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
2010-02-21 09:18:26	ga_ls7e_ard_3-0-0_091084_2010-02-20_final
2010-02-21 09:18:50	ga_ls7e_ard_3-0-0_091085_2010-02-20_final
2010-02-22 10:02:06	ga_ls7e_ard_3-0-0_098085_2010-02-22_final
2015-08-26 11:29:55	ga_ls7e_ard_3-0-0_111084_2015-08-26_final
2015-08-28 09:38:40	ga_ls7e_ard_3-0-0_093084_2015-08-28_final
2015-08-28 09:39:04	ga_ls7e_ard_3-0-0_093085_2015-08-28_final
2015-09-11 09:51:30	ga_ls7e_ard_3-0-0_095085_2015-09-11_final
2015-09-13 09:38:45	ga_ls7e_ard_3-0-0_093084_2015-09-13_final
2015-09-13 09:39:09	ga_ls7e_ard_3-0-0_093085_2015-09-13_final
2015-09-13 11:17:38	ga_ls7e_ard_3-0-0_109084_2015-09-13_final
2015-09-15 09:26:48	ga_ls7e_ard_3-0-0_091085_2015-09-14_final
2015-09-16 10:09:40	ga_ls7e_ard_3-0-0_098084_2015-09-16_final
2015-09-16 10:10:04	ga_ls7e_ard_3-0-0_098085_2015-09-16_final
2015-09-17 09:14:03	ga_ls7e_ard_3-0-0_089084_2015-09-16_final
2015-09-17 09:14:27	ga_ls7e_ard_3-0-0_089085_2015-09-16_final
2015-09-18 11:36:12	ga_ls7e_ard_3-0-0_112084_2015-09-18_final
2015-10-13 09:51:21	ga_ls7e_ard_3-0-0_095084_2015-10-13_final
2015-10-13 09:51:45	ga_ls7e_ard_3-0-0_095085_2015-10-13_final
2015-10-15 09:39:26	ga_ls7e_ard_3-0-0_093085_2015-10-15_final
2015-10-15 11:17:55	ga_ls7e_ard_3-0-0_109084_2015-10-15_final
2015-10-17 09:26:42	ga_ls7e_ard_3-0-0_091084_2015-10-16_final
2015-11-17 10:22:50	ga_ls7e_ard_3-0-0_100084_2015-11-17_final
2015-11-18 09:27:14	ga_ls7e_ard_3-0-0_091084_2015-11-17_final
2015-11-18 09:27:38	ga_ls7e_ard_3-0-0_091085_2015-11-17_final
2015-11-19 10:10:54	ga_ls7e_ard_3-0-0_098085_2015-11-19_final
2015-11-20 09:15:18	ga_ls7e_ard_3-0-0_089085_2015-11-19_final
2015-12-05 10:11:07	ga_ls7e_ard_3-0-0_098085_2015-12-05_final
2015-12-06 09:15:31	ga_ls7e_ard_3-0-0_089085_2015-12-05_final
2016-01-17 09:52:51	ga_ls7e_ard_3-0-0_095084_2016-01-17_final
2016-01-17 09:53:15	ga_ls7e_ard_3-0-0_095085_2016-01-17_final
2016-01-19 09:40:55	ga_ls7e_ard_3-0-0_093085_2016-01-19_final
2016-01-21 09:28:34	ga_ls7e_ard_3-0-0_091085_2016-01-20_final
2016-01-22 10:11:51	ga_ls7e_ard_3-0-0_098085_2016-01-22_final
2016-01-23 09:16:14	ga_ls7e_ard_3-0-0_089085_2016-01-22_final
2016-01-24 09:59:06	ga_ls7e_ard_3-0-0_096084_2016-01-24_final
2016-01-24 09:59:30	ga_ls7e_ard_3-0-0_096085_2016-01-24_final
2016-01-24 11:37:59	ga_ls7e_ard_3-0-0_112084_2016-01-24_final
2016-03-14 09:47:30	ga_ls7e_ard_3-0-0_094085_2016-03-14_final
2016-03-14 11:25:59	ga_ls7e_ard_3-0-0_110084_2016-03-14_final
2016-03-16 09:34:45	ga_ls7e_ard_3-0-0_092084_2016-03-16_final
2016-03-16 09:35:09	ga_ls7e_ard_3-0-0_092085_2016-03-16_final
2016-03-17 10:18:01	ga_ls7e_ard_3-0-0_099084_2016-03-17_final
2016-03-19 10:05:40	ga_ls7e_ard_3-0-0_097084_2016-03-19_final
2016-03-19 10:06:04	ga_ls7e_ard_3-0-0_097085_2016-03-19_final
2016-03-19 11:44:33	ga_ls7e_ard_3-0-0_113084_2016-03-19_final
2016-03-21 09:53:19	ga_ls7e_ard_3-0-0_095084_2016-03-21_final
2016-03-21 09:53:43	ga_ls7e_ard_3-0-0_095085_2016-03-21_final
2016-03-21 11:32:12	ga_ls7e_ard_3-0-0_111084_2016-03-21_final
2016-03-23 09:41:22	ga_ls7e_ard_3-0-0_093085_2016-03-23_final
