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
2008-01-01 09:05:15	ga_ls7e_ard_3-0-0_089086_2007-12-31_final
2008-01-02 09:48:31	ga_ls7e_ard_3-1-0_096086_2008-01-02_final
2008-01-04 09:36:10	ga_ls7e_ard_3-0-0_094086_2008-01-04_final
2008-01-06 09:23:48	ga_ls7e_ard_3-0-0_092086_2008-01-05_final
2008-03-08 09:35:58	ga_ls7e_ard_3-0-0_094086_2008-03-08_final
2008-03-10 09:23:35	ga_ls7e_ard_3-0-0_092086_2008-03-09_final
2008-04-13 09:11:13	ga_ls7e_ard_3-0-0_090086_2008-04-12_final
2008-04-20 09:17:23	ga_ls7e_ard_3-1-0_091086_2008-04-19_final
2008-04-29 09:11:10	ga_ls7e_ard_3-0-0_090086_2008-04-28_final
2008-05-15 09:11:05	ga_ls7e_ard_3-0-0_090086_2008-05-14_final
2017-01-14 09:35:36	ga_ls7e_ard_3-0-0_092086_2017-01-14_final
2017-01-16 09:23:13	ga_ls7e_ard_3-0-0_090086_2017-01-15_final
2017-01-19 09:54:05	ga_ls7e_ard_3-0-0_095086_2017-01-19_final
2017-01-23 09:29:19	ga_ls7e_ard_3-1-0_091086_2017-01-22_final
2017-02-20 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-20_final
2017-03-08 09:54:07	ga_ls7e_ard_3-0-0_095086_2017-03-08_final
2017-03-10 09:41:46	ga_ls7e_ard_3-0-0_093086_2017-03-10_final
2017-03-12 09:29:25	ga_ls7e_ard_3-1-0_091086_2017-03-11_final
2017-03-14 09:17:04	ga_ls7e_ard_3-0-0_089086_2017-03-13_final
2017-03-15 10:00:21	ga_ls7e_ard_3-1-0_096086_2017-03-15_final
2017-04-09 09:54:17	ga_ls7e_ard_3-0-0_095086_2017-04-09_final
2017-05-15 09:29:45	ga_ls7e_ard_3-1-0_091086_2017-05-14_final
2017-05-17 09:17:24	ga_ls7e_ard_3-0-0_089086_2017-05-16_final
2017-06-02 09:17:28	ga_ls7e_ard_3-0-0_089086_2017-06-01_final
2017-06-25 09:23:44	ga_ls7e_ard_3-0-0_090086_2017-06-24_final
2017-08-05 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-08-04_final
2017-08-31 09:54:36	ga_ls7e_ard_3-0-0_095086_2017-08-31_final
2017-09-02 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-09-02_final
2017-10-04 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-10-04_final
2017-10-15 09:23:43	ga_ls7e_ard_3-0-0_090086_2017-10-14_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-08-21 08:33:06	ga_ls7e_ard_3-2-0_092086_2021-08-20_final
2021-08-23 08:20:11	ga_ls7e_ard_3-2-0_090085_2021-08-22_final
2021-08-23 08:20:34	ga_ls7e_ard_3-2-0_090086_2021-08-22_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-08-28 08:38:41	ga_ls7e_ard_3-2-0_093086_2021-08-27_final
2021-08-30 08:26:09	ga_ls7e_ard_3-2-0_091086_2021-08-29_final
2021-09-01 08:13:13	ga_ls7e_ard_3-2-0_089085_2021-08-31_final
2021-09-01 08:13:37	ga_ls7e_ard_3-2-0_089086_2021-08-31_final
2021-09-02 08:56:24	ga_ls7e_ard_3-2-0_096085_2021-09-01_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-04 08:43:52	ga_ls7e_ard_3-2-0_094085_2021-09-03_final
2021-09-04 08:44:15	ga_ls7e_ard_3-2-0_094086_2021-09-03_final
2021-09-06 08:31:43	ga_ls7e_ard_3-2-0_092086_2021-09-05_final
2021-09-08 08:18:47	ga_ls7e_ard_3-2-0_090085_2021-09-07_final
2021-09-08 08:19:11	ga_ls7e_ard_3-2-0_090086_2021-09-07_final
2021-09-15 08:24:21	ga_ls7e_ard_3-2-0_091085_2021-09-14_final
2021-09-15 08:24:45	ga_ls7e_ard_3-2-0_091086_2021-09-14_final
2021-09-18 08:54:59	ga_ls7e_ard_3-2-0_096085_2021-09-17_final
