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
2021-01-26 11:07:55	ga_ls7e_ard_3-2-0_115075_2021-01-26_final
2021-01-27 10:13:01	ga_ls7e_ard_3-2-0_106077_2021-01-27_final
2021-01-28 09:20:31	ga_ls7e_ard_3-2-0_097085_2021-01-27_final
2021-02-08 10:36:52	ga_ls7e_ard_3-2-0_110077_2021-02-08_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-02-19 10:15:06	ga_ls7e_ard_3-2-0_107071_2021-02-19_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-09 08:28:03	ga_ls7e_ard_3-2-0_089085_2021-03-08_final
2021-03-10 10:48:55	ga_ls7e_ard_3-2-0_112082_2021-03-10_final
2021-03-15 09:22:12	ga_ls7e_ard_3-2-0_099067_2021-03-14_final
2021-03-23 10:12:35	ga_ls7e_ard_3-2-0_107071_2021-03-23_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-04-19 09:56:12	ga_ls7e_ard_3-2-0_104082_2021-04-19_final
2021-05-03 08:27:19	ga_ls7e_ard_3-2-0_090079_2021-05-02_final
2021-05-11 09:18:05	ga_ls7e_ard_3-2-0_098084_2021-05-10_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-05-28 08:21:48	ga_ls7e_ard_3-2-0_089086_2021-05-27_final
2021-06-19 09:15:25	ga_ls7e_ard_3-2-0_099070_2021-06-18_final
2021-06-20 08:22:30	ga_ls7e_ard_3-2-0_090077_2021-06-19_final
2021-06-27 08:28:54	ga_ls7e_ard_3-2-0_091079_2021-06-26_final
2021-06-27 08:29:18	ga_ls7e_ard_3-2-0_091080_2021-06-26_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-06-29 08:17:34	ga_ls7e_ard_3-2-0_089082_2021-06-28_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-13 08:27:57	ga_ls7e_ard_3-2-0_091080_2021-07-12_final
2021-07-13 10:04:50	ga_ls7e_ard_3-2-0_107075_2021-07-13_final
2021-07-14 10:47:36	ga_ls7e_ard_3-2-0_114074_2021-07-14_final
2021-07-16 10:39:04	ga_ls7e_ard_3-2-0_112084_2021-07-16_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-22 08:19:48	ga_ls7e_ard_3-2-0_090077_2021-07-21_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-09 09:43:08	ga_ls7e_ard_3-2-0_104073_2021-08-09_final
2021-08-09 09:46:44	ga_ls7e_ard_3-2-0_104082_2021-08-09_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-17 08:50:35	ga_ls7e_ard_3-2-0_096067_2021-08-16_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-28 10:11:11	ga_ls7e_ard_3-2-0_109070_2021-08-28_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-06 10:04:13	ga_ls7e_ard_3-2-0_108070_2021-09-06_final
2021-09-15 09:59:14	ga_ls7e_ard_3-2-0_107075_2021-09-15_final
2021-09-17 08:09:25	ga_ls7e_ard_3-2-0_089079_2021-09-16_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-09-25 10:35:01	ga_ls7e_ard_3-2-0_113074_2021-09-25_final
2021-10-05 09:35:08	ga_ls7e_ard_3-2-0_103081_2021-10-05_final
2021-10-12 09:37:30	ga_ls7e_ard_3-2-0_104073_2021-10-12_final
2021-10-22 08:34:48	ga_ls7e_ard_3-2-0_094073_2021-10-21_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-10-30 09:23:30	ga_ls7e_ard_3-2-0_102073_2021-10-29_final
2021-11-02 09:54:55	ga_ls7e_ard_3-2-0_107075_2021-11-02_final
