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
2001-05-14 08:57:02	ga_ls7e_ard_3-0-0_088082_2001-05-13_final
2003-03-18 09:35:31	ga_ls7e_ard_3-1-0_095073_2003-03-18_final
2004-10-14 09:40:10	ga_ls7e_ard_3-0-0_095085_2004-10-14_final
2004-10-30 09:36:26	ga_ls7e_ard_3-0-0_095075_2004-10-30_final
2004-12-17 09:39:37	ga_ls7e_ard_3-0-0_095082_2004-12-17_final
2005-06-11 09:36:17	ga_ls7e_ard_3-1-0_095073_2005-06-11_final
2005-06-27 09:39:00	ga_ls7e_ard_3-0-0_095080_2005-06-27_final
2006-03-10 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-10_final
2006-06-30 09:39:30	ga_ls7e_ard_3-0-0_095080_2006-06-30_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2007-07-03 09:40:14	ga_ls7e_ard_3-0-0_095081_2007-07-03_final
2008-11-26 09:38:29	ga_ls7e_ard_3-1-0_095079_2008-11-26_final
2009-03-02 09:36:51	ga_ls7e_ard_3-1-0_095073_2009-03-02_final
2009-05-05 09:37:13	ga_ls7e_ard_3-1-0_095073_2009-05-05_final
2013-01-08 09:45:45	ga_ls7e_ard_3-0-0_095080_2013-01-08_final
2013-11-24 09:47:25	ga_ls7e_ard_3-0-0_095084_2013-11-24_final
2014-05-03 09:43:37	ga_ls7e_ard_3-0-0_095072_2014-05-03_final
2015-03-03 09:50:52	ga_ls7e_ard_3-0-0_095086_2015-03-03_final
2016-06-09 09:48:56	ga_ls7e_ard_3-0-0_095072_2016-06-09_final
2016-12-18 09:49:37	ga_ls7e_ard_3-0-0_095074_2016-12-18_final
2017-01-03 09:54:16	ga_ls7e_ard_3-0-0_095086_2017-01-03_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-08-31 09:54:36	ga_ls7e_ard_3-0-0_095086_2017-08-31_final
2019-02-10 09:40:23	ga_ls7e_ard_3-0-0_095072_2019-02-10_final
2019-12-27 09:33:09	ga_ls7e_ard_3-1-0_095086_2019-12-27_final
2020-01-28 09:31:32	ga_ls7e_ard_3-1-0_095086_2020-01-28_final
2021-02-08 10:34:28	ga_ls7e_ard_3-2-0_110071_2021-02-08_final
2021-02-11 11:06:44	ga_ls7e_ard_3-2-0_115075_2021-02-11_final
2021-02-13 10:57:25	ga_ls7e_ard_3-2-0_113083_2021-02-13_final
2021-02-21 08:29:42	ga_ls7e_ard_3-2-0_089086_2021-02-20_final
2021-03-14 10:21:29	ga_ls7e_ard_3-2-0_108076_2021-03-14_final
2021-03-14 10:24:17	ga_ls7e_ard_3-2-0_108083_2021-03-14_final
2021-03-25 08:24:23	ga_ls7e_ard_3-2-0_089079_2021-03-24_final
2021-03-28 08:52:39	ga_ls7e_ard_3-2-0_094073_2021-03-27_final
2021-04-07 09:32:53	ga_ls7e_ard_3-2-0_100083_2021-04-07_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-10 09:57:57	ga_ls7e_ard_3-2-0_105069_2021-04-10_final
2021-04-15 08:39:35	ga_ls7e_ard_3-2-0_092075_2021-04-14_final
2021-04-17 10:07:32	ga_ls7e_ard_3-2-0_106079_2021-04-17_final
2021-05-12 08:20:47	ga_ls7e_ard_3-2-0_089080_2021-05-11_final
2021-05-20 10:46:01	ga_ls7e_ard_3-2-0_113074_2021-05-20_final
2021-05-24 08:46:28	ga_ls7e_ard_3-2-0_093085_2021-05-23_final
2021-05-26 10:12:01	ga_ls7e_ard_3-2-0_107083_2021-05-26_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-04 10:04:41	ga_ls7e_ard_3-2-0_106082_2021-06-04_final
