Search ga_ls7e_ard_3 across March 2018

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
2018-03-19 10:35:24	ga_ls7e_ard_3-0-0_103068_2018-03-19_final
2018-03-19 10:35:48	ga_ls7e_ard_3-0-0_103069_2018-03-19_final
2018-03-19 10:36:12	ga_ls7e_ard_3-0-0_103070_2018-03-19_final
2018-03-19 10:36:36	ga_ls7e_ard_3-0-0_103071_2018-03-19_final
2018-03-19 10:37:00	ga_ls7e_ard_3-0-0_103072_2018-03-19_final
2018-03-19 10:37:24	ga_ls7e_ard_3-0-0_103073_2018-03-19_final
2018-03-19 10:37:48	ga_ls7e_ard_3-0-0_103074_2018-03-19_final
2018-03-19 10:38:12	ga_ls7e_ard_3-0-0_103075_2018-03-19_final
2018-03-19 10:38:36	ga_ls7e_ard_3-0-0_103076_2018-03-19_final
2018-03-19 10:39:00	ga_ls7e_ard_3-0-0_103077_2018-03-19_final
2018-03-19 10:39:24	ga_ls7e_ard_3-0-0_103078_2018-03-19_final
2018-03-19 10:39:47	ga_ls7e_ard_3-0-0_103079_2018-03-19_final
2018-03-19 10:40:11	ga_ls7e_ard_3-0-0_103080_2018-03-19_final
2018-03-19 10:40:35	ga_ls7e_ard_3-0-0_103081_2018-03-19_final
2018-03-20 09:39:22	ga_ls7e_ard_3-1-0_094067_2018-03-20_final
2018-03-20 09:41:46	ga_ls7e_ard_3-0-0_094073_2018-03-20_final
2018-03-20 09:42:10	ga_ls7e_ard_3-0-0_094074_2018-03-20_final
2018-03-20 09:42:34	ga_ls7e_ard_3-0-0_094075_2018-03-20_final
2018-03-20 09:42:58	ga_ls7e_ard_3-0-0_094076_2018-03-20_final
2018-03-20 09:43:21	ga_ls7e_ard_3-0-0_094077_2018-03-20_final
2018-03-20 09:43:45	ga_ls7e_ard_3-0-0_094078_2018-03-20_final
2018-03-20 09:44:09	ga_ls7e_ard_3-0-0_094079_2018-03-20_final
2018-03-20 09:44:33	ga_ls7e_ard_3-0-0_094080_2018-03-20_final
2018-03-20 09:44:57	ga_ls7e_ard_3-0-0_094081_2018-03-20_final
2018-03-20 09:45:21	ga_ls7e_ard_3-0-0_094082_2018-03-20_final
2018-03-20 09:45:45	ga_ls7e_ard_3-1-0_094083_2018-03-20_final
2018-03-20 09:46:09	ga_ls7e_ard_3-0-0_094084_2018-03-20_final
2018-03-20 09:46:33	ga_ls7e_ard_3-0-0_094085_2018-03-20_final
2018-03-20 09:46:57	ga_ls7e_ard_3-0-0_094086_2018-03-20_final
2018-03-20 11:18:15	ga_ls7e_ard_3-0-0_110067_2018-03-20_final
2018-03-20 11:19:27	ga_ls7e_ard_3-0-0_110070_2018-03-20_final
2018-03-20 11:19:51	ga_ls7e_ard_3-0-0_110071_2018-03-20_final
2018-03-20 11:20:15	ga_ls7e_ard_3-1-0_110072_2018-03-20_final
2018-03-20 11:20:39	ga_ls7e_ard_3-0-0_110073_2018-03-20_final
2018-03-20 11:21:03	ga_ls7e_ard_3-0-0_110074_2018-03-20_final
2018-03-20 11:21:27	ga_ls7e_ard_3-0-0_110075_2018-03-20_final
2018-03-20 11:21:51	ga_ls7e_ard_3-0-0_110076_2018-03-20_final
2018-03-20 11:22:14	ga_ls7e_ard_3-0-0_110077_2018-03-20_final
2018-03-20 11:22:38	ga_ls7e_ard_3-0-0_110078_2018-03-20_final
2018-03-20 11:23:02	ga_ls7e_ard_3-0-0_110079_2018-03-20_final
2018-03-20 11:23:26	ga_ls7e_ard_3-0-0_110080_2018-03-20_final
2018-03-20 11:23:50	ga_ls7e_ard_3-0-0_110081_2018-03-20_final
2018-03-20 11:24:14	ga_ls7e_ard_3-0-0_110082_2018-03-20_final
2018-03-20 11:24:38	ga_ls7e_ard_3-0-0_110083_2018-03-20_final
2018-03-20 11:25:02	ga_ls7e_ard_3-0-0_110084_2018-03-20_final
2018-03-21 10:24:13	ga_ls7e_ard_3-0-0_101071_2018-03-21_final
2018-03-21 10:24:37	ga_ls7e_ard_3-0-0_101072_2018-03-21_final
2018-03-21 10:25:01	ga_ls7e_ard_3-0-0_101073_2018-03-21_final
2018-03-21 10:25:25	ga_ls7e_ard_3-0-0_101074_2018-03-21_final
2018-03-21 10:25:48	ga_ls7e_ard_3-1-0_101075_2018-03-21_final
