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
2005-03-25 09:28:55	ga_ls7e_ard_3-0-0_093085_2005-03-24_final
2005-03-25 09:29:19	ga_ls7e_ard_3-0-0_093086_2005-03-24_final
2005-03-27 09:16:33	ga_ls7e_ard_3-0-0_091085_2005-03-26_final
2005-03-27 09:16:57	ga_ls7e_ard_3-1-0_091086_2005-03-26_final
2005-03-28 09:59:48	ga_ls7e_ard_3-0-0_098085_2005-03-28_final
2005-04-28 09:16:26	ga_ls7e_ard_3-0-0_091085_2005-04-27_final
2005-04-28 09:16:50	ga_ls7e_ard_3-1-0_091086_2005-04-27_final
2005-04-29 09:59:42	ga_ls7e_ard_3-0-0_098085_2005-04-29_final
2005-04-30 09:04:05	ga_ls7e_ard_3-0-0_089085_2005-04-29_final
2005-04-30 09:04:29	ga_ls7e_ard_3-0-0_089086_2005-04-29_final
2005-05-21 09:22:39	ga_ls7e_ard_3-0-0_092085_2005-05-20_final
2005-05-23 09:10:17	ga_ls7e_ard_3-1-0_090085_2005-05-22_final
2005-05-23 09:10:41	ga_ls7e_ard_3-0-0_090086_2005-05-22_final
2005-05-24 09:53:33	ga_ls7e_ard_3-0-0_097085_2005-05-24_final
2005-05-26 09:41:10	ga_ls7e_ard_3-0-0_095085_2005-05-26_final
2005-05-28 09:29:12	ga_ls7e_ard_3-0-0_093086_2005-05-27_final
2005-05-30 09:16:26	ga_ls7e_ard_3-0-0_091085_2005-05-29_final
2005-05-30 09:16:50	ga_ls7e_ard_3-1-0_091086_2005-05-29_final
2005-06-15 09:16:19	ga_ls7e_ard_3-0-0_091085_2005-06-14_final
2005-06-15 09:16:43	ga_ls7e_ard_3-1-0_091086_2005-06-14_final
2005-06-16 09:59:34	ga_ls7e_ard_3-0-0_098085_2005-06-16_final
2005-06-17 09:03:57	ga_ls7e_ard_3-0-0_089085_2005-06-16_final
2005-06-17 09:04:21	ga_ls7e_ard_3-0-0_089086_2005-06-16_final
2005-06-27 09:40:59	ga_ls7e_ard_3-0-0_095085_2005-06-27_final
2005-06-27 09:41:23	ga_ls7e_ard_3-0-0_095086_2005-06-27_final
2005-06-29 09:28:37	ga_ls7e_ard_3-0-0_093085_2005-06-28_final
2005-06-29 09:29:01	ga_ls7e_ard_3-0-0_093086_2005-06-28_final
2005-07-17 09:16:18	ga_ls7e_ard_3-0-0_091085_2005-07-16_final
2005-07-17 09:16:42	ga_ls7e_ard_3-1-0_091086_2005-07-16_final
2005-07-24 09:22:28	ga_ls7e_ard_3-0-0_092085_2005-07-23_final
2005-07-26 09:10:06	ga_ls7e_ard_3-1-0_090085_2005-07-25_final
2005-07-26 09:10:30	ga_ls7e_ard_3-0-0_090086_2005-07-25_final
2005-07-27 09:53:22	ga_ls7e_ard_3-0-0_097085_2005-07-27_final
2005-09-04 09:59:18	ga_ls7e_ard_3-0-0_098085_2005-09-04_final
2005-09-06 09:46:55	ga_ls7e_ard_3-0-0_096085_2005-09-06_final
2005-09-06 09:47:19	ga_ls7e_ard_3-1-0_096086_2005-09-06_final
2005-09-08 09:34:32	ga_ls7e_ard_3-0-0_094085_2005-09-08_final
2005-09-08 09:34:56	ga_ls7e_ard_3-0-0_094086_2005-09-08_final
2018-02-16 09:47:19	ga_ls7e_ard_3-0-0_094086_2018-02-16_final
2018-02-18 09:34:56	ga_ls7e_ard_3-0-0_092086_2018-02-18_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
