_ls7e_ard_3-2-1_101078_2021-11-23_final
2021-12-02 08:30:43	ga_ls7e_ard_3-2-1_093088_2021-12-01_final
2021-12-20 08:17:27	ga_ls7e_ard_3-2-1_091090_2021-12-19_final
2021-12-22 08:02:30	ga_ls7e_ard_3-2-1_089084_2021-12-21_final
2021-12-22 09:40:10	ga_ls7e_ard_3-2-1_105081_2021-12-22_final
2022-01-11 09:09:29	ga_ls7e_ard_3-2-1_101071_2022-01-10_final
2022-01-14 09:44:54	ga_ls7e_ard_3-2-1_106083_2022-01-14_final
2022-01-20 09:04:03	ga_ls7e_ard_3-2-1_100075_2022-01-19_final
2022-01-24 08:38:57	ga_ls7e_ard_3-2-1_096075_2022-01-23_final
2022-01-24 08:41:20	ga_ls7e_ard_3-2-1_096081_2022-01-23_final
2022-01-24 08:42:08	ga_ls7e_ard_3-2-1_096083_2022-01-23_final
2022-01-28 08:19:01	ga_ls7e_ard_3-2-1_092088_2022-01-27_final
2022-01-28 08:19:25	ga_ls7e_ard_3-2-1_092089_2022-01-27_final
2022-01-28 09:53:07	ga_ls7e_ard_3-2-1_108076_2022-01-28_final
2022-01-30 09:38:10	ga_ls7e_ard_3-2-1_106070_2022-01-30_final
2022-01-31 08:43:38	ga_ls7e_ard_3-2-1_097073_2022-01-30_final
2022-02-01 09:26:48	ga_ls7e_ard_3-2-1_104073_2022-01-31_final
2022-02-11 10:04:27	ga_ls7e_ard_3-2-1_110077_2022-02-11_final
2022-02-11 10:04:51	ga_ls7e_ard_3-2-1_110078_2022-02-11_final
2022-02-16 08:40:24	ga_ls7e_ard_3-2-1_097069_2022-02-15_final
2022-02-20 08:18:30	ga_ls7e_ard_3-2-1_093077_2022-02-19_final
2022-02-20 08:18:53	ga_ls7e_ard_3-2-1_093078_2022-02-19_final
2022-02-25 08:34:34	ga_ls7e_ard_3-2-1_096072_2022-02-24_final
2022-03-01 08:15:03	ga_ls7e_ard_3-2-1_092086_2022-02-28_final
2022-03-01 09:48:20	ga_ls7e_ard_3-2-1_108072_2022-03-01_final
2022-03-03 07:59:18	ga_ls7e_ard_3-2-1_090078_2022-03-02_final
2022-03-03 09:38:10	ga_ls7e_ard_3-2-1_106078_2022-03-03_final
2022-03-03 09:39:46	ga_ls7e_ard_3-2-1_106082_2022-03-03_final
2022-03-05 09:27:13	ga_ls7e_ard_3-2-1_104082_2022-03-04_final
2022-03-06 10:06:23	ga_ls7e_ard_3-2-1_111072_2022-03-06_final
2022-03-08 09:53:50	ga_ls7e_ard_3-2-1_109072_2022-03-08_final
2022-03-17 08:13:03	ga_ls7e_ard_3-2-1_092085_2022-03-16_final
2022-03-19 08:00:05	ga_ls7e_ard_3-2-1_090084_2022-03-18_final
2022-03-20 08:37:16	ga_ls7e_ard_3-2-1_097069_2022-03-19_final
2022-03-22 10:09:11	ga_ls7e_ard_3-2-1_111083_2022-03-22_final
2022-03-28 07:52:16	ga_ls7e_ard_3-2-1_089082_2022-03-27_final
2022-03-28 09:29:57	ga_ls7e_ard_3-2-1_105079_2022-03-27_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