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
2016-04-23 10:31:59	ga_ls7e_ard_3-0-0_102072_2016-04-23_final
2016-06-10 10:32:12	ga_ls7e_ard_3-0-0_102072_2016-06-10_final
2016-06-26 10:32:14	ga_ls7e_ard_3-0-0_102072_2016-06-26_final
2016-11-17 10:32:12	ga_ls7e_ard_3-0-0_102072_2016-11-17_final
2016-12-03 10:32:10	ga_ls7e_ard_3-0-0_102072_2016-12-03_final
2016-12-19 10:32:05	ga_ls7e_ard_3-0-0_102072_2016-12-19_final
2017-01-04 10:31:56	ga_ls7e_ard_3-0-0_102072_2017-01-04_final
2017-03-09 10:31:48	ga_ls7e_ard_3-0-0_102072_2017-03-09_final
2017-04-26 10:32:05	ga_ls7e_ard_3-0-0_102072_2017-04-26_final
2017-05-12 10:32:09	ga_ls7e_ard_3-0-0_102072_2017-05-12_final
2017-06-13 10:32:16	ga_ls7e_ard_3-0-0_102072_2017-06-13_final
2017-06-29 10:32:19	ga_ls7e_ard_3-0-0_102072_2017-06-29_final
2017-10-19 10:32:18	ga_ls7e_ard_3-0-0_102072_2017-10-19_final
2017-12-22 10:31:57	ga_ls7e_ard_3-0-0_102072_2017-12-22_final
2018-03-12 10:30:54	ga_ls7e_ard_3-0-0_102072_2018-03-12_final
2018-04-13 10:30:27	ga_ls7e_ard_3-0-0_102072_2018-04-13_final
2018-04-29 10:30:10	ga_ls7e_ard_3-0-0_102072_2018-04-29_final
2018-05-15 10:29:53	ga_ls7e_ard_3-0-0_102072_2018-05-15_final
2018-05-31 10:29:38	ga_ls7e_ard_3-0-0_102072_2018-05-31_final
2018-06-16 10:29:21	ga_ls7e_ard_3-0-0_102072_2018-06-16_final
2018-07-02 10:29:03	ga_ls7e_ard_3-0-0_102072_2018-07-02_final
2018-07-18 10:28:44	ga_ls7e_ard_3-0-0_102072_2018-07-18_final
2018-08-03 10:28:28	ga_ls7e_ard_3-0-0_102072_2018-08-03_final
2018-08-19 10:28:09	ga_ls7e_ard_3-0-0_102072_2018-08-19_final
2018-09-04 10:27:50	ga_ls7e_ard_3-0-0_102072_2018-09-04_final
2018-09-20 10:27:28	ga_ls7e_ard_3-0-0_102072_2018-09-20_final
2018-10-06 10:27:05	ga_ls7e_ard_3-0-0_102072_2018-10-06_final
2018-10-22 10:26:43	ga_ls7e_ard_3-1-0_102072_2018-10-22_final
2018-11-07 10:26:22	ga_ls7e_ard_3-0-0_102072_2018-11-07_final
2018-11-23 10:25:59	ga_ls7e_ard_3-0-0_102072_2018-11-23_final
2018-12-09 10:25:34	ga_ls7e_ard_3-0-0_102072_2018-12-09_final
2019-01-10 10:24:37	ga_ls7e_ard_3-0-0_102072_2019-01-10_final
2019-01-26 10:24:06	ga_ls7e_ard_3-0-0_102072_2019-01-26_final
2019-02-11 10:23:37	ga_ls7e_ard_3-0-0_102072_2019-02-11_final
2019-02-27 10:23:08	ga_ls7e_ard_3-1-0_102072_2019-02-27_final
2019-03-15 10:22:37	ga_ls7e_ard_3-1-0_102072_2019-03-15_final
2019-03-31 10:22:05	ga_ls7e_ard_3-0-0_102072_2019-03-31_final
2019-04-16 10:21:31	ga_ls7e_ard_3-0-0_102072_2019-04-16_final
2019-05-02 10:20:55	ga_ls7e_ard_3-0-0_102072_2019-05-02_final
2019-05-18 10:20:17	ga_ls7e_ard_3-0-0_102072_2019-05-18_final
2019-06-03 10:19:43	ga_ls7e_ard_3-0-0_102072_2019-06-03_final
2019-06-19 10:19:08	ga_ls7e_ard_3-0-0_102072_2019-06-19_final
2019-07-05 10:18:32	ga_ls7e_ard_3-0-0_102072_2019-07-05_final
2019-07-21 10:17:54	ga_ls7e_ard_3-0-0_102072_2019-07-21_final
2019-08-06 10:17:16	ga_ls7e_ard_3-0-0_102072_2019-08-06_final
2019-08-22 10:16:35	ga_ls7e_ard_3-0-0_102072_2019-08-22_final
2019-09-07 10:15:54	ga_ls7e_ard_3-1-0_102072_2019-09-07_final
2019-09-23 10:15:11	ga_ls7e_ard_3-1-0_102072_2019-09-23_final
2019-10-09 10:14:32	ga_ls7e_ard_3-1-0_102072_2019-10-09_final
2019-10-25 10:13:51	ga_ls7e_ard_3-1-0_102072_2019-10-25_final
