Search ga_ls7e_ard_3 across September 2015

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
2015-09-01 09:11:09	ga_ls7e_ard_3-0-0_089077_2015-08-31_final
2015-09-01 09:11:33	ga_ls7e_ard_3-0-0_089078_2015-08-31_final
2015-09-01 09:11:57	ga_ls7e_ard_3-0-0_089079_2015-08-31_final
2015-09-01 09:12:21	ga_ls7e_ard_3-0-0_089080_2015-08-31_final
2015-09-01 09:12:45	ga_ls7e_ard_3-1-0_089081_2015-08-31_final
2015-09-01 09:13:09	ga_ls7e_ard_3-0-0_089082_2015-08-31_final
2015-09-01 09:13:33	ga_ls7e_ard_3-0-0_089083_2015-08-31_final
2015-09-01 09:13:57	ga_ls7e_ard_3-0-0_089084_2015-08-31_final
2015-09-01 09:14:21	ga_ls7e_ard_3-0-0_089085_2015-08-31_final
2015-09-01 09:14:45	ga_ls7e_ard_3-0-0_089086_2015-08-31_final
2015-09-15 09:28:00	ga_ls7e_ard_3-0-0_091088_2015-09-14_final
2015-09-15 09:28:24	ga_ls7e_ard_3-0-0_091089_2015-09-14_final
2015-09-17 09:12:27	ga_ls7e_ard_3-0-0_089080_2015-09-16_final
2015-09-17 09:12:51	ga_ls7e_ard_3-1-0_089081_2015-09-16_final
2015-09-17 09:13:15	ga_ls7e_ard_3-0-0_089082_2015-09-16_final
2015-09-17 09:13:39	ga_ls7e_ard_3-0-0_089083_2015-09-16_final
2015-09-17 09:14:03	ga_ls7e_ard_3-0-0_089084_2015-09-16_final
2015-09-17 09:14:27	ga_ls7e_ard_3-0-0_089085_2015-09-16_final
2015-09-17 09:14:51	ga_ls7e_ard_3-0-0_089086_2015-09-16_final
2015-09-17 09:16:03	ga_ls7e_ard_3-1-0_089089_2015-09-16_final
2015-09-17 09:16:27	ga_ls7e_ard_3-0-0_089090_2015-09-16_final
2015-09-18 09:50:32	ga_ls7e_ard_3-0-0_096067_2015-09-18_final
2015-09-18 09:51:44	ga_ls7e_ard_3-0-0_096070_2015-09-18_final
2015-09-18 09:52:08	ga_ls7e_ard_3-0-0_096071_2015-09-18_final
2015-09-18 09:52:32	ga_ls7e_ard_3-0-0_096072_2015-09-18_final
2015-09-18 09:52:55	ga_ls7e_ard_3-0-0_096073_2015-09-18_final
2015-09-19 10:34:12	ga_ls7e_ard_3-0-0_103068_2015-09-19_final
2015-09-19 10:34:36	ga_ls7e_ard_3-0-0_103069_2015-09-19_final
2015-09-19 10:35:00	ga_ls7e_ard_3-0-0_103070_2015-09-19_final
2015-09-19 10:35:24	ga_ls7e_ard_3-0-0_103071_2015-09-19_final
2015-09-19 10:35:48	ga_ls7e_ard_3-0-0_103072_2015-09-19_final
2015-09-19 10:36:11	ga_ls7e_ard_3-0-0_103073_2015-09-19_final
2015-09-19 10:36:35	ga_ls7e_ard_3-0-0_103074_2015-09-19_final
2015-09-19 10:36:59	ga_ls7e_ard_3-0-0_103075_2015-09-19_final
2015-09-19 10:37:23	ga_ls7e_ard_3-0-0_103076_2015-09-19_final
2015-09-19 10:37:47	ga_ls7e_ard_3-0-0_103077_2015-09-19_final
2015-09-19 10:38:11	ga_ls7e_ard_3-0-0_103078_2015-09-19_final
2015-09-19 10:38:35	ga_ls7e_ard_3-0-0_103079_2015-09-19_final
2015-09-19 10:38:59	ga_ls7e_ard_3-0-0_103080_2015-09-19_final
2015-09-19 10:39:23	ga_ls7e_ard_3-0-0_103081_2015-09-19_final
2015-09-19 10:39:47	ga_ls7e_ard_3-0-0_103082_2015-09-19_final
2015-09-20 09:38:11	ga_ls7e_ard_3-1-0_094067_2015-09-20_final
2015-09-20 09:40:34	ga_ls7e_ard_3-0-0_094073_2015-09-20_final
2015-09-20 09:40:58	ga_ls7e_ard_3-0-0_094074_2015-09-20_final
2015-09-20 09:41:22	ga_ls7e_ard_3-0-0_094075_2015-09-20_final
2015-09-20 09:41:46	ga_ls7e_ard_3-0-0_094076_2015-09-20_final
2015-09-20 09:42:10	ga_ls7e_ard_3-0-0_094077_2015-09-20_final
2015-09-20 09:42:34	ga_ls7e_ard_3-0-0_094078_2015-09-20_final
2015-09-20 09:42:58	ga_ls7e_ard_3-0-0_094079_2015-09-20_final
2015-09-20 09:43:22	ga_ls7e_ard_3-0-0_094080_2015-09-20_final
