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
2015-01-03 10:06:16	ga_ls7e_ard_3-0-0_098079_2015-01-03_final
2015-01-19 10:06:17	ga_ls7e_ard_3-0-0_098079_2015-01-19_final
2015-02-04 10:06:26	ga_ls7e_ard_3-0-0_098079_2015-02-04_final
2015-02-20 10:06:30	ga_ls7e_ard_3-0-0_098079_2015-02-20_final
2015-03-08 10:06:37	ga_ls7e_ard_3-0-0_098079_2015-03-08_final
2015-04-09 10:06:54	ga_ls7e_ard_3-0-0_098079_2015-04-09_final
2015-05-11 10:07:08	ga_ls7e_ard_3-0-0_098079_2015-05-11_final
2015-05-27 10:07:12	ga_ls7e_ard_3-0-0_098079_2015-05-27_final
2015-06-12 10:07:20	ga_ls7e_ard_3-0-0_098079_2015-06-12_final
2015-06-28 10:07:22	ga_ls7e_ard_3-0-0_098079_2015-06-28_final
2015-07-14 10:07:28	ga_ls7e_ard_3-0-0_098079_2015-07-14_final
2015-07-30 10:07:30	ga_ls7e_ard_3-0-0_098079_2015-07-30_final
2015-08-15 10:07:35	ga_ls7e_ard_3-0-0_098079_2015-08-15_final
2015-08-31 10:07:34	ga_ls7e_ard_3-0-0_098079_2015-08-31_final
2015-10-02 10:07:39	ga_ls7e_ard_3-0-0_098079_2015-10-02_final
2015-10-18 10:07:59	ga_ls7e_ard_3-0-0_098079_2015-10-18_final
2015-11-19 10:08:31	ga_ls7e_ard_3-0-0_098079_2015-11-19_final
2015-12-21 10:09:00	ga_ls7e_ard_3-0-0_098079_2015-12-21_final
2016-01-06 10:09:14	ga_ls7e_ard_3-0-0_098079_2016-01-06_final
2016-01-22 10:09:27	ga_ls7e_ard_3-0-0_098079_2016-01-22_final
2016-02-07 10:09:35	ga_ls7e_ard_3-0-0_098079_2016-02-07_final
2016-02-23 10:09:36	ga_ls7e_ard_3-0-0_098079_2016-02-23_final
2016-03-26 10:09:53	ga_ls7e_ard_3-0-0_098079_2016-03-26_final
2016-04-11 10:09:58	ga_ls7e_ard_3-0-0_098079_2016-04-11_final
2016-04-27 10:10:05	ga_ls7e_ard_3-0-0_098079_2016-04-27_final
2016-05-13 10:10:08	ga_ls7e_ard_3-0-0_098079_2016-05-13_final
2016-05-29 10:10:13	ga_ls7e_ard_3-0-0_098079_2016-05-29_final
2016-06-14 10:10:17	ga_ls7e_ard_3-0-0_098079_2016-06-14_final
2016-06-30 10:10:18	ga_ls7e_ard_3-0-0_098079_2016-06-30_final
2016-07-16 10:10:18	ga_ls7e_ard_3-0-0_098079_2016-07-16_final
2016-08-01 10:10:21	ga_ls7e_ard_3-0-0_098079_2016-08-01_final
2016-08-17 10:10:21	ga_ls7e_ard_3-0-0_098079_2016-08-17_final
2016-09-02 10:10:26	ga_ls7e_ard_3-0-0_098079_2016-09-02_final
2016-09-18 10:10:27	ga_ls7e_ard_3-0-0_098079_2016-09-18_final
2016-10-20 10:10:28	ga_ls7e_ard_3-0-0_098079_2016-10-20_final
2016-11-05 10:10:22	ga_ls7e_ard_3-0-0_098079_2016-11-05_final
2016-11-21 10:10:16	ga_ls7e_ard_3-0-0_098079_2016-11-21_final
2016-12-23 10:10:07	ga_ls7e_ard_3-0-0_098079_2016-12-23_final
2017-01-08 10:09:58	ga_ls7e_ard_3-0-0_098079_2017-01-08_final
2017-01-24 10:09:46	ga_ls7e_ard_3-0-0_098079_2017-01-24_final
2017-02-25 10:09:47	ga_ls7e_ard_3-0-0_098079_2017-02-25_final
2017-03-13 10:09:54	ga_ls7e_ard_3-0-0_098079_2017-03-13_final
2017-03-29 10:09:58	ga_ls7e_ard_3-0-0_098079_2017-03-29_final
2017-04-14 10:10:04	ga_ls7e_ard_3-0-0_098079_2017-04-14_final
2017-04-30 10:10:10	ga_ls7e_ard_3-0-0_098079_2017-04-30_final
2017-05-16 10:10:14	ga_ls7e_ard_3-0-0_098079_2017-05-16_final
2017-06-01 10:10:17	ga_ls7e_ard_3-0-0_098079_2017-06-01_final
2017-06-17 10:10:21	ga_ls7e_ard_3-0-0_098079_2017-06-17_final
2017-07-19 10:10:24	ga_ls7e_ard_3-0-0_098079_2017-07-19_final
2017-08-04 10:10:22	ga_ls7e_ard_3-0-0_098079_2017-08-04_final
