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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_50KKV_2015-12-27_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50JQM_2016-04-16_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JFN_2016-05-08_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JPT_2016-05-29_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-07-07_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLM_2016-08-30_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-22_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLG_2016-11-05_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLH_2017-01-14_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HQG_2017-04-01_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHS_2017-08-01_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JHN_2017-08-28_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JHN_2017-10-07_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-10-10_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-10-17_final
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_50KKA_2017-12-29_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLH_2018-02-08_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPG_2018-03-30_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNK_2018-04-29_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JNN_2018-04-29_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JQR_2018-05-19_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKP_2018-05-25_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPG_2018-05-29_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JPN_2018-05-29_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLT_2018-06-01_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HLG_2018-06-08_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JLM_2018-06-14_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLN_2018-06-21_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLQ_2018-06-21_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JPS_2018-06-21_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGL_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGM_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLT_2018-06-24_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-04_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLG_2018-07-08_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLN_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLP_2018-07-11_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HLG_2018-07-21_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLG_2018-08-20_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLT_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNM_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNP_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JQQ_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JQS_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPK_2018-09-03_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JPR_2018-09-29_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JPM_2018-10-06_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-12_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKR_2018-10-12_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JNN_2018-10-16_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JPM_2018-10-16_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JPS_2018-10-16_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-10-16_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HNK_2018-10-26_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JMM_2018-11-05_final
2018-11-12 11:36:21	ga_s2am_ard_3-2-1_50JPL_2018-11-12_final
2018-11-18 11:56:30	ga_s2am_ard_3-2-1_50HMK_2018-11-18_final
2018-12-21 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-21_final
2018-12-21 12:04:16	ga_s2am_ard_3-2-1_50KLU_2018-12-21_final
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_50JKT_2018-12-21_final
2018-12-25 11:47:20	ga_s2am_ard_3-2-1_50HLG_2018-12-25_final.stac-item
2019-01-03 12:14:21	ga_s2am_ard_3-2-1_49KGP_2019-01-03_final
2019-01-04 11:44:47	ga_s2am_ard_3-2-1_50JPS_2019-01-04_final
2019-01-04 11:45:59	ga_s2am_ard_3-2-1_50JPM_2019-01-04_final
2019-01-07 11:54:28	ga_s2am_ard_3-2-1_50JPT_2019-01-07_final
2019-01-07 11:54:35	ga_s2am_ard_3-2-1_50JMT_2019-01-07_final
2019-01-07 11:54:57	ga_s2am_ard_3-2-1_50JPR_2019-01-07_final
2019-03-24 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-03-24_final
2019-06-09 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-06-09_final
2019-07-09 12:04:12	ga_s2am_ard_3-2-1_50KKV_2019-07-09_final.stac-item
2019-10-20 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-10-20_final
2020-02-17 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-02-17_final.stac-item
2020-05-25 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-05-25_final.stac-item
2020-06-13 12:03:51	ga_s2am_ard_3-2-1_49KHS_2020-06-13_final.stac-item
2020-10-18 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-10-18_final.stac-item
2020-12-07 11:57:18	ga_s2am_ard_3-2-1_50HMG_2020-12-07_final.stac-item
2021-03-27 11:55:44	ga_s2am_ard_3-2-1_50JKP_2021-03-27_final
2021-04-23 11:46:36	ga_s2am_ard_3-2-1_50HMK_2021-04-23_final
2021-04-29 12:04:33	ga_s2am_ard_3-2-1_50JMT_2021-04-29_final
2021-06-05 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-06-05_final
2021-06-18 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-06-18_final
2021-06-22 11:45:33	ga_s2am_ard_3-2-1_50JQP_2021-06-22_final
2021-07-05 11:55:44	ga_s2am_ard_3-2-1_50JLP_2021-07-05_final
2021-07-05 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final
2021-07-28 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-07-28_final
2021-08-17 12:03:29	ga_s2am_ard_3-2-1_50KLC_2021-08-17_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-08-17 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-08-17_final
2021-08-21 11:44:55	ga_s2am_ard_3-2-1_50JPS_2021-08-21_final
2021-08-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-08-27_final
2022-02-06 12:13:39	ga_s2am_ard_3-2-1_49KHS_2022-02-06_final.stac-item
2022-03-12 11:57:28	ga_s2am_ard_3-2-1_50HLG_2022-03-12_final.stac-item
2022-05-01 11:57:21	ga_s2am_ard_3-2-1_50HMG_2022-05-01_final.stac-item
2022-09-15 11:46:32	ga_s2am_ard_3-2-1_50JNL_2022-09-15_final.stac-item
2022-10-31 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-10-31_final.stac-item
2023-01-16 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-01-16_final.stac-item
2023-05-19 12:03:46	ga_s2am_ard_3-2-1_49KHS_2023-05-19_final.stac-item
2023-06-21 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-21_final.stac-item
2024-03-18 11:45:25	ga_s2am_ard_3-2-1_50JNQ_2024-03-18_final.stac-item

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