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
1999-12-04 09:44:26	ga_ls7e_ard_3-0-0_095085_1999-12-04_final
2001-03-12 09:42:42	ga_ls7e_ard_3-0-0_095087_2001-03-12_final
2001-09-04 09:40:36	ga_ls7e_ard_3-1-0_095086_2001-09-04_final
2001-09-20 09:40:02	ga_ls7e_ard_3-0-0_095085_2001-09-20_final
2002-09-07 09:39:58	ga_ls7e_ard_3-0-0_095086_2002-09-07_final
2003-05-21 09:40:15	ga_ls7e_ard_3-0-0_095085_2003-05-21_final
2003-08-09 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-08-09_final
2004-10-30 09:40:50	ga_ls7e_ard_3-0-0_095086_2004-10-30_final
2006-02-22 09:41:40	ga_ls7e_ard_3-0-0_095085_2006-02-22_final
2009-10-28 09:40:21	ga_ls7e_ard_3-0-0_095081_2009-10-28_final
2009-12-31 09:43:16	ga_ls7e_ard_3-0-0_095086_2009-12-31_final
2011-10-02 09:44:51	ga_ls7e_ard_3-0-0_095085_2011-10-02_final
2012-04-11 09:46:02	ga_ls7e_ard_3-0-0_095086_2012-04-11_final
2012-08-17 09:45:57	ga_ls7e_ard_3-0-0_095083_2012-08-17_final
2013-09-21 09:47:17	ga_ls7e_ard_3-0-0_095085_2013-09-21_final
2013-12-26 09:48:24	ga_ls7e_ard_3-0-0_095086_2013-12-26_final
2015-08-26 09:49:50	ga_ls7e_ard_3-0-0_095081_2015-08-26_final
2016-01-17 09:53:39	ga_ls7e_ard_3-0-0_095086_2016-01-17_final
2017-02-04 09:53:35	ga_ls7e_ard_3-0-0_095085_2017-02-04_final
2017-08-15 09:53:00	ga_ls7e_ard_3-0-0_095082_2017-08-15_final
2018-01-22 09:52:15	ga_ls7e_ard_3-0-0_095082_2018-01-22_final
2018-04-12 09:51:11	ga_ls7e_ard_3-0-0_095082_2018-04-12_final
2019-04-15 09:44:16	ga_ls7e_ard_3-0-0_095087_2019-04-15_final
2019-05-01 09:42:29	ga_ls7e_ard_3-0-0_095084_2019-05-01_final
2020-01-12 09:29:56	ga_ls7e_ard_3-1-0_095080_2020-01-11_final
2020-03-16 09:26:37	ga_ls7e_ard_3-1-0_095080_2020-03-15_final
2021-01-21 09:14:51	ga_ls7e_ard_3-2-0_096085_2021-01-20_final
2021-02-12 08:37:45	ga_ls7e_ard_3-2-0_090089_2021-02-11_final
2021-02-24 10:38:03	ga_ls7e_ard_3-2-0_110083_2021-02-24_final
2021-03-06 09:34:40	ga_ls7e_ard_3-2-0_100081_2021-03-06_final
2021-03-08 10:58:38	ga_ls7e_ard_3-2-0_114075_2021-03-08_final
2021-03-09 10:00:57	ga_ls7e_ard_3-2-0_105070_2021-03-09_final
2021-03-23 10:12:11	ga_ls7e_ard_3-2-0_107070_2021-03-23_final
2021-03-25 08:24:47	ga_ls7e_ard_3-2-0_089080_2021-03-24_final
2021-03-28 10:35:07	ga_ls7e_ard_3-2-0_110082_2021-03-28_final
2021-03-31 11:02:59	ga_ls7e_ard_3-2-0_115075_2021-03-31_final
2021-04-02 09:12:46	ga_ls7e_ard_3-2-0_097078_2021-04-01_final
2021-04-09 09:15:59	ga_ls7e_ard_3-2-0_098072_2021-04-08_final
2021-04-16 09:26:22	ga_ls7e_ard_3-2-0_099084_2021-04-15_final
2021-04-24 08:34:39	ga_ls7e_ard_3-2-0_091080_2021-04-23_final
2021-04-27 09:02:29	ga_ls7e_ard_3-2-0_096073_2021-04-26_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-05-08 10:25:31	ga_ls7e_ard_3-2-0_109082_2021-05-08_final
2021-05-10 08:37:18	ga_ls7e_ard_3-2-0_091090_2021-05-09_final
2021-05-13 09:00:22	ga_ls7e_ard_3-2-0_096071_2021-05-12_final
2021-05-16 09:33:48	ga_ls7e_ard_3-2-0_101078_2021-05-16_final
2021-06-07 10:34:56	ga_ls7e_ard_3-2-0_111081_2021-06-07_final
2021-06-08 09:38:50	ga_ls7e_ard_3-2-0_102080_2021-06-08_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-06-16 10:28:25	ga_ls7e_ard_3-2-0_110082_2021-06-16_final
