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
2015-12-07 11:36:05	ga_ls7e_ard_3-0-0_112081_2015-12-07_final
2017-06-03 11:37:37	ga_ls7e_ard_3-0-0_112081_2017-06-03_final
2017-06-19 11:37:41	ga_ls7e_ard_3-0-0_112081_2017-06-19_final
2017-07-05 11:37:43	ga_ls7e_ard_3-0-0_112081_2017-07-05_final
2017-07-21 11:37:43	ga_ls7e_ard_3-0-0_112081_2017-07-21_final
2017-08-06 11:37:41	ga_ls7e_ard_3-0-0_112081_2017-08-06_final
2017-08-22 11:37:40	ga_ls7e_ard_3-0-0_112081_2017-08-22_final
2017-09-07 11:37:40	ga_ls7e_ard_3-0-0_112081_2017-09-07_final
2017-09-23 11:37:38	ga_ls7e_ard_3-0-0_112081_2017-09-23_final
2017-10-09 11:37:41	ga_ls7e_ard_3-0-0_112081_2017-10-09_final
2017-10-25 11:37:42	ga_ls7e_ard_3-0-0_112081_2017-10-25_final
2017-11-10 11:37:40	ga_ls7e_ard_3-0-0_112081_2017-11-10_final
2017-11-26 11:37:35	ga_ls7e_ard_3-0-0_112081_2017-11-26_final
2017-12-12 11:37:27	ga_ls7e_ard_3-0-0_112081_2017-12-12_final
2017-12-28 11:37:17	ga_ls7e_ard_3-0-0_112081_2017-12-28_final
2018-01-13 11:37:03	ga_ls7e_ard_3-0-0_112081_2018-01-13_final
2018-01-29 11:36:48	ga_ls7e_ard_3-0-0_112081_2018-01-29_final
2018-02-14 11:36:35	ga_ls7e_ard_3-0-0_112081_2018-02-14_final
2018-03-02 11:36:25	ga_ls7e_ard_3-0-0_112081_2018-03-02_final
2018-03-18 11:36:14	ga_ls7e_ard_3-0-0_112081_2018-03-18_final
2018-04-03 11:36:00	ga_ls7e_ard_3-0-0_112081_2018-04-03_final
2018-04-19 11:35:44	ga_ls7e_ard_3-0-0_112081_2018-04-19_final
2018-05-05 11:35:26	ga_ls7e_ard_3-0-0_112081_2018-05-05_final
2018-05-21 11:35:11	ga_ls7e_ard_3-0-0_112081_2018-05-21_final
2018-06-06 11:34:56	ga_ls7e_ard_3-0-0_112081_2018-06-06_final
2018-06-22 11:34:38	ga_ls7e_ard_3-0-0_112081_2018-06-22_final
2018-07-08 11:34:19	ga_ls7e_ard_3-0-0_112081_2018-07-08_final
2018-07-24 11:34:02	ga_ls7e_ard_3-0-0_112081_2018-07-24_final
2018-08-09 11:33:45	ga_ls7e_ard_3-0-0_112081_2018-08-09_final
2018-08-25 11:33:26	ga_ls7e_ard_3-0-0_112081_2018-08-25_final
2018-09-10 11:33:06	ga_ls7e_ard_3-0-0_112081_2018-09-10_final
2018-09-26 11:32:44	ga_ls7e_ard_3-0-0_112081_2018-09-26_final
2018-10-28 11:31:59	ga_ls7e_ard_3-0-0_112081_2018-10-28_final
2018-11-13 11:31:37	ga_ls7e_ard_3-0-0_112081_2018-11-13_final
2018-11-29 11:31:13	ga_ls7e_ard_3-0-0_112081_2018-11-29_final
2018-12-15 11:30:47	ga_ls7e_ard_3-0-0_112081_2018-12-15_final
2018-12-31 11:30:19	ga_ls7e_ard_3-0-0_112081_2018-12-31_final
2019-01-16 11:29:49	ga_ls7e_ard_3-0-0_112081_2019-01-16_final
2019-02-01 11:29:18	ga_ls7e_ard_3-0-0_112081_2019-02-01_final
2019-02-17 11:28:50	ga_ls7e_ard_3-1-0_112081_2019-02-17_final
2019-03-05 11:28:20	ga_ls7e_ard_3-1-0_112081_2019-03-05_final
2019-04-06 11:27:16	ga_ls7e_ard_3-0-0_112081_2019-04-06_final
2019-04-22 11:26:41	ga_ls7e_ard_3-0-0_112081_2019-04-22_final
2019-05-08 11:26:05	ga_ls7e_ard_3-0-0_112081_2019-05-08_final
2019-05-24 11:25:27	ga_ls7e_ard_3-0-0_112081_2019-05-24_final
2019-06-09 11:24:54	ga_ls7e_ard_3-0-0_112081_2019-06-09_final
2019-06-25 11:24:18	ga_ls7e_ard_3-0-0_112081_2019-06-25_final
2019-07-11 11:23:42	ga_ls7e_ard_3-0-0_112081_2019-07-11_final
2019-07-27 11:23:03	ga_ls7e_ard_3-0-0_112081_2019-07-27_final