2021-09-18 08:55:23	ga_ls7e_ard_3-2-0_096086_2021-09-17_final
2021-09-20 08:42:27	ga_ls7e_ard_3-2-0_094085_2021-09-19_final
2021-09-20 08:42:50	ga_ls7e_ard_3-2-0_094086_2021-09-19_final
2021-09-22 08:30:18	ga_ls7e_ard_3-2-0_092086_2021-09-21_final
2021-09-25 09:00:32	ga_ls7e_ard_3-2-0_097085_2021-09-24_final
2021-09-27 08:47:59	ga_ls7e_ard_3-2-0_095085_2021-09-26_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-10-06 08:41:01	ga_ls7e_ard_3-2-0_094085_2021-10-05_final
2021-10-08 08:28:53	ga_ls7e_ard_3-2-0_092086_2021-10-07_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-10 08:16:21	ga_ls7e_ard_3-2-0_090086_2021-10-09_final
2021-10-13 08:46:35	ga_ls7e_ard_3-2-0_095085_2021-10-12_final
2021-10-13 08:46:59	ga_ls7e_ard_3-2-0_095086_2021-10-12_final
2021-10-15 08:34:27	ga_ls7e_ard_3-2-0_093086_2021-10-14_final
2021-10-26 08:14:31	ga_ls7e_ard_3-2-0_090085_2021-10-25_final
2021-10-26 08:14:54	ga_ls7e_ard_3-2-0_090086_2021-10-25_final
2021-10-27 08:57:41	ga_ls7e_ard_3-2-0_097085_2021-10-26_final
2021-10-31 08:32:59	ga_ls7e_ard_3-2-0_093086_2021-10-30_final
2021-11-02 08:20:02	ga_ls7e_ard_3-2-0_091085_2021-11-01_final
2021-11-02 08:20:26	ga_ls7e_ard_3-2-0_091086_2021-11-01_final
2021-11-05 08:50:39	ga_ls7e_ard_3-2-0_096085_2021-11-04_final
2021-11-05 08:51:03	ga_ls7e_ard_3-2-0_096086_2021-11-04_final
2021-11-07 08:38:06	ga_ls7e_ard_3-2-0_094085_2021-11-06_final
2021-11-18 08:18:30	ga_ls7e_ard_3-2-1_091085_2021-11-17_final
2021-11-18 08:18:54	ga_ls7e_ard_3-2-1_091086_2021-11-17_final
2021-11-21 08:49:06	ga_ls7e_ard_3-2-1_096085_2021-11-20_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-11-30 08:42:04	ga_ls7e_ard_3-2-1_095085_2021-11-29_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-12-02 08:29:31	ga_ls7e_ard_3-2-1_093085_2021-12-01_final
2021-12-02 08:29:55	ga_ls7e_ard_3-2-1_093086_2021-12-01_final
2021-12-04 08:16:59	ga_ls7e_ard_3-2-1_091085_2021-12-03_final
2021-12-04 08:17:23	ga_ls7e_ard_3-2-1_091086_2021-12-03_final
2021-12-05 09:00:08	ga_ls7e_ard_3-2-1_098085_2021-12-04_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_final
2021-12-06 08:04:50	ga_ls7e_ard_3-2-1_089086_2021-12-05_final
2021-12-21 08:58:36	ga_ls7e_ard_3-2-1_098085_2021-12-20_final
2021-12-23 08:46:03	ga_ls7e_ard_3-2-1_096085_2021-12-22_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-25 08:33:53	ga_ls7e_ard_3-2-1_094086_2021-12-24_final
2021-12-27 08:21:20	ga_ls7e_ard_3-2-1_092086_2021-12-26_final
2022-01-05 08:13:50	ga_ls7e_ard_3-2-1_091085_2022-01-04_final
2022-02-27 08:27:12	ga_ls7e_ard_3-2-1_094085_2022-02-26_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-01 08:15:03	ga_ls7e_ard_3-2-1_092086_2022-02-28_final
2022-03-03 08:02:06	ga_ls7e_ard_3-2-1_090085_2022-03-02_final
2022-03-08 08:20:08	ga_ls7e_ard_3-2-1_093085_2022-03-07_final
2022-03-08 08:20:32	ga_ls7e_ard_3-2-1_093086_2022-03-07_final
2022-03-22 08:31:07	ga_ls7e_ard_3-2-1_095085_2022-03-21_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_2022-03-23_final
2022-03-24 08:18:58	ga_ls7e_ard_3-2-1_093086_2022-03-23_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