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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JEM_2015-08-01_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_52KHA_2015-11-26_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JYN_2016-04-30_final.stac-item
2016-05-08 10:28:07	ga_s2am_ard_3-2-1_53JPL_2016-05-08_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KEF_2016-05-10_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53HLE_2016-07-30_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_51HXD_2016-10-17_final.stac-item
2016-12-20 10:52:10	ga_s2am_ard_3-2-1_53KKS_2016-12-20_final
2016-12-31 10:25:21	ga_s2am_ard_3-2-1_53HQB_2016-12-31_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVA_2017-01-01_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXJ_2017-01-08_final
2017-01-20 10:24:01	ga_s2am_ard_3-2-1_54HTJ_2017-01-20_final
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53LPF_2017-02-18_final
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53KLQ_2017-05-06_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50KKB_2017-05-10_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50HNK_2017-08-15_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KXQ_2017-09-28_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KVB_2017-10-11_final
2017-11-28 10:57:11	ga_s2am_ard_3-2-1_52KFD_2017-11-28_final
2018-03-01 11:07:09	ga_s2am_ard_3-2-1_52LFL_2018-03-01_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51LWG_2018-03-10_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50KQU_2018-04-02_final
2018-04-10 11:16:00	ga_s2am_ard_3-2-1_51HYE_2018-04-10_final
2018-04-10 11:16:00	ga_s2am_ard_3-2-1_51JYF_2018-04-10_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUK_2018-06-05_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52LHM_2018-06-06_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_51KVT_2018-08-07_final
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_53JKK_2018-10-28_final
2018-11-26 11:14:12	ga_s2am_ard_3-2-1_52JCT_2018-11-26_final
2018-12-14 12:13:31	ga_s2am_ard_3-2-1_50KKB_2018-12-14_final
2019-01-05 11:10:19	ga_s2am_ard_3-2-1_52LHN_2019-01-05_final
2019-03-02 11:32:39	ga_s2am_ard_3-2-1_51KWV_2019-03-02_final
2019-03-04 10:36:23	ga_s2am_ard_3-2-1_53HLD_2019-03-04_final
2019-03-23 11:06:08	ga_s2am_ard_3-2-1_52JBL_2019-03-23_final
2019-03-24 10:35:25	ga_s2am_ard_3-2-1_53JMH_2019-03-24_final
2019-04-11 11:33:36	ga_s2am_ard_3-2-1_51KUS_2019-04-11_final
2019-05-19 10:52:34	ga_s2am_ard_3-2-1_52KHE_2019-05-19_final
2019-06-10 11:34:31	ga_s2am_ard_3-2-1_51JVN_2019-06-10_final
2019-08-15 11:53:39	ga_s2am_ard_3-2-1_50KPB_2019-08-15_final
2019-09-23 10:46:01	ga_s2am_ard_3-2-1_52JGL_2019-09-23_final
2019-10-27 10:27:08	ga_s2am_ard_3-2-1_53HPA_2019-10-27_final
2020-01-24 10:51:07	ga_s2am_ard_3-2-1_53LLE_2020-01-24_final
2020-03-12 11:56:10	ga_s2am_ard_3-2-1_50JKM_2020-03-12_final
2020-05-05 11:34:09	ga_s2am_ard_3-2-1_51KXP_2020-05-05_final
2020-06-02 10:55:52	ga_s2am_ard_3-2-1_52JFM_2020-06-02_final
2020-08-17 11:16:43	ga_s2am_ard_3-2-1_51HYD_2020-08-17_final
2020-09-05 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-09-05_final
2020-09-22 09:57:50	ga_s2am_ard_3-2-1_54HWC_2020-09-22_final
2020-11-28 11:22:27	ga_s2am_ard_3-2-1_51KYA_2020-11-28_final
2020-11-29 10:51:04	ga_s2am_ard_3-2-1_53LPE_2020-11-29_final
