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
2014-10-21 09:27:07	ga_ls7e_ard_3-0-0_092075_2014-10-20_final
2014-11-22 09:27:20	ga_ls7e_ard_3-0-0_092075_2014-11-21_final
2014-12-08 09:27:27	ga_ls7e_ard_3-0-0_092075_2014-12-07_final
2015-01-09 09:27:37	ga_ls7e_ard_3-0-0_092075_2015-01-08_final
2015-04-15 09:28:16	ga_ls7e_ard_3-0-0_092075_2015-04-14_final
2015-08-05 09:28:52	ga_ls7e_ard_3-0-0_092075_2015-08-04_final
2015-09-22 09:29:01	ga_ls7e_ard_3-0-0_092075_2015-09-21_final
2015-10-24 09:29:25	ga_ls7e_ard_3-0-0_092075_2015-10-23_final
2015-11-09 09:29:39	ga_ls7e_ard_3-0-0_092075_2015-11-08_final
2015-11-25 09:29:55	ga_ls7e_ard_3-1-0_092075_2015-11-24_final
2015-12-11 09:30:10	ga_ls7e_ard_3-1-0_092075_2015-12-11_final
2015-12-27 09:30:23	ga_ls7e_ard_3-0-0_092075_2015-12-27_final
2016-01-12 09:30:39	ga_ls7e_ard_3-0-0_092075_2016-01-12_final
2016-01-28 09:30:50	ga_ls7e_ard_3-0-0_092075_2016-01-28_final
2016-02-13 09:30:56	ga_ls7e_ard_3-0-0_092075_2016-02-13_final
2016-02-29 09:31:00	ga_ls7e_ard_3-0-0_092075_2016-02-29_final
2016-04-01 09:31:13	ga_ls7e_ard_3-0-0_092075_2016-04-01_final
2016-05-03 09:31:26	ga_ls7e_ard_3-0-0_092075_2016-05-03_final
2016-05-19 09:31:28	ga_ls7e_ard_3-0-0_092075_2016-05-19_final
2016-06-04 09:31:34	ga_ls7e_ard_3-0-0_092075_2016-06-04_final
2016-06-20 09:31:37	ga_ls7e_ard_3-0-0_092075_2016-06-20_final
2016-07-06 09:31:37	ga_ls7e_ard_3-0-0_092075_2016-07-06_final
2016-07-22 09:31:39	ga_ls7e_ard_3-0-0_092075_2016-07-22_final
2016-08-07 09:31:41	ga_ls7e_ard_3-0-0_092075_2016-08-07_final
2016-08-23 09:31:43	ga_ls7e_ard_3-0-0_092075_2016-08-23_final
2016-09-24 09:31:48	ga_ls7e_ard_3-0-0_092075_2016-09-24_final
2016-10-10 09:31:49	ga_ls7e_ard_3-0-0_092075_2016-10-10_final
2016-10-26 09:31:46	ga_ls7e_ard_3-0-0_092075_2016-10-26_final
2016-11-11 09:31:38	ga_ls7e_ard_3-0-0_092075_2016-11-11_final
2016-11-27 09:31:35	ga_ls7e_ard_3-0-0_092075_2016-11-27_final
2016-12-29 09:31:24	ga_ls7e_ard_3-0-0_092075_2016-12-29_final
2017-01-14 09:31:13	ga_ls7e_ard_3-0-0_092075_2017-01-14_final
2017-01-30 09:31:04	ga_ls7e_ard_3-0-0_092075_2017-01-30_final
2017-02-15 09:31:01	ga_ls7e_ard_3-0-0_092075_2017-02-15_final
2017-03-03 09:31:09	ga_ls7e_ard_3-0-0_092075_2017-03-03_final
2017-03-19 09:31:15	ga_ls7e_ard_3-0-0_092075_2017-03-19_final
2017-04-04 09:31:19	ga_ls7e_ard_3-0-0_092075_2017-04-04_final
2017-04-20 09:31:26	ga_ls7e_ard_3-0-0_092075_2017-04-20_final
2017-05-06 09:31:31	ga_ls7e_ard_3-0-0_092075_2017-05-06_final
2017-05-22 09:31:34	ga_ls7e_ard_3-0-0_092075_2017-05-22_final
2017-06-07 09:31:39	ga_ls7e_ard_3-0-0_092075_2017-06-07_final
2017-06-23 09:31:42	ga_ls7e_ard_3-0-0_092075_2017-06-23_final
2017-07-09 09:31:43	ga_ls7e_ard_3-0-0_092075_2017-07-09_final
2017-07-25 09:31:43	ga_ls7e_ard_3-0-0_092075_2017-07-25_final
2017-08-10 09:31:40	ga_ls7e_ard_3-0-0_092075_2017-08-10_final
2017-08-26 09:31:40	ga_ls7e_ard_3-0-0_092075_2017-08-26_final
2017-09-11 09:31:39	ga_ls7e_ard_3-0-0_092075_2017-09-11_final
2017-09-27 09:31:39	ga_ls7e_ard_3-0-0_092075_2017-09-27_final
2017-10-13 09:31:41	ga_ls7e_ard_3-0-0_092075_2017-10-13_final
2017-10-29 09:31:42	ga_ls7e_ard_3-0-0_092075_2017-10-29_final
