Search ga_ls7e_ard_3 whole collection

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

76 results

Time (local)	Label
2020-09-10 09:01:06	ga_ls7e_ard_3-1-0_093074_2020-09-09_final
2020-09-10 09:01:30	ga_ls7e_ard_3-1-0_093075_2020-09-09_final
2020-09-10 09:01:53	ga_ls7e_ard_3-1-0_093076_2020-09-09_final
2020-09-10 09:02:17	ga_ls7e_ard_3-1-0_093077_2020-09-09_final
2020-09-10 09:02:41	ga_ls7e_ard_3-1-0_093078_2020-09-09_final
2020-09-10 09:03:05	ga_ls7e_ard_3-1-0_093079_2020-09-09_final
2020-09-10 09:03:29	ga_ls7e_ard_3-1-0_093080_2020-09-09_final
2020-09-10 09:04:17	ga_ls7e_ard_3-1-0_093082_2020-09-09_final
2020-09-10 09:05:05	ga_ls7e_ard_3-1-0_093084_2020-09-09_final
2020-09-10 09:05:29	ga_ls7e_ard_3-1-0_093085_2020-09-09_final
2020-09-10 09:05:53	ga_ls7e_ard_3-1-0_093086_2020-09-09_final
2020-09-10 09:06:17	ga_ls7e_ard_3-1-0_093087_2020-09-09_final
2020-09-10 09:06:41	ga_ls7e_ard_3-1-0_093088_2020-09-09_final
2020-09-10 10:38:23	ga_ls7e_ard_3-1-0_109070_2020-09-10_final
2020-09-10 10:38:47	ga_ls7e_ard_3-1-0_109071_2020-09-10_final
2020-09-10 10:39:10	ga_ls7e_ard_3-1-0_109072_2020-09-10_final
2020-09-10 10:39:34	ga_ls7e_ard_3-1-0_109073_2020-09-10_final
2020-09-10 10:39:58	ga_ls7e_ard_3-1-0_109074_2020-09-10_final
2020-09-10 10:40:22	ga_ls7e_ard_3-1-0_109075_2020-09-10_final
2020-09-10 10:40:46	ga_ls7e_ard_3-1-0_109076_2020-09-10_final
2020-09-10 10:41:10	ga_ls7e_ard_3-1-0_109077_2020-09-10_final
2020-09-10 10:41:34	ga_ls7e_ard_3-1-0_109078_2020-09-10_final
2020-09-10 10:41:58	ga_ls7e_ard_3-1-0_109079_2020-09-10_final
2020-09-10 10:42:22	ga_ls7e_ard_3-1-0_109080_2020-09-10_final
2020-09-11 09:43:05	ga_ls7e_ard_3-1-0_100071_2020-09-11_final
2020-09-11 09:43:29	ga_ls7e_ard_3-1-0_100072_2020-09-11_final
2020-09-11 09:43:53	ga_ls7e_ard_3-1-0_100073_2020-09-11_final
2020-09-11 09:44:17	ga_ls7e_ard_3-1-0_100074_2020-09-11_final
2020-09-11 09:44:41	ga_ls7e_ard_3-1-0_100075_2020-09-11_final
2020-09-11 09:45:05	ga_ls7e_ard_3-1-0_100076_2020-09-11_final
2020-09-11 09:45:29	ga_ls7e_ard_3-1-0_100077_2020-09-11_final
2020-09-11 09:45:53	ga_ls7e_ard_3-1-0_100078_2020-09-11_final
2020-09-11 09:46:17	ga_ls7e_ard_3-1-0_100079_2020-09-11_final
2020-09-11 09:47:29	ga_ls7e_ard_3-1-0_100082_2020-09-11_final
2020-09-11 09:48:17	ga_ls7e_ard_3-1-0_100084_2020-09-11_final
2020-09-12 08:49:48	ga_ls7e_ard_3-1-0_091077_2020-09-11_final
2020-09-12 08:51:00	ga_ls7e_ard_3-1-0_091080_2020-09-11_final
2020-09-12 08:51:24	ga_ls7e_ard_3-1-0_091081_2020-09-11_final
