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
2015-06-09 09:37:13	ga_ls7e_ard_3-0-0_093081_2015-06-09_final
2015-06-25 09:37:14	ga_ls7e_ard_3-0-0_093081_2015-06-25_final
2015-07-27 09:37:23	ga_ls7e_ard_3-0-0_093081_2015-07-27_final
2015-09-13 09:37:33	ga_ls7e_ard_3-0-0_093081_2015-09-13_final
2015-09-29 09:37:36	ga_ls7e_ard_3-0-0_093081_2015-09-29_final
2015-10-15 09:37:50	ga_ls7e_ard_3-0-0_093081_2015-10-15_final
2015-10-31 09:38:04	ga_ls7e_ard_3-0-0_093081_2015-10-31_final
2015-11-16 09:38:22	ga_ls7e_ard_3-0-0_093081_2015-11-16_final
2015-12-02 09:38:33	ga_ls7e_ard_3-0-0_093081_2015-12-02_final
2015-12-18 09:38:51	ga_ls7e_ard_3-0-0_093081_2015-12-18_final
2016-01-03 09:39:04	ga_ls7e_ard_3-0-0_093081_2016-01-03_final
2016-01-19 09:39:19	ga_ls7e_ard_3-0-0_093081_2016-01-19_final
2016-02-04 09:39:28	ga_ls7e_ard_3-0-0_093081_2016-02-04_final
2016-02-20 09:39:30	ga_ls7e_ard_3-0-0_093081_2016-02-20_final
2016-03-07 09:39:39	ga_ls7e_ard_3-0-0_093081_2016-03-07_final
2016-03-23 09:39:46	ga_ls7e_ard_3-0-0_093081_2016-03-23_final
2016-04-08 09:39:50	ga_ls7e_ard_3-0-0_093081_2016-04-08_final
2016-05-10 09:40:02	ga_ls7e_ard_3-0-0_093081_2016-05-10_final
2016-06-11 09:40:10	ga_ls7e_ard_3-0-0_093081_2016-06-11_final
2016-07-13 09:40:11	ga_ls7e_ard_3-0-0_093081_2016-07-13_final
2016-07-29 09:40:14	ga_ls7e_ard_3-0-0_093081_2016-07-29_final
2016-08-14 09:40:15	ga_ls7e_ard_3-0-0_093081_2016-08-14_final
2016-08-30 09:40:19	ga_ls7e_ard_3-0-0_093081_2016-08-30_final
2016-09-15 09:40:21	ga_ls7e_ard_3-0-0_093081_2016-09-15_final
2016-10-01 09:40:23	ga_ls7e_ard_3-0-0_093081_2016-10-01_final
2016-11-02 09:40:17	ga_ls7e_ard_3-0-0_093081_2016-11-02_final
2016-11-18 09:40:10	ga_ls7e_ard_3-0-0_093081_2016-11-18_final
2016-12-04 09:40:08	ga_ls7e_ard_3-0-0_093081_2016-12-04_final
2016-12-20 09:40:02	ga_ls7e_ard_3-0-0_093081_2016-12-20_final
2017-02-06 09:39:37	ga_ls7e_ard_3-0-0_093081_2017-02-06_final
2017-02-22 09:39:39	ga_ls7e_ard_3-0-0_093081_2017-02-22_final
2017-03-10 09:39:47	ga_ls7e_ard_3-0-0_093081_2017-03-10_final
2017-03-26 09:39:51	ga_ls7e_ard_3-0-0_093081_2017-03-26_final
2017-04-11 09:39:57	ga_ls7e_ard_3-0-0_093081_2017-04-11_final
2017-04-27 09:40:03	ga_ls7e_ard_3-0-0_093081_2017-04-27_final
2017-05-13 09:40:07	ga_ls7e_ard_3-0-0_093081_2017-05-13_final
2017-05-29 09:40:10	ga_ls7e_ard_3-0-0_093081_2017-05-29_final
2017-06-14 09:40:15	ga_ls7e_ard_3-0-0_093081_2017-06-14_final
2017-06-30 09:40:17	ga_ls7e_ard_3-0-0_093081_2017-06-30_final
2017-07-16 09:40:18	ga_ls7e_ard_3-0-0_093081_2017-07-16_final
2017-08-01 09:40:16	ga_ls7e_ard_3-0-0_093081_2017-08-01_final
2017-08-17 09:40:14	ga_ls7e_ard_3-0-0_093081_2017-08-17_final
2017-09-02 09:40:15	ga_ls7e_ard_3-0-0_093081_2017-09-02_final
2017-09-18 09:40:12	ga_ls7e_ard_3-0-0_093081_2017-09-18_final
2017-11-05 09:40:16	ga_ls7e_ard_3-0-0_093081_2017-11-05_final
2017-11-21 09:40:12	ga_ls7e_ard_3-0-0_093081_2017-11-21_final
2017-12-07 09:40:05	ga_ls7e_ard_3-0-0_093081_2017-12-07_final
2017-12-23 09:39:55	ga_ls7e_ard_3-0-0_093081_2017-12-23_final
2018-01-08 09:39:42	ga_ls7e_ard_3-0-0_093081_2018-01-08_final
2018-01-24 09:39:28	ga_ls7e_ard_3-0-0_093081_2018-01-24_final
