Search ga_ls7e_ard_3 across February 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
2015-02-02 10:15:35	ga_ls7e_ard_3-0-0_100071_2015-02-02_final
2015-02-02 10:15:59	ga_ls7e_ard_3-0-0_100072_2015-02-02_final
2015-02-02 10:16:23	ga_ls7e_ard_3-0-0_100073_2015-02-02_final
2015-02-02 10:16:47	ga_ls7e_ard_3-0-0_100074_2015-02-02_final
2015-02-02 10:17:11	ga_ls7e_ard_3-0-0_100075_2015-02-02_final
2015-02-02 10:17:35	ga_ls7e_ard_3-0-0_100076_2015-02-02_final
2015-02-03 09:23:34	ga_ls7e_ard_3-0-0_091080_2015-02-02_final
2015-02-03 09:23:58	ga_ls7e_ard_3-1-0_091081_2015-02-02_final
2015-02-03 09:24:22	ga_ls7e_ard_3-0-0_091082_2015-02-02_final
2015-02-03 09:24:46	ga_ls7e_ard_3-0-0_091083_2015-02-02_final
2015-02-03 09:25:09	ga_ls7e_ard_3-0-0_091084_2015-02-02_final
2015-02-03 09:25:33	ga_ls7e_ard_3-0-0_091085_2015-02-02_final
2015-02-03 09:25:57	ga_ls7e_ard_3-1-0_091086_2015-02-02_final
2015-02-03 09:26:21	ga_ls7e_ard_3-0-0_091087_2015-02-02_final
2015-02-03 09:26:45	ga_ls7e_ard_3-0-0_091088_2015-02-02_final
2015-02-03 09:27:09	ga_ls7e_ard_3-0-0_091089_2015-02-02_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-02-04 10:01:38	ga_ls7e_ard_3-0-0_098067_2015-02-04_final
2015-02-04 10:02:02	ga_ls7e_ard_3-0-0_098068_2015-02-04_final
2015-02-04 10:02:26	ga_ls7e_ard_3-0-0_098069_2015-02-04_final
2015-02-04 10:02:50	ga_ls7e_ard_3-0-0_098070_2015-02-04_final
2015-02-04 10:03:14	ga_ls7e_ard_3-0-0_098071_2015-02-04_final
2015-02-04 10:03:38	ga_ls7e_ard_3-0-0_098072_2015-02-04_final
2015-02-04 10:04:02	ga_ls7e_ard_3-0-0_098073_2015-02-04_final
2015-02-04 10:04:26	ga_ls7e_ard_3-0-0_098074_2015-02-04_final
2015-02-04 10:04:50	ga_ls7e_ard_3-0-0_098075_2015-02-04_final
2015-02-04 10:05:14	ga_ls7e_ard_3-0-0_098076_2015-02-04_final
2015-02-04 10:05:38	ga_ls7e_ard_3-0-0_098077_2015-02-04_final
2015-02-04 10:06:02	ga_ls7e_ard_3-0-0_098078_2015-02-04_final
2015-02-04 10:06:26	ga_ls7e_ard_3-0-0_098079_2015-02-04_final
2015-02-04 10:06:50	ga_ls7e_ard_3-0-0_098080_2015-02-04_final
2015-02-04 10:07:14	ga_ls7e_ard_3-0-0_098081_2015-02-04_final
2015-02-04 10:07:38	ga_ls7e_ard_3-0-0_098082_2015-02-04_final
2015-02-04 10:08:01	ga_ls7e_ard_3-0-0_098083_2015-02-04_final
2015-02-05 09:10:25	ga_ls7e_ard_3-0-0_089078_2015-02-04_final
2015-02-05 09:10:49	ga_ls7e_ard_3-0-0_089079_2015-02-04_final
2015-02-05 09:11:12	ga_ls7e_ard_3-0-0_089080_2015-02-04_final
2015-02-05 09:11:36	ga_ls7e_ard_3-1-0_089081_2015-02-04_final
2015-02-05 09:12:00	ga_ls7e_ard_3-0-0_089082_2015-02-04_final
2015-02-05 09:12:24	ga_ls7e_ard_3-0-0_089083_2015-02-04_final
2015-02-05 09:13:12	ga_ls7e_ard_3-0-0_089085_2015-02-04_final
2015-02-23 10:33:03	ga_ls7e_ard_3-0-0_103068_2015-02-23_final
2015-02-23 10:33:27	ga_ls7e_ard_3-0-0_103069_2015-02-23_final
2015-02-23 10:33:51	ga_ls7e_ard_3-0-0_103070_2015-02-23_final
2015-02-23 10:34:15	ga_ls7e_ard_3-0-0_103071_2015-02-23_final
2015-02-23 10:34:39	ga_ls7e_ard_3-0-0_103072_2015-02-23_final
2015-02-23 10:35:03	ga_ls7e_ard_3-0-0_103073_2015-02-23_final
2015-02-23 10:35:27	ga_ls7e_ard_3-0-0_103074_2015-02-23_final
2015-02-23 10:35:51	ga_ls7e_ard_3-0-0_103075_2015-02-23_final
2015-02-23 10:36:15	ga_ls7e_ard_3-0-0_103076_2015-02-23_final
