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
2013-10-09 09:35:34	ga_ls7e_ard_3-0-0_093086_2013-10-09_final
2013-10-11 09:23:14	ga_ls7e_ard_3-1-0_091086_2013-10-10_final
2013-10-13 09:10:30	ga_ls7e_ard_3-0-0_089085_2013-10-12_final
2013-10-13 09:10:53	ga_ls7e_ard_3-0-0_089086_2013-10-12_final
2013-10-14 09:53:46	ga_ls7e_ard_3-0-0_096085_2013-10-14_final
2013-10-14 09:54:10	ga_ls7e_ard_3-1-0_096086_2013-10-14_final
2013-10-27 09:22:56	ga_ls7e_ard_3-0-0_091085_2013-10-26_final
2013-10-27 09:23:20	ga_ls7e_ard_3-1-0_091086_2013-10-26_final
2014-01-04 09:41:51	ga_ls7e_ard_3-0-0_094085_2014-01-04_final
2014-01-04 09:42:15	ga_ls7e_ard_3-0-0_094086_2014-01-04_final
2014-01-06 09:29:29	ga_ls7e_ard_3-0-0_092085_2014-01-05_final
2014-01-22 09:29:46	ga_ls7e_ard_3-0-0_092085_2014-01-21_final
2014-01-22 09:30:10	ga_ls7e_ard_3-1-0_092086_2014-01-22_final
2014-02-16 09:24:01	ga_ls7e_ard_3-1-0_091086_2014-02-15_final
2014-02-17 10:06:51	ga_ls7e_ard_3-0-0_098085_2014-02-17_final
2014-03-20 09:23:46	ga_ls7e_ard_3-0-0_091085_2014-03-19_final
2014-03-20 09:24:10	ga_ls7e_ard_3-1-0_091086_2014-03-19_final
2014-03-21 10:07:02	ga_ls7e_ard_3-0-0_098085_2014-03-21_final
2014-03-22 09:11:49	ga_ls7e_ard_3-0-0_089086_2014-03-21_final
2014-03-23 09:54:41	ga_ls7e_ard_3-0-0_096085_2014-03-23_final
2014-05-08 10:07:22	ga_ls7e_ard_3-0-0_098085_2014-05-08_final
2014-05-09 09:11:46	ga_ls7e_ard_3-0-0_089085_2014-05-08_final
2014-05-09 09:12:10	ga_ls7e_ard_3-0-0_089086_2014-05-08_final
2014-05-10 09:55:02	ga_ls7e_ard_3-0-0_096085_2014-05-10_final
2014-05-10 09:55:26	ga_ls7e_ard_3-1-0_096086_2014-05-10_final
2014-05-23 09:24:14	ga_ls7e_ard_3-0-0_091085_2014-05-22_final
2014-05-23 09:24:38	ga_ls7e_ard_3-1-0_091086_2014-05-22_final
2014-05-24 10:07:30	ga_ls7e_ard_3-0-0_098085_2014-05-24_final
2014-08-25 09:36:51	ga_ls7e_ard_3-0-0_093085_2014-08-25_final
2014-08-27 09:24:28	ga_ls7e_ard_3-0-0_091085_2014-08-26_final
2014-08-27 09:24:52	ga_ls7e_ard_3-1-0_091086_2014-08-26_final
2014-11-01 09:12:40	ga_ls7e_ard_3-0-0_089085_2014-10-31_final
2017-06-01 10:12:41	ga_ls7e_ard_3-0-0_098085_2017-06-01_final
2017-06-02 09:17:04	ga_ls7e_ard_3-0-0_089085_2017-06-01_final
2017-06-02 09:17:28	ga_ls7e_ard_3-0-0_089086_2017-06-01_final
2017-06-03 10:00:20	ga_ls7e_ard_3-0-0_096085_2017-06-03_final
2017-06-03 10:00:44	ga_ls7e_ard_3-1-0_096086_2017-06-03_final
2017-07-02 09:29:31	ga_ls7e_ard_3-0-0_091085_2017-07-01_final
2017-07-02 09:29:55	ga_ls7e_ard_3-1-0_091086_2017-07-01_final
2017-07-04 09:17:10	ga_ls7e_ard_3-0-0_089085_2017-07-03_final
2017-07-04 09:17:34	ga_ls7e_ard_3-0-0_089086_2017-07-03_final
2017-09-13 09:23:17	ga_ls7e_ard_3-1-0_090085_2017-09-12_final
2017-09-13 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-09-12_final
2017-09-14 10:06:32	ga_ls7e_ard_3-0-0_097085_2017-09-14_final
2017-09-21 10:12:42	ga_ls7e_ard_3-0-0_098085_2017-09-21_final
