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
2012-08-28 09:28:18	ga_ls7e_ard_3-0-0_092085_2012-08-27_final
2012-10-22 09:35:02	ga_ls7e_ard_3-0-0_093085_2012-10-22_final
2012-10-24 09:22:41	ga_ls7e_ard_3-0-0_091085_2012-10-23_final
2014-04-30 09:17:54	ga_ls7e_ard_3-0-0_090085_2014-04-29_final
2014-05-01 10:01:10	ga_ls7e_ard_3-0-0_097085_2014-05-01_final
2014-05-25 09:11:52	ga_ls7e_ard_3-0-0_089085_2014-05-24_final
2014-07-17 09:30:34	ga_ls7e_ard_3-0-0_092085_2014-07-17_final
2014-07-19 09:18:14	ga_ls7e_ard_3-1-0_090085_2014-07-18_final
2014-07-20 10:01:30	ga_ls7e_ard_3-0-0_097085_2014-07-20_final
2014-07-22 09:49:09	ga_ls7e_ard_3-0-0_095085_2014-07-22_final
2014-10-16 09:12:30	ga_ls7e_ard_3-0-0_089085_2014-10-15_final
2014-10-17 09:55:46	ga_ls7e_ard_3-0-0_096085_2014-10-17_final
2017-11-30 09:35:33	ga_ls7e_ard_3-0-0_092085_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
2017-12-09 09:29:18	ga_ls7e_ard_3-0-0_091085_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
2019-09-26 09:11:52	ga_ls7e_ard_3-1-0_091084_2019-09-25_final
2019-09-26 09:12:16	ga_ls7e_ard_3-1-0_091085_2019-09-25_final
2019-09-27 09:55:29	ga_ls7e_ard_3-1-0_098085_2019-09-27_final
2019-10-10 09:24:03	ga_ls7e_ard_3-1-0_093085_2019-10-09_final
2019-11-20 10:54:32	ga_ls7e_ard_3-1-0_108084_2019-11-20_final
2019-11-21 09:58:52	ga_ls7e_ard_3-1-0_099084_2019-11-21_final
2019-11-22 09:03:36	ga_ls7e_ard_3-1-0_090085_2019-11-21_final
2019-11-23 09:46:49	ga_ls7e_ard_3-1-0_097085_2019-11-23_final
2019-11-23 11:25:18	ga_ls7e_ard_3-1-0_113084_2019-11-23_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2019-12-25 09:44:49	ga_ls7e_ard_3-1-0_097084_2019-12-25_final
2019-12-25 09:45:13	ga_ls7e_ard_3-1-0_097085_2019-12-25_final
2020-01-12 09:31:32	ga_ls7e_ard_3-1-0_095084_2020-01-12_final
2020-01-12 09:31:56	ga_ls7e_ard_3-1-0_095085_2020-01-12_final
2020-01-12 11:10:25	ga_ls7e_ard_3-1-0_111084_2020-01-12_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-06-30 09:01:57	ga_ls7e_ard_3-2-0_096085_2021-06-29_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-02 08:49:01	ga_ls7e_ard_3-2-0_094084_2021-07-01_final
2021-07-02 08:49:25	ga_ls7e_ard_3-2-0_094085_2021-07-01_final
2021-07-02 10:27:54	ga_ls7e_ard_3-2-0_110084_2021-07-02_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-07-04 08:36:53	ga_ls7e_ard_3-2-0_092085_2021-07-03_final
2021-07-05 09:19:40	ga_ls7e_ard_3-2-0_099084_2021-07-04_final
2021-07-06 08:23:58	ga_ls7e_ard_3-2-0_090084_2021-07-05_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-07 09:07:08	ga_ls7e_ard_3-2-0_097084_2021-07-06_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-09 08:54:36	ga_ls7e_ard_3-2-0_095084_2021-07-08_final
2021-07-09 08:55:00	ga_ls7e_ard_3-2-0_095085_2021-07-08_final