2015-02-23 10:36:39	ga_ls7e_ard_3-0-0_103077_2015-02-23_final
2015-02-23 10:38:14	ga_ls7e_ard_3-0-0_103081_2015-02-23_final
2015-02-23 10:38:38	ga_ls7e_ard_3-0-0_103082_2015-02-23_final
2015-02-24 09:37:03	ga_ls7e_ard_3-1-0_094067_2015-02-24_final
2015-02-24 09:39:26	ga_ls7e_ard_3-0-0_094073_2015-02-24_final
2015-02-24 09:39:50	ga_ls7e_ard_3-0-0_094074_2015-02-24_final
2015-02-24 09:40:14	ga_ls7e_ard_3-0-0_094075_2015-02-24_final
2015-02-24 09:40:38	ga_ls7e_ard_3-0-0_094076_2015-02-24_final
2015-02-24 09:41:02	ga_ls7e_ard_3-0-0_094077_2015-02-24_final
2015-02-24 09:41:26	ga_ls7e_ard_3-0-0_094078_2015-02-24_final
2015-02-24 09:41:50	ga_ls7e_ard_3-0-0_094079_2015-02-24_final
2015-02-24 09:42:14	ga_ls7e_ard_3-0-0_094080_2015-02-24_final
2015-02-24 09:42:38	ga_ls7e_ard_3-0-0_094081_2015-02-24_final
2015-02-24 09:43:02	ga_ls7e_ard_3-0-0_094082_2015-02-24_final
2015-02-24 09:43:26	ga_ls7e_ard_3-0-0_094083_2015-02-24_final
2015-02-24 09:43:50	ga_ls7e_ard_3-0-0_094084_2015-02-24_final
2015-02-24 09:44:14	ga_ls7e_ard_3-0-0_094085_2015-02-24_final
2015-02-24 09:44:38	ga_ls7e_ard_3-0-0_094086_2015-02-24_final
2015-02-24 11:15:56	ga_ls7e_ard_3-0-0_110067_2015-02-24_final
2015-02-24 11:18:19	ga_ls7e_ard_3-0-0_110073_2015-02-24_final
2015-02-24 11:18:43	ga_ls7e_ard_3-0-0_110074_2015-02-24_final
2015-02-24 11:20:19	ga_ls7e_ard_3-0-0_110078_2015-02-24_final
2015-02-24 11:20:43	ga_ls7e_ard_3-0-0_110079_2015-02-24_final
2015-02-24 11:21:07	ga_ls7e_ard_3-0-0_110080_2015-02-24_final
2015-02-24 11:21:31	ga_ls7e_ard_3-0-0_110081_2015-02-24_final
2015-02-24 11:21:55	ga_ls7e_ard_3-0-0_110082_2015-02-24_final
2015-02-24 11:22:19	ga_ls7e_ard_3-1-0_110083_2015-02-24_final
2015-02-24 11:22:43	ga_ls7e_ard_3-0-0_110084_2015-02-24_final
2015-02-25 10:21:55	ga_ls7e_ard_3-0-0_101071_2015-02-25_final
2015-02-25 10:22:19	ga_ls7e_ard_3-0-0_101072_2015-02-25_final
2015-02-25 10:22:43	ga_ls7e_ard_3-0-0_101073_2015-02-25_final
2015-02-25 10:23:07	ga_ls7e_ard_3-0-0_101074_2015-02-25_final
2015-02-25 10:23:30	ga_ls7e_ard_3-1-0_101075_2015-02-25_final
2015-02-25 10:23:54	ga_ls7e_ard_3-0-0_101076_2015-02-25_final
2015-02-25 10:24:18	ga_ls7e_ard_3-0-0_101077_2015-02-25_final
2015-02-25 10:24:42	ga_ls7e_ard_3-0-0_101078_2015-02-25_final
2015-02-25 10:25:06	ga_ls7e_ard_3-0-0_101079_2015-02-25_final
2015-02-25 10:25:30	ga_ls7e_ard_3-0-0_101080_2015-02-25_final
2015-02-25 10:25:54	ga_ls7e_ard_3-0-0_101081_2015-02-25_final
2015-02-25 10:26:18	ga_ls7e_ard_3-0-0_101082_2015-02-25_final
2015-02-25 10:26:42	ga_ls7e_ard_3-0-0_101083_2015-02-25_final
2015-02-26 09:27:54	ga_ls7e_ard_3-0-0_092075_2015-02-25_final
2015-02-26 09:28:18	ga_ls7e_ard_3-0-0_092076_2015-02-25_final
2015-02-26 09:28:42	ga_ls7e_ard_3-0-0_092077_2015-02-25_final
2015-02-26 09:29:06	ga_ls7e_ard_3-0-0_092078_2015-02-25_final
2015-02-26 09:29:29	ga_ls7e_ard_3-0-0_092079_2015-02-25_final
2015-02-26 09:29:53	ga_ls7e_ard_3-1-0_092080_2015-02-25_final
2015-02-26 09:30:17	ga_ls7e_ard_3-0-0_092081_2015-02-26_final
2015-02-26 09:30:41	ga_ls7e_ard_3-0-0_092082_2015-02-26_final
2015-02-26 09:31:05	ga_ls7e_ard_3-0-0_092083_2015-02-26_final

Return to ga_ls7e_ard_3 across February 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

February

All days