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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JKS_2016-01-06_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXA_2016-01-07_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KDF_2016-01-21_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDL_2016-03-28_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_52JDS_2016-04-30_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVA_2016-05-09_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNL_2016-07-21_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JCM_2016-08-05_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HMJ_2016-08-17_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JMM_2016-10-09_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KRD_2017-01-14_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51JVN_2017-01-31_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JLL_2017-03-18_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KCB_2017-04-15_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JES_2017-07-11_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HNJ_2017-08-12_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HTD_2017-09-28_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVF_2017-12-04_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HYE_2017-12-11_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQR_2017-12-30_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52LHN_2018-01-07_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KED_2018-02-16_final
2018-02-23 10:53:12	ga_s2am_ard_3-2-1_52JFR_2018-02-23_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51HTD_2018-02-25_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KXU_2018-07-15_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HWD_2018-10-07_final
2019-01-28 11:23:07	ga_s2am_ard_3-2-1_51KYT_2019-01-28_final
2019-03-02 11:32:53	ga_s2am_ard_3-2-1_51KWU_2019-03-02_final
2019-03-26 11:16:36	ga_s2am_ard_3-2-1_51HYD_2019-03-26_final
2019-05-21 11:34:55	ga_s2am_ard_3-2-1_50JRS_2019-05-21_final
2019-06-10 11:36:49	ga_s2am_ard_3-2-1_51HTD_2019-06-10_final
2019-06-26 11:55:54	ga_s2am_ard_3-2-1_50JNN_2019-06-26_final
2019-07-26 11:56:27	ga_s2am_ard_3-2-1_50JML_2019-07-26_final
2019-08-16 11:24:35	ga_s2am_ard_3-2-1_51JZM_2019-08-16_final
2019-10-18 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-10-18_final
2019-12-20 11:44:10	ga_s2am_ard_3-2-1_51KTP_2019-12-20_final
2020-01-09 11:44:58	ga_s2am_ard_3-2-1_50JQR_2020-01-09_final
2020-01-10 11:14:36	ga_s2am_ard_3-2-1_51JYM_2020-01-10_final
2020-01-16 11:32:26	ga_s2am_ard_3-2-1_51KVA_2020-01-16_final
2020-02-12 11:26:54	ga_s2am_ard_3-2-1_51HUC_2020-02-12_final
2020-04-25 11:34:38	ga_s2am_ard_3-2-1_50JRT_2020-04-25_final
2020-05-26 11:02:53	ga_s2am_ard_3-2-1_52KFD_2020-05-26_final
2020-08-06 11:45:24	ga_s2am_ard_3-2-1_50JQQ_2020-08-06_final
2020-08-10 11:26:46	ga_s2am_ard_3-2-1_51HWD_2020-08-10_final
2020-08-12 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-08-12_final
2020-10-02 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-10-02_final
2020-11-03 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-11-03_final
2020-12-21 11:32:31	ga_s2am_ard_3-2-1_51KVA_2020-12-21_final
2020-12-22 11:05:57	ga_s2am_ard_3-2-1_52JBM_2020-12-22_final
2021-01-30 11:33:27	ga_s2am_ard_3-2-1_51KWS_2021-01-30_final
2021-02-02 11:44:02	ga_s2am_ard_3-2-1_50KRV_2021-02-02_final
