Search ga_s2am_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-02-01 11:25:57	ga_s2am_ard_3-2-1_51JWG_2022-02-01_final
2022-02-01 11:26:00	ga_s2am_ard_3-2-1_51JVG_2022-02-01_final
2022-02-01 11:26:11	ga_s2am_ard_3-2-1_51JWF_2022-02-01_final
2022-02-01 11:26:26	ga_s2am_ard_3-2-1_51HWE_2022-02-01_final
2022-02-01 11:26:32	ga_s2am_ard_3-2-1_51HUE_2022-02-01_final
2022-02-01 11:26:40	ga_s2am_ard_3-2-1_51HWD_2022-02-01_final
2022-02-01 11:27:07	ga_s2am_ard_3-2-1_51HTC_2022-02-01_final
2022-02-03 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-02-03_final
2022-02-03 12:06:10	ga_s2am_ard_3-2-1_50JKM_2022-02-03_final
2022-02-03 12:06:14	ga_s2am_ard_3-2-1_50JLL_2022-02-03_final
2022-02-04 11:35:56	ga_s2am_ard_3-2-1_51JVG_2022-02-04_final
2022-02-04 11:36:28	ga_s2am_ard_3-2-1_51HUE_2022-02-04_final
2022-02-04 11:36:46	ga_s2am_ard_3-2-1_51HTD_2022-02-04_final
2022-02-04 11:37:01	ga_s2am_ard_3-2-1_51HTC_2022-02-04_final
2022-02-08 11:16:30	ga_s2am_ard_3-2-1_51HWE_2022-02-08_final
2022-02-08 11:16:43	ga_s2am_ard_3-2-1_51HWD_2022-02-08_final
2022-02-11 11:25:56	ga_s2am_ard_3-2-1_51JWG_2022-02-11_final
2022-02-11 11:25:59	ga_s2am_ard_3-2-1_51JVG_2022-02-11_final
2022-02-11 11:26:10	ga_s2am_ard_3-2-1_51JWF_2022-02-11_final
2022-02-11 11:26:25	ga_s2am_ard_3-2-1_51HWE_2022-02-11_final
2022-02-11 11:26:31	ga_s2am_ard_3-2-1_51HUE_2022-02-11_final
2022-02-11 11:26:39	ga_s2am_ard_3-2-1_51HWD_2022-02-11_final
2022-02-11 11:27:06	ga_s2am_ard_3-2-1_51HTC_2022-02-11_final
2022-02-13 12:06:09	ga_s2am_ard_3-2-1_50JKM_2022-02-13_final
2022-02-13 12:06:14	ga_s2am_ard_3-2-1_50JLL_2022-02-13_final
2022-02-14 11:35:56	ga_s2am_ard_3-2-1_51JVG_2022-02-14_final
2022-02-14 11:36:28	ga_s2am_ard_3-2-1_51HUE_2022-02-14_final
2022-02-14 11:36:46	ga_s2am_ard_3-2-1_51HTD_2022-02-14_final
2022-02-14 11:37:01	ga_s2am_ard_3-2-1_51HTC_2022-02-14_final
2022-02-18 11:16:21	ga_s2am_ard_3-2-1_51JWF_2022-02-18_final
2022-02-18 11:16:32	ga_s2am_ard_3-2-1_51HWE_2022-02-18_final
2022-02-18 11:16:45	ga_s2am_ard_3-2-1_51HWD_2022-02-18_final
2022-02-20 11:56:16	ga_s2am_ard_3-2-1_50JKM_2022-02-20_final
2022-02-21 11:25:59	ga_s2am_ard_3-2-1_51JWG_2022-02-21_final
2022-02-21 11:26:02	ga_s2am_ard_3-2-1_51JVG_2022-02-21_final
2022-02-21 11:26:13	ga_s2am_ard_3-2-1_51JWF_2022-02-21_final
2022-02-21 11:26:28	ga_s2am_ard_3-2-1_51HWE_2022-02-21_final
2022-02-21 11:26:34	ga_s2am_ard_3-2-1_51HUE_2022-02-21_final
2022-02-21 11:26:42	ga_s2am_ard_3-2-1_51HWD_2022-02-21_final
2022-02-21 11:27:09	ga_s2am_ard_3-2-1_51HTC_2022-02-21_final
2022-02-23 12:06:06	ga_s2am_ard_3-2-1_50JLM_2022-02-23_final
2022-02-23 12:06:16	ga_s2am_ard_3-2-1_50JLL_2022-02-23_final
2022-02-24 11:35:58	ga_s2am_ard_3-2-1_51JVG_2022-02-24_final
2022-02-24 11:36:31	ga_s2am_ard_3-2-1_51HUE_2022-02-24_final
2022-02-24 11:36:49	ga_s2am_ard_3-2-1_51HTD_2022-02-24_final
2022-02-24 11:37:03	ga_s2am_ard_3-2-1_51HTC_2022-02-24_final
2022-02-28 11:16:23	ga_s2am_ard_3-2-1_51JWF_2022-02-28_final
2022-02-28 11:16:34	ga_s2am_ard_3-2-1_51HWE_2022-02-28_final
2022-02-28 11:16:47	ga_s2am_ard_3-2-1_51HWD_2022-02-28_final
2022-03-03 11:25:09	ga_s2am_ard_3-2-1_51JYK_2022-03-03_final
2022-03-03 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2022-03-03_final
2022-03-05 12:04:02	ga_s2am_ard_3-2-1_50KKA_2022-03-05_final
