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
2016-01-29 12:13:40	ga_s2am_ard_3-2-1_50KKA_2016-01-29_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HUC_2016-03-07_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51LWC_2016-04-19_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_53KLR_2016-06-03_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JDN_2016-06-06_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51HUC_2016-12-29_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVS_2017-01-24_final
2017-02-16 11:43:38	ga_s2am_ard_3-2-1_50KQF_2017-02-16_final.stac-item
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_53HPA_2017-02-22_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50JQM_2017-04-21_final
2017-04-22 11:03:00	ga_s2am_ard_3-2-1_52KEC_2017-04-22_final
2017-09-12 11:12:13	ga_s2am_ard_3-2-1_52KCC_2017-09-12_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVK_2017-10-05_final
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52KGG_2017-11-08_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KXU_2018-04-23_final
2018-05-11 10:37:30	ga_s2am_ard_3-2-1_53KNP_2018-05-11_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JBL_2018-06-06_final
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KCC_2018-10-27_final
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KFC_2018-10-27_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53HPA_2018-11-04_final
2018-12-27 10:46:17	ga_s2am_ard_3-2-1_53HLD_2018-12-27_final
2019-04-18 11:24:35	ga_s2am_ard_3-2-1_52JBS_2019-04-18_final
2019-05-05 11:13:29	ga_s2am_ard_3-2-1_52KBB_2019-05-05_final
2019-05-31 11:33:37	ga_s2am_ard_3-2-1_51KUS_2019-05-31_final
2019-06-08 10:56:06	ga_s2am_ard_3-2-1_52JEL_2019-06-08_final
2019-06-12 10:36:20	ga_s2am_ard_3-2-1_53HPD_2019-06-12_final
2019-06-17 11:23:04	ga_s2am_ard_3-2-1_51KXU_2019-06-17_final
2019-08-06 11:23:00	ga_s2am_ard_3-2-1_51KYU_2019-08-06_final
2019-08-10 11:03:02	ga_s2am_ard_3-2-1_52KGC_2019-08-10_final
2019-08-21 10:36:53	ga_s2am_ard_3-2-1_53HNB_2019-08-21_final
2019-09-15 11:23:12	ga_s2am_ard_3-2-1_51KXT_2019-09-15_final
2019-09-20 10:34:21	ga_s2am_ard_3-2-1_53JPM_2019-09-20_final
2020-01-09 11:42:58	ga_s2am_ard_3-2-1_50KRD_2020-01-09_final
2020-03-04 10:52:25	ga_s2am_ard_3-2-1_53KKV_2020-03-04_final
2020-03-13 11:26:54	ga_s2am_ard_3-2-1_51HVC_2020-03-13_final
2020-04-07 10:36:47	ga_s2am_ard_3-2-1_53HNB_2020-04-07_final
2020-04-15 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2020-04-15_final
2020-04-23 10:55:39	ga_s2am_ard_3-2-1_52JGM_2020-04-23_final
2020-06-22 10:55:51	ga_s2am_ard_3-2-1_52JFM_2020-06-22_final
2020-07-12 10:54:42	ga_s2am_ard_3-2-1_53JLL_2020-07-12_final
2020-07-17 11:42:00	ga_s2am_ard_3-2-1_51LWC_2020-07-17_final
2020-07-17 11:45:26	ga_s2am_ard_3-2-1_50JPQ_2020-07-17_final
2020-08-07 11:14:15	ga_s2am_ard_3-2-1_52KBU_2020-08-07_final
2020-09-03 11:03:06	ga_s2am_ard_3-2-1_52KFC_2020-09-03_final
2020-09-21 10:26:59	ga_s2am_ard_3-2-1_53HNB_2020-09-21_final
2020-10-15 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-10-15_final
2020-10-21 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-10-21_final
2020-12-01 11:35:26	ga_s2am_ard_3-2-1_51JVJ_2020-12-01_final
2020-12-12 11:04:00	ga_s2am_ard_3-2-1_52KEU_2020-12-12_final
2020-12-25 11:10:36	ga_s2am_ard_3-2-1_52LHM_2020-12-25_final
2021-01-31 11:05:34	ga_s2am_ard_3-2-1_52JDN_2021-01-31_final
