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
2006-06-14 09:42:24	ga_ls7e_ard_3-0-0_095087_2006-06-14_final
2009-02-14 09:42:17	ga_ls7e_ard_3-0-0_095087_2009-02-14_final
2009-08-09 09:42:34	ga_ls7e_ard_3-0-0_095087_2009-08-09_final
2010-12-02 09:45:18	ga_ls7e_ard_3-0-0_095087_2010-12-02_final
2010-12-18 09:45:26	ga_ls7e_ard_3-0-0_095087_2010-12-18_final
2013-01-08 09:48:33	ga_ls7e_ard_3-0-0_095087_2013-01-08_final
2013-12-10 09:48:44	ga_ls7e_ard_3-0-0_095087_2013-12-10_final
2014-05-19 09:49:44	ga_ls7e_ard_3-0-0_095087_2014-05-19_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-03-09 08:26:28	ga_ls7e_ard_3-2-0_089081_2021-03-08_final
2021-03-19 08:59:09	ga_ls7e_ard_3-2-0_095072_2021-03-18_final
2021-03-20 09:43:32	ga_ls7e_ard_3-2-0_102075_2021-03-20_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-03-27 09:47:57	ga_ls7e_ard_3-2-0_103072_2021-03-27_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-04-09 09:15:11	ga_ls7e_ard_3-2-0_098070_2021-04-08_final
2021-04-15 08:39:35	ga_ls7e_ard_3-2-0_092075_2021-04-14_final
2021-04-24 10:11:32	ga_ls7e_ard_3-2-0_107075_2021-04-24_final
2021-04-26 08:21:43	ga_ls7e_ard_3-2-0_089079_2021-04-25_final
2021-04-26 09:56:36	ga_ls7e_ard_3-2-0_105069_2021-04-26_final
2021-05-01 10:16:43	ga_ls7e_ard_3-2-0_108074_2021-05-01_final
2021-05-01 10:20:18	ga_ls7e_ard_3-2-0_108083_2021-05-01_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-25 09:26:51	ga_ls7e_ard_3-2-0_100078_2021-05-24_final
2021-05-27 09:09:56	ga_ls7e_ard_3-2-0_098067_2021-05-26_final
2021-05-27 09:10:20	ga_ls7e_ard_3-2-0_098068_2021-05-26_final
2021-06-03 09:15:31	ga_ls7e_ard_3-2-0_099067_2021-06-02_final
2021-06-19 09:15:01	ga_ls7e_ard_3-2-0_099069_2021-06-18_final
2021-06-21 10:40:34	ga_ls7e_ard_3-2-0_113067_2021-06-21_final
2021-06-27 10:09:22	ga_ls7e_ard_3-2-0_107083_2021-06-27_final
2021-06-28 09:13:40	ga_ls7e_ard_3-2-0_098083_2021-06-27_final
2021-06-28 10:46:10	ga_ls7e_ard_3-2-0_114067_2021-06-28_final
2021-07-02 10:21:07	ga_ls7e_ard_3-2-0_110067_2021-07-02_final
2021-07-05 10:54:57	ga_ls7e_ard_3-2-0_115075_2021-07-05_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-23 09:06:10	ga_ls7e_ard_3-2-0_097085_2021-07-22_final
2021-07-29 08:28:34	ga_ls7e_ard_3-2-0_091085_2021-07-28_final
2021-08-01 08:59:36	ga_ls7e_ard_3-2-0_096086_2021-07-31_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-03 10:24:20	ga_ls7e_ard_3-2-0_110082_2021-08-03_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_final
2021-08-14 10:02:25	ga_ls7e_ard_3-2-0_107076_2021-08-14_final
2021-08-16 09:49:29	ga_ls7e_ard_3-2-0_105075_2021-08-16_final
2021-08-21 10:06:00	ga_ls7e_ard_3-2-0_108071_2021-08-21_final
2021-08-24 10:37:50	ga_ls7e_ard_3-2-0_113074_2021-08-24_final
2021-08-26 10:24:30	ga_ls7e_ard_3-2-0_111072_2021-08-26_final
2021-09-04 10:17:33	ga_ls7e_ard_3-2-0_110072_2021-09-04_final
2021-09-04 10:19:09	ga_ls7e_ard_3-2-0_110076_2021-09-04_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-10-02 08:59:18	ga_ls7e_ard_3-2-0_098068_2021-10-01_final