2018-08-02 09:50:24	ga_ls7e_ard_3-0-0_095085_2018-08-02_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2019-02-19 09:39:07	ga_ls7e_ard_3-1-0_094085_2019-02-19_final
2019-02-19 09:39:31	ga_ls7e_ard_3-1-0_094086_2019-02-19_final
2019-02-21 09:27:06	ga_ls7e_ard_3-1-0_092086_2019-02-20_final
2019-02-23 09:14:41	ga_ls7e_ard_3-1-0_090086_2019-02-22_final
2019-03-21 09:50:32	ga_ls7e_ard_3-1-0_096085_2019-03-21_final
2019-03-23 09:38:06	ga_ls7e_ard_3-1-0_094085_2019-03-23_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-03-28 09:56:28	ga_ls7e_ard_3-1-0_097085_2019-03-28_final
2019-06-13 09:22:45	ga_ls7e_ard_3-0-0_092085_2019-06-12_final
2019-06-13 09:23:09	ga_ls7e_ard_3-0-0_092086_2019-06-12_final
2019-06-18 09:41:06	ga_ls7e_ard_3-0-0_095085_2019-06-18_final
2019-06-18 09:41:30	ga_ls7e_ard_3-0-0_095086_2019-06-18_final
2019-06-22 09:16:14	ga_ls7e_ard_3-0-0_091085_2019-06-21_final
2019-06-22 09:16:38	ga_ls7e_ard_3-1-0_091086_2019-06-21_final
2019-07-04 09:40:30	ga_ls7e_ard_3-0-0_095085_2019-07-04_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-06 09:28:04	ga_ls7e_ard_3-0-0_093085_2019-07-05_final
2019-07-06 09:28:28	ga_ls7e_ard_3-0-0_093086_2019-07-05_final
2019-07-11 09:46:24	ga_ls7e_ard_3-0-0_096085_2019-07-11_final
2019-07-13 09:33:58	ga_ls7e_ard_3-0-0_094085_2019-07-13_final
2019-07-13 09:34:22	ga_ls7e_ard_3-0-0_094086_2019-07-13_final
2019-07-26 09:02:33	ga_ls7e_ard_3-0-0_089085_2019-07-25_final
2019-07-26 09:02:57	ga_ls7e_ard_3-0-0_089086_2019-07-25_final
2019-07-31 09:20:54	ga_ls7e_ard_3-0-0_092085_2019-07-30_final
2019-07-31 09:21:17	ga_ls7e_ard_3-0-0_092086_2019-07-30_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-22 09:37:34	ga_ls7e_ard_3-1-0_095086_2019-09-22_final
2019-09-24 09:25:07	ga_ls7e_ard_3-1-0_093086_2019-09-23_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-09-28 09:00:14	ga_ls7e_ard_3-1-0_089086_2019-09-27_final
2019-10-01 09:31:00	ga_ls7e_ard_3-1-0_094086_2019-10-01_final
2019-10-03 09:18:10	ga_ls7e_ard_3-1-0_092085_2019-10-02_final
2019-10-03 09:18:34	ga_ls7e_ard_3-1-0_092086_2019-10-02_final
2019-10-15 09:42:23	ga_ls7e_ard_3-1-0_096085_2019-10-15_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
2019-11-16 09:40:58	ga_ls7e_ard_3-1-0_096085_2019-11-16_final
2019-11-18 09:28:31	ga_ls7e_ard_3-1-0_094085_2019-11-17_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-20 09:16:27	ga_ls7e_ard_3-1-0_092086_2019-11-19_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
2020-01-01 09:51:02	ga_ls7e_ard_3-1-0_098085_2020-01-01_final
2020-01-02 08:55:21	ga_ls7e_ard_3-1-0_089085_2020-01-01_final
2020-01-02 08:55:45	ga_ls7e_ard_3-1-0_089086_2020-01-01_final
2020-01-03 09:38:34	ga_ls7e_ard_3-1-0_096085_2020-01-03_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