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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_51HUE_2015-08-30_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KNC_2016-02-02_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KMC_2016-05-15_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HTC_2016-06-25_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50KKU_2016-08-23_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HVE_2016-10-03_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGL_2016-11-11_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50JNN_2017-02-13_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HMG_2017-03-05_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JPT_2017-04-27_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-07-03 11:37:51	ga_s2am_ard_3-2-1_50KRC_2017-07-03_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JLL_2017-07-26_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JNM_2017-08-05_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_51HTC_2017-08-19_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_50KKA_2017-09-10_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2018-02-11_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JKP_2018-03-23_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JNS_2018-04-02_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50KPC_2018-05-02_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGM_2018-05-25_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50KMC_2018-07-04_final
2018-12-08 11:56:05	ga_s2am_ard_3-2-1_50JKM_2018-12-08_final
2018-12-29 11:27:01	ga_s2am_ard_3-2-1_51HTC_2018-12-29_final
2019-01-10 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-01-10_final
2019-01-30 12:04:54	ga_s2am_ard_3-2-1_50JKS_2019-01-30_final
2019-02-16 11:53:27	ga_s2am_ard_3-2-1_50KMC_2019-02-16_final
2019-05-13 12:13:58	ga_s2am_ard_3-2-1_50KKA_2019-05-13_final
2019-07-06 11:52:42	ga_s2am_ard_3-2-1_50KPF_2019-07-06_final.stac-item
2019-08-15 11:55:59	ga_s2am_ard_3-2-1_50JLN_2019-08-15_final
2019-11-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-11-16_final
2019-12-06 12:03:56	ga_s2am_ard_3-2-1_50KKA_2019-12-06_final
2020-01-05 12:05:35	ga_s2am_ard_3-2-1_50JKP_2020-01-05_final
2020-02-15 11:36:36	ga_s2am_ard_3-2-1_51HUD_2020-02-15_final
2020-03-10 11:16:37	ga_s2am_ard_3-2-1_51HXD_2020-03-10_final
2020-04-04 12:03:19	ga_s2am_ard_3-2-1_50KMC_2020-04-04_final
2020-04-04 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-04-04_final
2020-04-21 11:52:21	ga_s2am_ard_3-2-1_50KQG_2020-04-21_final.stac-item
2020-04-24 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-04-24_final.stac-item
2020-05-14 12:03:28	ga_s2am_ard_3-2-1_50KMC_2020-05-14_final
2020-06-10 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-06-10_final
2020-07-27 11:43:27	ga_s2am_ard_3-2-1_50KQC_2020-07-27_final
2020-10-08 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-10-08_final
2020-11-18 11:27:10	ga_s2am_ard_3-2-1_51HTC_2020-11-18_final
2020-11-27 11:56:26	ga_s2am_ard_3-2-1_50JLL_2020-11-27_final
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final
2020-12-13 12:14:42	ga_s2am_ard_3-2-1_49JFN_2020-12-13_final
2021-01-30 11:36:30	ga_s2am_ard_3-2-1_50HPK_2021-01-30_final
2021-02-16 11:26:57	ga_s2am_ard_3-2-1_51HVC_2021-02-16_final
2021-03-04 11:45:54	ga_s2am_ard_3-2-1_50JNN_2021-03-04_final
2021-03-10 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-03-10_final
2021-04-16 11:56:19	ga_s2am_ard_3-2-1_50JLL_2021-04-16_final
