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
2016-05-22 11:42:52	ga_ls7e_ard_3-0-0_113079_2016-05-22_final
2016-06-07 11:42:58	ga_ls7e_ard_3-0-0_113079_2016-06-07_final
2016-08-10 11:43:04	ga_ls7e_ard_3-0-0_113079_2016-08-10_final
2016-10-13 11:43:12	ga_ls7e_ard_3-0-0_113079_2016-10-13_final
2016-10-29 11:43:07	ga_ls7e_ard_3-0-0_113079_2016-10-29_final
2016-12-16 11:42:52	ga_ls7e_ard_3-0-0_113079_2016-12-16_final
2017-01-17 11:42:34	ga_ls7e_ard_3-0-0_113079_2017-01-17_final
2017-02-02 11:42:26	ga_ls7e_ard_3-0-0_113079_2017-02-02_final
2017-03-22 11:42:39	ga_ls7e_ard_3-0-0_113079_2017-03-22_final
2017-06-10 11:43:02	ga_ls7e_ard_3-0-0_113079_2017-06-10_final
2017-08-29 11:43:03	ga_ls7e_ard_3-0-0_113079_2017-08-29_final
2017-09-30 11:43:02	ga_ls7e_ard_3-0-0_113079_2017-09-30_final
2017-11-17 11:43:01	ga_ls7e_ard_3-0-0_113079_2017-11-17_final
2017-12-03 11:42:55	ga_ls7e_ard_3-0-0_113079_2017-12-03_final
2018-01-04 11:42:34	ga_ls7e_ard_3-0-0_113079_2018-01-04_final
2018-02-21 11:41:54	ga_ls7e_ard_3-0-0_113079_2018-02-21_final
2018-03-09 11:41:43	ga_ls7e_ard_3-0-0_113079_2018-03-09_final
2018-03-25 11:41:31	ga_ls7e_ard_3-0-0_113079_2018-03-25_final
2018-04-10 11:41:16	ga_ls7e_ard_3-0-0_113079_2018-04-10_final
2018-05-12 11:40:42	ga_ls7e_ard_3-0-0_113079_2018-05-12_final
2018-06-13 11:40:11	ga_ls7e_ard_3-0-0_113079_2018-06-13_final
2018-06-29 11:39:53	ga_ls7e_ard_3-0-0_113079_2018-06-29_final
2018-07-15 11:39:34	ga_ls7e_ard_3-0-0_113079_2018-07-15_final
2018-07-31 11:39:17	ga_ls7e_ard_3-0-0_113079_2018-07-31_final
2018-08-16 11:39:00	ga_ls7e_ard_3-0-0_113079_2018-08-16_final
2018-09-01 11:38:40	ga_ls7e_ard_3-0-0_113079_2018-09-01_final
2018-09-17 11:38:19	ga_ls7e_ard_3-0-0_113079_2018-09-17_final
2018-10-03 11:37:56	ga_ls7e_ard_3-0-0_113079_2018-10-03_final
2018-10-19 11:37:33	ga_ls7e_ard_3-0-0_113079_2018-10-19_final
2018-11-04 11:37:12	ga_ls7e_ard_3-0-0_113079_2018-11-04_final
2018-11-20 11:36:50	ga_ls7e_ard_3-0-0_113079_2018-11-20_final
2019-01-07 11:35:29	ga_ls7e_ard_3-0-0_113079_2019-01-07_final
2019-01-23 11:34:58	ga_ls7e_ard_3-0-0_113079_2019-01-23_final
2019-02-08 11:34:29	ga_ls7e_ard_3-0-0_113079_2019-02-08_final
2019-02-24 11:34:00	ga_ls7e_ard_3-1-0_113079_2019-02-24_final
2019-03-12 11:33:29	ga_ls7e_ard_3-1-0_113079_2019-03-12_final
2019-03-28 11:32:57	ga_ls7e_ard_3-1-0_113079_2019-03-28_final
2019-04-13 11:32:24	ga_ls7e_ard_3-0-0_113079_2019-04-13_final
2019-04-29 11:31:48	ga_ls7e_ard_3-0-0_113079_2019-04-29_final
2019-05-15 11:31:11	ga_ls7e_ard_3-0-0_113079_2019-05-15_final
2019-05-31 11:30:36	ga_ls7e_ard_3-0-0_113079_2019-05-31_final
2019-06-16 11:30:01	ga_ls7e_ard_3-0-0_113079_2019-06-16_final
2019-07-02 11:29:25	ga_ls7e_ard_3-0-0_113079_2019-07-02_final
2019-07-18 11:28:48	ga_ls7e_ard_3-0-0_113079_2019-07-18_final
2019-08-03 11:28:09	ga_ls7e_ard_3-0-0_113079_2019-08-03_final
2019-08-19 11:27:30	ga_ls7e_ard_3-0-0_113079_2019-08-19_final
2019-09-04 11:26:48	ga_ls7e_ard_3-1-0_113079_2019-09-04_final
2019-09-20 11:26:06	ga_ls7e_ard_3-1-0_113079_2019-09-20_final
2019-10-06 11:25:26	ga_ls7e_ard_3-1-0_113079_2019-10-06_final
2019-10-22 11:24:45	ga_ls7e_ard_3-1-0_113079_2019-10-22_final
