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
2003-12-27 10:04:48	ga_ls7e_ard_3-0-0_099084_2003-12-27_final
2003-12-28 09:09:11	ga_ls7e_ard_3-0-0_090084_2003-12-27_final
2003-12-28 09:09:35	ga_ls7e_ard_3-1-0_090085_2003-12-27_final
2003-12-29 09:52:27	ga_ls7e_ard_3-0-0_097084_2003-12-29_final
2003-12-29 11:31:20	ga_ls7e_ard_3-0-0_113084_2003-12-29_final
2003-12-31 09:40:06	ga_ls7e_ard_3-0-0_095084_2003-12-31_final
2003-12-31 09:40:30	ga_ls7e_ard_3-0-0_095085_2003-12-31_final
2003-12-31 11:18:59	ga_ls7e_ard_3-0-0_111084_2003-12-31_final
2004-01-14 09:52:28	ga_ls7e_ard_3-0-0_097084_2004-01-14_final
2004-01-14 09:52:52	ga_ls7e_ard_3-0-0_097085_2004-01-14_final
2004-01-14 11:31:21	ga_ls7e_ard_3-0-0_113084_2004-01-14_final
2004-01-16 09:40:08	ga_ls7e_ard_3-0-0_095084_2004-01-16_final
2004-01-16 09:40:32	ga_ls7e_ard_3-0-0_095085_2004-01-16_final
2004-01-16 11:19:01	ga_ls7e_ard_3-0-0_111084_2004-01-16_final
2004-05-16 09:34:12	ga_ls7e_ard_3-0-0_094084_2004-05-16_final
2019-08-07 11:05:16	ga_ls7e_ard_3-0-0_109084_2019-08-07_final
2019-08-09 09:14:21	ga_ls7e_ard_3-0-0_091085_2019-08-08_final
2019-08-09 10:52:49	ga_ls7e_ard_3-0-0_107084_2019-08-09_final
2019-08-10 09:57:10	ga_ls7e_ard_3-0-0_098084_2019-08-10_final
2019-08-10 09:57:34	ga_ls7e_ard_3-0-0_098085_2019-08-10_final
2019-08-11 09:01:30	ga_ls7e_ard_3-0-0_089084_2019-08-10_final
2019-08-11 09:01:54	ga_ls7e_ard_3-0-0_089085_2019-08-10_final
2019-08-12 09:44:43	ga_ls7e_ard_3-0-0_096084_2019-08-12_final
2019-08-12 09:45:07	ga_ls7e_ard_3-0-0_096085_2019-08-12_final
2019-08-12 11:23:36	ga_ls7e_ard_3-1-0_112084_2019-08-12_final
2019-09-22 09:36:46	ga_ls7e_ard_3-1-0_095084_2019-09-22_final
2019-09-22 09:37:10	ga_ls7e_ard_3-1-0_095085_2019-09-22_final
2019-09-22 11:15:39	ga_ls7e_ard_3-1-0_111084_2019-09-22_final
2019-09-24 09:24:19	ga_ls7e_ard_3-1-0_093084_2019-09-23_final
2019-09-24 09:24:43	ga_ls7e_ard_3-1-0_093085_2019-09-23_final
2019-09-24 11:03:12	ga_ls7e_ard_3-1-0_109084_2019-09-24_final
2019-09-28 08:59:26	ga_ls7e_ard_3-1-0_089084_2019-09-27_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-09-29 09:42:39	ga_ls7e_ard_3-1-0_096084_2019-09-29_final
2019-09-29 11:21:32	ga_ls7e_ard_3-1-0_112084_2019-09-29_final
2019-10-01 09:30:36	ga_ls7e_ard_3-1-0_094085_2019-10-01_final
2019-10-01 11:09:05	ga_ls7e_ard_3-1-0_110084_2019-10-01_final
2019-10-03 09:17:46	ga_ls7e_ard_3-1-0_092084_2019-10-02_final
2019-10-03 09:18:10	ga_ls7e_ard_3-1-0_092085_2019-10-02_final
2019-10-03 10:56:39	ga_ls7e_ard_3-1-0_108084_2019-10-03_final
2019-12-27 09:32:21	ga_ls7e_ard_3-1-0_095084_2019-12-27_final
2019-12-27 09:32:45	ga_ls7e_ard_3-1-0_095085_2019-12-27_final
2019-12-27 11:11:14	ga_ls7e_ard_3-1-0_111084_2019-12-27_final
2019-12-29 09:19:53	ga_ls7e_ard_3-1-0_093084_2019-12-28_final
2019-12-29 09:20:17	ga_ls7e_ard_3-1-0_093085_2019-12-28_final
2019-12-29 10:58:46	ga_ls7e_ard_3-1-0_109084_2019-12-29_final
2019-12-30 10:03:06	ga_ls7e_ard_3-1-0_100084_2019-12-30_final
2019-12-31 09:07:25	ga_ls7e_ard_3-1-0_091084_2019-12-30_final
2019-12-31 09:07:49	ga_ls7e_ard_3-1-0_091085_2019-12-30_final
2019-12-31 10:46:18	ga_ls7e_ard_3-1-0_107084_2019-12-31_final
