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
2021-03-14 08:46:36	ga_ls7e_ard_3-2-0_092086_2021-03-13_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-15 11:05:04	ga_ls7e_ard_3-2-0_115077_2021-03-15_final
2021-03-24 09:16:06	ga_ls7e_ard_3-2-0_098069_2021-03-23_final
2021-03-30 10:17:48	ga_ls7e_ard_3-2-0_108070_2021-03-30_final
2021-03-31 09:27:41	ga_ls7e_ard_3-2-0_099084_2021-03-30_final
2021-04-10 08:22:16	ga_ls7e_ard_3-2-0_089077_2021-04-09_final
2021-04-12 09:50:13	ga_ls7e_ard_3-2-0_103081_2021-04-12_final
2021-04-15 10:16:28	ga_ls7e_ard_3-2-0_108070_2021-04-15_final
2021-04-16 09:25:58	ga_ls7e_ard_3-2-0_099083_2021-04-15_final
2021-04-24 10:11:32	ga_ls7e_ard_3-2-0_107075_2021-04-24_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_final
2021-05-02 09:20:13	ga_ls7e_ard_3-2-0_099072_2021-05-01_final
2021-05-09 09:25:25	ga_ls7e_ard_3-2-0_100071_2021-05-08_final
2021-05-11 09:16:29	ga_ls7e_ard_3-2-0_098080_2021-05-10_final
2021-05-19 08:27:58	ga_ls7e_ard_3-2-0_090084_2021-05-18_final
2021-05-19 08:29:58	ga_ls7e_ard_3-2-0_090089_2021-05-18_final
2021-05-20 09:08:44	ga_ls7e_ard_3-2-0_097078_2021-05-19_final
2021-05-22 10:33:30	ga_ls7e_ard_3-2-0_111074_2021-05-22_final
2021-05-24 10:21:46	ga_ls7e_ard_3-2-0_109076_2021-05-24_final
2021-05-29 10:39:04	ga_ls7e_ard_3-2-0_112074_2021-05-29_final
2021-06-04 08:26:12	ga_ls7e_ard_3-2-0_090083_2021-06-03_final
2021-06-05 10:41:52	ga_ls7e_ard_3-2-0_113067_2021-06-05_final
2021-06-09 10:18:25	ga_ls7e_ard_3-2-0_109071_2021-06-09_final
2021-06-14 09:03:40	ga_ls7e_ard_3-2-0_096086_2021-06-13_final
2021-06-14 10:40:33	ga_ls7e_ard_3-2-0_112081_2021-06-14_final
2021-06-15 09:44:27	ga_ls7e_ard_3-2-0_103080_2021-06-15_final
2021-06-19 09:15:01	ga_ls7e_ard_3-2-0_099069_2021-06-18_final
2021-06-19 10:55:53	ga_ls7e_ard_3-2-0_115074_2021-06-19_final
2021-06-23 10:28:27	ga_ls7e_ard_3-2-0_111068_2021-06-23_final
2021-06-23 10:29:38	ga_ls7e_ard_3-2-0_111071_2021-06-23_final
2021-06-27 10:09:22	ga_ls7e_ard_3-2-0_107083_2021-06-27_final
2021-07-02 10:27:30	ga_ls7e_ard_3-2-0_110083_2021-07-02_final
2021-07-03 09:29:24	ga_ls7e_ard_3-2-0_101077_2021-07-02_final
2021-07-04 10:09:47	ga_ls7e_ard_3-2-0_108070_2021-07-04_final
2021-07-09 10:29:53	ga_ls7e_ard_3-2-0_111075_2021-07-09_final
2021-07-13 08:29:33	ga_ls7e_ard_3-2-0_091084_2021-07-12_final
2021-07-13 10:08:01	ga_ls7e_ard_3-2-0_107083_2021-07-13_final
2021-07-15 08:17:25	ga_ls7e_ard_3-2-0_089085_2021-07-14_final
2021-07-23 10:40:39	ga_ls7e_ard_3-2-0_113074_2021-07-23_final
2021-08-03 10:25:08	ga_ls7e_ard_3-2-0_110084_2021-08-03_final
2021-08-06 09:10:30	ga_ls7e_ard_3-2-0_099068_2021-08-05_final
2021-08-12 08:40:05	ga_ls7e_ard_3-2-0_093086_2021-08-11_final
2021-08-15 09:03:55	ga_ls7e_ard_3-2-0_098069_2021-08-14_final
2021-08-20 09:27:13	ga_ls7e_ard_3-2-0_101082_2021-08-19_final
2021-08-22 09:10:41	ga_ls7e_ard_3-2-0_099072_2021-08-21_final
2021-08-25 09:40:32	ga_ls7e_ard_3-2-0_104070_2021-08-25_final
2021-08-26 10:25:18	ga_ls7e_ard_3-2-0_111074_2021-08-26_final
2021-08-26 10:29:18	ga_ls7e_ard_3-2-0_111084_2021-08-26_final