2019-11-07 11:24:03	ga_ls7e_ard_3-1-0_113079_2019-11-07_final
2019-11-23 11:23:18	ga_ls7e_ard_3-1-0_113079_2019-11-23_final
2019-12-09 11:22:31	ga_ls7e_ard_3-1-0_113079_2019-12-09_final
2020-01-10 11:20:52	ga_ls7e_ard_3-1-0_113079_2020-01-10_final
2020-01-26 11:20:05	ga_ls7e_ard_3-1-0_113079_2020-01-26_final
2020-02-11 11:19:16	ga_ls7e_ard_3-1-0_113079_2020-02-11_final
2020-02-27 11:18:26	ga_ls7e_ard_3-1-0_113079_2020-02-27_final
2020-03-14 11:17:34	ga_ls7e_ard_3-1-0_113079_2020-03-14_final
2020-03-30 11:16:41	ga_ls7e_ard_3-1-0_113079_2020-03-30_final
2020-04-15 11:15:45	ga_ls7e_ard_3-1-0_113079_2020-04-15_final
2020-05-01 11:14:49	ga_ls7e_ard_3-1-0_113079_2020-05-01_final
2020-05-17 11:13:50	ga_ls7e_ard_3-1-0_113079_2020-05-17_final
2020-06-02 11:12:52	ga_ls7e_ard_3-1-0_113079_2020-06-02_final
2020-06-18 11:11:56	ga_ls7e_ard_3-1-0_113079_2020-06-18_final
2020-07-04 11:10:59	ga_ls7e_ard_3-1-0_113079_2020-07-04_final
2020-07-20 11:10:01	ga_ls7e_ard_3-1-0_113079_2020-07-20_final
2020-08-05 11:09:01	ga_ls7e_ard_3-1-0_113079_2020-08-05_final
2020-09-06 11:06:57	ga_ls7e_ard_3-1-0_113079_2020-09-06_final
2020-09-22 11:05:53	ga_ls7e_ard_3-1-0_113079_2020-09-22_final
2020-10-08 11:04:52	ga_ls7e_ard_3-1-0_113079_2020-10-08_final
2020-10-24 11:03:50	ga_ls7e_ard_3-1-0_113079_2020-10-24_final
2020-11-09 11:02:45	ga_ls7e_ard_3-1-0_113079_2020-11-09_final
2020-11-25 11:01:38	ga_ls7e_ard_3-1-0_113079_2020-11-25_final
2020-12-11 11:00:27	ga_ls7e_ard_3-1-0_113079_2020-12-11_final
2020-12-27 10:59:16	ga_ls7e_ard_3-1-0_113079_2020-12-27_final
2021-01-12 10:58:09	ga_ls7e_ard_3-1-0_113079_2021-01-12_final
2021-01-28 10:57:01	ga_ls7e_ard_3-2-0_113079_2021-01-28_final
2021-03-17 10:53:21	ga_ls7e_ard_3-2-0_113079_2021-03-17_final
2021-04-02 10:52:03	ga_ls7e_ard_3-2-0_113079_2021-04-02_final
2021-04-18 10:50:43	ga_ls7e_ard_3-2-0_113079_2021-04-18_final
2021-05-20 10:48:01	ga_ls7e_ard_3-2-0_113079_2021-05-20_final
2021-06-05 10:46:39	ga_ls7e_ard_3-2-0_113079_2021-06-05_final
2021-06-21 10:45:21	ga_ls7e_ard_3-2-0_113079_2021-06-21_final
2021-07-07 10:44:01	ga_ls7e_ard_3-2-0_113079_2021-07-07_final
2021-07-23 10:42:39	ga_ls7e_ard_3-2-0_113079_2021-07-23_final
2021-08-08 10:41:14	ga_ls7e_ard_3-2-0_113079_2021-08-08_final
2021-08-24 10:39:50	ga_ls7e_ard_3-2-0_113079_2021-08-24_final
2021-09-09 10:38:27	ga_ls7e_ard_3-2-0_113079_2021-09-09_final
2021-09-25 10:37:01	ga_ls7e_ard_3-2-0_113079_2021-09-25_final
2021-10-11 10:35:36	ga_ls7e_ard_3-2-0_113079_2021-10-11_final
2021-10-27 10:34:10	ga_ls7e_ard_3-2-0_113079_2021-10-27_final
2021-11-12 10:32:39	ga_ls7e_ard_3-2-1_113079_2021-11-12_final
2021-11-28 10:31:06	ga_ls7e_ard_3-2-1_113079_2021-11-28_final
2021-12-14 10:29:35	ga_ls7e_ard_3-2-1_113079_2021-12-14_final
2021-12-30 10:28:01	ga_ls7e_ard_3-2-1_113079_2021-12-30_final
2022-01-15 10:26:28	ga_ls7e_ard_3-2-1_113079_2022-01-15_final
2022-01-31 10:24:55	ga_ls7e_ard_3-2-1_113079_2022-01-31_final
2022-02-16 10:23:16	ga_ls7e_ard_3-2-1_113079_2022-02-16_final
2022-03-04 10:21:44	ga_ls7e_ard_3-2-1_113079_2022-03-04_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_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