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
2006-06-18 09:16:51	ga_ls7e_ard_3-0-0_091085_2006-06-17_final
2006-06-18 09:17:15	ga_ls7e_ard_3-1-0_091086_2006-06-17_final
2006-06-19 10:00:07	ga_ls7e_ard_3-0-0_098085_2006-06-19_final
2006-06-20 09:04:29	ga_ls7e_ard_3-0-0_089085_2006-06-19_final
2006-06-20 09:04:53	ga_ls7e_ard_3-0-0_089086_2006-06-19_final
2006-07-11 09:22:53	ga_ls7e_ard_3-0-0_092085_2006-07-10_final
2006-07-11 09:23:17	ga_ls7e_ard_3-0-0_092086_2006-07-10_final
2006-07-13 09:10:30	ga_ls7e_ard_3-0-0_090085_2006-07-12_final
2006-07-13 09:10:54	ga_ls7e_ard_3-0-0_090086_2006-07-12_final
2006-08-06 09:59:49	ga_ls7e_ard_3-0-0_098085_2006-08-06_final
2006-08-07 09:04:12	ga_ls7e_ard_3-0-0_089085_2006-08-06_final
2006-08-07 09:04:36	ga_ls7e_ard_3-0-0_089086_2006-08-06_final
2006-08-08 09:47:27	ga_ls7e_ard_3-0-0_096085_2006-08-08_final
2006-08-08 09:47:51	ga_ls7e_ard_3-1-0_096086_2006-08-08_final
2006-11-05 09:41:24	ga_ls7e_ard_3-0-0_095085_2006-11-05_final
2006-11-05 09:41:48	ga_ls7e_ard_3-0-0_095086_2006-11-05_final
2006-11-07 09:29:04	ga_ls7e_ard_3-0-0_093085_2006-11-06_final
2006-11-18 09:10:39	ga_ls7e_ard_3-1-0_090085_2006-11-17_final
2006-11-18 09:11:03	ga_ls7e_ard_3-0-0_090086_2006-11-17_final
2006-11-19 09:53:55	ga_ls7e_ard_3-0-0_097085_2006-11-19_final
2014-04-22 10:07:18	ga_ls7e_ard_3-0-0_098085_2014-04-22_final
2014-04-23 09:11:41	ga_ls7e_ard_3-0-0_089085_2014-04-22_final
2014-04-24 09:54:58	ga_ls7e_ard_3-0-0_096085_2014-04-24_final
2014-04-24 09:55:21	ga_ls7e_ard_3-1-0_096086_2014-04-24_final
2014-06-09 10:07:32	ga_ls7e_ard_3-0-0_098085_2014-06-09_final
2014-06-10 09:11:55	ga_ls7e_ard_3-0-0_089085_2014-06-09_final
2014-06-10 09:12:19	ga_ls7e_ard_3-0-0_089086_2014-06-09_final
2014-06-11 09:55:11	ga_ls7e_ard_3-0-0_096085_2014-06-11_final
2014-07-27 10:07:44	ga_ls7e_ard_3-0-0_098085_2014-07-27_final
2014-07-28 09:12:07	ga_ls7e_ard_3-0-0_089085_2014-07-27_final
2014-07-28 09:12:31	ga_ls7e_ard_3-0-0_089086_2014-07-27_final
2014-07-31 09:43:03	ga_ls7e_ard_3-0-0_094085_2014-07-31_final
2014-07-31 09:43:27	ga_ls7e_ard_3-0-0_094086_2014-07-31_final
2014-08-02 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-02_final
2014-08-02 09:31:05	ga_ls7e_ard_3-0-0_092086_2014-08-02_final
2014-08-20 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-08-19_final
2014-08-20 09:18:43	ga_ls7e_ard_3-0-0_090086_2014-08-19_final
2014-08-21 10:01:35	ga_ls7e_ard_3-0-0_097085_2014-08-21_final
2014-08-23 09:49:13	ga_ls7e_ard_3-0-0_095085_2014-08-23_final
2014-08-25 09:36:51	ga_ls7e_ard_3-0-0_093085_2014-08-25_final
2014-08-27 09:24:28	ga_ls7e_ard_3-0-0_091085_2014-08-26_final
2014-08-27 09:24:52	ga_ls7e_ard_3-1-0_091086_2014-08-26_final
2014-11-01 09:12:40	ga_ls7e_ard_3-0-0_089085_2014-10-31_final
2018-05-30 09:51:35	ga_ls7e_ard_3-0-0_095085_2018-05-30_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-06-01 09:39:11	ga_ls7e_ard_3-0-0_093085_2018-06-01_final
2018-06-01 09:39:35	ga_ls7e_ard_3-0-0_093086_2018-06-01_final
2018-06-15 09:51:18	ga_ls7e_ard_3-0-0_095085_2018-06-15_final
