Search ga_ls8c_ard_3 across July 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
2015-07-01 09:43:48	ga_ls8c_ard_3-0-0_095067_2015-07-01_final
2015-07-01 09:44:59	ga_ls8c_ard_3-0-0_095070_2015-07-01_final
2015-07-01 09:45:23	ga_ls8c_ard_3-0-0_095071_2015-07-01_final
2015-07-01 09:45:47	ga_ls8c_ard_3-0-0_095072_2015-07-01_final
2015-07-01 09:46:11	ga_ls8c_ard_3-0-0_095073_2015-07-01_final
2015-07-01 09:46:35	ga_ls8c_ard_3-0-0_095074_2015-07-01_final
2015-07-01 09:46:59	ga_ls8c_ard_3-0-0_095075_2015-07-01_final
2015-07-01 09:47:23	ga_ls8c_ard_3-0-0_095076_2015-07-01_final
2015-07-01 09:47:47	ga_ls8c_ard_3-0-0_095077_2015-07-01_final
2015-07-01 09:48:11	ga_ls8c_ard_3-0-0_095078_2015-07-01_final
2015-07-01 09:48:35	ga_ls8c_ard_3-0-0_095079_2015-07-01_final
2015-07-01 09:48:59	ga_ls8c_ard_3-0-0_095080_2015-07-01_final
2015-07-01 09:49:23	ga_ls8c_ard_3-0-0_095081_2015-07-01_final
2015-07-01 09:49:47	ga_ls8c_ard_3-0-0_095082_2015-07-01_final
2015-07-01 09:50:11	ga_ls8c_ard_3-0-0_095083_2015-07-01_final
2015-07-01 09:50:35	ga_ls8c_ard_3-0-0_095084_2015-07-01_final
2015-07-01 09:50:59	ga_ls8c_ard_3-0-0_095085_2015-07-01_final
2015-07-01 09:51:23	ga_ls8c_ard_3-0-0_095086_2015-07-01_final
2015-07-01 09:51:47	ga_ls8c_ard_3-0-0_095087_2015-07-01_final
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-01 11:22:41	ga_ls8c_ard_3-0-0_111067_2015-07-01_final
2015-07-01 11:23:05	ga_ls8c_ard_3-0-0_111068_2015-07-01_final
2015-07-01 11:23:29	ga_ls8c_ard_3-0-0_111069_2015-07-01_final
2015-07-01 11:23:53	ga_ls8c_ard_3-0-0_111070_2015-07-01_final
2015-07-01 11:24:17	ga_ls8c_ard_3-0-0_111071_2015-07-01_final
2015-07-01 11:24:40	ga_ls8c_ard_3-0-0_111072_2015-07-01_final
2015-07-01 11:25:04	ga_ls8c_ard_3-0-0_111073_2015-07-01_final
2015-07-01 11:25:28	ga_ls8c_ard_3-0-0_111074_2015-07-01_final
2015-07-01 11:25:52	ga_ls8c_ard_3-0-0_111075_2015-07-01_final
2015-07-01 11:26:16	ga_ls8c_ard_3-0-0_111076_2015-07-01_final
2015-07-01 11:26:40	ga_ls8c_ard_3-0-0_111077_2015-07-01_final
2015-07-01 11:27:04	ga_ls8c_ard_3-0-0_111078_2015-07-01_final
2015-07-01 11:27:28	ga_ls8c_ard_3-0-0_111079_2015-07-01_final
2015-07-01 11:27:52	ga_ls8c_ard_3-0-0_111080_2015-07-01_final
2015-07-01 11:28:16	ga_ls8c_ard_3-0-0_111081_2015-07-01_final
2015-07-01 11:28:40	ga_ls8c_ard_3-0-0_111082_2015-07-01_final
2015-07-01 11:29:04	ga_ls8c_ard_3-0-0_111083_2015-07-01_final
2015-07-01 11:29:28	ga_ls8c_ard_3-0-0_111084_2015-07-01_final
2015-07-01 11:29:52	ga_ls8c_ard_3-0-0_111085_2015-07-01_final
2015-07-02 10:27:04	ga_ls8c_ard_3-0-0_102067_2015-07-02_final
2015-07-02 10:27:28	ga_ls8c_ard_3-0-0_102068_2015-07-02_final
2015-07-02 10:27:52	ga_ls8c_ard_3-0-0_102069_2015-07-02_final
2015-07-02 10:28:16	ga_ls8c_ard_3-0-0_102070_2015-07-02_final
2015-07-02 10:28:40	ga_ls8c_ard_3-0-0_102071_2015-07-02_final
2015-07-02 10:29:04	ga_ls8c_ard_3-0-0_102072_2015-07-02_final
2015-07-02 10:29:28	ga_ls8c_ard_3-0-0_102073_2015-07-02_final
2015-07-02 10:29:52	ga_ls8c_ard_3-0-0_102074_2015-07-02_final
2015-07-02 10:30:16	ga_ls8c_ard_3-0-0_102075_2015-07-02_final
2015-07-02 10:30:40	ga_ls8c_ard_3-0-0_102076_2015-07-02_final
2015-07-02 10:31:04	ga_ls8c_ard_3-0-0_102077_2015-07-02_final