2019-11-10 10:13:08	ga_ls7e_ard_3-1-0_102072_2019-11-10_final
2019-11-26 10:12:23	ga_ls7e_ard_3-1-0_102072_2019-11-26_final
2019-12-12 10:11:36	ga_ls7e_ard_3-1-0_102072_2019-12-12_final
2019-12-28 10:10:46	ga_ls7e_ard_3-1-0_102072_2019-12-28_final
2020-01-13 10:09:57	ga_ls7e_ard_3-1-0_102072_2020-01-13_final
2020-01-29 10:09:10	ga_ls7e_ard_3-1-0_102072_2020-01-29_final
2020-02-14 10:08:21	ga_ls7e_ard_3-1-0_102072_2020-02-14_final
2020-03-01 10:07:30	ga_ls7e_ard_3-1-0_102072_2020-03-01_final
2020-03-17 10:06:38	ga_ls7e_ard_3-1-0_102072_2020-03-17_final
2020-04-02 10:05:44	ga_ls7e_ard_3-1-0_102072_2020-04-02_final
2020-04-18 10:04:49	ga_ls7e_ard_3-1-0_102072_2020-04-18_final
2020-05-04 10:03:51	ga_ls7e_ard_3-1-0_102072_2020-05-04_final
2020-05-20 10:02:52	ga_ls7e_ard_3-1-0_102072_2020-05-20_final
2020-06-05 10:01:55	ga_ls7e_ard_3-1-0_102072_2020-06-05_final
2020-06-21 10:00:59	ga_ls7e_ard_3-1-0_102072_2020-06-21_final
2020-07-07 10:00:02	ga_ls7e_ard_3-1-0_102072_2020-07-07_final
2020-07-23 09:59:03	ga_ls7e_ard_3-1-0_102072_2020-07-23_final
2020-08-08 09:58:03	ga_ls7e_ard_3-1-0_102072_2020-08-08_final
2020-08-24 09:57:02	ga_ls7e_ard_3-1-0_102072_2020-08-24_final
2020-09-09 09:55:59	ga_ls7e_ard_3-1-0_102072_2020-09-09_final
2020-09-25 09:54:55	ga_ls7e_ard_3-1-0_102072_2020-09-25_final
2020-10-11 09:53:54	ga_ls7e_ard_3-1-0_102072_2020-10-11_final
2020-10-27 09:52:52	ga_ls7e_ard_3-1-0_102072_2020-10-27_final
2020-11-12 09:51:47	ga_ls7e_ard_3-1-0_102072_2020-11-12_final
2020-11-28 09:50:39	ga_ls7e_ard_3-1-0_102072_2020-11-28_final
2020-12-14 09:49:27	ga_ls7e_ard_3-1-0_102072_2020-12-14_final
2021-02-16 09:44:49	ga_ls7e_ard_3-2-0_102072_2021-02-16_final
2021-03-04 09:43:36	ga_ls7e_ard_3-2-0_102072_2021-03-04_final
2021-03-20 09:42:20	ga_ls7e_ard_3-2-0_102072_2021-03-20_final
2021-04-05 09:41:02	ga_ls7e_ard_3-2-0_102072_2021-04-05_final
2021-04-21 09:39:41	ga_ls7e_ard_3-2-0_102072_2021-04-21_final
2021-05-07 09:38:21	ga_ls7e_ard_3-2-0_102072_2021-05-07_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-06-08 09:35:39	ga_ls7e_ard_3-2-0_102072_2021-06-08_final
2021-06-24 09:34:20	ga_ls7e_ard_3-2-0_102072_2021-06-24_final
2021-07-10 09:32:59	ga_ls7e_ard_3-2-0_102072_2021-07-10_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-08-27 09:28:48	ga_ls7e_ard_3-2-0_102072_2021-08-26_final
2021-09-12 09:27:24	ga_ls7e_ard_3-2-0_102072_2021-09-11_final
2021-09-28 09:25:58	ga_ls7e_ard_3-2-0_102072_2021-09-27_final
2021-10-14 09:24:34	ga_ls7e_ard_3-2-0_102072_2021-10-13_final
2021-10-30 09:23:07	ga_ls7e_ard_3-2-0_102072_2021-10-29_final
2021-11-15 09:21:35	ga_ls7e_ard_3-2-1_102072_2021-11-14_final
2021-12-01 09:20:03	ga_ls7e_ard_3-2-1_102072_2021-11-30_final
2021-12-17 09:18:32	ga_ls7e_ard_3-2-1_102072_2021-12-16_final
2022-01-02 09:16:56	ga_ls7e_ard_3-2-1_102072_2022-01-01_final
2022-01-18 09:15:25	ga_ls7e_ard_3-2-1_102072_2022-01-17_final
2022-02-03 09:13:50	ga_ls7e_ard_3-2-1_102072_2022-02-02_final
2022-02-19 09:12:13	ga_ls7e_ard_3-2-1_102072_2022-02-18_final
2022-03-07 09:10:40	ga_ls7e_ard_3-2-1_102072_2022-03-06_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