2021-11-07 10:09:48	ga_ls7e_ard_3-2-0_110067_2021-11-07_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-11-10 10:43:36	ga_ls7e_ard_3-2-0_115075_2021-11-10_final
2021-11-11 09:47:05	ga_ls7e_ard_3-2-0_106073_2021-11-11_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-11-26 09:03:10	ga_ls7e_ard_3-2-1_099075_2021-11-25_final
2021-12-05 10:37:01	ga_ls7e_ard_3-2-1_114080_2021-12-05_final
2021-12-09 10:08:44	ga_ls7e_ard_3-2-1_110072_2021-12-09_final
2021-12-11 09:56:59	ga_ls7e_ard_3-2-1_108074_2021-12-11_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-16 08:41:21	ga_ls7e_ard_3-2-1_095087_2021-12-15_final
2021-12-17 09:22:07	ga_ls7e_ard_3-2-1_102081_2021-12-16_final
2021-12-18 08:28:00	ga_ls7e_ard_3-2-1_093085_2021-12-17_final
2021-12-18 10:02:29	ga_ls7e_ard_3-2-1_109074_2021-12-18_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2021-12-20 09:49:08	ga_ls7e_ard_3-2-1_107072_2021-12-20_final
2021-12-22 09:38:34	ga_ls7e_ard_3-2-1_105077_2021-12-22_final
2021-12-25 10:08:47	ga_ls7e_ard_3-2-1_110076_2021-12-25_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-06 10:34:17	ga_ls7e_ard_3-2-1_114081_2022-01-06_final
2022-01-07 09:35:47	ga_ls7e_ard_3-2-1_105074_2022-01-07_final
2022-01-11 09:11:53	ga_ls7e_ard_3-2-1_101077_2022-01-10_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-13 10:39:25	ga_ls7e_ard_3-2-1_115080_2022-01-13_final
2022-01-14 08:05:37	ga_ls7e_ard_3-2-1_090082_2022-01-13_final
2022-01-22 08:52:18	ga_ls7e_ard_3-2-1_098077_2022-01-21_final
2022-01-25 09:21:43	ga_ls7e_ard_3-2-1_103074_2022-01-24_final
2022-01-26 10:04:52	ga_ls7e_ard_3-2-1_110074_2022-01-26_final
2022-01-29 08:57:24	ga_ls7e_ard_3-2-1_099076_2022-01-28_final
2022-01-29 10:35:52	ga_ls7e_ard_3-2-1_115075_2022-01-29_final
2022-02-05 09:02:52	ga_ls7e_ard_3-2-1_100076_2022-02-04_final
2022-02-07 10:28:47	ga_ls7e_ard_3-2-1_114075_2022-02-07_final
2022-02-07 10:30:47	ga_ls7e_ard_3-2-1_114080_2022-02-07_final
2022-02-08 07:55:47	ga_ls7e_ard_3-2-1_089079_2022-02-07_final
2022-02-08 09:35:51	ga_ls7e_ard_3-2-1_105082_2022-02-08_final
2022-02-14 08:56:57	ga_ls7e_ard_3-2-1_099079_2022-02-13_final
2022-03-02 10:33:30	ga_ls7e_ard_3-2-1_115077_2022-03-02_final
2022-03-03 09:34:59	ga_ls7e_ard_3-2-1_106070_2022-03-03_final
2022-03-11 08:47:57	ga_ls7e_ard_3-2-1_098078_2022-03-10_final
2022-03-12 07:52:13	ga_ls7e_ard_3-2-1_089078_2022-03-11_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_final
2022-03-18 08:53:48	ga_ls7e_ard_3-2-1_099079_2022-03-17_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_final
2022-03-23 09:12:41	ga_ls7e_ard_3-2-1_102081_2022-03-22_final
2022-03-24 09:53:27	ga_ls7e_ard_3-2-1_109075_2022-03-24_final
2022-04-01 09:06:27	ga_ls7e_ard_3-2-1_101083_2022-03-31_final
2022-04-03 08:52:17	ga_ls7e_ard_3-2-1_099079_2022-04-02_final
2022-04-05 08:42:07	ga_ls7e_ard_3-2-1_097085_2022-04-04_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