2020-01-19 09:37:46	ga_ls7e_ard_3-1-0_096085_2020-01-19_final
2020-01-19 11:16:15	ga_ls7e_ard_3-1-0_112084_2020-01-19_final
2020-01-21 09:24:55	ga_ls7e_ard_3-1-0_094084_2020-01-20_final
2020-01-21 09:25:18	ga_ls7e_ard_3-1-0_094085_2020-01-20_final
2020-01-21 11:03:47	ga_ls7e_ard_3-1-0_110084_2020-01-21_final
2020-01-23 09:12:27	ga_ls7e_ard_3-1-0_092084_2020-01-22_final
2020-01-23 10:51:20	ga_ls7e_ard_3-1-0_108084_2020-01-23_final
2020-01-24 09:55:40	ga_ls7e_ard_3-1-0_099084_2020-01-24_final
2020-01-25 08:59:59	ga_ls7e_ard_3-1-0_090084_2020-01-24_final
2020-01-25 09:00:23	ga_ls7e_ard_3-1-0_090085_2020-01-24_final
2020-01-26 09:43:12	ga_ls7e_ard_3-1-0_097084_2020-01-26_final
2020-01-26 11:22:05	ga_ls7e_ard_3-1-0_113084_2020-01-26_final
2020-11-23 09:37:15	ga_ls7e_ard_3-1-0_099084_2020-11-23_final
2020-11-24 08:41:58	ga_ls7e_ard_3-1-0_090085_2020-11-23_final
2020-11-25 09:24:45	ga_ls7e_ard_3-1-0_097084_2020-11-24_final
2020-11-25 09:25:09	ga_ls7e_ard_3-1-0_097085_2020-11-24_final
2020-11-29 10:38:37	ga_ls7e_ard_3-1-0_109084_2020-11-29_final
2020-11-30 09:42:56	ga_ls7e_ard_3-1-0_100084_2020-11-30_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-01 08:47:38	ga_ls7e_ard_3-1-0_091085_2020-11-30_final
2020-12-01 10:26:07	ga_ls7e_ard_3-1-0_107084_2020-12-01_final
2020-12-08 08:52:54	ga_ls7e_ard_3-1-0_092084_2020-12-07_final
2020-12-08 08:53:18	ga_ls7e_ard_3-1-0_092085_2020-12-07_final
2020-12-08 10:31:46	ga_ls7e_ard_3-1-0_108084_2020-12-08_final
2020-12-09 09:36:05	ga_ls7e_ard_3-1-0_099084_2020-12-09_final
2020-12-10 08:40:23	ga_ls7e_ard_3-1-0_090084_2020-12-09_final
2020-12-10 08:40:47	ga_ls7e_ard_3-1-0_090085_2020-12-09_final
2020-12-11 09:23:34	ga_ls7e_ard_3-1-0_097084_2020-12-10_final
2020-12-11 09:23:58	ga_ls7e_ard_3-1-0_097085_2020-12-10_final
2020-12-11 11:02:27	ga_ls7e_ard_3-1-0_113084_2020-12-11_final
2020-12-13 09:11:04	ga_ls7e_ard_3-1-0_095084_2020-12-12_final
2020-12-13 09:11:28	ga_ls7e_ard_3-1-0_095085_2020-12-12_final
2020-12-15 08:58:33	ga_ls7e_ard_3-1-0_093084_2020-12-14_final
2020-12-15 08:58:57	ga_ls7e_ard_3-1-0_093085_2020-12-14_final
2020-12-16 09:41:44	ga_ls7e_ard_3-1-0_100084_2020-12-16_final
2020-12-17 08:46:26	ga_ls7e_ard_3-1-0_091085_2020-12-16_final
2020-12-20 09:16:42	ga_ls7e_ard_3-1-0_096084_2020-12-19_final
2020-12-20 09:17:06	ga_ls7e_ard_3-1-0_096085_2020-12-19_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2020-12-25 09:34:53	ga_ls7e_ard_3-1-0_099084_2020-12-25_final
2020-12-26 08:39:12	ga_ls7e_ard_3-1-0_090084_2020-12-25_final
2020-12-27 11:01:16	ga_ls7e_ard_3-1-0_113084_2020-12-27_final
2020-12-29 09:09:53	ga_ls7e_ard_3-1-0_095084_2020-12-28_final
2020-12-29 09:10:17	ga_ls7e_ard_3-1-0_095085_2020-12-28_final
2020-12-29 10:48:46	ga_ls7e_ard_3-1-0_111084_2020-12-29_final
2021-02-13 09:18:56	ga_ls7e_ard_3-2-0_097084_2021-02-12_final
2021-02-13 09:19:20	ga_ls7e_ard_3-2-0_097085_2021-02-12_final
2021-02-13 10:57:49	ga_ls7e_ard_3-2-0_113084_2021-02-13_final
2021-02-15 09:06:26	ga_ls7e_ard_3-2-0_095084_2021-02-14_final
2021-02-15 09:06:50	ga_ls7e_ard_3-2-0_095085_2021-02-14_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