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

61 results

Time (local)	Label
2020-05-20 10:01:17	ga_ls7e_ard_3-1-0_102068_2020-05-20_final
2020-05-20 10:06:28	ga_ls7e_ard_3-1-0_102081_2020-05-20_final
2020-05-20 10:06:52	ga_ls7e_ard_3-1-0_102082_2020-05-20_final
2020-05-21 09:11:35	ga_ls7e_ard_3-1-0_093083_2020-05-20_final
2020-05-21 09:12:47	ga_ls7e_ard_3-1-0_093086_2020-05-20_final
2020-05-21 09:13:11	ga_ls7e_ard_3-1-0_093087_2020-05-20_final
2020-05-22 09:52:47	ga_ls7e_ard_3-1-0_100078_2020-05-22_final
2020-05-22 09:53:35	ga_ls7e_ard_3-1-0_100080_2020-05-22_final
2020-05-22 09:53:59	ga_ls7e_ard_3-1-0_100081_2020-05-22_final
2020-05-22 09:54:23	ga_ls7e_ard_3-1-0_100082_2020-05-22_final
2020-05-22 09:54:47	ga_ls7e_ard_3-1-0_100083_2020-05-22_final
2020-05-23 08:57:30	ga_ls7e_ard_3-1-0_091079_2020-05-22_final
2020-05-23 08:57:54	ga_ls7e_ard_3-1-0_091080_2020-05-22_final
2020-05-23 08:58:42	ga_ls7e_ard_3-1-0_091082_2020-05-22_final
2020-05-23 08:59:30	ga_ls7e_ard_3-1-0_091084_2020-05-22_final
2020-05-23 09:00:42	ga_ls7e_ard_3-1-0_091087_2020-05-22_final
2020-05-24 09:36:42	ga_ls7e_ard_3-1-0_098069_2020-05-24_final
2020-05-24 09:37:06	ga_ls7e_ard_3-1-0_098070_2020-05-24_final
2020-05-24 09:39:06	ga_ls7e_ard_3-1-0_098075_2020-05-24_final
2020-05-24 09:39:54	ga_ls7e_ard_3-1-0_098077_2020-05-24_final
2020-05-24 09:40:42	ga_ls7e_ard_3-1-0_098079_2020-05-24_final
2020-05-24 09:41:06	ga_ls7e_ard_3-1-0_098080_2020-05-24_final
2020-05-24 09:43:05	ga_ls7e_ard_3-1-0_098085_2020-05-24_final
2020-05-25 08:44:13	ga_ls7e_ard_3-1-0_089077_2020-05-24_final
2020-05-25 08:45:25	ga_ls7e_ard_3-1-0_089080_2020-05-24_final
2020-05-25 08:45:49	ga_ls7e_ard_3-1-0_089081_2020-05-24_final
2020-05-25 08:46:13	ga_ls7e_ard_3-1-0_089082_2020-05-24_final
2020-05-25 08:47:25	ga_ls7e_ard_3-1-0_089085_2020-05-24_final
2020-05-25 10:19:30	ga_ls7e_ard_3-1-0_105068_2020-05-25_final
2020-05-25 10:20:18	ga_ls7e_ard_3-1-0_105070_2020-05-25_final
2020-05-25 10:20:42	ga_ls7e_ard_3-1-0_105071_2020-05-25_final
2020-05-25 10:21:30	ga_ls7e_ard_3-1-0_105073_2020-05-25_final
2020-05-25 10:21:54	ga_ls7e_ard_3-1-0_105074_2020-05-25_final
2020-05-25 10:22:42	ga_ls7e_ard_3-1-0_105076_2020-05-25_final
2020-05-26 09:24:37	ga_ls7e_ard_3-1-0_096070_2020-05-25_final
2020-05-26 09:25:25	ga_ls7e_ard_3-1-0_096072_2020-05-25_final
2020-05-26 09:27:25	ga_ls7e_ard_3-1-0_096077_2020-05-25_final
2020-05-26 09:27:49	ga_ls7e_ard_3-1-0_096078_2020-05-25_final
2020-05-26 09:28:37	ga_ls7e_ard_3-1-0_096080_2020-05-25_final
2020-05-26 09:30:36	ga_ls7e_ard_3-1-0_096085_2020-05-26_final
2020-05-27 10:08:37	ga_ls7e_ard_3-1-0_103072_2020-05-27_final
2020-05-27 10:10:37	ga_ls7e_ard_3-1-0_103077_2020-05-27_final
2020-05-27 10:11:01	ga_ls7e_ard_3-1-0_103078_2020-05-27_final
2020-05-27 10:12:12	ga_ls7e_ard_3-1-0_103081_2020-05-27_final
2020-05-27 10:12:36	ga_ls7e_ard_3-1-0_103082_2020-05-27_final
2020-05-28 09:13:20	ga_ls7e_ard_3-1-0_094073_2020-05-27_final
2020-05-28 09:13:44	ga_ls7e_ard_3-1-0_094074_2020-05-27_final
2020-05-28 09:15:44	ga_ls7e_ard_3-1-0_094079_2020-05-27_final
2020-05-28 09:16:32	ga_ls7e_ard_3-1-0_094081_2020-05-27_final
2020-05-28 09:18:08	ga_ls7e_ard_3-1-0_094085_2020-05-27_final
2020-05-28 09:18:32	ga_ls7e_ard_3-1-0_094086_2020-05-27_final
2020-05-28 09:18:56	ga_ls7e_ard_3-1-0_094087_2020-05-27_final
2020-05-29 09:56:56	ga_ls7e_ard_3-1-0_101074_2020-05-29_final
2020-05-29 09:57:20	ga_ls7e_ard_3-1-0_101075_2020-05-29_final
2020-05-29 09:58:08	ga_ls7e_ard_3-1-0_101077_2020-05-29_final
2020-05-29 09:59:44	ga_ls7e_ard_3-1-0_101081_2020-05-29_final
2020-05-29 10:00:32	ga_ls7e_ard_3-1-0_101083_2020-05-29_final
2020-05-31 09:44:52	ga_ls7e_ard_3-1-0_099075_2020-05-31_final
2020-06-03 10:17:11	ga_ls7e_ard_3-1-0_104079_2020-06-03_final
2020-06-04 09:19:31	ga_ls7e_ard_3-1-0_095074_2020-06-03_final
2020-06-06 09:09:26	ga_ls7e_ard_3-1-0_093080_2020-06-05_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