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
2021-05-03 10:03:00	ga_ls7e_ard_3-2-0_106071_2021-05-03_final
2021-05-13 09:00:22	ga_ls7e_ard_3-2-0_096071_2021-05-12_final
2021-05-16 09:31:24	ga_ls7e_ard_3-2-0_101072_2021-05-16_final
2021-05-18 09:19:17	ga_ls7e_ard_3-2-0_099073_2021-05-17_final
2021-05-20 10:48:01	ga_ls7e_ard_3-2-0_113079_2021-05-20_final
2021-05-21 09:50:19	ga_ls7e_ard_3-2-0_104074_2021-05-21_final
2021-05-22 08:55:49	ga_ls7e_ard_3-2-0_095077_2021-05-21_final
2021-05-22 10:30:42	ga_ls7e_ard_3-2-0_111067_2021-05-22_final
2021-05-24 08:43:17	ga_ls7e_ard_3-2-0_093077_2021-05-23_final
2021-05-28 09:53:54	ga_ls7e_ard_3-2-0_105069_2021-05-28_final
2021-05-30 09:41:46	ga_ls7e_ard_3-2-0_103070_2021-05-30_final
2021-05-30 09:44:10	ga_ls7e_ard_3-2-0_103076_2021-05-30_final
2021-06-02 10:13:12	ga_ls7e_ard_3-2-0_108072_2021-06-02_final
2021-06-05 09:04:35	ga_ls7e_ard_3-2-0_097071_2021-06-04_final
2021-06-07 08:56:03	ga_ls7e_ard_3-2-0_095081_2021-06-06_final
2021-06-08 09:37:38	ga_ls7e_ard_3-2-0_102077_2021-06-08_final
2021-06-09 08:41:32	ga_ls7e_ard_3-2-0_093076_2021-06-08_final
2021-06-10 09:23:07	ga_ls7e_ard_3-2-0_100072_2021-06-09_final
2021-06-13 09:53:47	ga_ls7e_ard_3-2-0_105072_2021-06-13_final
2021-06-14 10:38:33	ga_ls7e_ard_3-2-0_112076_2021-06-14_final
2021-06-16 08:47:57	ga_ls7e_ard_3-2-0_094078_2021-06-15_final
2021-06-18 08:35:49	ga_ls7e_ard_3-2-0_092079_2021-06-17_final
2021-06-18 10:11:55	ga_ls7e_ard_3-2-0_108072_2021-06-18_final
2021-06-23 10:31:14	ga_ls7e_ard_3-2-0_111075_2021-06-23_final
2021-06-23 10:31:38	ga_ls7e_ard_3-2-0_111076_2021-06-23_final
2021-06-25 08:43:01	ga_ls7e_ard_3-2-0_093083_2021-06-24_final
2021-07-01 09:40:20	ga_ls7e_ard_3-2-0_103073_2021-07-01_final
2021-07-03 09:28:36	ga_ls7e_ard_3-2-0_101075_2021-07-02_final
2021-07-04 10:12:34	ga_ls7e_ard_3-2-0_108077_2021-07-04_final
2021-07-05 09:16:04	ga_ls7e_ard_3-2-0_099075_2021-07-04_final
2021-07-07 09:03:09	ga_ls7e_ard_3-2-0_097074_2021-07-06_final
2021-07-07 10:43:13	ga_ls7e_ard_3-2-0_113077_2021-07-07_final
2021-07-07 10:44:01	ga_ls7e_ard_3-2-0_113079_2021-07-07_final
2021-07-09 08:50:37	ga_ls7e_ard_3-2-0_095074_2021-07-08_final
2021-07-10 09:32:35	ga_ls7e_ard_3-2-0_102071_2021-07-10_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-12 09:21:39	ga_ls7e_ard_3-2-0_100075_2021-07-11_final
2021-07-14 09:08:44	ga_ls7e_ard_3-2-0_098074_2021-07-13_final
2021-07-15 09:50:18	ga_ls7e_ard_3-2-0_105070_2021-07-15_final
2021-07-18 08:44:28	ga_ls7e_ard_3-2-0_094076_2021-07-17_final
2021-07-19 09:26:26	ga_ls7e_ard_3-2-0_101073_2021-07-18_final
2021-07-22 09:57:29	ga_ls7e_ard_3-2-0_106074_2021-07-22_final
2021-07-23 09:00:58	ga_ls7e_ard_3-2-0_097072_2021-07-22_final
2021-07-26 09:33:36	ga_ls7e_ard_3-2-0_102077_2021-07-26_final
2021-07-26 09:34:48	ga_ls7e_ard_3-2-0_102080_2021-07-26_final
2021-07-27 10:17:11	ga_ls7e_ard_3-2-0_109078_2021-07-27_final
2021-07-29 10:02:15	ga_ls7e_ard_3-2-0_107072_2021-07-29_final
2021-07-29 10:05:50	ga_ls7e_ard_3-2-0_107081_2021-07-29_final
2021-08-01 08:57:36	ga_ls7e_ard_3-2-0_096081_2021-07-31_final
2021-08-06 09:12:30	ga_ls7e_ard_3-2-0_099073_2021-08-05_final
