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
2014-03-29 09:18:03	ga_ls7e_ard_3-0-0_090086_2014-03-28_final
2014-04-01 09:48:58	ga_ls7e_ard_3-0-0_095086_2014-04-01_final
2014-04-24 09:55:21	ga_ls7e_ard_3-1-0_096086_2014-04-24_final
2014-05-12 09:43:06	ga_ls7e_ard_3-0-0_094086_2014-05-12_final
2014-05-14 09:30:46	ga_ls7e_ard_3-0-0_092086_2014-05-14_final
2014-05-16 09:18:25	ga_ls7e_ard_3-0-0_090086_2014-05-15_final
2014-05-25 09:12:16	ga_ls7e_ard_3-0-0_089086_2014-05-24_final
2014-05-30 09:30:50	ga_ls7e_ard_3-0-0_092086_2014-05-30_final
2014-06-06 09:37:02	ga_ls7e_ard_3-0-0_093086_2014-06-06_final
2014-06-08 09:24:41	ga_ls7e_ard_3-1-0_091086_2014-06-07_final
2014-06-29 09:43:18	ga_ls7e_ard_3-0-0_094086_2014-06-29_final
2014-07-03 09:18:36	ga_ls7e_ard_3-0-0_090086_2014-07-02_final
2014-07-17 09:30:58	ga_ls7e_ard_3-0-0_092086_2014-07-17_final
2014-07-19 09:18:38	ga_ls7e_ard_3-0-0_090086_2014-07-18_final
2014-09-08 09:49:38	ga_ls7e_ard_3-0-0_095086_2014-09-08_final
2014-09-30 09:12:45	ga_ls7e_ard_3-0-0_089086_2014-09-29_final
2014-10-01 09:56:02	ga_ls7e_ard_3-1-0_096086_2014-10-01_final
2014-10-16 09:12:54	ga_ls7e_ard_3-0-0_089086_2014-10-15_final
2014-10-17 09:56:10	ga_ls7e_ard_3-1-0_096086_2014-10-17_final
2016-05-17 09:48:12	ga_ls7e_ard_3-0-0_094086_2016-05-17_final
2016-05-19 09:35:28	ga_ls7e_ard_3-0-0_092085_2016-05-19_final
2016-06-02 09:48:19	ga_ls7e_ard_3-0-0_094086_2016-06-02_final
2016-11-06 09:17:32	ga_ls7e_ard_3-0-0_089086_2016-11-05_final
2018-02-23 09:53:26	ga_ls7e_ard_3-0-0_095086_2018-02-23_final
2018-02-25 09:40:39	ga_ls7e_ard_3-0-0_093085_2018-02-25_final
2018-02-25 09:41:03	ga_ls7e_ard_3-0-0_093086_2018-02-25_final
2018-03-29 09:40:15	ga_ls7e_ard_3-0-0_093085_2018-03-29_final
2018-03-29 09:40:39	ga_ls7e_ard_3-0-0_093086_2018-03-29_final
2018-03-31 09:28:15	ga_ls7e_ard_3-1-0_091086_2018-03-30_final
2018-05-30 09:51:35	ga_ls7e_ard_3-0-0_095085_2018-05-30_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-06-01 09:39:35	ga_ls7e_ard_3-0-0_093086_2018-06-01_final
2018-06-15 09:51:18	ga_ls7e_ard_3-0-0_095085_2018-06-15_final
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-06-19 09:26:30	ga_ls7e_ard_3-0-0_091085_2018-06-18_final
2018-06-19 09:26:54	ga_ls7e_ard_3-1-0_091086_2018-06-18_final
2018-08-25 09:56:09	ga_ls7e_ard_3-0-0_096085_2018-08-25_final
2018-08-25 09:56:33	ga_ls7e_ard_3-1-0_096086_2018-08-25_final
2018-08-27 09:44:09	ga_ls7e_ard_3-0-0_094086_2018-08-27_final
2018-08-29 09:31:21	ga_ls7e_ard_3-0-0_092085_2018-08-29_final
2018-08-29 09:31:45	ga_ls7e_ard_3-0-0_092086_2018-08-29_final
2018-09-01 10:02:11	ga_ls7e_ard_3-0-0_097085_2018-09-01_final
2018-09-07 09:25:22	ga_ls7e_ard_3-1-0_091086_2018-09-06_final
2018-09-09 09:12:34	ga_ls7e_ard_3-0-0_089085_2018-09-08_final
2019-06-15 09:10:19	ga_ls7e_ard_3-0-0_090085_2019-06-14_final
2019-06-15 09:10:43	ga_ls7e_ard_3-0-0_090086_2019-06-14_final
2019-06-16 09:53:32	ga_ls7e_ard_3-0-0_097085_2019-06-16_final
2019-06-24 09:04:12	ga_ls7e_ard_3-0-0_089086_2019-06-23_final
2019-06-25 09:47:01	ga_ls7e_ard_3-0-0_096085_2019-06-25_final
