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
2000-08-13 09:12:11	ga_ls7e_ard_3-0-0_090086_2000-08-12_final
2000-10-16 09:11:13	ga_ls7e_ard_3-0-0_090086_2000-10-15_final
2000-10-21 09:29:51	ga_ls7e_ard_3-1-0_093086_2000-10-20_final
2000-12-03 09:11:26	ga_ls7e_ard_3-0-0_090086_2000-12-02_final
2000-12-06 09:42:17	ga_ls7e_ard_3-0-0_095086_2000-12-06_final
2000-12-08 09:29:58	ga_ls7e_ard_3-1-0_093086_2000-12-07_final
2001-02-21 09:11:29	ga_ls7e_ard_3-0-0_090086_2001-02-20_final
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
2017-01-19 09:54:05	ga_ls7e_ard_3-0-0_095086_2017-01-19_final
2017-02-15 09:35:24	ga_ls7e_ard_3-0-0_092086_2017-02-15_final
2017-02-17 09:23:04	ga_ls7e_ard_3-0-0_090086_2017-02-16_final
2017-02-20 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-20_final
2017-02-22 09:41:39	ga_ls7e_ard_3-0-0_093086_2017-02-22_final
2017-02-24 09:29:18	ga_ls7e_ard_3-1-0_091086_2017-02-23_final
2017-02-26 09:16:58	ga_ls7e_ard_3-0-0_089086_2017-02-25_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-03-26 09:41:51	ga_ls7e_ard_3-0-0_093086_2017-03-26_final
2017-03-28 09:29:30	ga_ls7e_ard_3-1-0_091086_2017-03-27_final
2017-03-30 09:17:09	ga_ls7e_ard_3-0-0_089086_2017-03-29_final
2017-04-04 09:35:42	ga_ls7e_ard_3-0-0_092086_2017-04-04_final
2017-04-06 09:23:21	ga_ls7e_ard_3-0-0_090086_2017-04-05_final
2017-04-11 09:41:56	ga_ls7e_ard_3-0-0_093086_2017-04-11_final
2017-04-13 09:29:36	ga_ls7e_ard_3-1-0_091086_2017-04-12_final
2017-05-08 09:23:33	ga_ls7e_ard_3-0-0_090086_2017-05-07_final
2017-05-11 09:54:28	ga_ls7e_ard_3-0-0_095086_2017-05-11_final
2017-05-13 09:42:07	ga_ls7e_ard_3-0-0_093086_2017-05-13_final
2017-05-24 09:23:36	ga_ls7e_ard_3-0-0_090086_2017-05-23_final
2017-05-27 09:54:31	ga_ls7e_ard_3-0-0_095086_2017-05-27_final
2017-05-29 09:42:10	ga_ls7e_ard_3-0-0_093086_2017-05-29_final
2017-06-14 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-06-14_final
2017-06-16 09:29:53	ga_ls7e_ard_3-1-0_091086_2017-06-15_final
2017-06-18 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-06-17_final
2017-06-28 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-06-28_final
2017-06-30 09:42:17	ga_ls7e_ard_3-0-0_093086_2017-06-30_final
2017-07-02 09:29:55	ga_ls7e_ard_3-1-0_091086_2017-07-01_final
2017-07-09 09:36:07	ga_ls7e_ard_3-0-0_092086_2017-07-09_final
2017-07-11 09:23:45	ga_ls7e_ard_3-0-0_090086_2017-07-10_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2017-07-16 09:42:17	ga_ls7e_ard_3-0-0_093086_2017-07-16_final
2017-07-20 09:17:34	ga_ls7e_ard_3-0-0_089086_2017-07-19_final
2017-07-21 10:00:50	ga_ls7e_ard_3-1-0_096086_2017-07-21_final
2017-07-30 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-07-30_final
2017-08-01 09:42:16	ga_ls7e_ard_3-0-0_093086_2017-08-01_final
2017-08-10 09:36:04	ga_ls7e_ard_3-0-0_092086_2017-08-10_final
2017-08-12 09:23:42	ga_ls7e_ard_3-0-0_090086_2017-08-11_final
2017-08-17 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-08-17_final
2017-08-19 09:29:53	ga_ls7e_ard_3-1-0_091086_2017-08-18_final
2017-08-21 09:17:31	ga_ls7e_ard_3-0-0_089086_2017-08-20_final
2017-09-07 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-09-07_final
2017-09-13 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-09-12_final
2017-09-16 09:54:34	ga_ls7e_ard_3-0-0_095086_2017-09-16_final
2017-09-18 09:42:12	ga_ls7e_ard_3-0-0_093086_2017-09-18_final
2017-09-23 10:00:45	ga_ls7e_ard_3-1-0_096086_2017-09-23_final
2017-09-27 09:36:02	ga_ls7e_ard_3-0-0_092086_2017-09-27_final
2017-09-29 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-09-28_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-16 08:15:00	ga_ls7e_ard_3-2-0_089086_2021-08-15_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 08:13:37	ga_ls7e_ard_3-2-0_089086_2021-08-31_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-04 08:44:15	ga_ls7e_ard_3-2-0_094086_2021-09-03_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
2021-10-08 08:28:53	ga_ls7e_ard_3-2-0_092086_2021-10-07_final
2021-10-10 08:16:21	ga_ls7e_ard_3-2-0_090086_2021-10-09_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
2021-10-31 08:32:59	ga_ls7e_ard_3-2-0_093086_2021-10-30_final
2021-11-02 08:20:26	ga_ls7e_ard_3-2-0_091086_2021-11-01_final
2021-11-05 08:51:03	ga_ls7e_ard_3-2-0_096086_2021-11-04_final
2021-11-18 08:18:54	ga_ls7e_ard_3-2-1_091086_2021-11-17_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-12-11 08:22:54	ga_ls7e_ard_3-2-1_092086_2021-12-10_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-16 08:40:57	ga_ls7e_ard_3-2-1_095086_2021-12-15_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2022-02-04 08:23:42	ga_ls7e_ard_3-2-1_093086_2022-02-03_final
2022-02-06 08:11:08	ga_ls7e_ard_3-2-1_091086_2022-02-05_final
2022-02-08 07:58:35	ga_ls7e_ard_3-2-1_089086_2022-02-07_final
2022-02-09 08:41:44	ga_ls7e_ard_3-2-1_096086_2022-02-08_final
2022-02-11 08:29:10	ga_ls7e_ard_3-2-1_094086_2022-02-10_final
2022-02-15 08:04:01	ga_ls7e_ard_3-2-1_090086_2022-02-14_final
2022-02-20 08:22:05	ga_ls7e_ard_3-2-1_093086_2022-02-19_final
2022-02-22 08:09:32	ga_ls7e_ard_3-2-1_091086_2022-02-21_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-13 08:38:34	ga_ls7e_ard_3-2-1_096086_2022-03-12_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_final
2022-03-17 08:13:26	ga_ls7e_ard_3-2-1_092086_2022-03-16_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_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