2020-12-12 11:05:55	ga_s2am_ard_3-2-1_52JBM_2020-12-12_final
2020-12-22 11:00:39	ga_s2am_ard_3-2-1_53LLG_2020-12-22_final
2020-12-27 10:16:48	ga_s2am_ard_3-2-1_54HTG_2020-12-27_final
2021-01-20 11:31:19	ga_s2am_ard_3-2-1_52LBK_2021-01-20_final
2021-01-21 11:01:42	ga_s2am_ard_3-2-1_53LKC_2021-01-21_final
2021-02-09 11:36:42	ga_s2am_ard_3-2-1_51HUD_2021-02-09_final
2021-07-16 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2021-07-16_final
2021-07-29 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-07-29_final
2021-08-06 10:50:50	ga_s2am_ard_3-2-1_53LLG_2021-08-06_final
2021-09-03 10:16:32	ga_s2am_ard_3-2-1_54HUH_2021-09-03_final
2021-10-06 10:26:08	ga_s2am_ard_3-2-1_53HQE_2021-10-06_final
2021-11-24 10:51:31	ga_s2am_ard_3-2-1_53LPC_2021-11-24_final
2021-12-30 11:11:03	ga_s2am_ard_3-2-1_52LFL_2021-12-30_final
2022-01-25 11:36:28	ga_s2am_ard_3-2-1_51HUE_2022-01-25_final
2022-02-17 11:43:23	ga_s2am_ard_3-2-1_50KQC_2022-02-17_final
2022-02-27 10:06:49	ga_s2am_ard_3-2-1_54HVG_2022-02-27_final
2022-04-08 11:41:59	ga_s2am_ard_3-2-1_51LVC_2022-04-08_final
2022-04-17 10:36:00	ga_s2am_ard_3-2-1_53HQE_2022-04-17_final
2022-05-13 10:50:45	ga_s2am_ard_3-2-1_53LMG_2022-05-13_final
2022-05-22 11:23:35	ga_s2am_ard_3-2-1_51KXS_2022-05-22_final
2022-05-31 11:53:18	ga_s2am_ard_3-2-1_50KRC_2022-05-31_final
2022-05-31 11:56:26	ga_s2am_ard_3-2-1_50JNL_2022-05-31_final
2022-06-24 11:36:44	ga_s2am_ard_3-2-1_51HTE_2022-06-24_final
2022-06-28 11:14:04	ga_s2am_ard_3-2-1_52KCV_2022-06-28_final
2022-06-29 10:42:34	ga_s2am_ard_3-2-1_53KPV_2022-06-29_final
2022-07-10 10:16:47	ga_s2am_ard_3-2-1_54HTH_2022-07-10_final
2022-10-29 09:48:12	ga_s2am_ard_3-2-1_54GYA_2022-10-29_final.stac-item
2022-11-20 12:03:21	ga_s2am_ard_3-2-1_50KNC_2022-11-20_final.stac-item
2022-11-27 10:16:09	ga_s2am_ard_3-2-1_54HWJ_2022-11-27_final.stac-item
2022-11-27 10:16:30	ga_s2am_ard_3-2-1_54HUH_2022-11-27_final.stac-item
2022-11-29 10:51:54	ga_s2am_ard_3-2-1_53KMB_2022-11-29_final.stac-item
2022-12-23 10:34:59	ga_s2am_ard_3-2-1_53JQJ_2022-12-23_final.stac-item
2023-01-28 10:54:19	ga_s2am_ard_3-2-1_52JFT_2023-01-28_final.stac-item
2023-02-02 10:06:45	ga_s2am_ard_3-2-1_54HVG_2023-02-02_final.stac-item
2023-02-26 11:21:48	ga_s2am_ard_3-2-1_52LCH_2023-02-26_final.stac-item
2023-03-01 11:31:40	ga_s2am_ard_3-2-1_51LXD_2023-03-01_final.stac-item
2023-03-04 10:07:37	ga_s2am_ard_3-2-1_54HWC_2023-03-04_final.stac-item
2023-04-05 10:46:05	ga_s2am_ard_3-2-1_53HME_2023-04-05_final.stac-item
2023-05-08 10:50:49	ga_s2am_ard_3-2-1_53LPF_2023-05-08_final.stac-item
2023-06-11 10:35:34	ga_s2am_ard_3-2-1_53JQG_2023-06-11_final.stac-item
2023-08-15 11:24:10	ga_s2am_ard_3-2-1_52KBU_2023-08-15_final.stac-item
2023-09-23 11:55:53	ga_s2am_ard_3-2-1_50JKP_2023-09-23_final.stac-item
2023-10-11 11:15:20	ga_s2am_ard_3-2-1_52JBP_2023-10-11_final.stac-item
2023-11-08 10:34:18	ga_s2am_ard_3-2-1_53JQM_2023-11-08_final.stac-item
2023-12-15 10:24:36	ga_s2am_ard_3-2-1_53JQL_2023-12-15_final.stac-item
2024-01-02 11:26:37	ga_s2am_ard_3-2-1_51HWD_2024-01-02_final.stac-item
2024-01-18 11:42:33	ga_s2am_ard_3-2-1_51KVV_2024-01-18_final.stac-item
2024-03-16 11:00:54	ga_s2am_ard_3-2-1_53LLF_2024-03-16_final.stac-item
2024-03-26 11:04:01	ga_s2am_ard_3-2-1_52KFU_2024-03-26_final.stac-item
2024-04-19 10:42:28	ga_s2am_ard_3-2-1_53KNV_2024-04-19_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