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
2003-12-28 09:09:59	ga_ls7e_ard_3-0-0_090086_2003-12-27_final
2003-12-31 09:40:30	ga_ls7e_ard_3-0-0_095085_2003-12-31_final
2003-12-31 09:40:54	ga_ls7e_ard_3-0-0_095086_2003-12-31_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
2004-03-17 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-03-16_final
2004-03-17 09:10:21	ga_ls7e_ard_3-0-0_090086_2004-03-16_final
2004-03-20 09:40:52	ga_ls7e_ard_3-0-0_095085_2004-03-20_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
2004-05-20 09:09:52	ga_ls7e_ard_3-1-0_090085_2004-05-19_final
2004-05-20 09:10:16	ga_ls7e_ard_3-0-0_090086_2004-05-19_final
2004-07-15 09:59:06	ga_ls7e_ard_3-0-0_098085_2004-07-15_final
2004-07-16 09:03:29	ga_ls7e_ard_3-0-0_089085_2004-07-15_final
2004-07-21 09:21:59	ga_ls7e_ard_3-0-0_092085_2004-07-20_final
2004-07-21 09:22:23	ga_ls7e_ard_3-0-0_092086_2004-07-20_final
2017-03-14 09:17:04	ga_ls7e_ard_3-0-0_089086_2017-03-13_final
2017-03-15 10:00:21	ga_ls7e_ard_3-1-0_096086_2017-03-15_final
2017-03-17 09:48:00	ga_ls7e_ard_3-0-0_094086_2017-03-17_final
2017-03-19 09:35:39	ga_ls7e_ard_3-0-0_092086_2017-03-19_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
2017-11-30 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
2020-02-29 09:29:29	ga_ls7e_ard_3-1-0_095085_2020-02-28_final
2020-03-02 09:17:01	ga_ls7e_ard_3-1-0_093085_2020-03-01_final
2020-03-16 09:28:37	ga_ls7e_ard_3-1-0_095085_2020-03-15_final
2020-03-16 09:29:01	ga_ls7e_ard_3-1-0_095086_2020-03-15_final
2020-03-18 09:16:08	ga_ls7e_ard_3-1-0_093085_2020-03-17_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-20 09:03:40	ga_ls7e_ard_3-1-0_091085_2020-03-19_final
2020-03-20 09:04:04	ga_ls7e_ard_3-1-0_091086_2020-03-19_final
2020-06-01 08:53:11	ga_ls7e_ard_3-1-0_090085_2020-05-31_final
2020-06-01 08:53:35	ga_ls7e_ard_3-1-0_090086_2020-05-31_final
2020-06-02 09:36:23	ga_ls7e_ard_3-1-0_097085_2020-06-02_final
2020-06-04 09:23:55	ga_ls7e_ard_3-1-0_095085_2020-06-03_final
2020-06-04 09:24:18	ga_ls7e_ard_3-1-0_095086_2020-06-03_final
2020-07-17 09:02:49	ga_ls7e_ard_3-1-0_092085_2020-07-16_final
2020-07-19 08:50:20	ga_ls7e_ard_3-1-0_090085_2020-07-18_final
2020-07-19 08:50:44	ga_ls7e_ard_3-1-0_090086_2020-07-18_final
2020-07-20 09:33:32	ga_ls7e_ard_3-1-0_097085_2020-07-20_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
2021-01-02 08:45:18	ga_ls7e_ard_3-1-0_091085_2021-01-01_final
2021-01-02 08:45:42	ga_ls7e_ard_3-1-0_091086_2021-01-01_final
2021-01-04 08:32:48	ga_ls7e_ard_3-1-0_089085_2021-01-03_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
2021-01-16 08:56:40	ga_ls7e_ard_3-1-0_093085_2021-01-15_final
2021-01-18 08:44:10	ga_ls7e_ard_3-1-0_091085_2021-01-17_final
2021-01-18 08:44:34	ga_ls7e_ard_3-1-0_091086_2021-01-17_final
2021-01-20 08:31:40	ga_ls7e_ard_3-2-0_089085_2021-01-19_final
2021-01-20 08:32:04	ga_ls7e_ard_3-2-0_089086_2021-01-19_final
2021-01-21 09:14:51	ga_ls7e_ard_3-2-0_096085_2021-01-20_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-01-23 09:02:21	ga_ls7e_ard_3-2-0_094085_2021-01-22_final
2021-01-23 09:02:45	ga_ls7e_ard_3-2-0_094086_2021-01-22_final
2021-01-25 08:49:51	ga_ls7e_ard_3-2-0_092085_2021-01-24_final
2021-01-25 08:50:15	ga_ls7e_ard_3-2-0_092086_2021-01-24_final
2021-01-27 08:37:44	ga_ls7e_ard_3-2-0_090086_2021-01-26_final
2021-01-28 09:20:31	ga_ls7e_ard_3-2-0_097085_2021-01-27_final
2021-02-03 08:43:00	ga_ls7e_ard_3-2-0_091085_2021-02-02_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-09-15 08:24:21	ga_ls7e_ard_3-2-0_091085_2021-09-14_final
2021-09-15 08:24:45	ga_ls7e_ard_3-2-0_091086_2021-09-14_final
2021-09-16 09:07:31	ga_ls7e_ard_3-2-0_098085_2021-09-15_final
2021-09-17 08:11:49	ga_ls7e_ard_3-2-0_089085_2021-09-16_final
2021-09-17 08:12:13	ga_ls7e_ard_3-2-0_089086_2021-09-16_final
2021-09-24 08:17:22	ga_ls7e_ard_3-2-0_090085_2021-09-23_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
2021-09-27 08:47:59	ga_ls7e_ard_3-2-0_095085_2021-09-26_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-10-01 08:22:55	ga_ls7e_ard_3-2-0_091085_2021-09-30_final
2021-10-01 08:23:19	ga_ls7e_ard_3-2-0_091086_2021-09-30_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
2022-04-04 07:58:58	ga_ls7e_ard_3-2-1_090085_2022-04-03_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