2021-08-31 09:03:20	ga_ls7e_ard_3-2-0_098071_2021-08-30_final
2021-08-31 09:08:08	ga_ls7e_ard_3-2-0_098083_2021-08-30_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-15 08:24:45	ga_ls7e_ard_3-2-0_091086_2021-09-14_final
2021-09-16 09:07:07	ga_ls7e_ard_3-2-0_098084_2021-09-15_final
2021-09-22 10:02:48	ga_ls7e_ard_3-2-0_108070_2021-09-22_final
2021-09-23 09:06:41	ga_ls7e_ard_3-2-0_099069_2021-09-22_final
2021-09-24 08:14:10	ga_ls7e_ard_3-2-0_090077_2021-09-23_final
2021-10-02 09:02:54	ga_ls7e_ard_3-2-0_098077_2021-10-01_final
2021-10-17 08:17:55	ga_ls7e_ard_3-2-0_091076_2021-10-16_final
2021-10-20 08:46:09	ga_ls7e_ard_3-2-0_096070_2021-10-19_final
2021-10-24 08:23:28	ga_ls7e_ard_3-2-0_092076_2021-10-23_final
2021-10-27 10:35:21	ga_ls7e_ard_3-2-0_113082_2021-10-27_final
2021-11-09 09:59:38	ga_ls7e_ard_3-2-0_108073_2021-11-09_final
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-13 09:33:20	ga_ls7e_ard_3-2-1_104070_2021-11-13_final
2021-11-20 09:41:37	ga_ls7e_ard_3-2-1_105077_2021-11-20_final
2021-11-21 10:27:34	ga_ls7e_ard_3-2-1_112084_2021-11-21_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-30 10:19:45	ga_ls7e_ard_3-2-1_111082_2021-11-30_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-13 08:08:21	ga_ls7e_ard_3-2-1_090081_2021-12-12_final
2021-12-13 09:42:50	ga_ls7e_ard_3-2-1_106070_2021-12-13_final
2021-12-20 08:15:51	ga_ls7e_ard_3-2-1_091086_2021-12-19_final
2021-12-21 08:55:49	ga_ls7e_ard_3-2-1_098078_2021-12-20_final
2021-12-22 09:38:34	ga_ls7e_ard_3-2-1_105077_2021-12-22_final
2021-12-25 10:08:23	ga_ls7e_ard_3-2-1_110075_2021-12-25_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2022-01-06 10:31:53	ga_ls7e_ard_3-2-1_114075_2022-01-06_final
2022-01-07 09:36:58	ga_ls7e_ard_3-2-1_105077_2022-01-07_final
2022-01-10 10:07:36	ga_ls7e_ard_3-2-1_110077_2022-01-10_final
2022-01-13 09:02:08	ga_ls7e_ard_3-2-1_099084_2022-01-12_final
2022-01-19 08:20:30	ga_ls7e_ard_3-2-1_093074_2022-01-18_final
2022-01-22 10:32:22	ga_ls7e_ard_3-2-1_114080_2022-01-22_final
2022-01-24 08:36:57	ga_ls7e_ard_3-2-1_096070_2022-01-23_final
2022-01-25 09:22:30	ga_ls7e_ard_3-2-1_103076_2022-01-24_final
2022-02-06 08:11:56	ga_ls7e_ard_3-2-1_091088_2022-02-05_final
2022-02-08 09:35:27	ga_ls7e_ard_3-2-1_105081_2022-02-08_final
2022-02-11 10:07:14	ga_ls7e_ard_3-2-1_110084_2022-02-11_final
2022-02-15 08:03:37	ga_ls7e_ard_3-2-1_090085_2022-02-14_final
2022-02-20 09:59:22	ga_ls7e_ard_3-2-1_109082_2022-02-20_final
2022-02-22 08:05:33	ga_ls7e_ard_3-2-1_091076_2022-02-21_final
2022-02-22 08:07:32	ga_ls7e_ard_3-2-1_091081_2022-02-21_final
2022-03-02 10:32:42	ga_ls7e_ard_3-2-1_115075_2022-03-02_final
2022-03-02 10:33:06	ga_ls7e_ard_3-2-1_115076_2022-03-02_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-11 08:47:57	ga_ls7e_ard_3-2-1_098078_2022-03-10_final
2022-03-12 07:53:49	ga_ls7e_ard_3-2-1_089082_2022-03-11_final
2022-03-23 09:09:29	ga_ls7e_ard_3-2-1_102073_2022-03-22_final
2022-04-01 09:06:03	ga_ls7e_ard_3-2-1_101082_2022-03-31_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