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
2015-07-08 09:50:04	ga_ls8c_ard_3-0-0_096067_2015-07-08_final
2015-07-08 09:50:28	ga_ls8c_ard_3-0-0_096068_2015-07-08_final
2015-07-08 09:50:52	ga_ls8c_ard_3-0-0_096069_2015-07-08_final
2015-07-08 09:51:16	ga_ls8c_ard_3-0-0_096070_2015-07-08_final
2015-07-10 09:37:44	ga_ls8c_ard_3-0-0_094067_2015-07-10_final
2015-07-10 09:39:20	ga_ls8c_ard_3-0-0_094071_2015-07-10_final
2015-07-10 09:39:43	ga_ls8c_ard_3-0-0_094072_2015-07-10_final
2015-07-10 09:40:07	ga_ls8c_ard_3-0-0_094073_2015-07-10_final
2015-07-10 09:40:31	ga_ls8c_ard_3-0-0_094074_2015-07-10_final
2015-07-10 09:40:55	ga_ls8c_ard_3-0-0_094075_2015-07-10_final
2015-07-10 09:41:19	ga_ls8c_ard_3-0-0_094076_2015-07-10_final
2015-07-10 09:41:43	ga_ls8c_ard_3-0-0_094077_2015-07-10_final
2015-07-10 09:42:07	ga_ls8c_ard_3-0-0_094078_2015-07-10_final
2015-07-10 09:42:31	ga_ls8c_ard_3-0-0_094079_2015-07-10_final
2015-07-10 09:42:55	ga_ls8c_ard_3-0-0_094080_2015-07-10_final
2015-07-10 09:43:19	ga_ls8c_ard_3-0-0_094081_2015-07-10_final
2015-07-10 09:43:43	ga_ls8c_ard_3-0-0_094082_2015-07-10_final
2015-07-10 09:44:07	ga_ls8c_ard_3-0-0_094083_2015-07-10_final
2015-07-10 09:44:31	ga_ls8c_ard_3-0-0_094084_2015-07-10_final
2015-07-10 09:44:55	ga_ls8c_ard_3-0-0_094085_2015-07-10_final
2015-07-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2015-07-10_final
2015-07-10 09:45:43	ga_ls8c_ard_3-0-0_094087_2015-07-10_final
2015-07-10 09:46:07	ga_ls8c_ard_3-0-0_094088_2015-07-10_final
2015-07-10 11:16:37	ga_ls8c_ard_3-0-0_110067_2015-07-10_final
2015-07-10 11:17:01	ga_ls8c_ard_3-0-0_110068_2015-07-10_final
2015-07-10 11:17:25	ga_ls8c_ard_3-0-0_110069_2015-07-10_final
2015-07-10 11:17:49	ga_ls8c_ard_3-0-0_110070_2015-07-10_final
2015-07-10 11:18:13	ga_ls8c_ard_3-0-0_110071_2015-07-10_final
2015-07-10 11:18:37	ga_ls8c_ard_3-0-0_110072_2015-07-10_final
2015-07-10 11:19:00	ga_ls8c_ard_3-0-0_110073_2015-07-10_final
2015-07-10 11:19:24	ga_ls8c_ard_3-0-0_110074_2015-07-10_final
2015-07-10 11:19:48	ga_ls8c_ard_3-0-0_110075_2015-07-10_final
2015-07-10 11:20:12	ga_ls8c_ard_3-0-0_110076_2015-07-10_final
2015-07-10 11:20:36	ga_ls8c_ard_3-0-0_110077_2015-07-10_final
2015-07-10 11:21:00	ga_ls8c_ard_3-0-0_110078_2015-07-10_final
2015-07-10 11:21:24	ga_ls8c_ard_3-0-0_110079_2015-07-10_final
2015-07-10 11:21:48	ga_ls8c_ard_3-0-0_110080_2015-07-10_final
2015-07-10 11:22:12	ga_ls8c_ard_3-0-0_110081_2015-07-10_final
2015-07-10 11:22:36	ga_ls8c_ard_3-0-0_110082_2015-07-10_final
2015-07-10 11:23:00	ga_ls8c_ard_3-0-0_110083_2015-07-10_final
2015-07-10 11:23:24	ga_ls8c_ard_3-0-0_110084_2015-07-10_final
2015-07-10 11:23:48	ga_ls8c_ard_3-0-0_110085_2015-07-10_final
2015-07-11 10:21:00	ga_ls8c_ard_3-0-0_101067_2015-07-11_final
2015-07-11 10:21:24	ga_ls8c_ard_3-0-0_101068_2015-07-11_final
2015-07-11 10:21:48	ga_ls8c_ard_3-0-0_101069_2015-07-11_final
2015-07-11 10:22:12	ga_ls8c_ard_3-0-0_101070_2015-07-11_final
2015-07-11 10:22:36	ga_ls8c_ard_3-0-0_101071_2015-07-11_final
2015-07-11 10:23:00	ga_ls8c_ard_3-1-0_101072_2015-07-11_final
2015-07-11 10:23:24	ga_ls8c_ard_3-0-0_101073_2015-07-11_final
2015-07-11 10:23:48	ga_ls8c_ard_3-0-0_101074_2015-07-11_final
