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
2002-11-10 09:39:52	ga_ls7e_ard_3-0-0_095086_2002-11-10_final
2003-10-28 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-10-28_final
2003-11-13 09:35:21	ga_ls7e_ard_3-1-0_095073_2003-11-13_final
2003-12-31 09:41:18	ga_ls7e_ard_3-0-0_095087_2003-12-31_final
2006-02-22 09:41:16	ga_ls7e_ard_3-0-0_095084_2006-02-22_final
2007-08-20 09:42:00	ga_ls7e_ard_3-0-0_095086_2007-08-20_final
2007-09-21 09:41:47	ga_ls7e_ard_3-0-0_095086_2007-09-21_final
2008-12-28 09:36:24	ga_ls7e_ard_3-1-0_095073_2008-12-28_final
2009-05-21 09:42:26	ga_ls7e_ard_3-0-0_095086_2009-05-21_final
2009-08-25 09:41:46	ga_ls7e_ard_3-0-0_095085_2009-08-25_final
2014-11-27 09:50:42	ga_ls7e_ard_3-0-0_095087_2014-11-27_final
2015-08-26 09:51:50	ga_ls7e_ard_3-0-0_095086_2015-08-26_final
2018-04-12 09:53:11	ga_ls7e_ard_3-0-0_095087_2018-04-12_final
2019-09-22 09:32:22	ga_ls7e_ard_3-1-0_095073_2019-09-22_final
2020-08-23 09:14:38	ga_ls7e_ard_3-1-0_095074_2020-08-22_final
2021-02-08 10:34:28	ga_ls7e_ard_3-2-0_110071_2021-02-08_final
2021-02-11 09:30:39	ga_ls7e_ard_3-2-0_099082_2021-02-11_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-19 08:39:25	ga_ls7e_ard_3-2-0_091079_2021-02-18_final
2021-02-19 10:18:41	ga_ls7e_ard_3-2-0_107080_2021-02-19_final
2021-02-21 08:28:30	ga_ls7e_ard_3-2-0_089083_2021-02-20_final
2021-03-03 10:37:18	ga_ls7e_ard_3-2-0_111067_2021-03-03_final
2021-03-07 10:15:51	ga_ls7e_ard_3-2-0_107076_2021-03-07_final
2021-03-08 09:23:21	ga_ls7e_ard_3-2-0_098084_2021-03-07_final
2021-03-09 08:24:52	ga_ls7e_ard_3-2-0_089077_2021-03-08_final
2021-03-12 10:32:48	ga_ls7e_ard_3-2-0_110073_2021-03-12_final
2021-03-14 08:42:13	ga_ls7e_ard_3-2-0_092075_2021-03-13_final
2021-03-15 09:28:35	ga_ls7e_ard_3-2-0_099083_2021-03-14_final
2021-03-31 09:26:05	ga_ls7e_ard_3-2-0_099080_2021-03-30_final
2021-03-31 11:04:10	ga_ls7e_ard_3-2-0_115078_2021-03-31_final
2021-04-01 08:29:12	ga_ls7e_ard_3-2-0_090077_2021-03-31_final
2021-04-01 08:34:23	ga_ls7e_ard_3-2-0_090090_2021-03-31_final
2021-04-17 10:08:44	ga_ls7e_ard_3-2-0_106082_2021-04-17_final
2021-04-27 09:02:06	ga_ls7e_ard_3-2-0_096072_2021-04-26_final
2021-05-14 09:47:08	ga_ls7e_ard_3-2-0_103080_2021-05-14_final
2021-05-22 10:31:06	ga_ls7e_ard_3-2-0_111068_2021-05-22_final
2021-05-24 10:24:33	ga_ls7e_ard_3-2-0_109083_2021-05-24_final
2021-05-28 09:59:05	ga_ls7e_ard_3-2-0_105082_2021-05-28_final
2021-05-31 10:26:32	ga_ls7e_ard_3-2-0_110074_2021-05-31_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-03 09:15:31	ga_ls7e_ard_3-2-0_099067_2021-06-02_final
2021-06-11 10:05:30	ga_ls7e_ard_3-2-0_107070_2021-06-11_final
2021-06-20 10:03:22	ga_ls7e_ard_3-2-0_106082_2021-06-20_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-07-05 10:54:57	ga_ls7e_ard_3-2-0_115075_2021-07-05_final
2021-07-09 08:47:49	ga_ls7e_ard_3-2-0_095067_2021-07-08_final
2021-07-13 08:29:57	ga_ls7e_ard_3-2-0_091085_2021-07-12_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-18 08:40:52	ga_ls7e_ard_3-2-0_094067_2021-07-17_final
