Search ga_ls7e_ard_3 across January 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
2015-01-01 10:15:48	ga_ls7e_ard_3-0-0_100072_2015-01-01_final
2015-01-01 10:16:12	ga_ls7e_ard_3-0-0_100073_2015-01-01_final
2015-01-01 10:16:36	ga_ls7e_ard_3-0-0_100074_2015-01-01_final
2015-01-01 10:17:00	ga_ls7e_ard_3-0-0_100075_2015-01-01_final
2015-01-01 10:17:24	ga_ls7e_ard_3-0-0_100076_2015-01-01_final
2015-01-01 10:17:48	ga_ls7e_ard_3-0-0_100077_2015-01-01_final
2015-01-01 10:18:12	ga_ls7e_ard_3-0-0_100078_2015-01-01_final
2015-01-01 10:18:36	ga_ls7e_ard_3-0-0_100079_2015-01-01_final
2015-01-01 10:19:00	ga_ls7e_ard_3-0-0_100080_2015-01-01_final
2015-01-01 10:19:24	ga_ls7e_ard_3-1-0_100081_2015-01-01_final
2015-01-01 10:19:48	ga_ls7e_ard_3-0-0_100082_2015-01-01_final
2015-01-01 10:20:12	ga_ls7e_ard_3-0-0_100083_2015-01-01_final
2015-01-01 10:20:36	ga_ls7e_ard_3-0-0_100084_2015-01-01_final
2015-01-02 09:21:48	ga_ls7e_ard_3-0-0_091076_2015-01-01_final
2015-01-02 09:22:59	ga_ls7e_ard_3-0-0_091079_2015-01-01_final
2015-01-02 09:24:11	ga_ls7e_ard_3-0-0_091082_2015-01-01_final
2015-01-02 09:24:35	ga_ls7e_ard_3-0-0_091083_2015-01-01_final
2015-01-02 09:24:59	ga_ls7e_ard_3-0-0_091084_2015-01-01_final
2015-01-02 09:25:23	ga_ls7e_ard_3-0-0_091085_2015-01-01_final
2015-01-02 09:25:47	ga_ls7e_ard_3-1-0_091086_2015-01-01_final
2015-01-02 09:26:11	ga_ls7e_ard_3-0-0_091087_2015-01-01_final
2015-01-02 09:26:35	ga_ls7e_ard_3-0-0_091088_2015-01-01_final
2015-01-02 09:26:59	ga_ls7e_ard_3-0-0_091089_2015-01-01_final
2015-01-02 09:27:23	ga_ls7e_ard_3-0-0_091090_2015-01-01_final
2015-01-02 10:59:05	ga_ls7e_ard_3-0-0_107072_2015-01-02_final
2015-01-02 10:59:29	ga_ls7e_ard_3-0-0_107073_2015-01-02_final
2015-01-02 10:59:53	ga_ls7e_ard_3-0-0_107074_2015-01-02_final
2015-01-02 11:00:17	ga_ls7e_ard_3-0-0_107075_2015-01-02_final
2015-01-02 11:00:41	ga_ls7e_ard_3-0-0_107076_2015-01-02_final
2015-01-02 11:01:05	ga_ls7e_ard_3-0-0_107077_2015-01-02_final
2015-01-02 11:01:28	ga_ls7e_ard_3-0-0_107078_2015-01-02_final
2015-01-02 11:01:52	ga_ls7e_ard_3-0-0_107079_2015-01-02_final
2015-01-02 11:02:16	ga_ls7e_ard_3-0-0_107080_2015-01-02_final
2015-01-02 11:02:40	ga_ls7e_ard_3-0-0_107081_2015-01-02_final
2015-01-02 11:03:28	ga_ls7e_ard_3-0-0_107083_2015-01-02_final
2015-01-02 11:03:52	ga_ls7e_ard_3-0-0_107084_2015-01-02_final
2015-01-03 10:01:28	ga_ls7e_ard_3-0-0_098067_2015-01-03_final
2015-01-03 10:01:52	ga_ls7e_ard_3-0-0_098068_2015-01-03_final
2015-01-03 10:02:16	ga_ls7e_ard_3-0-0_098069_2015-01-03_final
2015-01-03 10:02:40	ga_ls7e_ard_3-0-0_098070_2015-01-03_final
2015-01-03 10:03:04	ga_ls7e_ard_3-0-0_098071_2015-01-03_final
2015-01-03 10:05:28	ga_ls7e_ard_3-0-0_098077_2015-01-03_final
2015-01-03 10:05:52	ga_ls7e_ard_3-0-0_098078_2015-01-03_final
2015-01-03 10:06:16	ga_ls7e_ard_3-0-0_098079_2015-01-03_final
2015-01-03 10:06:40	ga_ls7e_ard_3-0-0_098080_2015-01-03_final
2015-01-03 10:07:04	ga_ls7e_ard_3-0-0_098081_2015-01-03_final
2015-01-03 10:07:28	ga_ls7e_ard_3-0-0_098082_2015-01-03_final
2015-01-03 10:07:51	ga_ls7e_ard_3-0-0_098083_2015-01-03_final
2015-01-03 10:08:15	ga_ls7e_ard_3-0-0_098084_2015-01-03_final
2015-01-03 10:08:39	ga_ls7e_ard_3-0-0_098085_2015-01-03_final
