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
2015-12-19 11:04:17	ga_s2am_ard_3-2-1_52KHA_2015-12-19_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_52KBB_2015-12-25_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50JQM_2016-03-07_final.stac-item
2016-05-19 10:01:47	ga_s2am_ard_3-2-1_54HXD_2016-05-19_final.stac-item
2016-06-30 10:43:09	ga_s2am_ard_3-2-1_53KPP_2016-06-30_final.stac-item
2016-07-25 09:57:57	ga_s2am_ard_3-2-1_54GYA_2016-07-25_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JYH_2016-07-29_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_52LCJ_2016-08-31_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-09-22_final.stac-item
2016-11-26 11:10:35	ga_s2am_ard_3-2-1_52LFL_2016-11-26_final.stac-item
2016-11-29 11:16:57	ga_s2am_ard_3-2-1_52KBB_2016-11-29_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWQ_2016-12-22_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51LYC_2017-01-18_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KGP_2017-02-19_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JGL_2017-04-09_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-04-13_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWB_2017-05-31_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50JNR_2017-06-13_final
2017-07-05 10:37:26	ga_s2am_ard_3-2-1_53LPF_2017-07-05_final
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JFM_2017-07-22_final
2017-08-08 10:22:57	ga_s2am_ard_3-2-1_54HTF_2017-08-08_final
2017-10-06 10:47:23	ga_s2am_ard_3-2-1_53LMD_2017-10-06_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JFM_2017-11-29_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-12-19_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_53KKU_2018-01-07_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51KZS_2018-02-22_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KWQ_2018-03-07_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMH_2018-04-19_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDP_2018-06-06_final
2018-06-20 10:40:49	ga_s2am_ard_3-2-1_53JMF_2018-06-20_final
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_53HPA_2018-07-17_final
2018-08-16 10:36:26	ga_s2am_ard_3-2-1_53HPC_2018-08-16_final
2019-01-15 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2019-01-15_final
2019-02-09 10:26:41	ga_s2am_ard_3-2-1_54HTG_2019-02-09_final
2019-02-20 09:57:30	ga_s2am_ard_3-2-1_54HXC_2019-02-20_final
2019-03-26 11:13:53	ga_s2am_ard_3-2-1_51KZQ_2019-03-26_final
2019-03-26 11:15:21	ga_s2am_ard_3-2-1_52JBP_2019-03-26_final
2019-04-23 12:15:23	ga_s2am_ard_3-2-1_49JGK_2019-04-23_final
2019-05-31 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-05-31_final
2019-09-05 11:22:57	ga_s2am_ard_3-2-1_51KZU_2019-09-05_final
2019-09-15 11:27:01	ga_s2am_ard_3-2-1_51HUC_2019-09-15_final
2019-10-05 11:26:38	ga_s2am_ard_3-2-1_51HXD_2019-10-05_final
2019-10-12 11:15:45	ga_s2am_ard_3-2-1_51JXH_2019-10-12_final
2019-11-22 10:44:17	ga_s2am_ard_3-2-1_53JPM_2019-11-22_final
2019-11-24 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2019-11-24_final
2019-12-29 10:35:47	ga_s2am_ard_3-2-1_53JNF_2019-12-29_final
2020-01-07 11:04:05	ga_s2am_ard_3-2-1_52JGT_2020-01-07_final
2020-01-30 11:15:28	ga_s2am_ard_3-2-1_51JXH_2020-01-30_final
2020-04-15 11:35:40	ga_s2am_ard_3-2-1_51JVH_2020-04-15_final
2020-05-01 10:17:07	ga_s2am_ard_3-2-1_53HQA_2020-05-01_final