2021-04-27 11:26:29	ga_s2am_ard_3-2-1_51HUE_2021-04-27_final
2021-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-05-09_final
2021-05-19 12:04:28	ga_s2am_ard_3-2-1_50KKU_2021-05-19_final
2021-05-20 11:36:47	ga_s2am_ard_3-2-1_51HTD_2021-05-20_final
2021-07-08 12:04:45	ga_s2am_ard_3-2-1_50JKT_2021-07-08_final
2021-08-30 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-08-30_final
2021-09-17 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-09-17_final.stac-item
2021-10-20 11:43:24	ga_s2am_ard_3-2-1_50KRC_2021-10-20_final
2021-11-02 11:53:35	ga_s2am_ard_3-2-1_50KMC_2021-11-02_final
2021-11-08 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-11-08_final
2022-01-31 11:56:40	ga_s2am_ard_3-2-1_50HLK_2022-01-31_final
2022-02-16 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-02-16_final
2022-03-22 11:52:23	ga_s2am_ard_3-2-1_50KQG_2022-03-22_final.stac-item
2022-03-22 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-03-22_final
2022-04-08 11:46:13	ga_s2am_ard_3-2-1_50JMM_2022-04-08_final
2022-04-24 12:04:04	ga_s2am_ard_3-2-1_50KKA_2022-04-24_final
2022-04-24 12:04:30	ga_s2am_ard_3-2-1_50KLU_2022-04-24_final
2022-05-15 11:36:24	ga_s2am_ard_3-2-1_50JQL_2022-05-15_final
2022-05-27 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-05-27_final
2022-06-08 11:16:49	ga_s2am_ard_3-2-1_51HXD_2022-06-08_final
2022-06-17 11:46:19	ga_s2am_ard_3-2-1_50JNM_2022-06-17_final
2022-06-17 11:46:41	ga_s2am_ard_3-2-1_50HQK_2022-06-17_final
2022-06-20 11:53:33	ga_s2am_ard_3-2-1_50KPC_2022-06-20_final
2022-07-07 11:46:14	ga_s2am_ard_3-2-1_50JQM_2022-07-07_final
2022-07-20 11:52:49	ga_s2am_ard_3-2-1_50KPF_2022-07-20_final.stac-item
2022-08-22 12:04:40	ga_s2am_ard_3-2-1_49KHP_2022-08-22_final
2022-09-15 11:45:56	ga_s2am_ard_3-2-1_50JQN_2022-09-15_final.stac-item
2022-10-16 11:16:48	ga_s2am_ard_3-2-1_51HWD_2022-10-16_final.stac-item
2022-11-30 12:04:13	ga_s2am_ard_3-2-1_50KKV_2022-11-30_final.stac-item
2022-12-27 11:53:19	ga_s2am_ard_3-2-1_50KPC_2022-12-27_final.stac-item
2023-01-23 11:44:30	ga_s2am_ard_3-2-1_50JQT_2023-01-23_final.stac-item
2023-03-28 11:26:42	ga_s2am_ard_3-2-1_51HWD_2023-03-28_final.stac-item
2023-04-03 11:44:37	ga_s2am_ard_3-2-1_50JPT_2023-04-03_final.stac-item
2023-04-09 12:03:59	ga_s2am_ard_3-2-1_50KKA_2023-04-09_final.stac-item
2023-04-19 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-04-19_final.stac-item
2023-04-23 11:46:36	ga_s2am_ard_3-2-1_50HNK_2023-04-23_final.stac-item
2023-06-08 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-08_final.stac-item
2023-06-08 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-06-08_final.stac-item
2023-08-25 11:26:42	ga_s2am_ard_3-2-1_51HXD_2023-08-25_final.stac-item
2023-09-03 11:56:16	ga_s2am_ard_3-2-1_50JLM_2023-09-03_final.stac-item
2023-09-04 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-09-04_final.stac-item
2023-09-10 11:43:23	ga_s2am_ard_3-2-1_50KRC_2023-09-10_final.stac-item
2023-12-05 12:05:34	ga_s2am_ard_3-2-1_50JKP_2023-12-05_final.stac-item
2023-12-13 11:26:50	ga_s2am_ard_3-2-1_51HWC_2023-12-13_final.stac-item
2024-02-13 12:05:38	ga_s2am_ard_3-2-1_50JKP_2024-02-13_final.stac-item
2024-03-01 11:56:08	ga_s2am_ard_3-2-1_50JMM_2024-03-01_final.stac-item
2024-03-31 11:54:10	ga_s2am_ard_3-2-1_50KMV_2024-03-31_final.stac-item
2024-05-10 11:52:37	ga_s2am_ard_3-2-1_50KQF_2024-05-10_interim.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

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