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
2015-02-12 09:20:33	ga_ls7e_ard_3-0-0_090088_2015-02-11_final
2015-02-28 09:20:44	ga_ls7e_ard_3-0-0_090088_2015-02-27_final
2015-03-16 09:20:51	ga_ls7e_ard_3-0-0_090088_2015-03-15_final
2015-04-01 09:20:57	ga_ls7e_ard_3-0-0_090088_2015-03-31_final
2015-04-17 09:21:07	ga_ls7e_ard_3-0-0_090088_2015-04-16_final
2015-05-03 09:21:12	ga_ls7e_ard_3-0-0_090088_2015-05-02_final
2015-05-19 09:21:21	ga_ls7e_ard_3-0-0_090088_2015-05-18_final
2015-06-04 09:21:26	ga_ls7e_ard_3-0-0_090088_2015-06-03_final
2015-06-20 09:21:30	ga_ls7e_ard_3-0-0_090088_2015-06-19_final
2015-08-07 09:21:42	ga_ls7e_ard_3-0-0_090088_2015-08-06_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2015-09-08 09:21:46	ga_ls7e_ard_3-0-0_090088_2015-09-07_final
2015-09-24 09:21:51	ga_ls7e_ard_3-0-0_090088_2015-09-23_final
2015-10-10 09:21:59	ga_ls7e_ard_3-0-0_090088_2015-10-09_final
2015-12-13 09:23:02	ga_ls7e_ard_3-0-0_090088_2015-12-12_final
2015-12-29 09:23:14	ga_ls7e_ard_3-0-0_090088_2015-12-28_final
2016-02-15 09:23:46	ga_ls7e_ard_3-0-0_090088_2016-02-14_final
2016-03-02 09:23:51	ga_ls7e_ard_3-0-0_090088_2016-03-01_final
2016-04-03 09:24:03	ga_ls7e_ard_3-0-0_090088_2016-04-02_final
2016-04-19 09:24:11	ga_ls7e_ard_3-0-0_090088_2016-04-18_final
2016-05-05 09:24:16	ga_ls7e_ard_3-0-0_090088_2016-05-04_final
2016-05-21 09:24:19	ga_ls7e_ard_3-0-0_090088_2016-05-20_final
2016-06-22 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-06-21_final
2016-07-08 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-07-07_final
2016-07-24 09:24:29	ga_ls7e_ard_3-0-0_090088_2016-07-23_final
2016-08-09 09:24:31	ga_ls7e_ard_3-0-0_090088_2016-08-08_final
2016-08-25 09:24:33	ga_ls7e_ard_3-0-0_090088_2016-08-24_final
2016-09-26 09:24:38	ga_ls7e_ard_3-0-0_090088_2016-09-25_final
2016-10-12 09:24:38	ga_ls7e_ard_3-0-0_090088_2016-10-11_final
2016-10-28 09:24:35	ga_ls7e_ard_3-0-0_090088_2016-10-27_final
2016-11-13 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-11-12_final
2016-11-29 09:24:24	ga_ls7e_ard_3-0-0_090088_2016-11-28_final
2016-12-15 09:24:20	ga_ls7e_ard_3-0-0_090088_2016-12-14_final
2016-12-31 09:24:12	ga_ls7e_ard_3-0-0_090088_2016-12-30_final
2017-01-16 09:24:01	ga_ls7e_ard_3-0-0_090088_2017-01-15_final
2017-02-01 09:23:53	ga_ls7e_ard_3-0-0_090088_2017-01-31_final
2017-02-17 09:23:52	ga_ls7e_ard_3-0-0_090088_2017-02-16_final
2017-03-05 09:24:00	ga_ls7e_ard_3-0-0_090088_2017-03-04_final
2017-03-21 09:24:05	ga_ls7e_ard_3-0-0_090088_2017-03-20_final
2017-04-06 09:24:09	ga_ls7e_ard_3-0-0_090088_2017-04-05_final
2017-05-08 09:24:21	ga_ls7e_ard_3-0-0_090088_2017-05-07_final
2017-05-24 09:24:24	ga_ls7e_ard_3-0-0_090088_2017-05-23_final
2017-06-09 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-06-08_final
2017-06-25 09:24:32	ga_ls7e_ard_3-0-0_090088_2017-06-24_final
2017-07-11 09:24:33	ga_ls7e_ard_3-0-0_090088_2017-07-10_final
2017-07-27 09:24:32	ga_ls7e_ard_3-0-0_090088_2017-07-26_final
2017-08-12 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-11_final