2020-05-20 10:43:32	ga_s2am_ard_3-2-1_53KMR_2020-05-20_final
2020-05-26 11:04:17	ga_s2am_ard_3-2-1_52JGT_2020-05-26_final
2020-07-14 11:32:59	ga_s2am_ard_3-2-1_51KXU_2020-07-14_final
2020-08-03 09:58:11	ga_s2am_ard_3-2-1_54GYA_2020-08-03_final
2020-09-02 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2020-09-02_final
2020-09-08 11:55:20	ga_s2am_ard_3-2-1_50JPQ_2020-09-08_final
2020-09-23 11:06:04	ga_s2am_ard_3-2-1_52JEL_2020-09-23_final
2020-11-15 11:13:40	ga_s2am_ard_3-2-1_52KCA_2020-11-15_final
2020-12-11 11:34:33	ga_s2am_ard_3-2-1_50JRT_2020-12-11_final
2020-12-23 10:34:50	ga_s2am_ard_3-2-1_53JQK_2020-12-23_final
2021-01-02 10:35:34	ga_s2am_ard_3-2-1_53JPG_2021-01-02_final
2021-03-20 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-03-20_final
2021-04-08 10:55:50	ga_s2am_ard_3-2-1_53JKF_2021-04-08_final
2021-06-24 10:41:56	ga_s2am_ard_3-2-1_53KNB_2021-06-24_final
2021-06-29 11:36:28	ga_s2am_ard_3-2-1_50JPL_2021-06-29_final
2021-07-27 10:55:52	ga_s2am_ard_3-2-1_52JEM_2021-07-27_final
2021-09-20 11:42:38	ga_s2am_ard_3-2-1_51KVA_2021-09-20_final
2021-11-01 10:44:21	ga_s2am_ard_3-2-1_53JPM_2021-11-01_final
2022-01-30 10:42:00	ga_s2am_ard_3-2-1_53KRA_2022-01-30_final
2022-02-02 10:54:21	ga_s2am_ard_3-2-1_52JFT_2022-02-02_final
2022-02-13 12:04:21	ga_s2am_ard_3-2-1_50KMU_2022-02-13_final
2022-03-29 11:44:43	ga_s2am_ard_3-2-1_51JUM_2022-03-29_final
2022-05-17 10:35:20	ga_s2am_ard_3-2-1_53JMJ_2022-05-17_final
2022-05-18 11:43:23	ga_s2am_ard_3-2-1_51KTT_2022-05-18_final
2022-05-24 10:26:12	ga_s2am_ard_3-2-1_54HUK_2022-05-24_final
2022-06-03 10:25:57	ga_s2am_ard_3-2-1_53JQF_2022-06-03_final
2022-06-18 11:16:55	ga_s2am_ard_3-2-1_51HWD_2022-06-18_final
2022-06-29 10:41:58	ga_s2am_ard_3-2-1_53KRB_2022-06-29_final
2022-08-09 11:53:42	ga_s2am_ard_3-2-1_50KMC_2022-08-09_final
2022-08-11 10:54:09	ga_s2am_ard_3-2-1_52KHU_2022-08-11_final
2022-09-20 10:51:43	ga_s2am_ard_3-2-1_53LLD_2022-09-20_final.stac-item
2022-11-18 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-11-18_final.stac-item
2022-11-27 10:16:52	ga_s2am_ard_3-2-1_54HWF_2022-11-27_final.stac-item
2022-12-02 11:00:43	ga_s2am_ard_3-2-1_53LKG_2022-12-02_final.stac-item
2022-12-20 10:26:40	ga_s2am_ard_3-2-1_54HTG_2022-12-20_final.stac-item
2022-12-24 11:43:56	ga_s2am_ard_3-2-1_51KUQ_2022-12-24_final.stac-item
2023-02-05 11:53:20	ga_s2am_ard_3-2-1_50KPC_2023-02-05_final.stac-item
2023-05-06 11:55:49	ga_s2am_ard_3-2-1_50JNN_2023-05-06_final.stac-item
2023-05-29 12:03:48	ga_s2am_ard_3-2-1_50KKB_2023-05-29_final.stac-item
2023-07-12 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2023-07-12_final.stac-item
2023-07-21 10:33:57	ga_s2am_ard_3-2-1_53KPP_2023-07-21_final.stac-item
2023-08-21 11:42:01	ga_s2am_ard_3-2-1_51LWC_2023-08-21_final.stac-item
2023-09-20 10:07:14	ga_s2am_ard_3-2-1_54HWE_2023-09-20_final.stac-item
2023-09-20 11:42:15	ga_s2am_ard_3-2-1_51KVB_2023-09-20_final.stac-item
2023-10-24 11:26:58	ga_s2am_ard_3-2-1_51HVC_2023-10-24_final.stac-item
2023-12-27 11:00:59	ga_s2am_ard_3-2-1_52LGL_2023-12-27_final.stac-item
2024-01-09 11:12:42	ga_s2am_ard_3-2-1_52KED_2024-01-09_final.stac-item
2024-03-08 11:45:07	ga_s2am_ard_3-2-1_50JPR_2024-03-08_final.stac-item
2024-03-15 11:34:25	ga_s2am_ard_3-2-1_51JWN_2024-03-15_final.stac-item
2024-04-01 11:25:15	ga_s2am_ard_3-2-1_51JVK_2024-04-01_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