2018-02-09 09:39:12	ga_ls7e_ard_3-0-0_093081_2018-02-09_final
2018-02-25 09:39:03	ga_ls7e_ard_3-0-0_093081_2018-02-25_final
2018-03-13 09:38:52	ga_ls7e_ard_3-0-0_093081_2018-03-13_final
2018-03-29 09:38:39	ga_ls7e_ard_3-0-0_093081_2018-03-29_final
2018-04-14 09:38:24	ga_ls7e_ard_3-0-0_093081_2018-04-14_final
2018-04-30 09:38:07	ga_ls7e_ard_3-0-0_093081_2018-04-30_final
2018-06-01 09:37:35	ga_ls7e_ard_3-0-0_093081_2018-06-01_final
2018-06-17 09:37:18	ga_ls7e_ard_3-0-0_093081_2018-06-17_final
2018-07-03 09:37:00	ga_ls7e_ard_3-0-0_093081_2018-07-03_final
2018-07-19 09:36:42	ga_ls7e_ard_3-0-0_093081_2018-07-19_final
2018-08-04 09:36:25	ga_ls7e_ard_3-0-0_093081_2018-08-04_final
2018-08-20 09:36:06	ga_ls7e_ard_3-0-0_093081_2018-08-20_final
2018-09-05 09:35:47	ga_ls7e_ard_3-0-0_093081_2018-09-05_final
2018-09-21 09:35:25	ga_ls7e_ard_3-0-0_093081_2018-09-21_final
2018-10-23 09:34:40	ga_ls7e_ard_3-0-0_093081_2018-10-23_final
2018-11-08 09:34:19	ga_ls7e_ard_3-0-0_093081_2018-11-08_final
2019-01-11 09:32:33	ga_ls7e_ard_3-0-0_093081_2019-01-11_final
2019-01-27 09:32:02	ga_ls7e_ard_3-0-0_093081_2019-01-27_final
2019-02-12 09:31:34	ga_ls7e_ard_3-0-0_093081_2019-02-12_final
2019-02-28 09:31:04	ga_ls7e_ard_3-1-0_093081_2019-02-28_final
2019-06-04 09:27:39	ga_ls7e_ard_3-0-0_093081_2019-06-03_final
2019-06-20 09:27:04	ga_ls7e_ard_3-0-0_093081_2019-06-19_final
2020-11-29 08:58:33	ga_ls7e_ard_3-1-0_093081_2020-11-28_final
2020-12-15 08:57:21	ga_ls7e_ard_3-1-0_093081_2020-12-14_final
2020-12-31 08:56:12	ga_ls7e_ard_3-1-0_093081_2020-12-30_final
2021-01-16 08:55:04	ga_ls7e_ard_3-1-0_093081_2021-01-15_final
2021-02-01 08:53:55	ga_ls7e_ard_3-2-0_093081_2021-01-31_final
2021-02-17 08:52:43	ga_ls7e_ard_3-2-0_093081_2021-02-16_final
2021-03-05 08:51:29	ga_ls7e_ard_3-2-0_093081_2021-03-04_final
2021-04-06 08:48:55	ga_ls7e_ard_3-2-0_093081_2021-04-05_final
2021-04-22 08:47:34	ga_ls7e_ard_3-2-0_093081_2021-04-21_final
2021-05-08 08:46:14	ga_ls7e_ard_3-2-0_093081_2021-05-07_final
2021-05-24 08:44:53	ga_ls7e_ard_3-2-0_093081_2021-05-23_final
2021-06-09 08:43:32	ga_ls7e_ard_3-2-0_093081_2021-06-08_final
2021-06-25 08:42:13	ga_ls7e_ard_3-2-0_093081_2021-06-24_final
2021-07-11 08:40:53	ga_ls7e_ard_3-2-0_093081_2021-07-10_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-08-12 08:38:05	ga_ls7e_ard_3-2-0_093081_2021-08-11_final
2021-08-28 08:36:41	ga_ls7e_ard_3-2-0_093081_2021-08-27_final
2021-09-13 08:35:17	ga_ls7e_ard_3-2-0_093081_2021-09-12_final
2021-09-29 08:33:51	ga_ls7e_ard_3-2-0_093081_2021-09-28_final
2021-10-15 08:32:27	ga_ls7e_ard_3-2-0_093081_2021-10-14_final
2021-10-31 08:30:59	ga_ls7e_ard_3-2-0_093081_2021-10-30_final
2021-11-16 08:29:27	ga_ls7e_ard_3-2-1_093081_2021-11-15_final
2021-12-02 08:27:56	ga_ls7e_ard_3-2-1_093081_2021-12-01_final
2021-12-18 08:26:24	ga_ls7e_ard_3-2-1_093081_2021-12-17_final
2022-01-03 08:24:48	ga_ls7e_ard_3-2-1_093081_2022-01-02_final
2022-02-04 08:21:43	ga_ls7e_ard_3-2-1_093081_2022-02-03_final
2022-02-20 08:20:05	ga_ls7e_ard_3-2-1_093081_2022-02-19_final
2022-03-08 08:18:33	ga_ls7e_ard_3-2-1_093081_2022-03-07_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