2015-07-11 10:24:12	ga_ls8c_ard_3-0-0_101075_2015-07-11_final
2015-07-11 10:24:36	ga_ls8c_ard_3-0-0_101076_2015-07-11_final
2015-07-11 10:24:59	ga_ls8c_ard_3-0-0_101077_2015-07-11_final
2015-07-11 10:25:23	ga_ls8c_ard_3-0-0_101078_2015-07-11_final
2015-07-11 10:25:47	ga_ls8c_ard_3-0-0_101079_2015-07-11_final
2015-07-11 10:26:11	ga_ls8c_ard_3-0-0_101080_2015-07-11_final
2015-07-11 10:26:35	ga_ls8c_ard_3-0-0_101081_2015-07-11_final
2015-07-11 10:26:59	ga_ls8c_ard_3-0-0_101082_2015-07-11_final
2015-07-11 10:27:23	ga_ls8c_ard_3-0-0_101083_2015-07-11_final
2015-07-11 10:27:47	ga_ls8c_ard_3-0-0_101084_2015-07-11_final
2015-07-12 09:25:23	ga_ls8c_ard_3-0-0_092067_2015-07-11_final
2015-07-12 09:25:47	ga_ls8c_ard_3-0-0_092068_2015-07-11_final
2015-07-12 09:26:59	ga_ls8c_ard_3-0-0_092071_2015-07-11_final
2015-07-12 09:27:23	ga_ls8c_ard_3-0-0_092072_2015-07-11_final
2015-07-12 09:27:47	ga_ls8c_ard_3-0-0_092073_2015-07-11_final
2015-07-12 09:28:11	ga_ls8c_ard_3-0-0_092074_2015-07-11_final
2015-07-12 09:28:35	ga_ls8c_ard_3-0-0_092075_2015-07-11_final
2015-07-12 09:28:59	ga_ls8c_ard_3-0-0_092076_2015-07-11_final
2015-07-12 09:29:23	ga_ls8c_ard_3-0-0_092077_2015-07-11_final
2015-07-12 09:29:47	ga_ls8c_ard_3-0-0_092078_2015-07-11_final
2015-07-12 09:30:11	ga_ls8c_ard_3-0-0_092079_2015-07-12_final
2015-07-12 09:30:35	ga_ls8c_ard_3-0-0_092080_2015-07-12_final
2015-07-12 09:30:59	ga_ls8c_ard_3-0-0_092081_2015-07-12_final
2015-07-12 09:31:22	ga_ls8c_ard_3-0-0_092082_2015-07-12_final
2015-07-12 09:31:46	ga_ls8c_ard_3-0-0_092083_2015-07-12_final
2015-07-12 09:32:10	ga_ls8c_ard_3-0-0_092084_2015-07-12_final
2015-07-12 09:32:34	ga_ls8c_ard_3-0-0_092085_2015-07-12_final
2015-07-12 09:32:58	ga_ls8c_ard_3-0-0_092086_2015-07-12_final
2015-07-12 09:33:22	ga_ls8c_ard_3-0-0_092087_2015-07-12_final
2015-07-12 09:33:46	ga_ls8c_ard_3-0-0_092088_2015-07-12_final
2015-07-12 09:34:10	ga_ls8c_ard_3-0-0_092089_2015-07-12_final
2015-07-12 09:34:34	ga_ls8c_ard_3-0-0_092090_2015-07-12_final
2015-07-12 11:04:16	ga_ls8c_ard_3-0-0_108067_2015-07-12_final
2015-07-12 11:04:40	ga_ls8c_ard_3-0-0_108068_2015-07-12_final
2015-07-12 11:05:04	ga_ls8c_ard_3-0-0_108069_2015-07-12_final
2015-07-12 11:05:28	ga_ls8c_ard_3-0-0_108070_2015-07-12_final
2015-07-12 11:05:52	ga_ls8c_ard_3-0-0_108071_2015-07-12_final
2015-07-12 11:06:16	ga_ls8c_ard_3-0-0_108072_2015-07-12_final
2015-07-12 11:06:40	ga_ls8c_ard_3-0-0_108073_2015-07-12_final
2015-07-12 11:07:04	ga_ls8c_ard_3-0-0_108074_2015-07-12_final
2015-07-12 11:07:28	ga_ls8c_ard_3-0-0_108075_2015-07-12_final
2015-07-12 11:07:52	ga_ls8c_ard_3-0-0_108076_2015-07-12_final
2015-07-12 11:08:16	ga_ls8c_ard_3-0-0_108077_2015-07-12_final
2015-07-12 11:08:40	ga_ls8c_ard_3-0-0_108078_2015-07-12_final
2015-07-12 11:09:04	ga_ls8c_ard_3-0-0_108079_2015-07-12_final
2015-07-12 11:09:28	ga_ls8c_ard_3-0-0_108080_2015-07-12_final
2015-07-12 11:09:52	ga_ls8c_ard_3-0-0_108081_2015-07-12_final
2015-07-12 11:10:16	ga_ls8c_ard_3-0-0_108082_2015-07-12_final
2015-07-12 11:10:39	ga_ls8c_ard_3-0-0_108083_2015-07-12_final
2015-07-12 11:11:03	ga_ls8c_ard_3-0-0_108084_2015-07-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2015

July

All days