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-06-17 09:38:54	ga_ls7e_ard_3-0-0_093085_2018-06-17_final
2018-06-19 09:26:30	ga_ls7e_ard_3-0-0_091085_2018-06-18_final
2018-06-19 09:26:54	ga_ls7e_ard_3-1-0_091086_2018-06-18_final
2018-06-20 10:09:45	ga_ls7e_ard_3-0-0_098085_2018-06-20_final
2018-09-21 09:37:01	ga_ls7e_ard_3-0-0_093085_2018-09-21_final
2018-09-21 09:37:25	ga_ls7e_ard_3-0-0_093086_2018-09-21_final
2018-12-31 09:53:02	ga_ls7e_ard_3-0-0_096085_2018-12-31_final
2018-12-31 09:53:26	ga_ls7e_ard_3-1-0_096086_2018-12-31_final
2019-01-02 09:40:37	ga_ls7e_ard_3-0-0_094085_2019-01-02_final
2019-01-02 09:41:01	ga_ls7e_ard_3-0-0_094086_2019-01-02_final
2019-02-24 09:57:31	ga_ls7e_ard_3-1-0_097085_2019-02-24_final
2019-02-26 09:45:05	ga_ls7e_ard_3-1-0_095085_2019-02-26_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-03-03 10:03:28	ga_ls7e_ard_3-1-0_098085_2019-03-03_final
2019-03-04 09:07:49	ga_ls7e_ard_3-1-0_089085_2019-03-03_final
2019-03-04 09:08:13	ga_ls7e_ard_3-1-0_089086_2019-03-03_final
2019-03-05 09:51:03	ga_ls7e_ard_3-1-0_096085_2019-03-05_final
2019-03-14 09:44:35	ga_ls7e_ard_3-1-0_095085_2019-03-14_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-03-21 09:50:32	ga_ls7e_ard_3-1-0_096085_2019-03-21_final
2019-03-23 09:38:06	ga_ls7e_ard_3-1-0_094085_2019-03-23_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-03-30 09:44:02	ga_ls7e_ard_3-0-0_095085_2019-03-30_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-04-01 09:31:37	ga_ls7e_ard_3-0-0_093085_2019-04-01_final
2019-04-01 09:32:01	ga_ls7e_ard_3-0-0_093086_2019-04-01_final
2019-05-17 09:42:16	ga_ls7e_ard_3-0-0_095085_2019-05-17_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-05-19 09:30:13	ga_ls7e_ard_3-0-0_093086_2019-05-19_final
2019-06-06 09:16:49	ga_ls7e_ard_3-0-0_091085_2019-06-05_final
2019-06-06 09:17:13	ga_ls7e_ard_3-1-0_091086_2019-06-05_final
2019-06-07 10:00:02	ga_ls7e_ard_3-0-0_098085_2019-06-07_final
2019-06-08 09:04:23	ga_ls7e_ard_3-0-0_089085_2019-06-07_final
2019-06-08 09:04:47	ga_ls7e_ard_3-0-0_089086_2019-06-07_final
2019-07-04 09:40:30	ga_ls7e_ard_3-0-0_095085_2019-07-04_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-06 09:28:04	ga_ls7e_ard_3-0-0_093085_2019-07-05_final
2019-07-06 09:28:28	ga_ls7e_ard_3-0-0_093086_2019-07-05_final
2019-09-17 09:18:51	ga_ls7e_ard_3-1-0_092085_2019-09-16_final
2019-09-17 09:19:15	ga_ls7e_ard_3-1-0_092086_2019-09-16_final
2019-10-12 09:11:37	ga_ls7e_ard_3-1-0_091085_2019-10-11_final
2019-10-12 09:12:01	ga_ls7e_ard_3-1-0_091086_2019-10-11_final
2019-12-18 09:39:24	ga_ls7e_ard_3-1-0_096085_2019-12-18_final
2019-12-18 09:39:48	ga_ls7e_ard_3-1-0_096086_2019-12-18_final
2019-12-20 09:26:56	ga_ls7e_ard_3-1-0_094085_2019-12-19_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-22 09:14:28	ga_ls7e_ard_3-1-0_092085_2019-12-21_final
2019-12-22 09:14:52	ga_ls7e_ard_3-1-0_092086_2019-12-21_final
2020-02-10 08:59:35	ga_ls7e_ard_3-1-0_090085_2020-02-09_final
2020-02-13 09:30:19	ga_ls7e_ard_3-1-0_095085_2020-02-13_final
2020-02-13 09:30:43	ga_ls7e_ard_3-1-0_095086_2020-02-13_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