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
2000-03-13 09:19:50	ga_ls7e_ard_3-1-0_091086_2000-03-12_final
2000-03-13 09:20:14	ga_ls7e_ard_3-0-0_091087_2000-03-12_final
2000-03-15 09:07:28	ga_ls7e_ard_3-0-0_089086_2000-03-14_final
2000-03-18 09:38:24	ga_ls7e_ard_3-0-0_094086_2000-03-18_final
2000-03-18 09:38:48	ga_ls7e_ard_3-0-0_094087_2000-03-18_final
2000-04-03 09:38:17	ga_ls7e_ard_3-0-0_094086_2000-04-03_final
2000-04-03 09:38:41	ga_ls7e_ard_3-1-0_094087_2000-04-03_final
2000-04-05 09:25:53	ga_ls7e_ard_3-0-0_092086_2000-04-04_final
2000-04-05 09:26:17	ga_ls7e_ard_3-0-0_092087_2000-04-04_final
2000-04-16 09:07:12	ga_ls7e_ard_3-0-0_089086_2000-04-15_final
2000-04-17 09:50:27	ga_ls7e_ard_3-1-0_096086_2000-04-17_final
2000-05-02 09:07:11	ga_ls7e_ard_3-0-0_089086_2000-05-01_final
2000-05-03 09:50:26	ga_ls7e_ard_3-1-0_096086_2000-05-03_final
2000-05-16 09:19:23	ga_ls7e_ard_3-1-0_091086_2000-05-15_final
2000-05-16 09:19:47	ga_ls7e_ard_3-0-0_091087_2000-05-15_final
2000-05-18 09:07:00	ga_ls7e_ard_3-0-0_089086_2000-05-17_final
2000-06-03 09:06:48	ga_ls7e_ard_3-0-0_089086_2000-06-02_final
2000-06-04 09:50:03	ga_ls7e_ard_3-1-0_096086_2000-06-04_final
2000-06-17 09:19:07	ga_ls7e_ard_3-1-0_091086_2000-06-16_final
2000-06-17 09:19:31	ga_ls7e_ard_3-0-0_091087_2000-06-16_final
2000-06-22 09:38:00	ga_ls7e_ard_3-0-0_094087_2000-06-22_final
2000-08-04 09:18:24	ga_ls7e_ard_3-1-0_091086_2000-08-03_final
2000-08-04 09:18:48	ga_ls7e_ard_3-0-0_091087_2000-08-03_final
2000-08-11 09:24:32	ga_ls7e_ard_3-0-0_092086_2000-08-10_final
2000-08-13 09:12:11	ga_ls7e_ard_3-0-0_090086_2000-08-12_final
2000-08-16 09:43:04	ga_ls7e_ard_3-0-0_095086_2000-08-16_final
2000-08-16 09:43:28	ga_ls7e_ard_3-0-0_095087_2000-08-16_final
2000-08-18 09:31:05	ga_ls7e_ard_3-1-0_093087_2000-08-18_final
2000-08-20 09:18:19	ga_ls7e_ard_3-1-0_091086_2000-08-19_final
2000-08-20 09:18:43	ga_ls7e_ard_3-0-0_091087_2000-08-19_final
2000-08-22 09:05:55	ga_ls7e_ard_3-0-0_089086_2000-08-21_final
2000-09-28 09:23:53	ga_ls7e_ard_3-0-0_092086_2000-09-27_final
2000-09-28 09:24:17	ga_ls7e_ard_3-0-0_092087_2000-09-27_final
2000-09-30 09:11:32	ga_ls7e_ard_3-0-0_090086_2000-09-29_final
2017-03-14 09:17:04	ga_ls7e_ard_3-0-0_089086_2017-03-13_final
2017-03-17 09:48:00	ga_ls7e_ard_3-0-0_094086_2017-03-17_final
2017-03-17 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-03-17_final
2017-03-19 09:35:39	ga_ls7e_ard_3-0-0_092086_2017-03-19_final
2017-03-19 09:36:02	ga_ls7e_ard_3-0-0_092087_2017-03-19_final
2017-04-16 10:00:31	ga_ls7e_ard_3-1-0_096086_2017-04-16_final
2017-04-18 09:48:34	ga_ls7e_ard_3-0-0_094087_2017-04-18_final
2017-06-05 09:48:23	ga_ls7e_ard_3-0-0_094086_2017-06-05_final
2017-06-07 09:36:02	ga_ls7e_ard_3-0-0_092086_2017-06-07_final
2017-06-07 09:36:26	ga_ls7e_ard_3-0-0_092087_2017-06-07_final
2017-06-09 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-06-08_final
2017-07-14 09:55:03	ga_ls7e_ard_3-0-0_095087_2017-07-14_final
2017-07-16 09:42:17	ga_ls7e_ard_3-0-0_093086_2017-07-16_final
2017-07-18 09:30:20	ga_ls7e_ard_3-0-0_091087_2017-07-18_final