2017-11-14 09:31:39	ga_ls7e_ard_3-0-0_092075_2017-11-14_final
2017-12-16 09:31:25	ga_ls7e_ard_3-0-0_092075_2017-12-16_final
2018-01-17 09:31:00	ga_ls7e_ard_3-0-0_092075_2018-01-17_final
2018-05-25 09:29:08	ga_ls7e_ard_3-0-0_092075_2018-05-24_final
2018-06-10 09:28:52	ga_ls7e_ard_3-0-0_092075_2018-06-09_final
2018-07-28 09:27:58	ga_ls7e_ard_3-0-0_092075_2018-07-27_final
2018-08-13 09:27:40	ga_ls7e_ard_3-0-0_092075_2018-08-12_final
2018-08-29 09:27:21	ga_ls7e_ard_3-0-0_092075_2018-08-28_final
2018-09-30 09:26:38	ga_ls7e_ard_3-0-0_092075_2018-09-29_final
2018-11-01 09:25:54	ga_ls7e_ard_3-0-0_092075_2018-10-31_final
2018-11-17 09:25:31	ga_ls7e_ard_3-0-0_092075_2018-11-16_final
2018-12-03 09:25:07	ga_ls7e_ard_3-0-0_092075_2018-12-02_final
2018-12-19 09:24:41	ga_ls7e_ard_3-0-0_092075_2018-12-18_final
2019-07-31 09:16:54	ga_ls7e_ard_3-0-0_092075_2019-07-30_final
2020-01-23 09:08:51	ga_ls7e_ard_3-1-0_092075_2020-01-22_final
2020-02-08 09:08:03	ga_ls7e_ard_3-1-0_092075_2020-02-07_final
2020-03-27 09:05:28	ga_ls7e_ard_3-1-0_092075_2020-03-26_final
2020-04-28 09:03:37	ga_ls7e_ard_3-1-0_092075_2020-04-27_final
2020-05-30 09:01:40	ga_ls7e_ard_3-1-0_092075_2020-05-29_final
2020-07-01 08:59:47	ga_ls7e_ard_3-1-0_092075_2020-06-30_final
2020-07-17 08:58:49	ga_ls7e_ard_3-1-0_092075_2020-07-16_final
2020-08-02 08:57:50	ga_ls7e_ard_3-1-0_092075_2020-08-01_final
2020-08-18 08:56:49	ga_ls7e_ard_3-1-0_092075_2020-08-17_final
2020-09-19 08:54:43	ga_ls7e_ard_3-1-0_092075_2020-09-18_final
2020-10-05 08:53:41	ga_ls7e_ard_3-1-0_092075_2020-10-04_final
2020-10-21 08:52:39	ga_ls7e_ard_3-1-0_092075_2020-10-20_final
2020-11-06 08:51:35	ga_ls7e_ard_3-1-0_092075_2020-11-05_final
2020-11-22 08:50:28	ga_ls7e_ard_3-1-0_092075_2020-11-21_final
2021-02-10 08:44:40	ga_ls7e_ard_3-2-0_092075_2021-02-09_final
2021-03-14 08:42:13	ga_ls7e_ard_3-2-0_092075_2021-03-13_final
2021-03-30 08:40:55	ga_ls7e_ard_3-2-0_092075_2021-03-29_final
2021-04-15 08:39:35	ga_ls7e_ard_3-2-0_092075_2021-04-14_final
2021-05-01 08:38:14	ga_ls7e_ard_3-2-0_092075_2021-04-30_final
2021-05-17 08:36:54	ga_ls7e_ard_3-2-0_092075_2021-05-16_final
2021-06-02 08:35:31	ga_ls7e_ard_3-2-0_092075_2021-06-01_final
2021-06-18 08:34:14	ga_ls7e_ard_3-2-0_092075_2021-06-17_final
2021-07-04 08:32:54	ga_ls7e_ard_3-2-0_092075_2021-07-03_final
2021-07-20 08:31:32	ga_ls7e_ard_3-2-0_092075_2021-07-19_final
2021-08-05 08:30:08	ga_ls7e_ard_3-2-0_092075_2021-08-04_final
2021-08-21 08:28:43	ga_ls7e_ard_3-2-0_092075_2021-08-20_final
2021-09-06 08:27:20	ga_ls7e_ard_3-2-0_092075_2021-09-05_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-10-08 08:24:30	ga_ls7e_ard_3-2-0_092075_2021-10-07_final
2021-10-24 08:23:04	ga_ls7e_ard_3-2-0_092075_2021-10-23_final
2021-12-11 08:18:30	ga_ls7e_ard_3-2-1_092075_2021-12-10_final
2022-01-12 08:15:22	ga_ls7e_ard_3-2-1_092075_2022-01-11_final
2022-01-28 08:13:50	ga_ls7e_ard_3-2-1_092075_2022-01-27_final
2022-02-13 08:12:12	ga_ls7e_ard_3-2-1_092075_2022-02-12_final
2022-03-01 08:10:39	ga_ls7e_ard_3-2-1_092075_2022-02-28_final
2022-03-17 08:09:03	ga_ls7e_ard_3-2-1_092075_2022-03-16_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