2020-09-12 08:51:48	ga_ls7e_ard_3-1-0_091082_2020-09-11_final
2020-09-12 08:52:12	ga_ls7e_ard_3-1-0_091083_2020-09-11_final
2020-09-12 08:52:35	ga_ls7e_ard_3-1-0_091084_2020-09-11_final
2020-09-12 08:52:59	ga_ls7e_ard_3-1-0_091085_2020-09-11_final
2020-09-12 08:54:59	ga_ls7e_ard_3-1-0_091090_2020-09-11_final
2020-09-12 10:25:53	ga_ls7e_ard_3-1-0_107070_2020-09-12_final
2020-09-12 10:26:17	ga_ls7e_ard_3-1-0_107071_2020-09-12_final
2020-09-12 10:26:41	ga_ls7e_ard_3-1-0_107072_2020-09-12_final
2020-09-12 10:27:29	ga_ls7e_ard_3-1-0_107074_2020-09-12_final
2020-09-12 10:27:53	ga_ls7e_ard_3-1-0_107075_2020-09-12_final
2020-09-12 10:28:17	ga_ls7e_ard_3-1-0_107076_2020-09-12_final
2020-09-12 10:28:41	ga_ls7e_ard_3-1-0_107077_2020-09-12_final
2020-09-12 10:29:05	ga_ls7e_ard_3-1-0_107078_2020-09-12_final
2020-09-12 10:29:28	ga_ls7e_ard_3-1-0_107079_2020-09-12_final
2020-09-12 10:31:28	ga_ls7e_ard_3-1-0_107084_2020-09-12_final
2020-09-13 09:29:24	ga_ls7e_ard_3-1-0_098068_2020-09-12_final
2020-09-13 09:30:36	ga_ls7e_ard_3-1-0_098071_2020-09-13_final
2020-09-13 09:31:00	ga_ls7e_ard_3-1-0_098072_2020-09-13_final
2020-09-13 09:31:24	ga_ls7e_ard_3-1-0_098073_2020-09-13_final
2020-09-13 09:31:48	ga_ls7e_ard_3-1-0_098074_2020-09-13_final
2020-09-13 09:32:12	ga_ls7e_ard_3-1-0_098075_2020-09-13_final
2020-09-13 09:32:59	ga_ls7e_ard_3-1-0_098077_2020-09-13_final
2020-09-13 09:33:23	ga_ls7e_ard_3-1-0_098078_2020-09-13_final
2020-09-13 09:33:47	ga_ls7e_ard_3-1-0_098079_2020-09-13_final
2020-09-13 09:34:11	ga_ls7e_ard_3-1-0_098080_2020-09-13_final
2020-09-13 09:34:35	ga_ls7e_ard_3-1-0_098081_2020-09-13_final
2020-09-13 09:34:59	ga_ls7e_ard_3-1-0_098082_2020-09-13_final
2020-09-13 09:35:23	ga_ls7e_ard_3-1-0_098083_2020-09-13_final
2020-09-13 09:35:47	ga_ls7e_ard_3-1-0_098084_2020-09-13_final
2020-09-13 11:07:53	ga_ls7e_ard_3-1-0_114067_2020-09-13_final
2020-09-13 11:10:40	ga_ls7e_ard_3-1-0_114074_2020-09-13_final
2020-09-13 11:11:04	ga_ls7e_ard_3-1-0_114075_2020-09-13_final
2020-09-13 11:11:28	ga_ls7e_ard_3-1-0_114076_2020-09-13_final
2020-09-13 11:11:52	ga_ls7e_ard_3-1-0_114077_2020-09-13_final
2020-09-13 11:12:16	ga_ls7e_ard_3-1-0_114078_2020-09-13_final
2020-09-13 11:12:40	ga_ls7e_ard_3-1-0_114079_2020-09-13_final
2020-09-13 11:13:04	ga_ls7e_ard_3-1-0_114080_2020-09-13_final
2020-09-13 11:13:28	ga_ls7e_ard_3-1-0_114081_2020-09-13_final

Return to ga_ls7e_ard_3 whole collection 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

All years