2019-08-12 11:22:24	ga_ls7e_ard_3-0-0_112081_2019-08-12_final
2019-08-28 11:21:44	ga_ls7e_ard_3-1-0_112081_2019-08-28_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-29 11:20:20	ga_ls7e_ard_3-1-0_112081_2019-09-29_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-31 11:18:59	ga_ls7e_ard_3-1-0_112081_2019-10-31_final
2019-11-16 11:18:15	ga_ls7e_ard_3-1-0_112081_2019-11-16_final
2019-12-02 11:17:29	ga_ls7e_ard_3-1-0_112081_2019-12-02_final
2019-12-18 11:16:41	ga_ls7e_ard_3-1-0_112081_2019-12-18_final
2020-01-03 11:15:51	ga_ls7e_ard_3-1-0_112081_2020-01-03_final
2020-01-19 11:15:03	ga_ls7e_ard_3-1-0_112081_2020-01-19_final
2020-02-04 11:14:15	ga_ls7e_ard_3-1-0_112081_2020-02-04_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-03-07 11:12:34	ga_ls7e_ard_3-1-0_112081_2020-03-07_final
2020-03-23 11:11:41	ga_ls7e_ard_3-1-0_112081_2020-03-23_final
2020-04-08 11:10:47	ga_ls7e_ard_3-1-0_112081_2020-04-08_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2020-05-10 11:08:53	ga_ls7e_ard_3-1-0_112081_2020-05-10_final
2020-05-26 11:07:53	ga_ls7e_ard_3-1-0_112081_2020-05-26_final
2020-06-11 11:06:58	ga_ls7e_ard_3-1-0_112081_2020-06-11_final
2020-06-27 11:06:01	ga_ls7e_ard_3-1-0_112081_2020-06-27_final
2020-07-13 11:05:04	ga_ls7e_ard_3-1-0_112081_2020-07-13_final
2020-07-29 11:04:04	ga_ls7e_ard_3-1-0_112081_2020-07-29_final
2020-08-14 11:03:04	ga_ls7e_ard_3-1-0_112081_2020-08-14_final
2020-08-30 11:02:02	ga_ls7e_ard_3-1-0_112081_2020-08-30_final
2020-09-15 11:00:58	ga_ls7e_ard_3-1-0_112081_2020-09-15_final
2020-10-01 10:59:56	ga_ls7e_ard_3-1-0_112081_2020-10-01_final
2020-10-17 10:58:55	ga_ls7e_ard_3-1-0_112081_2020-10-17_final
2020-11-18 10:56:45	ga_ls7e_ard_3-1-0_112081_2020-11-18_final
2020-12-04 10:55:36	ga_ls7e_ard_3-1-0_112081_2020-12-04_final
2021-02-22 10:49:46	ga_ls7e_ard_3-2-0_112081_2021-02-22_final
2021-03-10 10:48:31	ga_ls7e_ard_3-2-0_112081_2021-03-10_final
2021-03-26 10:47:14	ga_ls7e_ard_3-2-0_112081_2021-03-26_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-06-14 10:40:33	ga_ls7e_ard_3-2-0_112081_2021-06-14_final
2021-06-30 10:39:14	ga_ls7e_ard_3-2-0_112081_2021-06-30_final
2021-07-16 10:37:52	ga_ls7e_ard_3-2-0_112081_2021-07-16_final
2021-08-01 10:36:29	ga_ls7e_ard_3-2-0_112081_2021-08-01_final
2021-08-17 10:35:03	ga_ls7e_ard_3-2-0_112081_2021-08-17_final
2021-09-02 10:33:40	ga_ls7e_ard_3-2-0_112081_2021-09-02_final
2021-09-18 10:32:16	ga_ls7e_ard_3-2-0_112081_2021-09-18_final
2021-10-04 10:30:50	ga_ls7e_ard_3-2-0_112081_2021-10-04_final
2021-10-20 10:29:25	ga_ls7e_ard_3-2-0_112081_2021-10-20_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-12-07 10:24:52	ga_ls7e_ard_3-2-1_112081_2021-12-07_final
2021-12-23 10:23:20	ga_ls7e_ard_3-2-1_112081_2021-12-23_final
2022-01-08 10:21:44	ga_ls7e_ard_3-2-1_112081_2022-01-08_final
2022-01-24 10:20:13	ga_ls7e_ard_3-2-1_112081_2022-01-24_final
2022-02-09 10:18:37	ga_ls7e_ard_3-2-1_112081_2022-02-09_final
2022-02-25 10:17:02	ga_ls7e_ard_3-2-1_112081_2022-02-25_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_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