2021-06-17 09:30:20	ga_ls7e_ard_3-2-0_101076_2021-06-17_final
2021-07-02 08:47:25	ga_ls7e_ard_3-2-0_094080_2021-07-01_final
2021-07-04 10:09:23	ga_ls7e_ard_3-2-0_108069_2021-07-04_final
2021-07-12 09:20:28	ga_ls7e_ard_3-2-0_100072_2021-07-11_final
2021-07-12 09:22:03	ga_ls7e_ard_3-2-0_100076_2021-07-11_final
2021-07-25 10:25:43	ga_ls7e_ard_3-2-0_111068_2021-07-25_final
2021-07-30 09:08:32	ga_ls7e_ard_3-2-0_098077_2021-07-29_final
2021-08-03 10:24:20	ga_ls7e_ard_3-2-0_110082_2021-08-03_final
2021-08-08 09:02:46	ga_ls7e_ard_3-2-0_097080_2021-08-07_final
2021-08-10 08:51:49	ga_ls7e_ard_3-2-0_095084_2021-08-09_final
2021-08-11 09:34:11	ga_ls7e_ard_3-2-0_102082_2021-08-11_final
2021-08-14 08:23:57	ga_ls7e_ard_3-2-0_091077_2021-08-13_final
2021-08-21 08:29:07	ga_ls7e_ard_3-2-0_092076_2021-08-20_final
2021-08-21 10:06:48	ga_ls7e_ard_3-2-0_108073_2021-08-21_final
2021-08-28 08:33:54	ga_ls7e_ard_3-2-0_093074_2021-08-27_final
2021-09-08 09:52:53	ga_ls7e_ard_3-2-0_106073_2021-09-08_final
2021-09-13 10:09:47	ga_ls7e_ard_3-2-0_109070_2021-09-13_final
2021-09-15 09:59:38	ga_ls7e_ard_3-2-0_107076_2021-09-15_final
2021-09-16 09:06:43	ga_ls7e_ard_3-2-0_098083_2021-09-15_final
2021-09-20 10:17:44	ga_ls7e_ard_3-2-0_110076_2021-09-20_final
2021-09-23 09:12:16	ga_ls7e_ard_3-2-0_099083_2021-09-22_final
2021-09-25 09:00:32	ga_ls7e_ard_3-2-0_097085_2021-09-24_final
2021-10-03 08:09:11	ga_ls7e_ard_3-2-0_089082_2021-10-02_final
2021-10-04 08:47:34	ga_ls7e_ard_3-2-0_096070_2021-10-03_final
2021-10-13 10:21:28	ga_ls7e_ard_3-2-0_111075_2021-10-13_final
2021-10-24 10:05:08	ga_ls7e_ard_3-2-0_108083_2021-10-24_final
2021-10-29 10:16:50	ga_ls7e_ard_3-2-0_111067_2021-10-29_final
2021-12-02 10:05:36	ga_ls7e_ard_3-2-1_109078_2021-12-02_final
2021-12-04 08:15:23	ga_ls7e_ard_3-2-1_091081_2021-12-03_final
2021-12-05 10:35:26	ga_ls7e_ard_3-2-1_114076_2021-12-05_final
2021-12-11 09:56:11	ga_ls7e_ard_3-2-1_108072_2021-12-11_final
2021-12-14 08:47:31	ga_ls7e_ard_3-2-1_097071_2021-12-13_final
2021-12-23 08:40:52	ga_ls7e_ard_3-2-1_096072_2021-12-22_final
2021-12-29 08:05:59	ga_ls7e_ard_3-2-1_090079_2021-12-28_final
2022-01-02 09:18:08	ga_ls7e_ard_3-2-1_102075_2022-01-01_final
2022-01-06 10:32:17	ga_ls7e_ard_3-2-1_114076_2022-01-06_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-09 09:26:26	ga_ls7e_ard_3-2-1_103082_2022-01-08_final
2022-01-23 09:33:28	ga_ls7e_ard_3-2-1_105072_2022-01-23_final
2022-01-28 08:15:50	ga_ls7e_ard_3-2-1_092080_2022-01-27_final
2022-02-06 08:10:44	ga_ls7e_ard_3-2-1_091085_2022-02-05_final
2022-02-07 08:49:30	ga_ls7e_ard_3-2-1_098074_2022-02-06_final
2022-02-16 10:23:40	ga_ls7e_ard_3-2-1_113080_2022-02-16_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-03-07 09:10:16	ga_ls7e_ard_3-2-1_102071_2022-03-06_final
2022-03-12 07:54:13	ga_ls7e_ard_3-2-1_089083_2022-03-11_final
2022-03-12 07:54:37	ga_ls7e_ard_3-2-1_089084_2022-03-11_final
2022-03-15 09:58:54	ga_ls7e_ard_3-2-1_110071_2022-03-15_final
2022-03-18 10:31:53	ga_ls7e_ard_3-2-1_115077_2022-03-18_final
2022-03-23 09:09:05	ga_ls7e_ard_3-2-1_102072_2022-03-22_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