2021-10-03 09:45:16	ga_ls7e_ard_3-2-0_105075_2021-10-03_final
2021-10-04 08:46:22	ga_ls7e_ard_3-2-0_096067_2021-10-03_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-13 10:21:04	ga_ls7e_ard_3-2-0_111074_2021-10-13_final
2021-10-14 09:27:45	ga_ls7e_ard_3-2-0_102080_2021-10-13_final
2021-10-15 08:34:27	ga_ls7e_ard_3-2-0_093086_2021-10-14_final
2021-10-20 10:26:37	ga_ls7e_ard_3-2-0_112074_2021-10-20_final
2021-10-23 09:21:58	ga_ls7e_ard_3-2-0_101083_2021-10-22_final
2021-10-27 10:36:09	ga_ls7e_ard_3-2-0_113084_2021-10-27_final
2021-11-02 09:55:43	ga_ls7e_ard_3-2-0_107077_2021-11-02_final
2021-11-05 08:44:40	ga_ls7e_ard_3-2-0_096070_2021-11-04_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-09 10:02:02	ga_ls7e_ard_3-2-0_108079_2021-11-09_final
2021-11-10 10:43:12	ga_ls7e_ard_3-2-0_115074_2021-11-10_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-11-23 10:11:49	ga_ls7e_ard_3-2-1_110076_2021-11-23_final
2021-11-30 10:15:46	ga_ls7e_ard_3-2-1_111072_2021-11-30_final
2021-12-02 08:29:55	ga_ls7e_ard_3-2-1_093086_2021-12-01_final
2021-12-04 08:17:47	ga_ls7e_ard_3-2-1_091087_2021-12-03_final
2021-12-04 09:49:52	ga_ls7e_ard_3-2-1_107070_2021-12-04_final
2021-12-05 08:54:33	ga_ls7e_ard_3-2-1_098071_2021-12-04_final
2021-12-06 09:37:19	ga_ls7e_ard_3-2-1_105070_2021-12-06_final
2021-12-06 09:41:19	ga_ls7e_ard_3-2-1_105080_2021-12-06_final
2021-12-08 09:24:22	ga_ls7e_ard_3-2-1_103069_2021-12-07_final
2021-12-18 08:27:36	ga_ls7e_ard_3-2-1_093084_2021-12-17_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2021-12-28 09:02:06	ga_ls7e_ard_3-2-1_099080_2021-12-27_final
2022-01-03 10:01:41	ga_ls7e_ard_3-2-1_109076_2022-01-03_final
2022-01-06 08:51:49	ga_ls7e_ard_3-2-1_098072_2022-01-05_final
2022-01-14 09:38:55	ga_ls7e_ard_3-2-1_106068_2022-01-14_final
2022-01-17 08:32:39	ga_ls7e_ard_3-2-1_095073_2022-01-16_final
2022-01-19 08:22:29	ga_ls7e_ard_3-2-1_093079_2022-01-18_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-01-20 09:05:39	ga_ls7e_ard_3-2-1_100079_2022-01-19_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_final
2022-01-21 09:45:37	ga_ls7e_ard_3-2-1_107071_2022-01-21_final
2022-01-22 08:48:43	ga_ls7e_ard_3-2-1_098068_2022-01-21_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_final
2022-02-06 08:11:08	ga_ls7e_ard_3-2-1_091086_2022-02-05_final
2022-02-06 09:44:02	ga_ls7e_ard_3-2-1_107071_2022-02-06_final
2022-02-08 07:58:11	ga_ls7e_ard_3-2-1_089085_2022-02-07_final
2022-02-11 10:03:15	ga_ls7e_ard_3-2-1_110074_2022-02-11_final
2022-02-19 09:10:37	ga_ls7e_ard_3-2-1_102068_2022-02-18_final
2022-02-23 10:28:47	ga_ls7e_ard_3-2-1_114079_2022-02-23_final
2022-02-24 09:34:16	ga_ls7e_ard_3-2-1_105082_2022-02-24_final
2022-02-25 10:17:02	ga_ls7e_ard_3-2-1_112081_2022-02-25_final
2022-03-08 08:20:08	ga_ls7e_ard_3-2-1_093085_2022-03-07_final
2022-03-11 08:43:57	ga_ls7e_ard_3-2-1_098068_2022-03-10_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