2021-08-09 09:41:32	ga_ls7e_ard_3-2-0_104069_2021-08-09_final
2021-08-10 08:51:01	ga_ls7e_ard_3-2-0_095082_2021-08-09_final
2021-08-13 09:21:15	ga_ls7e_ard_3-2-0_100081_2021-08-12_final
2021-08-13 09:22:27	ga_ls7e_ard_3-2-0_100084_2021-08-12_final
2021-08-16 09:51:05	ga_ls7e_ard_3-2-0_105079_2021-08-16_final
2021-08-17 10:35:51	ga_ls7e_ard_3-2-0_112083_2021-08-17_final
2021-08-19 08:44:02	ga_ls7e_ard_3-2-0_094082_2021-08-18_final
2021-08-24 09:01:45	ga_ls7e_ard_3-2-0_097081_2021-08-23_final
2021-08-26 08:48:49	ga_ls7e_ard_3-2-0_095080_2021-08-25_final
2021-08-26 10:28:06	ga_ls7e_ard_3-2-0_111081_2021-08-26_final
2021-08-28 08:36:17	ga_ls7e_ard_3-2-0_093080_2021-08-27_final
2021-08-29 09:19:04	ga_ls7e_ard_3-2-0_100079_2021-08-28_final
2021-09-04 08:44:15	ga_ls7e_ard_3-2-0_094086_2021-09-03_final
2021-09-06 08:30:08	ga_ls7e_ard_3-2-0_092082_2021-09-05_final
2021-09-08 09:56:04	ga_ls7e_ard_3-2-0_106081_2021-09-08_final
2021-09-09 10:37:15	ga_ls7e_ard_3-2-0_113076_2021-09-09_final
2021-09-13 10:14:34	ga_ls7e_ard_3-2-0_109082_2021-09-13_final
2021-09-15 10:00:02	ga_ls7e_ard_3-2-0_107077_2021-09-15_final
2021-09-16 09:02:44	ga_ls7e_ard_3-2-0_098073_2021-09-15_final
2021-09-22 08:26:19	ga_ls7e_ard_3-2-0_092076_2021-09-21_final
2021-09-22 08:26:43	ga_ls7e_ard_3-2-0_092077_2021-09-21_final
2021-09-25 08:55:45	ga_ls7e_ard_3-2-0_097073_2021-09-24_final
2021-09-25 08:57:20	ga_ls7e_ard_3-2-0_097077_2021-09-24_final
2021-09-29 08:36:39	ga_ls7e_ard_3-2-0_093088_2021-09-28_final
2021-10-04 08:49:10	ga_ls7e_ard_3-2-0_096074_2021-10-03_final
2021-10-05 09:31:08	ga_ls7e_ard_3-2-0_103071_2021-10-05_final
2021-10-06 10:17:54	ga_ls7e_ard_3-2-0_110080_2021-10-06_final
2021-10-07 09:19:00	ga_ls7e_ard_3-2-0_101072_2021-10-06_final
2021-10-10 08:15:09	ga_ls7e_ard_3-2-0_090083_2021-10-09_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-13 10:24:16	ga_ls7e_ard_3-2-0_111082_2021-10-13_final
2021-10-15 10:10:08	ga_ls7e_ard_3-2-0_109078_2021-10-15_final
2021-10-16 09:16:01	ga_ls7e_ard_3-2-0_100082_2021-10-15_final
2021-10-19 08:07:22	ga_ls7e_ard_3-2-0_089081_2021-10-18_final
2021-10-19 09:41:52	ga_ls7e_ard_3-2-0_105070_2021-10-19_final
2021-10-20 10:28:13	ga_ls7e_ard_3-2-0_112078_2021-10-20_final
2021-10-22 10:16:29	ga_ls7e_ard_3-2-0_110080_2021-10-22_final
2021-10-28 09:37:39	ga_ls7e_ard_3-2-0_104077_2021-10-28_final
2021-10-29 10:20:25	ga_ls7e_ard_3-2-0_111076_2021-10-29_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-02 09:57:43	ga_ls7e_ard_3-2-0_107082_2021-11-02_final
2021-11-05 08:45:52	ga_ls7e_ard_3-2-0_096073_2021-11-04_final
2021-11-09 08:24:45	ga_ls7e_ard_3-2-0_092083_2021-11-08_final
2021-11-09 10:01:38	ga_ls7e_ard_3-2-0_108078_2021-11-09_final
2021-11-14 10:18:53	ga_ls7e_ard_3-2-1_111076_2021-11-14_final
2021-11-15 09:22:46	ga_ls7e_ard_3-2-1_102075_2021-11-14_final
2021-11-20 08:03:56	ga_ls7e_ard_3-2-1_089080_2021-11-19_final
2021-11-20 09:42:01	ga_ls7e_ard_3-2-1_105078_2021-11-20_final
2021-11-23 08:33:45	ga_ls7e_ard_3-2-1_094078_2021-11-22_final
2021-12-07 08:43:36	ga_ls7e_ard_3-2-1_096075_2021-12-06_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years