2017-09-22 09:17:05	ga_ls7e_ard_3-0-0_089085_2017-09-21_final
2017-09-22 09:17:29	ga_ls7e_ard_3-0-0_089086_2017-09-21_final
2017-09-23 10:00:21	ga_ls7e_ard_3-0-0_096085_2017-09-23_final
2017-09-23 10:00:45	ga_ls7e_ard_3-1-0_096086_2017-09-23_final
2017-10-15 09:23:19	ga_ls7e_ard_3-1-0_090085_2017-10-14_final
2017-10-15 09:23:43	ga_ls7e_ard_3-0-0_090086_2017-10-14_final
2017-11-30 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-11-30_final
2017-11-30 09:35:57	ga_ls7e_ard_3-0-0_092086_2017-11-30_final
2017-12-03 10:06:26	ga_ls7e_ard_3-0-0_097085_2017-12-03_final
2017-12-07 09:41:40	ga_ls7e_ard_3-0-0_093085_2017-12-07_final
2017-12-07 09:42:04	ga_ls7e_ard_3-0-0_093086_2017-12-07_final
2017-12-09 09:29:18	ga_ls7e_ard_3-0-0_091085_2017-12-08_final
2017-12-09 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-12-08_final
2017-12-10 10:12:33	ga_ls7e_ard_3-0-0_098085_2017-12-10_final
2017-12-11 09:16:55	ga_ls7e_ard_3-0-0_089085_2017-12-10_final
2017-12-12 10:00:10	ga_ls7e_ard_3-0-0_096085_2017-12-12_final
2017-12-12 10:00:34	ga_ls7e_ard_3-1-0_096086_2017-12-12_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2018-05-27 09:21:08	ga_ls7e_ard_3-0-0_090086_2018-05-26_final
2018-05-28 10:03:58	ga_ls7e_ard_3-0-0_097085_2018-05-28_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 09:39:11	ga_ls7e_ard_3-0-0_093085_2018-06-01_final
2018-06-01 09:39:35	ga_ls7e_ard_3-0-0_093086_2018-06-01_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
2018-06-20 10:09:45	ga_ls7e_ard_3-0-0_098085_2018-06-20_final
2018-08-09 09:56:27	ga_ls7e_ard_3-0-0_096085_2018-08-09_final
2018-08-11 09:44:04	ga_ls7e_ard_3-0-0_094085_2018-08-11_final
2018-08-11 09:44:28	ga_ls7e_ard_3-0-0_094086_2018-08-11_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2018-08-16 10:02:30	ga_ls7e_ard_3-0-0_097085_2018-08-16_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 08:29:54	ga_ls7e_ard_3-2-0_092085_2021-09-21_final
2021-09-22 08:30:18	ga_ls7e_ard_3-2-0_092086_2021-09-21_final
2021-12-27 08:20:56	ga_ls7e_ard_3-2-1_092085_2021-12-26_final
2021-12-27 08:21:20	ga_ls7e_ard_3-2-1_092086_2021-12-26_final
2021-12-29 08:08:22	ga_ls7e_ard_3-2-1_090085_2021-12-28_final
2021-12-29 08:08:46	ga_ls7e_ard_3-2-1_090086_2021-12-28_final
2021-12-30 08:51:32	ga_ls7e_ard_3-2-1_097085_2021-12-29_final
2022-01-05 08:13:50	ga_ls7e_ard_3-2-1_091085_2022-01-04_final
2022-01-10 08:31:55	ga_ls7e_ard_3-2-1_094085_2022-01-09_final
2022-01-10 08:32:19	ga_ls7e_ard_3-2-1_094086_2022-01-09_final
2022-03-11 08:50:44	ga_ls7e_ard_3-2-1_098085_2022-03-10_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_final
2022-03-29 08:37:02	ga_ls7e_ard_3-2-1_096086_2022-03-28_final
2022-03-31 08:24:05	ga_ls7e_ard_3-2-1_094085_2022-03-30_final
2022-03-31 08:24:29	ga_ls7e_ard_3-2-1_094086_2022-03-30_final
2022-04-04 07:58:58	ga_ls7e_ard_3-2-1_090085_2022-04-03_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