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
2000-09-10 09:28:56	ga_ls7e_ard_3-1-0_094067_2000-09-09_final
2000-12-08 09:30:22	ga_ls7e_ard_3-1-0_093087_2000-12-08_final
2003-08-12 10:09:42	ga_ls7e_ard_3-1-0_100082_2003-08-12_final
2005-01-09 11:25:39	ga_ls7e_ard_3-1-0_112084_2005-01-09_final
2005-04-10 09:30:02	ga_ls7e_ard_3-1-0_093088_2005-04-10_final
2005-11-11 09:30:04	ga_ls7e_ard_3-1-0_094073_2005-11-11_final
2005-11-20 09:29:33	ga_ls7e_ard_3-1-0_093087_2005-11-19_final
2005-12-06 11:06:07	ga_ls7e_ard_3-1-0_109081_2005-12-06_final
2007-03-20 11:26:47	ga_ls7e_ard_3-1-0_112084_2007-03-20_final
2007-06-03 11:06:46	ga_ls7e_ard_3-1-0_109081_2007-06-03_final
2008-05-30 10:05:48	ga_ls7e_ard_3-1-0_099084_2008-05-30_final
2008-07-02 09:11:27	ga_ls7e_ard_3-1-0_090088_2008-07-01_final
2009-11-15 11:07:08	ga_ls7e_ard_3-1-0_109081_2009-11-15_final
2010-01-02 09:31:20	ga_ls7e_ard_3-1-0_093087_2010-01-02_final
2011-10-20 09:33:21	ga_ls7e_ard_3-1-0_093087_2011-10-20_final
2012-01-24 11:10:30	ga_ls7e_ard_3-1-0_109081_2012-01-24_final
2012-02-04 09:14:46	ga_ls7e_ard_3-1-0_090085_2012-02-03_final
2013-02-05 10:12:32	ga_ls7e_ard_3-1-0_099085_2013-02-05_final
2013-04-16 09:36:01	ga_ls7e_ard_3-1-0_093087_2013-04-16_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2019-03-01 10:15:06	ga_ls7e_ard_3-1-0_100083_2019-03-01_final
2019-08-25 10:46:34	ga_ls7e_ard_3-1-0_107070_2019-08-25_final
2019-09-03 09:08:42	ga_ls7e_ard_3-1-0_090089_2019-09-02_final
2019-10-04 09:54:12	ga_ls7e_ard_3-1-0_099067_2019-10-04_final
2019-10-10 10:58:09	ga_ls7e_ard_3-1-0_109073_2019-10-10_final
2019-10-26 09:23:22	ga_ls7e_ard_3-1-0_093085_2019-10-25_final
2019-11-16 11:16:15	ga_ls7e_ard_3-1-0_112076_2019-11-16_final
2019-11-22 09:03:36	ga_ls7e_ard_3-1-0_090085_2019-11-21_final
2019-11-27 09:17:31	ga_ls7e_ard_3-1-0_093074_2019-11-26_final
2019-11-28 10:04:43	ga_ls7e_ard_3-1-0_100084_2019-11-28_final
2019-12-17 08:54:35	ga_ls7e_ard_3-1-0_089081_2019-12-16_final
2020-01-20 10:19:47	ga_ls7e_ard_3-1-0_103082_2020-01-20_final
2020-02-20 11:14:37	ga_ls7e_ard_3-1-0_112084_2020-02-20_final
2020-03-07 11:09:46	ga_ls7e_ard_3-1-0_112074_2020-03-07_final
2020-03-09 10:55:43	ga_ls7e_ard_3-1-0_110070_2020-03-09_final
2020-03-30 11:14:41	ga_ls7e_ard_3-1-0_113074_2020-03-30_final
2020-04-10 10:57:54	ga_ls7e_ard_3-1-0_110080_2020-04-10_final
2020-04-19 10:47:37	ga_ls7e_ard_3-1-0_109071_2020-04-19_final
2020-08-20 10:26:00	ga_ls7e_ard_3-1-0_106082_2020-08-20_final
2020-08-21 09:29:31	ga_ls7e_ard_3-1-0_097080_2020-08-20_final
2020-08-25 10:45:01	ga_ls7e_ard_3-1-0_109084_2020-08-25_final
2020-08-29 10:16:26	ga_ls7e_ard_3-1-0_105075_2020-08-29_final
2020-08-31 10:06:21	ga_ls7e_ard_3-1-0_103081_2020-08-31_final
2020-09-03 10:32:40	ga_ls7e_ard_3-1-0_108070_2020-09-03_final
2020-09-03 10:33:51	ga_ls7e_ard_3-1-0_108073_2020-09-03_final
2020-09-26 10:38:31	ga_ls7e_ard_3-1-0_109073_2020-09-26_final
2020-09-27 09:47:14	ga_ls7e_ard_3-1-0_100084_2020-09-27_final
2020-10-05 08:56:29	ga_ls7e_ard_3-1-0_092082_2020-10-04_final