2021-02-05 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-02-05_final
2021-03-01 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-03-01_final
2021-03-15 11:13:04	ga_s2am_ard_3-2-1_52KDC_2021-03-15_final
2021-05-16 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-05-16_final
2021-05-23 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2021-05-23_final
2021-06-09 11:35:16	ga_s2am_ard_3-2-1_51JUK_2021-06-09_final
2021-07-13 11:14:56	ga_s2am_ard_3-2-1_52JBR_2021-07-13_final
2021-07-25 11:54:29	ga_s2am_ard_3-2-1_50KMU_2021-07-25_final
2021-08-05 11:23:23	ga_s2am_ard_3-2-1_52KBB_2021-08-05_final
2021-08-08 11:36:45	ga_s2am_ard_3-2-1_51HUD_2021-08-08_final
2021-11-06 11:34:28	ga_s2am_ard_3-2-1_51JWN_2021-11-06_final
2021-11-22 11:56:04	ga_s2am_ard_3-2-1_50JNM_2021-11-22_final
2021-12-29 11:42:23	ga_s2am_ard_3-2-1_51KWA_2021-12-29_final
2022-03-04 10:55:17	ga_s2am_ard_3-2-1_52JGP_2022-03-04_final
2022-03-29 11:46:43	ga_s2am_ard_3-2-1_50HMK_2022-03-29_final
2022-04-29 11:14:36	ga_s2am_ard_3-2-1_52JDS_2022-04-29_final
2022-06-01 11:22:49	ga_s2am_ard_3-2-1_51KYV_2022-06-01_final
2022-06-01 11:24:34	ga_s2am_ard_3-2-1_51JXN_2022-06-01_final
2022-06-11 11:23:20	ga_s2am_ard_3-2-1_51KYT_2022-06-11_final
2022-08-16 11:45:34	ga_s2am_ard_3-2-1_50JPQ_2022-08-16_final
2022-08-31 10:53:12	ga_s2am_ard_3-2-1_52KHC_2022-08-31_final
2022-09-08 11:55:35	ga_s2am_ard_3-2-1_50JMQ_2022-09-08_final.stac-item
2022-09-18 13:31:48	ga_s2am_ard_3-2-1_46LHM_2022-09-18_interim.stac-item
2022-10-06 11:16:47	ga_s2am_ard_3-2-1_51HXD_2022-10-06_final.stac-item
2022-11-04 11:42:13	ga_s2am_ard_3-2-1_51KWB_2022-11-04_final.stac-item
2022-11-21 11:33:17	ga_s2am_ard_3-2-1_51KVT_2022-11-21_final.stac-item
2022-11-24 11:42:27	ga_s2am_ard_3-2-1_51KVA_2022-11-24_final.stac-item
2023-01-04 11:13:36	ga_s2am_ard_3-2-1_52KCA_2023-01-04_final.stac-item
2023-01-20 11:31:13	ga_s2am_ard_3-2-1_52LBK_2023-01-20_final.stac-item
2023-02-05 11:57:11	ga_s2am_ard_3-2-1_50HKH_2023-02-05_nrt.stac-item
2023-02-23 11:11:46	ga_s2am_ard_3-2-1_52LEH_2023-02-23_final.stac-item
2023-03-31 11:34:53	ga_s2am_ard_3-2-1_51JWL_2023-03-31_final.stac-item
2023-04-13 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-04-13_final.stac-item
2023-04-14 11:12:28	ga_s2am_ard_3-2-1_52KFE_2023-04-14_final.stac-item
2023-05-30 11:35:16	ga_s2am_ard_3-2-1_51JVK_2023-05-30_final.stac-item
2023-06-03 11:16:34	ga_s2am_ard_3-2-1_51HWE_2023-06-03_final.stac-item
2023-06-25 11:56:11	ga_s2am_ard_3-2-1_50JMM_2023-06-25_final.stac-item
2023-06-25 11:57:17	ga_s2am_ard_3-2-1_49HGC_2023-06-25_nrt.stac-item
2023-07-02 11:42:00	ga_s2am_ard_3-2-1_51LWC_2023-07-02_final.stac-item
2023-07-08 12:06:15	ga_s2am_ard_3-2-1_50JKM_2023-07-08_final.stac-item
2023-07-19 11:36:18	ga_s2am_ard_3-2-1_50JQL_2023-07-19_final.stac-item
2023-10-10 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-10-10_final.stac-item
2023-11-20 11:11:34	ga_s2am_ard_3-2-1_52LDJ_2023-11-20_final.stac-item
2024-01-15 11:31:35	ga_s2am_ard_3-2-1_51LXD_2024-01-15_final.stac-item
2024-01-15 11:33:35	ga_s2am_ard_3-2-1_51KWR_2024-01-15_final.stac-item
2024-03-05 11:36:27	ga_s2am_ard_3-2-1_50JPL_2024-03-05_final.stac-item
2024-03-06 11:05:34	ga_s2am_ard_3-2-1_52JDN_2024-03-06_final.stac-item
2024-03-09 11:13:37	ga_s2am_ard_3-2-1_52KCA_2024-03-09_final.stac-item
2024-03-25 11:33:31	ga_s2am_ard_3-2-1_51KVS_2024-03-25_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

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