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
2012-05-29 09:46:29	ga_ls7e_ard_3-0-0_095086_2012-05-29_final
2012-05-31 09:34:05	ga_ls7e_ard_3-0-0_093086_2012-05-31_final
2012-05-31 09:34:29	ga_ls7e_ard_3-0-0_093087_2012-05-31_final
2012-06-30 09:46:33	ga_ls7e_ard_3-0-0_095086_2012-06-30_final
2012-07-02 09:34:12	ga_ls7e_ard_3-0-0_093086_2012-07-02_final
2012-07-02 09:34:36	ga_ls7e_ard_3-0-0_093087_2012-07-02_final
2012-07-04 09:22:17	ga_ls7e_ard_3-0-0_091087_2012-07-03_final
2012-07-06 09:09:34	ga_ls7e_ard_3-0-0_089086_2012-07-05_final
2012-07-07 09:52:50	ga_ls7e_ard_3-1-0_096086_2012-07-07_final
2012-09-25 09:53:43	ga_ls7e_ard_3-1-0_096086_2012-09-25_final
2012-09-27 09:41:23	ga_ls7e_ard_3-0-0_094086_2012-09-27_final
2012-09-27 09:41:46	ga_ls7e_ard_3-0-0_094087_2012-09-27_final
2012-09-29 09:29:02	ga_ls7e_ard_3-0-0_092086_2012-09-28_final
2012-09-29 09:29:26	ga_ls7e_ard_3-0-0_092087_2012-09-28_final
2012-10-01 09:16:41	ga_ls7e_ard_3-0-0_090086_2012-09-30_final
2012-10-04 09:47:37	ga_ls7e_ard_3-0-0_095086_2012-10-04_final
2012-10-04 09:48:01	ga_ls7e_ard_3-0-0_095087_2012-10-04_final
2012-10-31 09:29:17	ga_ls7e_ard_3-0-0_092086_2012-10-30_final
2012-10-31 09:29:41	ga_ls7e_ard_3-0-0_092087_2012-10-30_final
2012-11-02 09:16:56	ga_ls7e_ard_3-0-0_090086_2012-11-01_final
2012-12-13 09:10:58	ga_ls7e_ard_3-0-0_089086_2012-12-12_final
2017-12-07 09:42:04	ga_ls7e_ard_3-0-0_093086_2017-12-07_final
2017-12-07 09:42:28	ga_ls7e_ard_3-1-0_093087_2017-12-07_final
2017-12-09 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-12-08_final
2018-03-29 09:40:39	ga_ls7e_ard_3-0-0_093086_2018-03-29_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-03-31 09:28:15	ga_ls7e_ard_3-1-0_091086_2018-03-30_final
2018-03-31 09:28:39	ga_ls7e_ard_3-0-0_091087_2018-03-30_final
2018-04-05 09:46:43	ga_ls7e_ard_3-0-0_094086_2018-04-05_final
2018-04-07 09:34:20	ga_ls7e_ard_3-0-0_092086_2018-04-07_final
2018-04-07 09:34:44	ga_ls7e_ard_3-0-0_092087_2018-04-07_final
2018-04-16 09:28:00	ga_ls7e_ard_3-1-0_091086_2018-04-15_final
2018-04-18 09:15:36	ga_ls7e_ard_3-0-0_089086_2018-04-17_final
2018-09-03 09:50:11	ga_ls7e_ard_3-0-0_095086_2018-09-03_final
2018-09-05 09:37:46	ga_ls7e_ard_3-0-0_093086_2018-09-05_final
2018-09-05 09:38:10	ga_ls7e_ard_3-0-0_093087_2018-09-05_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
2021-04-04 09:03:26	ga_ls7e_ard_3-2-0_095086_2021-04-03_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-05-31 08:52:27	ga_ls7e_ard_3-2-0_094086_2021-05-30_final
2021-05-31 08:52:51	ga_ls7e_ard_3-2-0_094087_2021-05-30_final
2021-06-02 08:39:55	ga_ls7e_ard_3-2-0_092086_2021-06-01_final
2021-06-02 08:40:19	ga_ls7e_ard_3-2-0_092087_2021-06-01_final
2021-08-12 08:40:05	ga_ls7e_ard_3-2-0_093086_2021-08-11_final
2021-08-12 08:40:29	ga_ls7e_ard_3-2-0_093087_2021-08-11_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-14 08:27:56	ga_ls7e_ard_3-2-0_091087_2021-08-13_final
2021-08-16 08:15:00	ga_ls7e_ard_3-2-0_089086_2021-08-15_final
2021-08-17 08:58:10	ga_ls7e_ard_3-2-0_096086_2021-08-16_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-16 08:40:57	ga_ls7e_ard_3-2-1_095086_2021-12-15_final
2021-12-16 08:41:21	ga_ls7e_ard_3-2-1_095087_2021-12-15_final
2021-12-18 08:28:24	ga_ls7e_ard_3-2-1_093086_2021-12-17_final
2021-12-18 08:28:48	ga_ls7e_ard_3-2-1_093087_2021-12-17_final
2021-12-20 08:15:51	ga_ls7e_ard_3-2-1_091086_2021-12-19_final
2021-12-20 08:16:15	ga_ls7e_ard_3-2-1_091087_2021-12-19_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-25 08:33:53	ga_ls7e_ard_3-2-1_094086_2021-12-24_final
2021-12-27 08:21:20	ga_ls7e_ard_3-2-1_092086_2021-12-26_final
2021-12-29 08:08:46	ga_ls7e_ard_3-2-1_090086_2021-12-28_final
2022-01-10 08:32:19	ga_ls7e_ard_3-2-1_094086_2022-01-09_final
2022-01-10 08:32:43	ga_ls7e_ard_3-2-1_094087_2022-01-09_final
2022-01-12 08:19:46	ga_ls7e_ard_3-2-1_092086_2022-01-11_final
2022-01-12 08:20:10	ga_ls7e_ard_3-2-1_092087_2022-01-11_final
2022-01-24 08:43:20	ga_ls7e_ard_3-2-1_096086_2022-01-23_final
2022-01-26 08:30:47	ga_ls7e_ard_3-2-1_094086_2022-01-25_final
2022-01-26 08:31:11	ga_ls7e_ard_3-2-1_094087_2022-01-25_final
2022-01-28 08:18:13	ga_ls7e_ard_3-2-1_092086_2022-01-27_final
2022-01-28 08:18:37	ga_ls7e_ard_3-2-1_092087_2022-01-27_final
2022-02-02 08:36:16	ga_ls7e_ard_3-2-1_095086_2022-02-01_final
2022-02-02 08:36:40	ga_ls7e_ard_3-2-1_095087_2022-02-01_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
2022-02-20 08:22:29	ga_ls7e_ard_3-2-1_093087_2022-02-19_final
2022-02-22 08:09:32	ga_ls7e_ard_3-2-1_091086_2022-02-21_final
2022-02-22 08:09:56	ga_ls7e_ard_3-2-1_091087_2022-02-21_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_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