2020-10-15 09:30:55	ga_ls7e_ard_3-1-0_098077_2020-10-15_final
2020-11-06 10:33:15	ga_ls7e_ard_3-1-0_108082_2020-11-06_final
2020-11-08 08:43:05	ga_ls7e_ard_3-1-0_090085_2020-11-07_final
2020-11-09 11:01:10	ga_ls7e_ard_3-1-0_113075_2020-11-09_final
2020-11-13 10:35:22	ga_ls7e_ard_3-1-0_109073_2020-11-13_final
2020-11-14 09:44:04	ga_ls7e_ard_3-1-0_100084_2020-11-14_final
2020-11-19 10:00:39	ga_ls7e_ard_3-1-0_103080_2020-11-19_final
2020-11-22 08:50:28	ga_ls7e_ard_3-1-0_092075_2020-11-21_final
2020-11-22 08:53:16	ga_ls7e_ard_3-1-0_092082_2020-11-21_final
2020-11-23 11:12:32	ga_ls7e_ard_3-1-0_115075_2020-11-23_final
2020-11-24 10:15:15	ga_ls7e_ard_3-1-0_106071_2020-11-24_final
2020-11-24 10:16:03	ga_ls7e_ard_3-1-0_106073_2020-11-24_final
2020-12-01 08:48:02	ga_ls7e_ard_3-1-0_091086_2020-11-30_final
2020-12-06 10:41:29	ga_ls7e_ard_3-1-0_110077_2020-12-06_final
2020-12-09 11:10:58	ga_ls7e_ard_3-1-0_115074_2020-12-09_final
2020-12-18 11:04:30	ga_ls7e_ard_3-1-0_114075_2020-12-18_final
2020-12-19 08:34:19	ga_ls7e_ard_3-1-0_089086_2020-12-18_final
2020-12-20 10:51:59	ga_ls7e_ard_3-1-0_112075_2020-12-20_final
2020-12-21 09:55:30	ga_ls7e_ard_3-1-0_103073_2020-12-21_final
2020-12-22 10:43:04	ga_ls7e_ard_3-1-0_110084_2020-12-22_final
2021-01-12 09:21:16	ga_ls7e_ard_3-1-0_097084_2021-01-11_final
2021-01-20 08:31:40	ga_ls7e_ard_3-2-0_089085_2021-01-19_final
2021-01-23 10:40:50	ga_ls7e_ard_3-2-0_110084_2021-01-23_final
2021-01-28 09:17:44	ga_ls7e_ard_3-2-0_097078_2021-01-27_final
2021-02-06 09:10:53	ga_ls7e_ard_3-2-0_096078_2021-02-05_final
2021-02-13 09:18:56	ga_ls7e_ard_3-2-0_097084_2021-02-12_final
2021-02-24 10:35:39	ga_ls7e_ard_3-2-0_110077_2021-02-24_final
2021-03-05 08:53:05	ga_ls7e_ard_3-2-0_093085_2021-03-04_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-17 09:14:04	ga_ls7e_ard_3-2-0_097078_2021-03-16_final
2021-12-18 10:02:05	ga_ls7e_ard_3-2-1_109073_2021-12-18_final
2021-12-19 09:07:34	ga_ls7e_ard_3-2-1_100076_2021-12-18_final
2021-12-20 09:53:55	ga_ls7e_ard_3-2-1_107084_2021-12-20_final
2021-12-26 09:15:51	ga_ls7e_ard_3-2-1_101083_2021-12-25_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2021-12-30 10:26:25	ga_ls7e_ard_3-2-1_113075_2021-12-30_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-03 10:04:29	ga_ls7e_ard_3-2-1_109083_2022-01-03_final
2022-01-08 10:22:32	ga_ls7e_ard_3-2-1_112083_2022-01-08_final
2022-01-10 10:05:12	ga_ls7e_ard_3-2-1_110071_2022-01-10_final
2022-01-17 10:12:19	ga_ls7e_ard_3-2-1_111075_2022-01-17_final
2022-01-23 07:57:47	ga_ls7e_ard_3-2-1_089080_2022-01-22_final
2022-01-26 10:04:04	ga_ls7e_ard_3-2-1_110072_2022-01-26_final
2022-01-26 10:05:40	ga_ls7e_ard_3-2-1_110076_2022-01-26_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-03-05 09:21:38	ga_ls7e_ard_3-2-1_104068_2022-03-04_final
2022-03-08 09:55:25	ga_ls7e_ard_3-2-1_109076_2022-03-08_final
2022-03-10 09:41:16	ga_ls7e_ard_3-2-1_107072_2022-03-10_final
2022-03-13 10:12:40	ga_ls7e_ard_3-2-1_112074_2022-03-13_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_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