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
2003-12-22 09:46:37	ga_ls7e_ard_3-0-0_096085_2003-12-22_final
2003-12-24 09:34:40	ga_ls7e_ard_3-0-0_094086_2003-12-24_final
2003-12-26 09:22:20	ga_ls7e_ard_3-0-0_092086_2003-12-25_final
2004-01-22 09:03:31	ga_ls7e_ard_3-0-0_089085_2004-01-21_final
2004-01-22 09:03:55	ga_ls7e_ard_3-0-0_089086_2004-01-21_final
2004-02-03 09:28:19	ga_ls7e_ard_3-0-0_093085_2004-02-02_final
2004-02-03 09:28:43	ga_ls7e_ard_3-0-0_093086_2004-02-02_final
2004-02-12 09:22:10	ga_ls7e_ard_3-0-0_092085_2004-02-11_final
2004-02-12 09:22:34	ga_ls7e_ard_3-0-0_092086_2004-02-11_final
2004-02-14 09:09:48	ga_ls7e_ard_3-1-0_090085_2004-02-13_final
2004-02-14 09:10:12	ga_ls7e_ard_3-0-0_090086_2004-02-13_final
2004-02-17 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-02-17_final
2004-02-17 09:41:06	ga_ls7e_ard_3-0-0_095086_2004-02-17_final
2004-02-19 09:28:20	ga_ls7e_ard_3-0-0_093085_2004-02-18_final
2004-02-19 09:28:44	ga_ls7e_ard_3-0-0_093086_2004-02-18_final
2004-04-25 09:16:00	ga_ls7e_ard_3-0-0_091085_2004-04-24_final
2004-04-25 09:16:24	ga_ls7e_ard_3-1-0_091086_2004-04-24_final
2004-04-26 09:59:16	ga_ls7e_ard_3-0-0_098085_2004-04-26_final
2004-04-27 09:03:39	ga_ls7e_ard_3-0-0_089085_2004-04-26_final
2004-04-27 09:04:03	ga_ls7e_ard_3-0-0_089086_2004-04-26_final
2004-05-04 09:09:52	ga_ls7e_ard_3-1-0_090085_2004-05-03_final
2004-05-04 09:10:16	ga_ls7e_ard_3-0-0_090086_2004-05-03_final
2004-05-29 09:03:40	ga_ls7e_ard_3-0-0_089085_2004-05-28_final
2004-05-29 09:04:04	ga_ls7e_ard_3-0-0_089086_2004-05-28_final
2004-05-30 09:46:55	ga_ls7e_ard_3-0-0_096085_2004-05-30_final
2004-05-30 09:47:19	ga_ls7e_ard_3-1-0_096086_2004-05-30_final
2004-06-17 09:34:26	ga_ls7e_ard_3-0-0_094085_2004-06-17_final
2004-06-17 09:34:49	ga_ls7e_ard_3-0-0_094086_2004-06-17_final
2004-06-19 09:22:04	ga_ls7e_ard_3-0-0_092085_2004-06-18_final
2004-06-19 09:22:28	ga_ls7e_ard_3-0-0_092086_2004-06-18_final
2017-03-03 09:35:33	ga_ls7e_ard_3-0-0_092086_2017-03-03_final
2017-03-21 09:23:17	ga_ls7e_ard_3-0-0_090086_2017-03-20_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-03-26 09:41:51	ga_ls7e_ard_3-0-0_093086_2017-03-26_final
2017-03-28 09:29:30	ga_ls7e_ard_3-1-0_091086_2017-03-27_final
2017-04-29 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-04-28_final
2017-04-30 10:12:34	ga_ls7e_ard_3-0-0_098085_2017-04-30_final
2017-05-01 09:17:21	ga_ls7e_ard_3-0-0_089086_2017-04-30_final
2017-05-02 10:00:37	ga_ls7e_ard_3-1-0_096086_2017-05-02_final
2017-05-04 09:48:16	ga_ls7e_ard_3-0-0_094086_2017-05-04_final
2017-05-06 09:35:55	ga_ls7e_ard_3-0-0_092086_2017-05-06_final
2017-05-08 09:23:33	ga_ls7e_ard_3-0-0_090086_2017-05-07_final
2017-05-27 09:54:31	ga_ls7e_ard_3-0-0_095086_2017-05-27_final
2017-05-29 09:42:10	ga_ls7e_ard_3-0-0_093086_2017-05-29_final
2017-06-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-06-19_final
2017-06-21 09:48:27	ga_ls7e_ard_3-0-0_094086_2017-06-21_final