2015-01-03 11:43:09	ga_ls7e_ard_3-0-0_114074_2015-01-03_final
2015-01-03 11:43:33	ga_ls7e_ard_3-0-0_114075_2015-01-03_final
2015-01-03 11:43:57	ga_ls7e_ard_3-0-0_114076_2015-01-03_final
2015-01-03 11:44:21	ga_ls7e_ard_3-0-0_114077_2015-01-03_final
2015-01-03 11:44:45	ga_ls7e_ard_3-0-0_114078_2015-01-03_final
2015-01-03 11:45:09	ga_ls7e_ard_3-0-0_114079_2015-01-03_final
2015-01-03 11:45:33	ga_ls7e_ard_3-0-0_114080_2015-01-03_final
2015-01-04 09:10:15	ga_ls7e_ard_3-0-0_089078_2015-01-03_final
2015-01-04 09:10:39	ga_ls7e_ard_3-0-0_089079_2015-01-03_final
2015-01-04 09:11:03	ga_ls7e_ard_3-0-0_089080_2015-01-03_final
2015-01-04 09:11:27	ga_ls7e_ard_3-1-0_089081_2015-01-03_final
2015-01-04 09:11:51	ga_ls7e_ard_3-0-0_089082_2015-01-03_final
2015-01-04 09:12:15	ga_ls7e_ard_3-0-0_089083_2015-01-03_final
2015-01-04 09:12:39	ga_ls7e_ard_3-0-0_089084_2015-01-03_final
2015-01-04 09:13:03	ga_ls7e_ard_3-0-0_089085_2015-01-03_final
2015-01-04 09:14:38	ga_ls7e_ard_3-0-0_089089_2015-01-03_final
2015-01-04 09:15:02	ga_ls7e_ard_3-0-0_089090_2015-01-03_final
2015-01-04 10:48:44	ga_ls7e_ard_3-0-0_105077_2015-01-04_final
2015-01-04 10:49:08	ga_ls7e_ard_3-0-0_105078_2015-01-04_final
2015-01-04 10:49:32	ga_ls7e_ard_3-0-0_105079_2015-01-04_final
2015-01-04 10:49:56	ga_ls7e_ard_3-1-0_105080_2015-01-04_final
2015-01-04 10:50:20	ga_ls7e_ard_3-0-0_105081_2015-01-04_final
2015-01-04 10:50:44	ga_ls7e_ard_3-0-0_105082_2015-01-04_final
2015-01-04 10:51:08	ga_ls7e_ard_3-1-0_105083_2015-01-04_final
2015-01-11 09:20:27	ga_ls7e_ard_3-0-0_090088_2015-01-10_final
2015-01-11 09:20:51	ga_ls7e_ard_3-0-0_090089_2015-01-10_final
2015-01-11 09:21:15	ga_ls7e_ard_3-0-0_090090_2015-01-10_final
2015-01-12 09:56:56	ga_ls7e_ard_3-0-0_097071_2015-01-12_final
2015-01-12 09:57:20	ga_ls7e_ard_3-0-0_097072_2015-01-12_final
2015-01-12 09:57:44	ga_ls7e_ard_3-0-0_097073_2015-01-12_final
2015-01-12 09:58:08	ga_ls7e_ard_3-0-0_097074_2015-01-12_final
2015-01-12 09:58:32	ga_ls7e_ard_3-0-0_097075_2015-01-12_final
2015-01-12 09:58:56	ga_ls7e_ard_3-1-0_097076_2015-01-12_final
2015-01-12 09:59:20	ga_ls7e_ard_3-0-0_097077_2015-01-12_final
2015-01-12 09:59:44	ga_ls7e_ard_3-0-0_097078_2015-01-12_final
2015-01-12 10:00:08	ga_ls7e_ard_3-0-0_097079_2015-01-12_final
2015-01-12 10:02:07	ga_ls7e_ard_3-0-0_097084_2015-01-12_final
2015-01-12 10:02:31	ga_ls7e_ard_3-0-0_097085_2015-01-12_final
2015-01-15 10:26:38	ga_ls7e_ard_3-0-0_102068_2015-01-15_final
2015-01-15 10:27:02	ga_ls7e_ard_3-0-0_102069_2015-01-15_final
2015-01-15 10:27:26	ga_ls7e_ard_3-0-0_102070_2015-01-15_final
2015-01-15 10:27:50	ga_ls7e_ard_3-0-0_102071_2015-01-15_final
2015-01-15 10:28:14	ga_ls7e_ard_3-0-0_102072_2015-01-15_final
2015-01-15 10:28:38	ga_ls7e_ard_3-0-0_102073_2015-01-15_final
2015-01-15 10:29:26	ga_ls7e_ard_3-0-0_102075_2015-01-15_final
2015-01-15 10:29:50	ga_ls7e_ard_3-0-0_102076_2015-01-15_final
2015-01-15 10:30:14	ga_ls7e_ard_3-0-0_102077_2015-01-15_final
2015-01-15 10:30:38	ga_ls7e_ard_3-0-0_102078_2015-01-15_final
2015-01-15 10:31:01	ga_ls7e_ard_3-0-0_102079_2015-01-15_final
2015-01-15 10:31:25	ga_ls7e_ard_3-0-0_102080_2015-01-15_final

Return to ga_ls7e_ard_3 across January 2015 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

2015

January

All days