2019-06-25 09:47:25	ga_ls7e_ard_3-1-0_096086_2019-06-25_final
2019-06-27 09:34:35	ga_ls7e_ard_3-0-0_094085_2019-06-27_final
2019-06-27 09:34:59	ga_ls7e_ard_3-0-0_094086_2019-06-27_final
2019-07-01 09:09:43	ga_ls7e_ard_3-1-0_090085_2019-06-30_final
2019-07-01 09:10:07	ga_ls7e_ard_3-0-0_090086_2019-06-30_final
2019-07-09 09:58:51	ga_ls7e_ard_3-0-0_098085_2019-07-09_final
2019-07-10 09:03:11	ga_ls7e_ard_3-0-0_089085_2019-07-09_final
2019-07-10 09:03:35	ga_ls7e_ard_3-0-0_089086_2019-07-09_final
2019-10-05 09:05:43	ga_ls7e_ard_3-1-0_090085_2019-10-04_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-10-24 09:35:49	ga_ls7e_ard_3-1-0_095085_2019-10-24_final
2019-10-24 09:36:13	ga_ls7e_ard_3-1-0_095086_2019-10-24_final
2019-10-26 09:23:22	ga_ls7e_ard_3-1-0_093085_2019-10-25_final
2019-10-26 09:23:46	ga_ls7e_ard_3-1-0_093086_2019-10-25_final
2019-10-28 09:10:55	ga_ls7e_ard_3-1-0_091085_2019-10-27_final
2019-10-28 09:11:19	ga_ls7e_ard_3-1-0_091086_2019-10-27_final
2019-10-29 09:54:08	ga_ls7e_ard_3-1-0_098085_2019-10-29_final
2019-10-30 08:58:29	ga_ls7e_ard_3-1-0_089085_2019-10-29_final
2019-10-30 08:58:53	ga_ls7e_ard_3-1-0_089086_2019-10-29_final
2019-11-06 09:04:21	ga_ls7e_ard_3-1-0_090085_2019-11-05_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2019-11-07 09:47:33	ga_ls7e_ard_3-1-0_097085_2019-11-07_final
2019-11-11 09:22:39	ga_ls7e_ard_3-1-0_093085_2019-11-10_final
2019-11-11 09:23:03	ga_ls7e_ard_3-1-0_093086_2019-11-10_final
2019-11-13 09:10:12	ga_ls7e_ard_3-1-0_091085_2019-11-12_final
2019-11-13 09:10:36	ga_ls7e_ard_3-1-0_091086_2019-11-12_final
2019-11-15 08:57:45	ga_ls7e_ard_3-1-0_089085_2019-11-14_final
2019-11-15 08:58:09	ga_ls7e_ard_3-1-0_089086_2019-11-14_final
2019-11-27 09:21:54	ga_ls7e_ard_3-1-0_093085_2019-11-26_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-11-29 09:09:27	ga_ls7e_ard_3-1-0_091085_2019-11-28_final
2019-11-29 09:09:51	ga_ls7e_ard_3-1-0_091086_2019-11-28_final
2019-11-30 09:52:39	ga_ls7e_ard_3-1-0_098085_2019-11-30_final
2019-12-01 08:56:59	ga_ls7e_ard_3-1-0_089085_2019-11-30_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_final
2019-12-06 09:15:17	ga_ls7e_ard_3-1-0_092085_2019-12-05_final
2019-12-11 09:33:34	ga_ls7e_ard_3-1-0_095085_2019-12-11_final
2019-12-11 09:33:58	ga_ls7e_ard_3-1-0_095086_2019-12-11_final
2019-12-13 09:21:07	ga_ls7e_ard_3-1-0_093085_2019-12-12_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-15 09:08:39	ga_ls7e_ard_3-1-0_091085_2019-12-14_final
2019-12-15 09:09:03	ga_ls7e_ard_3-1-0_091086_2019-12-14_final
2019-12-16 09:51:52	ga_ls7e_ard_3-1-0_098085_2019-12-16_final
2019-12-17 08:56:11	ga_ls7e_ard_3-1-0_089085_2019-12-16_final
2019-12-17 08:56:35	ga_ls7e_ard_3-1-0_089086_2019-12-16_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2019-12-24 09:02:24	ga_ls7e_ard_3-1-0_090086_2019-12-23_final
2019-12-25 09:45:13	ga_ls7e_ard_3-1-0_097085_2019-12-25_final
2020-01-07 09:13:38	ga_ls7e_ard_3-1-0_092085_2020-01-06_final
2020-01-07 09:14:02	ga_ls7e_ard_3-1-0_092086_2020-01-06_final
2020-01-09 09:01:10	ga_ls7e_ard_3-1-0_090085_2020-01-08_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