2021-02-12 11:42:44	ga_s2am_ard_3-2-1_51KUV_2021-02-12_final
2021-04-09 10:26:36	ga_s2am_ard_3-2-1_53HNC_2021-04-09_final
2021-05-01 11:05:10	ga_s2am_ard_3-2-1_52JFP_2021-05-01_final
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-05-12_final
2021-05-25 10:46:25	ga_s2am_ard_3-2-1_53HLD_2021-05-25_final
2021-05-29 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-05-29_final
2021-06-23 11:13:05	ga_s2am_ard_3-2-1_52KDC_2021-06-23_final
2021-07-12 11:46:16	ga_s2am_ard_3-2-1_50JMM_2021-07-12_final
2021-07-28 12:04:52	ga_s2am_ard_3-2-1_50JMS_2021-07-28_final
2021-09-02 10:44:07	ga_s2am_ard_3-2-1_53JNN_2021-09-02_final
2021-09-07 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-09-07_final
2021-10-16 12:05:22	ga_s2am_ard_3-2-1_49JGL_2021-10-16_final
2021-10-27 11:33:07	ga_s2am_ard_3-2-1_51KYT_2021-10-27_final
2021-11-07 11:04:24	ga_s2am_ard_3-2-1_52JDT_2021-11-07_final
2021-11-25 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-11-25_final
2021-12-26 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2021-12-26_final
2022-01-25 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-01-25_final
2022-01-28 11:43:25	ga_s2am_ard_3-2-1_51KVS_2022-01-28_final
2022-02-08 11:16:43	ga_s2am_ard_3-2-1_51HWD_2022-02-08_final
2022-04-06 11:04:16	ga_s2am_ard_3-2-1_52JFT_2022-04-06_final
2022-05-30 10:46:32	ga_s2am_ard_3-2-1_53HLD_2022-05-30_final
2022-06-26 10:34:12	ga_s2am_ard_3-2-1_53JRN_2022-06-26_final
2022-08-11 10:54:01	ga_s2am_ard_3-2-1_53KMP_2022-08-11_final
2022-08-20 11:23:15	ga_s2am_ard_3-2-1_52KCC_2022-08-20_final
2022-09-29 11:23:50	ga_s2am_ard_3-2-1_51KXR_2022-09-29_final.stac-item
2022-10-11 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2022-10-11_final.stac-item
2022-10-15 13:21:49	ga_s2am_ard_3-2-1_46LHM_2022-10-15_interim.stac-item
2022-11-21 11:33:46	ga_s2am_ard_3-2-1_51KVR_2022-11-21_final.stac-item
2022-11-22 11:04:58	ga_s2am_ard_3-2-1_52JFQ_2022-11-22_final.stac-item
2022-11-28 11:23:00	ga_s2am_ard_3-2-1_51KXU_2022-11-28_final.stac-item
2023-01-17 11:23:50	ga_s2am_ard_3-2-1_51KYQ_2023-01-17_final.stac-item
2023-02-10 11:01:56	ga_s2am_ard_3-2-1_52KHG_2023-02-10_final.stac-item
2023-02-26 11:21:56	ga_s2am_ard_3-2-1_51LYC_2023-02-26_final.stac-item
2023-03-31 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-03-31_final.stac-item
2023-04-15 10:44:10	ga_s2am_ard_3-2-1_53JMN_2023-04-15_final.stac-item
2023-06-03 11:16:17	ga_s2am_ard_3-2-1_51JXF_2023-06-03_final.stac-item
2023-06-20 11:04:07	ga_s2am_ard_3-2-1_52KEU_2023-06-20_final.stac-item
2023-07-01 12:15:04	ga_s2am_ard_3-2-1_49JFM_2023-07-01_final.stac-item
2023-07-26 11:23:08	ga_s2am_ard_3-2-1_52KCC_2023-07-26_final.stac-item
2023-10-03 11:53:19	ga_s2am_ard_3-2-1_50KQC_2023-10-03_final.stac-item
2023-11-12 11:56:07	ga_s2am_ard_3-2-1_50JMM_2023-11-12_final.stac-item
2023-11-30 11:15:24	ga_s2am_ard_3-2-1_52JCN_2023-11-30_final.stac-item
2024-02-23 12:03:42	ga_s2am_ard_3-2-1_50KKB_2024-02-23_final.stac-item
2024-03-01 11:54:44	ga_s2am_ard_3-2-1_50JLT_2024-03-01_final.stac-item
2024-03-08 11:43:01	ga_s2am_ard_3-2-1_51KUU_2024-03-08_final.stac-item
2024-03-12 11:27:02	ga_s2am_ard_3-2-1_51HUC_2024-03-12_final.stac-item
2024-03-31 11:56:13	ga_s2am_ard_3-2-1_50JKM_2024-03-31_final.stac-item
2024-05-13 12:05:18	ga_s2am_ard_3-2-1_49JGL_2024-05-13_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