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
2000-03-09 09:43:45	ga_ls7e_ard_3-0-0_095084_2000-03-09_final
2000-03-25 09:44:59	ga_ls7e_ard_3-0-0_095087_2000-03-25_final
2000-05-28 09:43:09	ga_ls7e_ard_3-0-0_095084_2000-05-28_final
2001-01-07 09:41:38	ga_ls7e_ard_3-0-0_095084_2001-01-07_final
2003-04-19 09:39:56	ga_ls7e_ard_3-0-0_095084_2003-04-19_final
2007-06-01 09:41:03	ga_ls7e_ard_3-0-0_095083_2007-06-01_final
2009-12-31 09:42:28	ga_ls7e_ard_3-0-0_095084_2009-12-31_final
2010-02-17 09:42:43	ga_ls7e_ard_3-0-0_095083_2010-02-17_final
2012-10-20 09:45:47	ga_ls7e_ard_3-0-0_095081_2012-10-20_final
2013-02-25 09:46:08	ga_ls7e_ard_3-0-0_095081_2013-02-25_final
2018-04-28 09:52:06	ga_ls7e_ard_3-0-0_095085_2018-04-28_final
2018-08-18 09:48:30	ga_ls7e_ard_3-0-0_095081_2018-08-18_final
2021-02-10 08:47:52	ga_ls7e_ard_3-2-0_092083_2021-02-09_final
2021-02-15 09:03:38	ga_ls7e_ard_3-2-0_095077_2021-02-14_final
2021-02-22 10:48:58	ga_ls7e_ard_3-2-0_112079_2021-02-22_final
2021-03-01 09:14:08	ga_ls7e_ard_3-2-0_097075_2021-02-28_final
2021-03-01 10:53:24	ga_ls7e_ard_3-2-0_113076_2021-03-01_final
2021-03-04 09:46:23	ga_ls7e_ard_3-2-0_102079_2021-03-04_final
2021-03-09 10:04:08	ga_ls7e_ard_3-2-0_105078_2021-03-09_final
2021-03-10 10:46:31	ga_ls7e_ard_3-2-0_112076_2021-03-10_final
2021-03-24 10:57:46	ga_ls7e_ard_3-2-0_114076_2021-03-24_final
2021-03-25 10:02:52	ga_ls7e_ard_3-2-0_105078_2021-03-25_final
2021-03-26 09:08:22	ga_ls7e_ard_3-2-0_096081_2021-03-25_final
2021-03-28 08:54:38	ga_ls7e_ard_3-2-0_094078_2021-03-27_final
2021-03-28 08:56:38	ga_ls7e_ard_3-2-0_094083_2021-03-27_final
2021-04-01 10:08:04	ga_ls7e_ard_3-2-0_106077_2021-04-01_final
2021-04-03 09:57:09	ga_ls7e_ard_3-2-0_104081_2021-04-03_final
2021-04-04 09:00:39	ga_ls7e_ard_3-2-0_095079_2021-04-03_final
2021-04-04 10:39:31	ga_ls7e_ard_3-2-0_111079_2021-04-04_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-19 09:53:25	ga_ls7e_ard_3-2-0_104075_2021-04-19_final
2021-04-20 10:38:35	ga_ls7e_ard_3-2-0_111080_2021-04-20_final
2021-04-24 10:14:19	ga_ls7e_ard_3-2-0_107082_2021-04-24_final
2021-04-27 10:43:22	ga_ls7e_ard_3-2-0_112078_2021-04-27_final
2021-05-06 10:36:50	ga_ls7e_ard_3-2-0_111079_2021-05-06_final
2021-05-08 08:49:02	ga_ls7e_ard_3-2-0_093088_2021-05-07_final
2021-05-13 09:04:21	ga_ls7e_ard_3-2-0_096081_2021-05-12_final
2021-05-13 09:04:45	ga_ls7e_ard_3-2-0_096082_2021-05-12_final
2021-05-13 10:40:50	ga_ls7e_ard_3-2-0_112075_2021-05-13_final
2021-05-20 09:07:33	ga_ls7e_ard_3-2-0_097075_2021-05-19_final
2021-05-31 08:48:51	ga_ls7e_ard_3-2-0_094077_2021-05-30_final
2021-06-08 09:38:02	ga_ls7e_ard_3-2-0_102078_2021-06-08_final
2021-06-20 10:01:47	ga_ls7e_ard_3-2-0_106078_2021-06-20_final
2021-06-24 09:36:44	ga_ls7e_ard_3-2-0_102078_2021-06-24_final
2021-06-27 10:07:23	ga_ls7e_ard_3-2-0_107078_2021-06-27_final
2021-07-01 09:41:08	ga_ls7e_ard_3-2-0_103075_2021-07-01_final
2021-07-09 08:51:25	ga_ls7e_ard_3-2-0_095076_2021-07-08_final
2021-07-15 09:51:30	ga_ls7e_ard_3-2-0_105073_2021-07-15_final