2017-06-23 09:36:05	ga_ls7e_ard_3-0-0_092086_2017-06-23_final
2017-11-09 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-11-08_final
2017-11-10 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-11-10_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
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 10:00:34	ga_ls7e_ard_3-1-0_096086_2017-12-12_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
2020-12-24 08:52:05	ga_ls7e_ard_3-1-0_092085_2020-12-23_final
2020-12-24 08:52:29	ga_ls7e_ard_3-1-0_092086_2020-12-23_final
2020-12-29 09:10:17	ga_ls7e_ard_3-1-0_095085_2020-12-28_final
2021-01-05 09:15:59	ga_ls7e_ard_3-1-0_096085_2021-01-04_final
2021-01-07 09:03:29	ga_ls7e_ard_3-1-0_094085_2021-01-06_final
2021-01-07 09:03:53	ga_ls7e_ard_3-1-0_094086_2021-01-06_final
2021-01-09 08:50:59	ga_ls7e_ard_3-1-0_092085_2021-01-08_final
2021-01-09 08:51:23	ga_ls7e_ard_3-1-0_092086_2021-01-08_final
2021-08-19 08:45:14	ga_ls7e_ard_3-2-0_094085_2021-08-18_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-08-21 08:32:42	ga_ls7e_ard_3-2-0_092085_2021-08-20_final
2021-08-21 08:33:06	ga_ls7e_ard_3-2-0_092086_2021-08-20_final
2021-08-23 08:20:11	ga_ls7e_ard_3-2-0_090085_2021-08-22_final
2021-08-23 08:20:34	ga_ls7e_ard_3-2-0_090086_2021-08-22_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-08-26 08:50:49	ga_ls7e_ard_3-2-0_095085_2021-08-25_final
2021-09-18 08:54:59	ga_ls7e_ard_3-2-0_096085_2021-09-17_final
2021-09-18 08:55:23	ga_ls7e_ard_3-2-0_096086_2021-09-17_final
2021-09-20 08:42:27	ga_ls7e_ard_3-2-0_094085_2021-09-19_final
2021-09-20 08:42:50	ga_ls7e_ard_3-2-0_094086_2021-09-19_final
2021-09-22 08:29:54	ga_ls7e_ard_3-2-0_092085_2021-09-21_final
2021-09-22 08:30:18	ga_ls7e_ard_3-2-0_092086_2021-09-21_final
2021-09-24 08:17:46	ga_ls7e_ard_3-2-0_090086_2021-09-23_final
2021-09-25 09:00:32	ga_ls7e_ard_3-2-0_097085_2021-09-24_final
2021-10-02 09:06:05	ga_ls7e_ard_3-2-0_098085_2021-10-01_final
2021-10-03 08:10:23	ga_ls7e_ard_3-2-0_089085_2021-10-02_final
2021-10-03 08:10:47	ga_ls7e_ard_3-2-0_089086_2021-10-02_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-04 08:53:57	ga_ls7e_ard_3-2-0_096086_2021-10-03_final
2021-12-23 08:46:03	ga_ls7e_ard_3-2-1_096085_2021-12-22_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-25 08:33:30	ga_ls7e_ard_3-2-1_094085_2021-12-24_final
2021-12-25 08:33:53	ga_ls7e_ard_3-2-1_094086_2021-12-24_final
2022-01-01 08:38:58	ga_ls7e_ard_3-2-1_095085_2021-12-31_final
2022-01-01 08:39:22	ga_ls7e_ard_3-2-1_095086_2021-12-31_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-03 08:26:48	ga_ls7e_ard_3-2-1_093086_2022-01-02_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_final
2022-03-29 08:37:02	ga_ls7e_ard_3-2-1_096086_2022-03-28_final
2022-03-31 08:24:05	ga_ls7e_ard_3-2-1_094085_2022-03-30_final
2022-03-31 08:24:29	ga_ls7e_ard_3-2-1_094086_2022-03-30_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