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
2000-03-20 09:25:39	ga_ls7e_ard_3-0-0_092085_2000-03-19_final
2000-03-20 09:26:03	ga_ls7e_ard_3-0-0_092086_2000-03-19_final
2000-03-22 09:13:42	ga_ls7e_ard_3-1-0_090086_2000-03-21_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
2000-05-07 09:25:38	ga_ls7e_ard_3-0-0_092086_2000-05-06_final
2000-05-16 09:19:23	ga_ls7e_ard_3-1-0_091086_2000-05-15_final
2000-05-18 09:07:00	ga_ls7e_ard_3-0-0_089086_2000-05-17_final
2000-05-25 09:12:39	ga_ls7e_ard_3-0-0_090085_2000-05-24_final
2000-05-25 09:13:03	ga_ls7e_ard_3-0-0_090086_2000-05-24_final
2000-05-28 09:43:56	ga_ls7e_ard_3-0-0_095086_2000-05-28_final
2000-05-30 09:31:34	ga_ls7e_ard_3-0-0_093086_2000-05-30_final
2000-06-03 09:06:24	ga_ls7e_ard_3-0-0_089085_2000-06-02_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 09:18:43	ga_ls7e_ard_3-0-0_091085_2000-06-16_final
2000-06-17 09:19:07	ga_ls7e_ard_3-1-0_091086_2000-06-16_final
2000-06-24 09:25:12	ga_ls7e_ard_3-0-0_092086_2000-06-23_final
2000-06-26 09:12:48	ga_ls7e_ard_3-0-0_090086_2000-06-25_final
2000-06-27 09:55:39	ga_ls7e_ard_3-0-0_097085_2000-06-27_final
2000-07-06 09:49:22	ga_ls7e_ard_3-0-0_096085_2000-07-06_final
2000-07-06 09:49:46	ga_ls7e_ard_3-1-0_096086_2000-07-06_final
2000-07-08 09:37:22	ga_ls7e_ard_3-0-0_094086_2000-07-08_final
2000-07-10 09:24:34	ga_ls7e_ard_3-0-0_092085_2000-07-09_final
2000-07-10 09:24:58	ga_ls7e_ard_3-0-0_092086_2000-07-09_final
2000-07-12 09:12:10	ga_ls7e_ard_3-1-0_090085_2000-07-11_final
2000-07-12 09:12:34	ga_ls7e_ard_3-0-0_090086_2000-07-11_final
2000-07-29 09:55:09	ga_ls7e_ard_3-0-0_097085_2000-07-29_final
2000-08-02 09:30:48	ga_ls7e_ard_3-1-0_093086_2000-08-02_final
2000-08-04 09:18:24	ga_ls7e_ard_3-1-0_091086_2000-08-03_final
2000-08-29 09:12:01	ga_ls7e_ard_3-0-0_090086_2000-08-28_final
2000-09-14 09:11:19	ga_ls7e_ard_3-1-0_090085_2000-09-13_final
2000-09-14 09:11:42	ga_ls7e_ard_3-0-0_090086_2000-09-13_final
2000-09-15 09:54:33	ga_ls7e_ard_3-0-0_097085_2000-09-15_final
2000-09-23 09:04:58	ga_ls7e_ard_3-0-0_089085_2000-09-22_final
2000-09-23 09:05:22	ga_ls7e_ard_3-0-0_089086_2000-09-22_final
2000-09-28 09:23:53	ga_ls7e_ard_3-0-0_092086_2000-09-27_final
2000-09-30 09:11:08	ga_ls7e_ard_3-0-0_090085_2000-09-29_final
2000-09-30 09:11:32	ga_ls7e_ard_3-0-0_090086_2000-09-29_final
2017-11-30 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-11-30_final
2017-11-30 09:35:57	ga_ls7e_ard_3-0-0_092086_2017-11-30_final
2017-12-07 09:42:04	ga_ls7e_ard_3-0-0_093086_2017-12-07_final
2017-12-09 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-12-08_final
2018-01-06 09:54:05	ga_ls7e_ard_3-0-0_095086_2018-01-06_final
2018-01-08 09:41:42	ga_ls7e_ard_3-0-0_093086_2018-01-08_final
2018-01-10 09:28:55	ga_ls7e_ard_3-0-0_091085_2018-01-09_final
2018-01-10 09:29:19	ga_ls7e_ard_3-1-0_091086_2018-01-09_final
2018-01-19 09:23:00	ga_ls7e_ard_3-0-0_090086_2018-01-18_final
2018-01-22 09:53:51	ga_ls7e_ard_3-0-0_095086_2018-01-22_final
2018-01-31 09:47:07	ga_ls7e_ard_3-0-0_094085_2018-01-31_final