2022-03-05 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-05_final
2022-03-05 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-03-05_final
2022-03-05 12:04:32	ga_s2am_ard_3-2-1_49KHP_2022-03-05_final
2022-03-08 12:13:44	ga_s2am_ard_3-2-1_50KKB_2022-03-08_final
2022-03-08 12:13:58	ga_s2am_ard_3-2-1_49KHR_2022-03-08_final
2022-03-08 12:14:02	ga_s2am_ard_3-2-1_49KGR_2022-03-08_final
2022-03-08 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-08_final
2022-03-08 12:14:45	ga_s2am_ard_3-2-1_49JGN_2022-03-08_final
2022-03-08 12:14:49	ga_s2am_ard_3-2-1_49JFN_2022-03-08_final
2022-03-09 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-03-09_final
2022-03-10 11:15:14	ga_s2am_ard_3-2-1_51JYK_2022-03-10_final
2022-03-10 11:15:29	ga_s2am_ard_3-2-1_51JYJ_2022-03-10_final
2022-03-13 11:25:10	ga_s2am_ard_3-2-1_51JYK_2022-03-13_final
2022-03-13 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2022-03-13_final
2022-03-15 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-03-15_final
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_final
2022-03-15 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-03-15_final
2022-03-15 12:04:32	ga_s2am_ard_3-2-1_49KHP_2022-03-15_final
2022-03-15 12:04:32	ga_s2am_ard_3-2-1_50KKU_2022-03-15_final
2022-03-15 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-03-15_final
2022-03-15 12:04:46	ga_s2am_ard_3-2-1_50JKT_2022-03-15_final
2022-03-15 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-03-15_final
2022-03-16 11:33:07	ga_s2am_ard_3-2-1_51KWT_2022-03-16_final
2022-03-18 12:13:43	ga_s2am_ard_3-2-1_50KKB_2022-03-18_final
2022-03-18 12:14:02	ga_s2am_ard_3-2-1_49KGR_2022-03-18_final
2022-03-18 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2022-03-18_final
2022-03-18 12:14:22	ga_s2am_ard_3-2-1_50KKU_2022-03-18_final
2022-03-18 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-18_final
2022-03-18 12:14:45	ga_s2am_ard_3-2-1_49JGN_2022-03-18_final
2022-03-18 12:14:49	ga_s2am_ard_3-2-1_49JFN_2022-03-18_final
2022-03-19 11:42:32	ga_s2am_ard_3-2-1_51KVA_2022-03-19_final
2022-03-19 11:42:49	ga_s2am_ard_3-2-1_51KUV_2022-03-19_final
2022-03-20 11:15:14	ga_s2am_ard_3-2-1_51JYK_2022-03-20_final
2022-03-20 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2022-03-20_final
2022-03-23 11:25:09	ga_s2am_ard_3-2-1_51JYK_2022-03-23_final
2022-03-23 11:25:23	ga_s2am_ard_3-2-1_51JYJ_2022-03-23_final
2022-03-25 12:04:02	ga_s2am_ard_3-2-1_49KHR_2022-03-25_final
2022-03-25 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2022-03-25_final
2022-03-25 12:04:45	ga_s2am_ard_3-2-1_49JHN_2022-03-25_final
2022-03-25 12:04:49	ga_s2am_ard_3-2-1_49JGN_2022-03-25_final
2022-03-26 11:34:28	ga_s2am_ard_3-2-1_51JWN_2022-03-26_final
2022-03-26 11:34:31	ga_s2am_ard_3-2-1_51JVN_2022-03-26_final
2022-03-28 12:13:42	ga_s2am_ard_3-2-1_50KKB_2022-03-28_final
2022-03-28 12:13:57	ga_s2am_ard_3-2-1_49KHR_2022-03-28_final
2022-03-28 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2022-03-28_final
2022-03-28 12:14:21	ga_s2am_ard_3-2-1_50KKU_2022-03-28_final
2022-03-28 12:14:48	ga_s2am_ard_3-2-1_49JFN_2022-03-28_final
2022-03-30 11:15:13	ga_s2am_ard_3-2-1_51JYK_2022-03-30_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years