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2017-08-01 09:42:16	ga_ls7e_ard_3-0-0_093086_2017-08-01_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-08-17 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-08-17_final
2017-08-17 09:42:38	ga_ls7e_ard_3-0-0_093087_2017-08-17_final
2017-08-19 09:29:53	ga_ls7e_ard_3-1-0_091086_2017-08-18_final
2017-08-19 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-08-19_final
2017-08-21 09:17:31	ga_ls7e_ard_3-0-0_089086_2017-08-20_final
2017-08-22 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-08-22_final
2017-10-08 09:17:31	ga_ls7e_ard_3-0-0_089086_2017-10-07_final
2017-10-11 09:48:50	ga_ls7e_ard_3-0-0_094087_2017-10-11_final
2017-10-27 09:48:27	ga_ls7e_ard_3-0-0_094086_2017-10-27_final
2017-10-27 09:48:51	ga_ls7e_ard_3-0-0_094087_2017-10-27_final
2017-10-29 09:36:29	ga_ls7e_ard_3-0-0_092087_2017-10-29_final
2017-10-31 09:23:44	ga_ls7e_ard_3-0-0_090086_2017-10-30_final
2017-12-12 10:00:34	ga_ls7e_ard_3-1-0_096086_2017-12-12_final
2018-08-11 09:44:28	ga_ls7e_ard_3-0-0_094086_2018-08-11_final
2018-08-11 09:44:51	ga_ls7e_ard_3-0-0_094087_2018-08-11_final
2020-09-05 08:47:40	ga_ls7e_ard_3-1-0_090086_2020-09-04_final
2020-09-28 08:52:21	ga_ls7e_ard_3-1-0_091086_2020-09-27_final
2020-09-30 08:39:51	ga_ls7e_ard_3-1-0_089086_2020-09-29_final
2020-12-13 09:11:51	ga_ls7e_ard_3-1-0_095086_2020-12-12_final
2020-12-13 09:12:15	ga_ls7e_ard_3-1-0_095087_2020-12-12_final
2020-12-15 08:59:21	ga_ls7e_ard_3-1-0_093086_2020-12-14_final
2020-12-15 08:59:45	ga_ls7e_ard_3-1-0_093087_2020-12-14_final
2020-12-17 08:46:50	ga_ls7e_ard_3-1-0_091086_2020-12-16_final
2020-12-17 08:47:14	ga_ls7e_ard_3-1-0_091087_2020-12-16_final
2020-12-19 08:34:19	ga_ls7e_ard_3-1-0_089086_2020-12-18_final
2020-12-20 09:17:30	ga_ls7e_ard_3-1-0_096086_2020-12-19_final
2020-12-24 08:52:29	ga_ls7e_ard_3-1-0_092086_2020-12-23_final
2020-12-26 08:39:59	ga_ls7e_ard_3-1-0_090086_2020-12-25_final
2021-02-24 09:00:22	ga_ls7e_ard_3-2-0_094086_2021-02-23_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-02-28 08:35:20	ga_ls7e_ard_3-2-0_090086_2021-02-27_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-07 08:40:58	ga_ls7e_ard_3-2-0_091086_2021-03-06_final
2021-03-07 08:41:22	ga_ls7e_ard_3-2-0_091087_2021-03-06_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-10 09:11:38	ga_ls7e_ard_3-2-0_096086_2021-03-09_final
2021-03-12 08:59:07	ga_ls7e_ard_3-2-0_094086_2021-03-11_final
2021-03-12 08:59:31	ga_ls7e_ard_3-2-0_094087_2021-03-11_final
2021-03-14 08:46:36	ga_ls7e_ard_3-2-0_092086_2021-03-13_final
2021-03-14 08:47:00	ga_ls7e_ard_3-2-0_092087_2021-03-13_final
2021-03-19 09:04:44	ga_ls7e_ard_3-2-0_095086_2021-03-18_final
2021-03-19 09:05:08	ga_ls7e_ard_3-2-0_095087_2021-03-18_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-03-28 08:57:50	ga_ls7e_ard_3-2-0_094086_2021-03-27_final
2021-03-28 08:58:14	ga_ls7e_ard_3-2-0_094087_2021-03-27_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-03-30 08:45:43	ga_ls7e_ard_3-2-0_092087_2021-03-29_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