2021-07-21 09:11:55	ga_ls7e_ard_3-2-0_099068_2021-07-20_final
2021-07-21 10:54:47	ga_ls7e_ard_3-2-0_115078_2021-07-21_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-01 08:59:36	ga_ls7e_ard_3-2-0_096086_2021-07-31_final
2021-08-03 10:20:21	ga_ls7e_ard_3-2-0_110072_2021-08-03_final
2021-08-05 08:32:55	ga_ls7e_ard_3-2-0_092082_2021-08-04_final
2021-08-05 10:12:12	ga_ls7e_ard_3-2-0_108083_2021-08-05_final
2021-08-12 10:18:09	ga_ls7e_ard_3-2-0_109084_2021-08-12_final
2021-08-28 10:12:46	ga_ls7e_ard_3-2-0_109074_2021-08-28_final
2021-08-31 09:01:45	ga_ls7e_ard_3-2-0_098067_2021-08-30_final
2021-09-01 09:48:06	ga_ls7e_ard_3-2-0_105075_2021-09-01_final
2021-09-04 08:43:52	ga_ls7e_ard_3-2-0_094085_2021-09-03_final
2021-09-08 09:56:52	ga_ls7e_ard_3-2-0_106083_2021-09-08_final
2021-09-09 10:36:27	ga_ls7e_ard_3-2-0_113074_2021-09-09_final
2021-09-12 09:27:48	ga_ls7e_ard_3-2-0_102073_2021-09-11_final
2021-09-13 10:11:23	ga_ls7e_ard_3-2-0_109074_2021-09-13_final
2021-09-16 10:43:36	ga_ls7e_ard_3-2-0_114078_2021-09-16_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-02 08:59:18	ga_ls7e_ard_3-2-0_098068_2021-10-01_final
2021-10-08 10:01:23	ga_ls7e_ard_3-2-0_108070_2021-10-08_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-17 09:59:35	ga_ls7e_ard_3-2-0_107083_2021-10-17_final
2021-10-27 08:57:17	ga_ls7e_ard_3-2-0_097084_2021-10-26_final
2021-10-27 08:57:41	ga_ls7e_ard_3-2-0_097085_2021-10-26_final
2021-11-11 09:47:05	ga_ls7e_ard_3-2-0_106073_2021-11-11_final
2021-11-12 10:30:39	ga_ls7e_ard_3-2-1_113074_2021-11-12_final
2021-11-16 10:06:44	ga_ls7e_ard_3-2-1_109077_2021-11-16_final
2021-11-23 08:32:09	ga_ls7e_ard_3-2-1_094074_2021-11-22_final
2021-11-28 08:54:13	ga_ls7e_ard_3-2-1_097084_2021-11-27_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2021-12-02 10:02:49	ga_ls7e_ard_3-2-1_109071_2021-12-02_final
2021-12-19 09:08:22	ga_ls7e_ard_3-2-1_100078_2021-12-18_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-30 08:51:32	ga_ls7e_ard_3-2-1_097085_2021-12-29_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-14 08:08:49	ga_ls7e_ard_3-2-1_090090_2022-01-13_final
2022-01-15 08:49:35	ga_ls7e_ard_3-2-1_097084_2022-01-14_final
2022-01-17 10:11:31	ga_ls7e_ard_3-2-1_111073_2022-01-17_final
2022-01-22 08:48:19	ga_ls7e_ard_3-2-1_098067_2022-01-21_final
2022-01-22 08:48:43	ga_ls7e_ard_3-2-1_098068_2022-01-21_final
2022-02-02 10:14:21	ga_ls7e_ard_3-2-1_111084_2022-02-02_final
2022-02-03 09:14:38	ga_ls7e_ard_3-2-1_102074_2022-02-02_final
2022-02-07 10:28:47	ga_ls7e_ard_3-2-1_114075_2022-02-07_final
2022-02-07 10:30:47	ga_ls7e_ard_3-2-1_114080_2022-02-07_final
2022-02-08 07:57:47	ga_ls7e_ard_3-2-1_089084_2022-02-07_final
2022-02-11 10:02:27	ga_ls7e_ard_3-2-1_110072_2022-02-11_final
2022-02-27 10:05:17	ga_ls7e_ard_3-2-1_110083_2022-02-27_final
2022-03-04 10:19:44	ga_ls7e_ard_3-2-1_113074_2022-03-04_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-10 08:06:47	ga_ls7e_ard_3-2-1_091083_2022-03-09_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_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