2019-06-24 09:03:24	ga_ls7e_ard_3-0-0_089084_2019-06-23_final
2019-06-25 09:46:37	ga_ls7e_ard_3-0-0_096084_2019-06-25_final
2019-06-25 09:47:01	ga_ls7e_ard_3-0-0_096085_2019-06-25_final
2019-06-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2019-06-25_final
2019-06-27 09:34:11	ga_ls7e_ard_3-0-0_094084_2019-06-27_final
2019-06-27 09:34:35	ga_ls7e_ard_3-0-0_094085_2019-06-27_final
2019-06-27 11:13:04	ga_ls7e_ard_3-0-0_110084_2019-06-27_final
2019-06-29 09:21:45	ga_ls7e_ard_3-0-0_092084_2019-06-28_final
2019-06-29 11:00:38	ga_ls7e_ard_3-0-0_108084_2019-06-29_final
2019-06-30 10:04:58	ga_ls7e_ard_3-0-0_099084_2019-06-30_final
2019-07-01 09:09:19	ga_ls7e_ard_3-0-0_090084_2019-06-30_final
2019-07-01 09:09:43	ga_ls7e_ard_3-1-0_090085_2019-06-30_final
2019-08-23 09:25:43	ga_ls7e_ard_3-0-0_093084_2019-08-22_final
2019-08-23 09:26:07	ga_ls7e_ard_3-0-0_093085_2019-08-22_final
2019-08-25 09:13:16	ga_ls7e_ard_3-1-0_091084_2019-08-24_final
2019-08-25 09:13:40	ga_ls7e_ard_3-1-0_091085_2019-08-24_final
2019-08-25 10:52:09	ga_ls7e_ard_3-1-0_107084_2019-08-25_final
2019-09-11 09:55:48	ga_ls7e_ard_3-1-0_098084_2019-09-11_final
2019-09-11 09:56:12	ga_ls7e_ard_3-1-0_098085_2019-09-11_final
2019-09-12 09:00:08	ga_ls7e_ard_3-1-0_089084_2019-09-11_final
2019-09-12 09:00:32	ga_ls7e_ard_3-1-0_089085_2019-09-11_final
2019-09-13 09:43:21	ga_ls7e_ard_3-1-0_096084_2019-09-13_final
2019-09-13 11:22:14	ga_ls7e_ard_3-1-0_112084_2019-09-13_final
2021-10-19 08:08:34	ga_ls7e_ard_3-2-0_089084_2021-10-18_final
2021-10-20 08:51:44	ga_ls7e_ard_3-2-0_096084_2021-10-19_final
2021-10-20 08:52:08	ga_ls7e_ard_3-2-0_096085_2021-10-19_final
2021-10-22 08:39:12	ga_ls7e_ard_3-2-0_094084_2021-10-21_final
2021-10-22 08:39:36	ga_ls7e_ard_3-2-0_094085_2021-10-21_final
2021-10-22 10:18:04	ga_ls7e_ard_3-2-0_110084_2021-10-22_final
2021-10-24 08:26:39	ga_ls7e_ard_3-2-0_092084_2021-10-23_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-10-24 10:05:32	ga_ls7e_ard_3-2-0_108084_2021-10-24_final
2021-10-25 09:09:49	ga_ls7e_ard_3-2-0_099084_2021-10-24_final
2021-10-26 08:14:07	ga_ls7e_ard_3-2-0_090084_2021-10-25_final
2021-10-26 08:14:31	ga_ls7e_ard_3-2-0_090085_2021-10-25_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
2021-10-27 10:36:09	ga_ls7e_ard_3-2-0_113084_2021-10-27_final
2021-10-29 08:44:44	ga_ls7e_ard_3-2-0_095084_2021-10-28_final
2021-10-31 08:32:11	ga_ls7e_ard_3-2-0_093084_2021-10-30_final
2021-10-31 08:32:35	ga_ls7e_ard_3-2-0_093085_2021-10-30_final
2021-10-31 10:11:04	ga_ls7e_ard_3-2-0_109084_2021-10-31_final
2021-11-01 09:15:21	ga_ls7e_ard_3-2-0_100084_2021-10-31_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-02 08:20:02	ga_ls7e_ard_3-2-0_091085_2021-11-01_final
2021-11-02 09:58:31	ga_ls7e_ard_3-2-0_107084_2021-11-02_final
2021-11-03 09:02:48	ga_ls7e_ard_3-2-0_098084_2021-11-02_final
2021-11-03 09:03:12	ga_ls7e_ard_3-2-0_098085_2021-11-02_final
2021-11-05 08:50:15	ga_ls7e_ard_3-2-0_096084_2021-11-04_final
2021-11-05 08:50:39	ga_ls7e_ard_3-2-0_096085_2021-11-04_final
2021-11-07 08:37:42	ga_ls7e_ard_3-2-0_094084_2021-11-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years