2015-07-02 10:31:28	ga_ls8c_ard_3-0-0_102078_2015-07-02_final
2015-07-02 10:31:52	ga_ls8c_ard_3-0-0_102079_2015-07-02_final
2015-07-02 10:32:16	ga_ls8c_ard_3-0-0_102080_2015-07-02_final
2015-07-02 10:32:39	ga_ls8c_ard_3-0-0_102081_2015-07-02_final
2015-07-02 10:33:03	ga_ls8c_ard_3-0-0_102082_2015-07-02_final
2015-07-02 10:33:27	ga_ls8c_ard_3-0-0_102083_2015-07-02_final
2015-07-03 09:31:28	ga_ls8c_ard_3-0-0_093067_2015-07-03_final
2015-07-03 09:31:52	ga_ls8c_ard_3-0-0_093068_2015-07-03_final
2015-07-13 10:08:40	ga_ls8c_ard_3-0-0_099067_2015-07-13_final
2015-07-13 10:09:04	ga_ls8c_ard_3-0-0_099068_2015-07-13_final
2015-07-13 10:09:27	ga_ls8c_ard_3-0-0_099069_2015-07-13_final
2015-07-13 10:09:51	ga_ls8c_ard_3-0-0_099070_2015-07-13_final
2015-07-13 10:10:15	ga_ls8c_ard_3-0-0_099071_2015-07-13_final
2015-07-14 09:15:50	ga_ls8c_ard_3-0-0_090074_2015-07-13_final
2015-07-14 09:16:14	ga_ls8c_ard_3-0-0_090075_2015-07-13_final
2015-07-14 09:16:38	ga_ls8c_ard_3-0-0_090076_2015-07-13_final
2015-07-14 09:17:02	ga_ls8c_ard_3-0-0_090077_2015-07-13_final
2015-07-14 09:17:26	ga_ls8c_ard_3-0-0_090078_2015-07-13_final
2015-07-14 09:17:50	ga_ls8c_ard_3-0-0_090079_2015-07-13_final
2015-07-14 09:18:14	ga_ls8c_ard_3-0-0_090080_2015-07-13_final
2015-07-14 09:18:38	ga_ls8c_ard_3-0-0_090081_2015-07-13_final
2015-07-14 09:19:02	ga_ls8c_ard_3-0-0_090082_2015-07-13_final
2015-07-14 09:19:26	ga_ls8c_ard_3-0-0_090083_2015-07-13_final
2015-07-14 09:19:50	ga_ls8c_ard_3-0-0_090084_2015-07-13_final
2015-07-14 09:20:14	ga_ls8c_ard_3-0-0_090085_2015-07-13_final
2015-07-14 09:20:38	ga_ls8c_ard_3-0-0_090086_2015-07-13_final
2015-07-14 09:21:02	ga_ls8c_ard_3-0-0_090087_2015-07-13_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-07-14 09:21:50	ga_ls8c_ard_3-0-0_090089_2015-07-13_final
2015-07-14 09:22:14	ga_ls8c_ard_3-0-0_090090_2015-07-13_final
2015-07-14 09:22:37	ga_ls8c_ard_3-0-0_090091_2015-07-13_final
2015-07-15 09:56:19	ga_ls8c_ard_3-0-0_097067_2015-07-15_final
2015-07-15 09:56:43	ga_ls8c_ard_3-0-0_097068_2015-07-15_final
2015-07-15 09:57:07	ga_ls8c_ard_3-0-0_097069_2015-07-15_final
2015-07-15 09:57:31	ga_ls8c_ard_3-0-0_097070_2015-07-15_final
2015-07-15 09:57:55	ga_ls8c_ard_3-0-0_097071_2015-07-15_final
2015-07-15 09:58:19	ga_ls8c_ard_3-0-0_097072_2015-07-15_final
2015-07-15 09:58:42	ga_ls8c_ard_3-0-0_097073_2015-07-15_final
2015-07-15 09:59:06	ga_ls8c_ard_3-0-0_097074_2015-07-15_final
2015-07-15 09:59:30	ga_ls8c_ard_3-0-0_097075_2015-07-15_final
2015-07-15 09:59:54	ga_ls8c_ard_3-0-0_097076_2015-07-15_final
2015-07-15 10:00:18	ga_ls8c_ard_3-0-0_097077_2015-07-15_final
2015-07-15 10:00:42	ga_ls8c_ard_3-0-0_097078_2015-07-15_final
2015-07-15 10:01:06	ga_ls8c_ard_3-0-0_097079_2015-07-15_final
2015-07-15 10:01:30	ga_ls8c_ard_3-0-0_097080_2015-07-15_final
2015-07-15 10:01:54	ga_ls8c_ard_3-0-0_097081_2015-07-15_final
2015-07-15 10:02:18	ga_ls8c_ard_3-0-0_097082_2015-07-15_final
2015-07-15 10:02:42	ga_ls8c_ard_3-0-0_097083_2015-07-15_final
2015-07-15 10:03:06	ga_ls8c_ard_3-0-0_097084_2015-07-15_final
2015-07-15 10:03:30	ga_ls8c_ard_3-0-0_097085_2015-07-15_final

Return to ga_ls8c_ard_3 across July 2015 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2015

July

All days