2017-10-31 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-30_final
2017-11-16 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-11-15_final
2018-01-03 09:24:02	ga_ls7e_ard_3-0-0_090088_2018-01-02_final
2018-01-19 09:23:48	ga_ls7e_ard_3-0-0_090088_2018-01-18_final
2018-02-04 09:23:32	ga_ls7e_ard_3-0-0_090088_2018-02-03_final
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-03-08 09:23:11	ga_ls7e_ard_3-0-0_090088_2018-03-07_final
2018-04-09 09:22:44	ga_ls7e_ard_3-0-0_090088_2018-04-08_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_final
2018-05-27 09:21:56	ga_ls7e_ard_3-0-0_090088_2018-05-26_final
2018-06-28 09:21:21	ga_ls7e_ard_3-0-0_090088_2018-06-27_final
2018-07-14 09:21:02	ga_ls7e_ard_3-0-0_090088_2018-07-13_final
2018-07-30 09:20:45	ga_ls7e_ard_3-0-0_090088_2018-07-29_final
2018-10-02 09:19:25	ga_ls7e_ard_3-0-0_090088_2018-10-01_final
2018-11-03 09:18:41	ga_ls7e_ard_3-0-0_090088_2018-11-02_final
2018-12-05 09:17:54	ga_ls7e_ard_3-0-0_090088_2018-12-04_final
2018-12-21 09:17:27	ga_ls7e_ard_3-0-0_090088_2018-12-20_final
2019-01-06 09:16:58	ga_ls7e_ard_3-0-0_090088_2019-01-05_final
2019-01-22 09:16:27	ga_ls7e_ard_3-0-0_090088_2019-01-21_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-03-11 09:14:58	ga_ls7e_ard_3-1-0_090088_2019-03-10_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-04-12 09:13:53	ga_ls7e_ard_3-0-0_090088_2019-04-11_final
2019-05-30 09:12:05	ga_ls7e_ard_3-0-0_090088_2019-05-29_final
2019-08-02 09:09:39	ga_ls7e_ard_3-0-0_090088_2019-08-01_final
2019-08-18 09:08:59	ga_ls7e_ard_3-0-0_090088_2019-08-17_final
2019-10-21 09:06:15	ga_ls7e_ard_3-1-0_090088_2019-10-20_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2020-12-10 08:41:59	ga_ls7e_ard_3-1-0_090088_2020-12-09_final
2020-12-26 08:40:47	ga_ls7e_ard_3-1-0_090088_2020-12-25_final
2021-01-27 08:38:32	ga_ls7e_ard_3-2-0_090088_2021-01-26_final
2021-02-12 08:37:21	ga_ls7e_ard_3-2-0_090088_2021-02-11_final
2021-02-28 08:36:08	ga_ls7e_ard_3-2-0_090088_2021-02-27_final
2021-03-16 08:34:53	ga_ls7e_ard_3-2-0_090088_2021-03-15_final
2021-04-01 08:33:35	ga_ls7e_ard_3-2-0_090088_2021-03-31_final
2021-04-17 08:32:15	ga_ls7e_ard_3-2-0_090088_2021-04-16_final
2021-05-03 08:30:54	ga_ls7e_ard_3-2-0_090088_2021-05-02_final
2021-06-04 08:28:12	ga_ls7e_ard_3-2-0_090088_2021-06-03_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-07-22 08:24:11	ga_ls7e_ard_3-2-0_090088_2021-07-21_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-23 08:21:22	ga_ls7e_ard_3-2-0_090088_2021-08-22_final
2021-09-08 08:19:59	ga_ls7e_ard_3-2-0_090088_2021-09-07_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-29 08:09:34	ga_ls7e_ard_3-2-1_090088_2021-12-28_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-30 08:06:28	ga_ls7e_ard_3-2-1_090088_2022-01-29_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-03-03 08:03:17	ga_ls7e_ard_3-2-1_090088_2022-03-02_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_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