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

First 100 results (query limit)

Time (local)	Label
2020-08-11 08:53:04	ga_ls7e_ard_3-1-0_091080_2020-08-10_final
2020-08-11 08:53:28	ga_ls7e_ard_3-1-0_091081_2020-08-10_final
2020-08-11 08:54:16	ga_ls7e_ard_3-1-0_091083_2020-08-10_final
2020-08-11 08:55:52	ga_ls7e_ard_3-1-0_091087_2020-08-10_final
2020-08-11 08:56:16	ga_ls7e_ard_3-1-0_091088_2020-08-10_final
2020-08-11 08:57:04	ga_ls7e_ard_3-1-0_091090_2020-08-10_final
2020-08-11 10:28:46	ga_ls7e_ard_3-1-0_107072_2020-08-11_final
2020-08-12 09:31:29	ga_ls7e_ard_3-1-0_098068_2020-08-12_final
2020-08-12 09:31:53	ga_ls7e_ard_3-1-0_098069_2020-08-12_final
2020-08-12 09:35:04	ga_ls7e_ard_3-1-0_098077_2020-08-12_final
2020-08-12 09:37:28	ga_ls7e_ard_3-1-0_098083_2020-08-12_final
2020-08-13 08:42:35	ga_ls7e_ard_3-1-0_089085_2020-08-12_final
2020-08-13 08:42:59	ga_ls7e_ard_3-1-0_089086_2020-08-12_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-08-14 09:20:59	ga_ls7e_ard_3-1-0_096073_2020-08-13_final
2020-08-14 09:22:11	ga_ls7e_ard_3-1-0_096076_2020-08-13_final
2020-08-14 09:23:23	ga_ls7e_ard_3-1-0_096079_2020-08-13_final
2020-08-14 09:26:11	ga_ls7e_ard_3-1-0_096086_2020-08-13_final
2020-08-16 09:08:30	ga_ls7e_ard_3-1-0_094073_2020-08-15_final
2020-08-16 09:11:42	ga_ls7e_ard_3-1-0_094081_2020-08-15_final
2020-08-16 09:12:54	ga_ls7e_ard_3-1-0_094084_2020-08-15_final
2020-08-18 08:56:49	ga_ls7e_ard_3-1-0_092075_2020-08-17_final
2020-08-18 08:58:01	ga_ls7e_ard_3-1-0_092078_2020-08-17_final
2020-08-18 09:00:00	ga_ls7e_ard_3-1-0_092083_2020-08-17_final
2020-08-18 09:01:36	ga_ls7e_ard_3-1-0_092087_2020-08-17_final
2020-08-19 09:38:25	ga_ls7e_ard_3-1-0_099071_2020-08-19_final
2020-08-19 09:40:00	ga_ls7e_ard_3-1-0_099075_2020-08-19_final
2020-08-19 09:40:24	ga_ls7e_ard_3-1-0_099076_2020-08-19_final
2020-08-19 09:43:12	ga_ls7e_ard_3-1-0_099083_2020-08-19_final
2020-08-20 08:47:55	ga_ls7e_ard_3-1-0_090084_2020-08-19_final
2020-08-20 08:48:19	ga_ls7e_ard_3-1-0_090085_2020-08-19_final
2020-08-20 08:49:31	ga_ls7e_ard_3-1-0_090088_2020-08-19_final
2020-08-20 08:50:19	ga_ls7e_ard_3-1-0_090090_2020-08-19_final
2020-08-21 09:25:55	ga_ls7e_ard_3-1-0_097071_2020-08-20_final
2020-08-21 09:26:43	ga_ls7e_ard_3-1-0_097073_2020-08-20_final
2020-08-21 09:30:19	ga_ls7e_ard_3-1-0_097082_2020-08-21_final
2020-08-23 09:11:50	ga_ls7e_ard_3-1-0_095067_2020-08-22_final
2020-08-23 09:19:01	ga_ls7e_ard_3-1-0_095085_2020-08-22_final
2020-08-25 09:03:20	ga_ls7e_ard_3-1-0_093077_2020-08-24_final
2020-08-25 09:04:08	ga_ls7e_ard_3-1-0_093079_2020-08-24_final
2020-08-25 09:05:20	ga_ls7e_ard_3-1-0_093082_2020-08-24_final
2020-08-26 09:45:20	ga_ls7e_ard_3-1-0_100074_2020-08-26_final
2020-08-26 09:47:20	ga_ls7e_ard_3-1-0_100079_2020-08-26_final
2020-08-27 08:52:03	ga_ls7e_ard_3-1-0_091080_2020-08-26_final
2020-08-27 08:52:27	ga_ls7e_ard_3-1-0_091081_2020-08-26_final
2020-08-27 08:53:39	ga_ls7e_ard_3-1-0_091084_2020-08-26_final
2020-08-27 08:54:50	ga_ls7e_ard_3-1-0_091087_2020-08-26_final
2020-08-28 09:30:27	ga_ls7e_ard_3-1-0_098068_2020-08-28_final
2020-08-28 09:30:51	ga_ls7e_ard_3-1-0_098069_2020-08-28_final
2020-08-28 09:34:51	ga_ls7e_ard_3-1-0_098079_2020-08-28_final