2021-07-09 10:33:29	ga_ls7e_ard_3-2-0_111084_2021-07-09_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-11 08:42:28	ga_ls7e_ard_3-2-0_093085_2021-07-10_final
2021-07-11 10:20:57	ga_ls7e_ard_3-2-0_109084_2021-07-11_final
2021-07-12 09:25:15	ga_ls7e_ard_3-2-0_100084_2021-07-11_final
2021-07-13 08:29:33	ga_ls7e_ard_3-2-0_091084_2021-07-12_final
2021-07-13 08:29:57	ga_ls7e_ard_3-2-0_091085_2021-07-12_final
2021-07-13 10:08:25	ga_ls7e_ard_3-2-0_107084_2021-07-13_final
2021-07-14 09:12:43	ga_ls7e_ard_3-2-0_098084_2021-07-13_final
2021-07-14 09:13:07	ga_ls7e_ard_3-2-0_098085_2021-07-13_final
2021-07-15 08:17:01	ga_ls7e_ard_3-2-0_089084_2021-07-14_final
2021-07-15 08:17:25	ga_ls7e_ard_3-2-0_089085_2021-07-14_final
2021-07-31 08:16:01	ga_ls7e_ard_3-2-0_089085_2021-07-30_final
2021-08-01 08:58:48	ga_ls7e_ard_3-2-0_096084_2021-07-31_final
2021-08-01 08:59:12	ga_ls7e_ard_3-2-0_096085_2021-07-31_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-15 09:10:18	ga_ls7e_ard_3-2-0_098085_2021-08-14_final
2021-08-16 08:14:12	ga_ls7e_ard_3-2-0_089084_2021-08-15_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-12-27 08:20:32	ga_ls7e_ard_3-2-1_092084_2021-12-26_final
2021-12-27 08:20:56	ga_ls7e_ard_3-2-1_092085_2021-12-26_final
2021-12-27 09:59:25	ga_ls7e_ard_3-2-1_108084_2021-12-27_final
2021-12-28 09:03:41	ga_ls7e_ard_3-2-1_099084_2021-12-27_final
2021-12-29 08:07:58	ga_ls7e_ard_3-2-1_090084_2021-12-28_final
2021-12-29 08:08:22	ga_ls7e_ard_3-2-1_090085_2021-12-28_final
2021-12-30 08:51:08	ga_ls7e_ard_3-2-1_097084_2021-12-29_final
2021-12-30 08:51:32	ga_ls7e_ard_3-2-1_097085_2021-12-29_final
2022-01-08 08:44:03	ga_ls7e_ard_3-2-1_096084_2022-01-07_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-10 08:31:31	ga_ls7e_ard_3-2-1_094084_2022-01-09_final
2022-01-10 08:31:55	ga_ls7e_ard_3-2-1_094085_2022-01-09_final
2022-01-10 10:10:23	ga_ls7e_ard_3-2-1_110084_2022-01-10_final
2022-01-12 08:18:58	ga_ls7e_ard_3-2-1_092084_2022-01-11_final
2022-01-12 08:19:22	ga_ls7e_ard_3-2-1_092085_2022-01-11_final
2022-01-12 09:57:51	ga_ls7e_ard_3-2-1_108084_2022-01-12_final
2022-01-13 09:02:08	ga_ls7e_ard_3-2-1_099084_2022-01-12_final
2022-01-14 08:06:25	ga_ls7e_ard_3-2-1_090084_2022-01-13_final
2022-01-14 08:06:49	ga_ls7e_ard_3-2-1_090085_2022-01-13_final
2022-01-15 08:49:35	ga_ls7e_ard_3-2-1_097084_2022-01-14_final
2022-01-15 08:49:59	ga_ls7e_ard_3-2-1_097085_2022-01-14_final
2022-01-17 08:37:02	ga_ls7e_ard_3-2-1_095084_2022-01-16_final
2022-01-17 08:37:26	ga_ls7e_ard_3-2-1_095085_2022-01-16_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-01-19 08:24:29	ga_ls7e_ard_3-2-1_093084_2022-01-18_final
2022-01-19 08:24:53	ga_ls7e_ard_3-2-1_093085_2022-01-18_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-01-20 09:07:39	ga_ls7e_ard_3-2-1_100084_2022-01-19_final
2022-01-21 08:11:56	ga_ls7e_ard_3-2-1_091084_2022-01-20_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