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
2002-09-02 09:17:03	ga_ls7e_ard_3-0-0_092075_2002-09-01_final
2002-09-02 09:17:27	ga_ls7e_ard_3-0-0_092076_2002-09-01_final
2002-09-02 09:17:51	ga_ls7e_ard_3-0-0_092077_2002-09-01_final
2002-09-02 09:18:15	ga_ls7e_ard_3-0-0_092078_2002-09-01_final
2002-09-02 09:18:39	ga_ls7e_ard_3-0-0_092079_2002-09-01_final
2002-09-25 09:22:36	ga_ls7e_ard_3-0-0_093074_2002-09-24_final
2002-09-27 09:11:50	ga_ls7e_ard_3-0-0_091078_2002-09-26_final
2002-09-27 09:12:14	ga_ls7e_ard_3-0-0_091079_2002-09-26_final
2002-09-27 09:12:38	ga_ls7e_ard_3-0-0_091080_2002-09-26_final
2002-09-27 09:13:02	ga_ls7e_ard_3-0-0_091081_2002-09-26_final
2002-09-27 09:13:26	ga_ls7e_ard_3-0-0_091082_2002-09-26_final
2002-09-27 09:13:50	ga_ls7e_ard_3-0-0_091083_2002-09-26_final
2002-09-29 09:02:15	ga_ls7e_ard_3-0-0_089085_2002-09-28_final
2002-09-29 09:03:51	ga_ls7e_ard_3-0-0_089089_2002-09-28_final
2002-09-29 09:04:15	ga_ls7e_ard_3-0-0_089090_2002-09-28_final
2002-11-07 09:07:22	ga_ls7e_ard_3-0-0_090082_2002-11-06_final
2002-11-07 09:07:46	ga_ls7e_ard_3-0-0_090083_2002-11-06_final
2002-11-07 09:08:10	ga_ls7e_ard_3-0-0_090084_2002-11-06_final
2002-11-07 09:08:34	ga_ls7e_ard_3-1-0_090085_2002-11-06_final
2002-11-07 09:08:58	ga_ls7e_ard_3-0-0_090086_2002-11-06_final
2003-01-19 09:02:59	ga_ls7e_ard_3-0-0_089085_2003-01-18_final
2003-01-19 09:03:23	ga_ls7e_ard_3-0-0_089086_2003-01-18_final
2003-01-19 09:04:35	ga_ls7e_ard_3-1-0_089089_2003-01-18_final
2003-01-19 09:04:59	ga_ls7e_ard_3-0-0_089090_2003-01-18_final
2003-02-16 09:23:31	ga_ls7e_ard_3-0-0_093074_2003-02-15_final
2003-02-27 09:08:09	ga_ls7e_ard_3-0-0_090082_2003-02-26_final
2003-02-27 09:08:33	ga_ls7e_ard_3-0-0_090083_2003-02-26_final
2003-02-27 09:08:57	ga_ls7e_ard_3-0-0_090084_2003-02-26_final
2003-02-27 09:09:21	ga_ls7e_ard_3-1-0_090085_2003-02-26_final
2003-02-27 09:09:45	ga_ls7e_ard_3-0-0_090086_2003-02-26_final
2003-03-13 09:19:00	ga_ls7e_ard_3-0-0_092078_2003-03-12_final
2003-03-13 09:19:24	ga_ls7e_ard_3-0-0_092079_2003-03-12_final
2020-08-18 08:56:49	ga_ls7e_ard_3-1-0_092075_2020-08-17_final
2020-08-18 08:57:13	ga_ls7e_ard_3-1-0_092076_2020-08-17_final
2020-08-18 08:57:37	ga_ls7e_ard_3-1-0_092077_2020-08-17_final
2020-08-18 08:58:01	ga_ls7e_ard_3-1-0_092078_2020-08-17_final
2020-08-18 08:58:25	ga_ls7e_ard_3-1-0_092079_2020-08-17_final
2020-08-25 09:02:09	ga_ls7e_ard_3-1-0_093074_2020-08-24_final
2020-08-25 09:02:32	ga_ls7e_ard_3-1-0_093075_2020-08-24_final
2020-08-27 08:51:15	ga_ls7e_ard_3-1-0_091078_2020-08-26_final
2020-08-27 08:51:39	ga_ls7e_ard_3-1-0_091079_2020-08-26_final
2020-08-27 08:52:03	ga_ls7e_ard_3-1-0_091080_2020-08-26_final
2020-08-27 08:52:27	ga_ls7e_ard_3-1-0_091081_2020-08-26_final
2020-08-27 08:52:51	ga_ls7e_ard_3-1-0_091082_2020-08-26_final
2020-08-27 08:53:15	ga_ls7e_ard_3-1-0_091083_2020-08-26_final
2020-08-27 08:53:39	ga_ls7e_ard_3-1-0_091084_2020-08-26_final
2020-09-19 08:54:43	ga_ls7e_ard_3-1-0_092075_2020-09-18_final
2020-09-19 08:55:31	ga_ls7e_ard_3-1-0_092077_2020-09-18_final
2020-09-19 08:55:55	ga_ls7e_ard_3-1-0_092078_2020-09-18_final