2018-01-31 09:47:31	ga_ls7e_ard_3-0-0_094086_2018-01-31_final
2018-02-02 09:35:08	ga_ls7e_ard_3-0-0_092086_2018-02-02_final
2018-02-04 09:22:44	ga_ls7e_ard_3-0-0_090086_2018-02-03_final
2018-02-11 09:28:49	ga_ls7e_ard_3-1-0_091086_2018-02-10_final
2018-02-13 09:16:27	ga_ls7e_ard_3-0-0_089086_2018-02-12_final
2018-02-14 09:59:42	ga_ls7e_ard_3-1-0_096086_2018-02-14_final
2018-02-16 09:47:19	ga_ls7e_ard_3-0-0_094086_2018-02-16_final
2018-02-18 09:34:56	ga_ls7e_ard_3-0-0_092086_2018-02-18_final
2018-03-16 10:11:19	ga_ls7e_ard_3-0-0_098085_2018-03-16_final
2018-03-17 09:16:05	ga_ls7e_ard_3-0-0_089086_2018-03-16_final
2018-03-18 09:58:56	ga_ls7e_ard_3-0-0_096085_2018-03-18_final
2018-03-18 09:59:20	ga_ls7e_ard_3-1-0_096086_2018-03-18_final
2018-03-20 09:46:57	ga_ls7e_ard_3-0-0_094086_2018-03-20_final
2018-03-22 09:34:10	ga_ls7e_ard_3-0-0_092085_2018-03-22_final
2018-03-22 09:34:34	ga_ls7e_ard_3-0-0_092086_2018-03-22_final
2018-04-09 09:21:32	ga_ls7e_ard_3-0-0_090085_2018-04-08_final
2018-04-09 09:21:56	ga_ls7e_ard_3-0-0_090086_2018-04-08_final
2018-04-12 09:52:23	ga_ls7e_ard_3-0-0_095085_2018-04-12_final
2018-04-12 09:52:47	ga_ls7e_ard_3-0-0_095086_2018-04-12_final
2018-04-14 09:40:00	ga_ls7e_ard_3-0-0_093085_2018-04-14_final
2018-05-20 09:14:40	ga_ls7e_ard_3-0-0_089085_2018-05-19_final
2018-05-20 09:15:03	ga_ls7e_ard_3-0-0_089086_2018-05-19_final
2018-05-25 09:33:07	ga_ls7e_ard_3-0-0_092085_2018-05-25_final
2018-05-25 09:33:31	ga_ls7e_ard_3-0-0_092086_2018-05-25_final
2018-06-10 09:32:51	ga_ls7e_ard_3-0-0_092085_2018-06-10_final
2018-06-10 09:33:15	ga_ls7e_ard_3-0-0_092086_2018-06-10_final
2018-06-28 09:20:33	ga_ls7e_ard_3-0-0_090086_2018-06-27_final
2018-06-29 10:03:23	ga_ls7e_ard_3-0-0_097085_2018-06-29_final
2018-07-01 09:51:23	ga_ls7e_ard_3-0-0_095086_2018-07-01_final
2018-07-03 09:38:59	ga_ls7e_ard_3-0-0_093086_2018-07-03_final
2018-07-21 09:26:18	ga_ls7e_ard_3-1-0_091086_2018-07-20_final
2018-07-23 09:13:30	ga_ls7e_ard_3-0-0_089085_2018-07-22_final
2018-07-23 09:13:54	ga_ls7e_ard_3-0-0_089086_2018-07-22_final
2018-07-28 09:32:21	ga_ls7e_ard_3-0-0_092086_2018-07-28_final
2018-07-30 09:19:58	ga_ls7e_ard_3-0-0_090086_2018-07-29_final
2018-08-02 09:50:24	ga_ls7e_ard_3-0-0_095085_2018-08-02_final
2018-08-02 09:50:48	ga_ls7e_ard_3-0-0_095086_2018-08-02_final
2018-08-11 09:44:28	ga_ls7e_ard_3-0-0_094086_2018-08-11_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2018-08-15 09:19:40	ga_ls7e_ard_3-0-0_090086_2018-08-14_final
2018-08-16 10:02:30	ga_ls7e_ard_3-0-0_097085_2018-08-16_final
2018-08-18 09:50:06	ga_ls7e_ard_3-0-0_095085_2018-08-18_final
2018-08-18 09:50:30	ga_ls7e_ard_3-0-0_095086_2018-08-18_final
2018-08-20 09:37:42	ga_ls7e_ard_3-0-0_093085_2018-08-20_final
2018-08-20 09:38:06	ga_ls7e_ard_3-0-0_093086_2018-08-20_final
2018-08-22 09:25:42	ga_ls7e_ard_3-1-0_091086_2018-08-21_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_final
2018-08-29 09:31:21	ga_ls7e_ard_3-0-0_092085_2018-08-29_final
2018-08-29 09:31:45	ga_ls7e_ard_3-0-0_092086_2018-08-29_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