2021-06-10 09:27:55	ga_ls7e_ard_3-2-0_100084_2021-06-09_final
2021-06-21 09:02:29	ga_ls7e_ard_3-2-0_097069_2021-06-20_final
2021-06-21 09:06:05	ga_ls7e_ard_3-2-0_097078_2021-06-20_final
2021-06-23 10:28:03	ga_ls7e_ard_3-2-0_111067_2021-06-23_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-01 09:43:55	ga_ls7e_ard_3-2-0_103082_2021-07-01_final
2021-07-16 08:57:24	ga_ls7e_ard_3-2-0_096077_2021-07-15_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-07-29 08:28:34	ga_ls7e_ard_3-2-0_091085_2021-07-28_final
2021-08-19 10:18:56	ga_ls7e_ard_3-2-0_110072_2021-08-19_final
2021-09-08 09:52:29	ga_ls7e_ard_3-2-0_106072_2021-09-08_final
2021-09-12 09:26:13	ga_ls7e_ard_3-2-0_102069_2021-09-11_final
2021-09-17 08:10:37	ga_ls7e_ard_3-2-0_089082_2021-09-16_final
2021-09-19 09:31:22	ga_ls7e_ard_3-2-0_103068_2021-09-19_final
2021-09-22 10:02:24	ga_ls7e_ard_3-2-0_108069_2021-09-22_final
2021-09-25 08:58:08	ga_ls7e_ard_3-2-0_097079_2021-09-24_final
2021-09-30 09:17:49	ga_ls7e_ard_3-2-0_100083_2021-09-29_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-13 08:46:35	ga_ls7e_ard_3-2-0_095085_2021-10-12_final
2021-10-14 09:24:10	ga_ls7e_ard_3-2-0_102071_2021-10-13_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-03 08:58:01	ga_ls7e_ard_3-2-0_098072_2021-11-02_final
2021-11-07 08:36:06	ga_ls7e_ard_3-2-0_094080_2021-11-06_final
2021-11-10 09:06:43	ga_ls7e_ard_3-2-0_099080_2021-11-09_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-12-03 09:09:54	ga_ls7e_ard_3-2-1_100078_2021-12-02_final
2021-12-11 08:22:30	ga_ls7e_ard_3-2-1_092085_2021-12-10_final
2021-12-13 09:43:14	ga_ls7e_ard_3-2-1_106071_2021-12-13_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2021-12-24 09:28:01	ga_ls7e_ard_3-2-1_103082_2021-12-23_final
2021-12-27 08:18:56	ga_ls7e_ard_3-2-1_092080_2021-12-26_final
2021-12-27 09:55:01	ga_ls7e_ard_3-2-1_108073_2021-12-27_final
2022-01-12 08:19:22	ga_ls7e_ard_3-2-1_092085_2022-01-11_final
2022-01-29 08:58:11	ga_ls7e_ard_3-2-1_099078_2022-01-28_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-02-01 09:26:24	ga_ls7e_ard_3-2-1_104072_2022-01-31_final
2022-02-03 09:13:02	ga_ls7e_ard_3-2-1_102070_2022-02-02_final
2022-02-06 08:10:21	ga_ls7e_ard_3-2-1_091084_2022-02-05_final
2022-02-08 07:56:11	ga_ls7e_ard_3-2-1_089080_2022-02-07_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-02-27 10:01:17	ga_ls7e_ard_3-2-1_110073_2022-02-27_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-06 10:05:59	ga_ls7e_ard_3-2-1_111071_2022-03-06_final
2022-03-11 10:26:01	ga_ls7e_ard_3-2-1_114076_2022-03-11_final
2022-03-20 08:43:15	ga_ls7e_ard_3-2-1_097084_2022-03-19_final
2022-03-22 08:26:43	ga_ls7e_ard_3-2-1_095074_2022-03-21_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_2022-03-22_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_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