2020-09-19 08:56:18	ga_ls7e_ard_3-1-0_092079_2020-09-18_final
2021-11-02 08:17:15	ga_ls7e_ard_3-2-0_091078_2021-11-01_final
2021-11-02 08:17:39	ga_ls7e_ard_3-2-0_091079_2021-11-01_final
2021-11-02 08:18:03	ga_ls7e_ard_3-2-0_091080_2021-11-01_final
2021-11-02 08:18:27	ga_ls7e_ard_3-2-0_091081_2021-11-01_final
2021-11-07 08:30:55	ga_ls7e_ard_3-2-0_094067_2021-11-06_final
2021-11-16 08:26:40	ga_ls7e_ard_3-2-1_093074_2021-11-15_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-11-18 08:16:06	ga_ls7e_ard_3-2-1_091079_2021-11-17_final
2021-11-18 08:16:54	ga_ls7e_ard_3-2-1_091081_2021-11-17_final
2021-11-18 08:17:18	ga_ls7e_ard_3-2-1_091082_2021-11-17_final
2021-11-18 08:17:42	ga_ls7e_ard_3-2-1_091083_2021-11-17_final
2021-11-18 08:18:06	ga_ls7e_ard_3-2-1_091084_2021-11-17_final
2021-12-02 08:25:08	ga_ls7e_ard_3-2-1_093074_2021-12-01_final
2021-12-02 08:25:32	ga_ls7e_ard_3-2-1_093075_2021-12-01_final
2021-12-04 08:14:11	ga_ls7e_ard_3-2-1_091078_2021-12-03_final
2021-12-04 08:14:35	ga_ls7e_ard_3-2-1_091079_2021-12-03_final
2021-12-04 08:14:59	ga_ls7e_ard_3-2-1_091080_2021-12-03_final
2021-12-04 08:15:23	ga_ls7e_ard_3-2-1_091081_2021-12-03_final
2021-12-04 08:15:47	ga_ls7e_ard_3-2-1_091082_2021-12-03_final
2021-12-04 08:16:11	ga_ls7e_ard_3-2-1_091083_2021-12-03_final
2021-12-04 08:16:35	ga_ls7e_ard_3-2-1_091084_2021-12-03_final
2021-12-06 08:04:50	ga_ls7e_ard_3-2-1_089086_2021-12-05_final
2021-12-11 08:18:30	ga_ls7e_ard_3-2-1_092075_2021-12-10_final
2021-12-11 08:18:54	ga_ls7e_ard_3-2-1_092076_2021-12-10_final
2021-12-11 08:19:18	ga_ls7e_ard_3-2-1_092077_2021-12-10_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-11 08:20:06	ga_ls7e_ard_3-2-1_092079_2021-12-10_final
2021-12-13 08:08:45	ga_ls7e_ard_3-2-1_090082_2021-12-12_final
2021-12-13 08:09:09	ga_ls7e_ard_3-2-1_090083_2021-12-12_final
2021-12-13 08:09:33	ga_ls7e_ard_3-2-1_090084_2021-12-12_final
2021-12-13 08:09:57	ga_ls7e_ard_3-2-1_090085_2021-12-12_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-18 08:23:37	ga_ls7e_ard_3-2-1_093074_2021-12-17_final
2021-12-18 08:24:01	ga_ls7e_ard_3-2-1_093075_2021-12-17_final
2021-12-20 08:12:39	ga_ls7e_ard_3-2-1_091078_2021-12-19_final
2021-12-20 08:13:03	ga_ls7e_ard_3-2-1_091079_2021-12-19_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2021-12-20 08:13:51	ga_ls7e_ard_3-2-1_091081_2021-12-19_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2021-12-20 08:14:39	ga_ls7e_ard_3-2-1_091083_2021-12-19_final
2021-12-20 08:15:03	ga_ls7e_ard_3-2-1_091084_2021-12-19_final
2022-01-03 08:22:01	ga_ls7e_ard_3-2-1_093074_2022-01-02_final
2022-01-03 08:22:24	ga_ls7e_ard_3-2-1_093075_2022-01-02_final
2022-02-13 08:12:12	ga_ls7e_ard_3-2-1_092075_2022-02-12_final
2022-02-15 08:02:25	ga_ls7e_ard_3-2-1_090082_2022-02-14_final
2022-02-15 08:02:49	ga_ls7e_ard_3-2-1_090083_2022-02-14_final
2022-02-15 08:03:13	ga_ls7e_ard_3-2-1_090084_2022-02-14_final
2022-02-15 08:03:37	ga_ls7e_ard_3-2-1_090085_2022-02-14_final
2022-02-15 08:04:01	ga_ls7e_ard_3-2-1_090086_2022-02-14_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