2021-07-16 10:35:28	ga_ls7e_ard_3-2-0_112075_2021-07-16_final
2021-07-16 10:36:40	ga_ls7e_ard_3-2-0_112078_2021-07-16_final
2021-07-23 09:05:22	ga_ls7e_ard_3-2-0_097083_2021-07-22_final
2021-07-31 09:52:06	ga_ls7e_ard_3-2-0_105078_2021-07-31_final
2021-08-08 09:03:33	ga_ls7e_ard_3-2-0_097082_2021-08-07_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-08-11 09:31:48	ga_ls7e_ard_3-2-0_102076_2021-08-11_final
2021-08-18 09:38:33	ga_ls7e_ard_3-2-0_103079_2021-08-18_final
2021-08-30 08:22:58	ga_ls7e_ard_3-2-0_091078_2021-08-29_final
2021-09-02 08:51:12	ga_ls7e_ard_3-2-0_096072_2021-09-01_final
2021-09-02 10:31:17	ga_ls7e_ard_3-2-0_112075_2021-09-02_final
2021-09-05 09:25:02	ga_ls7e_ard_3-2-0_101080_2021-09-04_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-10 09:42:44	ga_ls7e_ard_3-2-0_104079_2021-09-10_final
2021-09-18 10:29:52	ga_ls7e_ard_3-2-0_112075_2021-09-18_final
2021-09-18 10:30:16	ga_ls7e_ard_3-2-0_112076_2021-09-18_final
2021-09-27 10:23:40	ga_ls7e_ard_3-2-0_111077_2021-09-27_final
2021-10-06 08:38:38	ga_ls7e_ard_3-2-0_094079_2021-10-05_final
2021-10-09 09:07:40	ga_ls7e_ard_3-2-0_099075_2021-10-08_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-13 10:22:16	ga_ls7e_ard_3-2-0_111077_2021-10-13_final
2021-10-29 08:42:20	ga_ls7e_ard_3-2-0_095078_2021-10-28_final
2021-10-31 08:29:48	ga_ls7e_ard_3-2-0_093078_2021-10-30_final
2021-11-05 10:27:32	ga_ls7e_ard_3-2-0_112080_2021-11-05_final
2021-11-12 10:31:51	ga_ls7e_ard_3-2-1_113077_2021-11-12_final
2021-11-15 09:24:46	ga_ls7e_ard_3-2-1_102080_2021-11-14_final
2021-11-17 09:12:13	ga_ls7e_ard_3-2-1_100080_2021-11-16_final
2021-11-23 08:32:57	ga_ls7e_ard_3-2-1_094076_2021-11-22_final
2021-11-23 08:33:45	ga_ls7e_ard_3-2-1_094078_2021-11-22_final
2021-11-28 10:29:54	ga_ls7e_ard_3-2-1_113076_2021-11-28_final
2021-12-08 09:26:46	ga_ls7e_ard_3-2-1_103075_2021-12-07_final
2021-12-12 09:01:16	ga_ls7e_ard_3-2-1_099074_2021-12-11_final
2021-12-17 09:21:19	ga_ls7e_ard_3-2-1_102079_2021-12-16_final
2021-12-29 09:46:03	ga_ls7e_ard_3-2-1_106082_2021-12-29_final
2022-01-01 08:35:46	ga_ls7e_ard_3-2-1_095077_2021-12-31_final
2022-01-02 09:19:43	ga_ls7e_ard_3-2-1_102079_2022-01-01_final
2022-01-08 08:40:28	ga_ls7e_ard_3-2-1_096075_2022-01-07_final
2022-01-09 09:23:14	ga_ls7e_ard_3-2-1_103074_2022-01-08_final
2022-01-31 08:44:50	ga_ls7e_ard_3-2-1_097076_2022-01-30_final
2022-02-09 08:40:08	ga_ls7e_ard_3-2-1_096082_2022-02-08_final
2022-02-11 08:25:10	ga_ls7e_ard_3-2-1_094076_2022-02-10_final
2022-02-13 09:51:53	ga_ls7e_ard_3-2-1_108077_2022-02-13_final
2022-02-20 08:20:53	ga_ls7e_ard_3-2-1_093083_2022-02-19_final
2022-02-22 09:46:25	ga_ls7e_ard_3-2-1_107081_2022-02-22_final
2022-02-23 08:48:42	ga_ls7e_ard_3-2-1_098076_2022-02-22_final
2022-03-04 08:41:16	ga_ls7e_ard_3-2-1_097075_2022-03-03_final
2022-03-04 10:21:20	ga_ls7e_ard_3-2-1_113078_2022-03-04_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-03-30 09:15:48	ga_ls7e_ard_3-2-1_103075_2022-03-29_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years