2020-08-28 09:36:26	ga_ls7e_ard_3-1-0_098083_2020-08-28_final
2020-08-28 09:37:14	ga_ls7e_ard_3-1-0_098085_2020-08-28_final
2020-08-28 11:12:32	ga_ls7e_ard_3-1-0_114076_2020-08-28_final
2020-08-28 11:13:19	ga_ls7e_ard_3-1-0_114078_2020-08-28_final
2020-08-28 11:13:43	ga_ls7e_ard_3-1-0_114079_2020-08-28_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-08-28 11:14:31	ga_ls7e_ard_3-1-0_114081_2020-08-28_final
2020-08-29 08:38:46	ga_ls7e_ard_3-1-0_089078_2020-08-28_final
2020-08-29 08:41:33	ga_ls7e_ard_3-1-0_089085_2020-08-28_final
2020-08-29 08:41:57	ga_ls7e_ard_3-1-0_089086_2020-08-28_final
2020-08-29 10:14:27	ga_ls7e_ard_3-1-0_105070_2020-08-29_final
2020-08-29 10:16:26	ga_ls7e_ard_3-1-0_105075_2020-08-29_final
2020-08-29 10:17:14	ga_ls7e_ard_3-1-0_105077_2020-08-29_final
2020-08-29 10:18:26	ga_ls7e_ard_3-1-0_105080_2020-08-29_final
2020-08-30 09:17:34	ga_ls7e_ard_3-1-0_096067_2020-08-29_final
2020-08-30 09:19:57	ga_ls7e_ard_3-1-0_096073_2020-08-29_final
2020-08-30 09:20:45	ga_ls7e_ard_3-1-0_096075_2020-08-29_final
2020-08-30 09:21:09	ga_ls7e_ard_3-1-0_096076_2020-08-29_final
2020-08-30 09:23:09	ga_ls7e_ard_3-1-0_096081_2020-08-29_final
2020-08-30 10:59:14	ga_ls7e_ard_3-1-0_112074_2020-08-30_final
2020-08-30 11:00:26	ga_ls7e_ard_3-1-0_112077_2020-08-30_final
2020-08-30 11:01:14	ga_ls7e_ard_3-1-0_112079_2020-08-30_final
2020-08-30 11:01:38	ga_ls7e_ard_3-1-0_112080_2020-08-30_final
2020-08-30 11:02:02	ga_ls7e_ard_3-1-0_112081_2020-08-30_final
2020-08-30 11:02:50	ga_ls7e_ard_3-1-0_112083_2020-08-30_final
2020-08-30 11:03:14	ga_ls7e_ard_3-1-0_112084_2020-08-30_final
2020-08-31 10:01:33	ga_ls7e_ard_3-1-0_103069_2020-08-31_final
2020-08-31 10:01:57	ga_ls7e_ard_3-1-0_103070_2020-08-31_final
2020-08-31 10:02:21	ga_ls7e_ard_3-1-0_103071_2020-08-31_final
2020-08-31 10:03:33	ga_ls7e_ard_3-1-0_103074_2020-08-31_final
2020-08-31 10:04:21	ga_ls7e_ard_3-1-0_103076_2020-08-31_final
2020-09-01 09:07:28	ga_ls7e_ard_3-1-0_094073_2020-08-31_final
2020-09-01 09:08:16	ga_ls7e_ard_3-1-0_094075_2020-08-31_final
2020-09-01 09:09:52	ga_ls7e_ard_3-1-0_094079_2020-08-31_final
2020-09-01 09:11:51	ga_ls7e_ard_3-1-0_094084_2020-08-31_final
2020-09-01 10:45:09	ga_ls7e_ard_3-1-0_110070_2020-09-01_final
2020-09-01 10:47:33	ga_ls7e_ard_3-1-0_110076_2020-09-01_final
2020-09-01 10:49:08	ga_ls7e_ard_3-1-0_110080_2020-09-01_final
2020-09-01 10:49:32	ga_ls7e_ard_3-1-0_110081_2020-09-01_final
2020-09-01 10:50:44	ga_ls7e_ard_3-1-0_110084_2020-09-01_final
2020-09-02 09:50:16	ga_ls7e_ard_3-1-0_101072_2020-09-02_final
2020-09-02 09:51:04	ga_ls7e_ard_3-1-0_101074_2020-09-02_final
2020-09-03 08:56:58	ga_ls7e_ard_3-1-0_092078_2020-09-02_final
2020-09-03 08:59:46	ga_ls7e_ard_3-1-0_092085_2020-09-02_final
2020-09-03 09:00:34	ga_ls7e_ard_3-1-0_092087_2020-09-02_final
2020-09-03 10:33:27	ga_ls7e_ard_3-1-0_108072_2020-09-03_final
2020-09-03 10:36:15	ga_ls7e_ard_3-1-0_108079_2020-09-03_final
2020-09-03 10:37:03	ga_ls7e_ard_3-1-0_108081_2020-09-03_final
2020-10-01 09:19:28	ga_ls7e_ard_3-1-0_096077_2020-09-30_final
2020-10-01 09:20:16	ga_ls7e_ard_3-1-0_096079_2020-09-30_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