2017-10-07 10:10:21	ga_ls7e_ard_3-0-0_098079_2017-10-07_final
2017-10-23 10:10:23	ga_ls7e_ard_3-0-0_098079_2017-10-23_final
2017-11-08 10:10:21	ga_ls7e_ard_3-0-0_098079_2017-11-08_final
2017-12-10 10:10:09	ga_ls7e_ard_3-0-0_098079_2017-12-10_final
2017-12-26 10:09:59	ga_ls7e_ard_3-0-0_098079_2017-12-26_final
2018-01-11 10:09:46	ga_ls7e_ard_3-0-0_098079_2018-01-11_final
2018-01-27 10:09:31	ga_ls7e_ard_3-0-0_098079_2018-01-27_final
2018-02-12 10:09:17	ga_ls7e_ard_3-0-0_098079_2018-02-12_final
2018-02-28 10:09:07	ga_ls7e_ard_3-0-0_098079_2018-02-28_final
2018-03-16 10:08:56	ga_ls7e_ard_3-0-0_098079_2018-03-16_final
2018-04-01 10:08:42	ga_ls7e_ard_3-0-0_098079_2018-04-01_final
2018-04-17 10:08:27	ga_ls7e_ard_3-0-0_098079_2018-04-17_final
2018-05-19 10:07:54	ga_ls7e_ard_3-0-0_098079_2018-05-19_final
2018-06-04 10:07:39	ga_ls7e_ard_3-0-0_098079_2018-06-04_final
2018-07-22 10:06:45	ga_ls7e_ard_3-0-0_098079_2018-07-22_final
2018-08-07 10:06:28	ga_ls7e_ard_3-0-0_098079_2018-08-07_final
2018-08-23 10:06:09	ga_ls7e_ard_3-0-0_098079_2018-08-23_final
2018-09-08 10:05:49	ga_ls7e_ard_3-0-0_098079_2018-09-08_final
2018-09-24 10:05:27	ga_ls7e_ard_3-0-0_098079_2018-09-24_final
2018-10-10 10:05:04	ga_ls7e_ard_3-0-0_098079_2018-10-10_final
2018-11-27 10:03:57	ga_ls7e_ard_3-0-0_098079_2018-11-27_final
2018-12-13 10:03:31	ga_ls7e_ard_3-0-0_098079_2018-12-13_final
2018-12-29 10:03:03	ga_ls7e_ard_3-0-0_098079_2018-12-29_final
2019-01-14 10:02:34	ga_ls7e_ard_3-0-0_098079_2019-01-14_final
2019-01-30 10:02:02	ga_ls7e_ard_3-0-0_098079_2019-01-30_final
2019-03-03 10:01:05	ga_ls7e_ard_3-1-0_098079_2019-03-03_final
2019-04-20 09:59:26	ga_ls7e_ard_3-0-0_098079_2019-04-20_final
2019-05-06 09:58:50	ga_ls7e_ard_3-0-0_098079_2019-05-06_final
2019-05-22 09:58:12	ga_ls7e_ard_3-0-0_098079_2019-05-22_final
2019-06-07 09:57:39	ga_ls7e_ard_3-0-0_098079_2019-06-07_final
2021-04-09 09:18:46	ga_ls7e_ard_3-2-0_098079_2021-04-08_final
2021-04-25 09:17:25	ga_ls7e_ard_3-2-0_098079_2021-04-24_final
2021-05-11 09:16:05	ga_ls7e_ard_3-2-0_098079_2021-05-10_final
2021-05-27 09:14:43	ga_ls7e_ard_3-2-0_098079_2021-05-26_final
2021-06-12 09:13:24	ga_ls7e_ard_3-2-0_098079_2021-06-11_final
2021-06-28 09:12:05	ga_ls7e_ard_3-2-0_098079_2021-06-27_final
2021-07-14 09:10:43	ga_ls7e_ard_3-2-0_098079_2021-07-13_final
2021-07-30 09:09:20	ga_ls7e_ard_3-2-0_098079_2021-07-29_final
2021-08-15 09:07:55	ga_ls7e_ard_3-2-0_098079_2021-08-14_final
2021-08-31 09:06:32	ga_ls7e_ard_3-2-0_098079_2021-08-30_final
2021-09-16 09:05:07	ga_ls7e_ard_3-2-0_098079_2021-09-15_final
2021-10-02 09:03:42	ga_ls7e_ard_3-2-0_098079_2021-10-01_final
2021-10-18 09:02:17	ga_ls7e_ard_3-2-0_098079_2021-10-17_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-19 08:59:16	ga_ls7e_ard_3-2-1_098079_2021-11-18_final
2021-12-21 08:56:13	ga_ls7e_ard_3-2-1_098079_2021-12-20_final
2022-01-06 08:54:36	ga_ls7e_ard_3-2-1_098079_2022-01-05_final
2022-02-07 08:51:30	ga_ls7e_ard_3-2-1_098079_2022-02-06_final
2022-02-23 08:49:54	ga_ls7e_ard_3-2-1_098079_2022-02-22_final
2022-03-11 08:48:21	ga_ls7e_ard_3-2-1_098079_2022-03-10_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