2015-09-20 09:43:46	ga_ls7e_ard_3-0-0_094081_2015-09-20_final
2015-09-20 09:44:10	ga_ls7e_ard_3-0-0_094082_2015-09-20_final
2015-09-20 09:44:34	ga_ls7e_ard_3-0-0_094083_2015-09-20_final
2015-09-20 09:44:58	ga_ls7e_ard_3-0-0_094084_2015-09-20_final
2015-09-20 09:45:22	ga_ls7e_ard_3-0-0_094085_2015-09-20_final
2015-09-20 09:45:46	ga_ls7e_ard_3-0-0_094086_2015-09-20_final
2015-09-20 09:46:10	ga_ls7e_ard_3-0-0_094087_2015-09-20_final
2015-09-20 11:17:04	ga_ls7e_ard_3-0-0_110067_2015-09-20_final
2015-09-20 11:18:16	ga_ls7e_ard_3-0-0_110070_2015-09-20_final
2015-09-20 11:18:40	ga_ls7e_ard_3-0-0_110071_2015-09-20_final
2015-09-20 11:19:03	ga_ls7e_ard_3-1-0_110072_2015-09-20_final
2015-09-20 11:19:27	ga_ls7e_ard_3-0-0_110073_2015-09-20_final
2015-09-20 11:19:51	ga_ls7e_ard_3-0-0_110074_2015-09-20_final
2015-09-20 11:20:15	ga_ls7e_ard_3-0-0_110075_2015-09-20_final
2015-09-20 11:20:39	ga_ls7e_ard_3-0-0_110076_2015-09-20_final
2015-09-20 11:21:03	ga_ls7e_ard_3-0-0_110077_2015-09-20_final
2015-09-20 11:21:27	ga_ls7e_ard_3-0-0_110078_2015-09-20_final
2015-09-20 11:21:51	ga_ls7e_ard_3-0-0_110079_2015-09-20_final
2015-09-20 11:22:15	ga_ls7e_ard_3-0-0_110080_2015-09-20_final
2015-09-20 11:22:39	ga_ls7e_ard_3-0-0_110081_2015-09-20_final
2015-09-20 11:23:03	ga_ls7e_ard_3-0-0_110082_2015-09-20_final
2015-09-20 11:23:27	ga_ls7e_ard_3-0-0_110083_2015-09-20_final
2015-09-20 11:23:51	ga_ls7e_ard_3-0-0_110084_2015-09-20_final
2015-09-21 10:23:02	ga_ls7e_ard_3-0-0_101071_2015-09-21_final
2015-09-21 10:23:26	ga_ls7e_ard_3-0-0_101072_2015-09-21_final
2015-09-21 10:23:50	ga_ls7e_ard_3-0-0_101073_2015-09-21_final
2015-09-21 10:24:14	ga_ls7e_ard_3-0-0_101074_2015-09-21_final
2015-09-21 10:24:38	ga_ls7e_ard_3-1-0_101075_2015-09-21_final
2015-09-21 10:25:02	ga_ls7e_ard_3-0-0_101076_2015-09-21_final
2015-09-21 10:25:26	ga_ls7e_ard_3-0-0_101077_2015-09-21_final
2015-09-21 10:25:50	ga_ls7e_ard_3-0-0_101078_2015-09-21_final
2015-09-21 10:26:14	ga_ls7e_ard_3-0-0_101079_2015-09-21_final
2015-09-21 10:26:38	ga_ls7e_ard_3-0-0_101080_2015-09-21_final
2015-09-21 10:27:02	ga_ls7e_ard_3-0-0_101081_2015-09-21_final
2015-09-21 10:27:26	ga_ls7e_ard_3-0-0_101082_2015-09-21_final
2015-09-29 09:40:24	ga_ls7e_ard_3-0-0_093088_2015-09-29_final
2015-09-29 11:12:06	ga_ls7e_ard_3-0-0_109070_2015-09-29_final
2015-09-29 11:12:30	ga_ls7e_ard_3-0-0_109071_2015-09-29_final
2015-09-29 11:12:54	ga_ls7e_ard_3-0-0_109072_2015-09-29_final
2015-09-29 11:13:18	ga_ls7e_ard_3-0-0_109073_2015-09-29_final
2015-09-29 11:13:42	ga_ls7e_ard_3-0-0_109074_2015-09-29_final
2015-09-29 11:14:06	ga_ls7e_ard_3-0-0_109075_2015-09-29_final
2015-09-29 11:14:30	ga_ls7e_ard_3-0-0_109076_2015-09-29_final
2015-09-29 11:14:54	ga_ls7e_ard_3-0-0_109077_2015-09-29_final
2015-09-29 11:15:18	ga_ls7e_ard_3-0-0_109078_2015-09-29_final
2015-09-29 11:15:42	ga_ls7e_ard_3-0-0_109079_2015-09-29_final
2015-09-29 11:16:05	ga_ls7e_ard_3-0-0_109080_2015-09-29_final
2015-09-29 11:16:29	ga_ls7e_ard_3-1-0_109081_2015-09-29_final
2015-09-29 11:16:53	ga_ls7e_ard_3-0-0_109082_2015-09-29_final
2015-09-29 11:17:17	ga_ls7e_ard_3-0-0_109083_2015-09-29_final

Return to ga_ls7e_ard_3 across September 2015 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

2015

September

All days