2018-03-21 10:26:12	ga_ls7e_ard_3-0-0_101076_2018-03-21_final
2018-03-21 10:26:36	ga_ls7e_ard_3-0-0_101077_2018-03-21_final
2018-03-21 10:27:00	ga_ls7e_ard_3-1-0_101078_2018-03-21_final
2018-03-21 10:27:24	ga_ls7e_ard_3-0-0_101079_2018-03-21_final
2018-03-21 10:27:48	ga_ls7e_ard_3-0-0_101080_2018-03-21_final
2018-03-21 10:28:12	ga_ls7e_ard_3-0-0_101081_2018-03-21_final
2018-03-21 10:28:36	ga_ls7e_ard_3-0-0_101082_2018-03-21_final
2018-03-21 10:29:00	ga_ls7e_ard_3-0-0_101083_2018-03-21_final
2018-03-22 09:31:46	ga_ls7e_ard_3-0-0_092079_2018-03-22_final
2018-03-22 09:32:10	ga_ls7e_ard_3-0-0_092080_2018-03-22_final
2018-03-22 09:32:34	ga_ls7e_ard_3-0-0_092081_2018-03-22_final
2018-03-22 09:32:58	ga_ls7e_ard_3-0-0_092082_2018-03-22_final
2018-03-22 09:33:22	ga_ls7e_ard_3-0-0_092083_2018-03-22_final
2018-03-22 09:33:46	ga_ls7e_ard_3-0-0_092084_2018-03-22_final
2018-03-22 09:34:10	ga_ls7e_ard_3-0-0_092085_2018-03-22_final
2018-03-22 09:34:34	ga_ls7e_ard_3-0-0_092086_2018-03-22_final
2018-03-22 09:34:58	ga_ls7e_ard_3-0-0_092087_2018-03-22_final
2018-03-22 09:35:22	ga_ls7e_ard_3-0-0_092088_2018-03-22_final
2018-03-22 09:35:46	ga_ls7e_ard_3-0-0_092089_2018-03-22_final
2018-03-22 11:06:40	ga_ls7e_ard_3-0-0_108069_2018-03-22_final
2018-03-22 11:07:04	ga_ls7e_ard_3-0-0_108070_2018-03-22_final
2018-03-22 11:07:28	ga_ls7e_ard_3-0-0_108071_2018-03-22_final
2018-03-22 11:07:52	ga_ls7e_ard_3-0-0_108072_2018-03-22_final
2018-03-22 11:08:15	ga_ls7e_ard_3-0-0_108073_2018-03-22_final
2018-03-22 11:08:39	ga_ls7e_ard_3-0-0_108074_2018-03-22_final
2018-03-22 11:09:03	ga_ls7e_ard_3-1-0_108075_2018-03-22_final
2018-03-22 11:09:27	ga_ls7e_ard_3-0-0_108076_2018-03-22_final
2018-03-22 11:09:51	ga_ls7e_ard_3-0-0_108077_2018-03-22_final
2018-03-22 11:10:15	ga_ls7e_ard_3-0-0_108078_2018-03-22_final
2018-03-22 11:10:39	ga_ls7e_ard_3-0-0_108079_2018-03-22_final
2018-03-22 11:11:03	ga_ls7e_ard_3-0-0_108080_2018-03-22_final
2018-03-22 11:11:27	ga_ls7e_ard_3-0-0_108081_2018-03-22_final
2018-03-22 11:11:51	ga_ls7e_ard_3-0-0_108082_2018-03-22_final
2018-03-22 11:12:15	ga_ls7e_ard_3-0-0_108083_2018-03-22_final
2018-03-22 11:12:39	ga_ls7e_ard_3-0-0_108084_2018-03-22_final
2018-03-24 09:18:35	ga_ls7e_ard_3-0-0_090077_2018-03-23_final
2018-03-24 09:18:59	ga_ls7e_ard_3-0-0_090078_2018-03-23_final
2018-03-24 09:19:23	ga_ls7e_ard_3-0-0_090079_2018-03-23_final
2018-03-24 09:19:47	ga_ls7e_ard_3-0-0_090080_2018-03-23_final
2018-03-24 09:20:11	ga_ls7e_ard_3-0-0_090081_2018-03-23_final
2018-03-24 09:20:35	ga_ls7e_ard_3-1-0_090082_2018-03-23_final
2018-03-24 09:20:59	ga_ls7e_ard_3-0-0_090083_2018-03-23_final
2018-03-24 09:21:23	ga_ls7e_ard_3-0-0_090084_2018-03-23_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2018-03-24 09:22:10	ga_ls7e_ard_3-0-0_090086_2018-03-23_final
2018-03-24 09:23:22	ga_ls7e_ard_3-0-0_090089_2018-03-23_final
2018-03-25 10:01:02	ga_ls7e_ard_3-0-0_097075_2018-03-25_final
2018-03-25 10:01:26	ga_ls7e_ard_3-1-0_097076_2018-03-25_final
2018-03-25 10:01:50	ga_ls7e_ard_3-0-0_097077_2018-03-25_final
2018-03-25 10:02:14	ga_ls7e_ard_3-0-0_097078_2018-03-25_final

Return to ga_ls7e_ard_3 across March 2018 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

2018

March

All days