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
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KWQ_2016-01-24_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JKM_2016-03-03_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HVE_2016-03-07_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KVV_2016-04-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVB_2016-05-09_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HPJ_2016-07-28_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51JTF_2016-08-04_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGN_2016-09-22_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPJ_2016-10-03_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JFM_2016-12-14_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTR_2017-01-14_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50HMK_2017-03-18_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JKM_2017-09-14_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KNU_2017-12-03_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JPQ_2018-02-11_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGJ_2018-04-05_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KWR_2018-04-16_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51JYN_2018-04-20_final
2018-12-09 11:25:26	ga_s2am_ard_3-2-1_51JYH_2018-12-09_final
2019-01-01 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2019-01-01_final
2019-02-20 11:32:25	ga_s2am_ard_3-2-1_51KWA_2019-02-20_final
2019-03-15 11:45:40	ga_s2am_ard_3-2-1_51JTH_2019-03-15_final
2019-03-25 11:43:20	ga_s2am_ard_3-2-1_50KQC_2019-03-25_final
2019-03-25 11:43:50	ga_s2am_ard_3-2-1_50KQA_2019-03-25_final
2019-03-26 11:16:36	ga_s2am_ard_3-2-1_51HYD_2019-03-26_final
2019-06-17 11:25:42	ga_s2am_ard_3-2-1_51JXH_2019-06-17_final
2019-06-23 11:46:23	ga_s2am_ard_3-2-1_50JPL_2019-06-23_final
2019-07-10 11:36:28	ga_s2am_ard_3-2-1_51HVE_2019-07-10_final
2019-07-26 11:56:27	ga_s2am_ard_3-2-1_50JML_2019-07-26_final
2019-11-11 11:16:39	ga_s2am_ard_3-2-1_51HYD_2019-11-11_final
2019-12-01 11:16:21	ga_s2am_ard_3-2-1_51HYE_2019-12-01_final
2019-12-21 11:14:35	ga_s2am_ard_3-2-1_51JYM_2019-12-21_final
2019-12-28 11:06:31	ga_s2am_ard_3-2-1_51HYD_2019-12-28_final
2020-01-03 11:25:33	ga_s2am_ard_3-2-1_51JXH_2020-01-03_final
2020-01-06 11:33:22	ga_s2am_ard_3-2-1_51KWS_2020-01-06_final
2020-02-08 11:45:06	ga_s2am_ard_3-2-1_51JTK_2020-02-08_final
2020-02-08 11:45:53	ga_s2am_ard_3-2-1_50JQM_2020-02-08_final
2020-02-09 11:15:17	ga_s2am_ard_3-2-1_51JYJ_2020-02-09_final
2020-03-05 12:06:05	ga_s2am_ard_3-2-1_50JKM_2020-03-05_final
2020-04-14 12:04:27	ga_s2am_ard_3-2-1_49KHP_2020-04-14_final
2020-04-28 11:45:56	ga_s2am_ard_3-2-1_50JNN_2020-04-28_final
2020-05-09 11:16:41	ga_s2am_ard_3-2-1_51HYD_2020-05-09_final
2020-05-25 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-05-25_final
2020-07-01 11:25:47	ga_s2am_ard_3-2-1_51JWH_2020-07-01_final
2020-07-14 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-07-14_final
2020-08-22 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-08-22_final
2020-10-18 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-18_final
2020-11-18 11:24:32	ga_s2am_ard_3-2-1_51JWN_2020-11-18_final
2021-02-06 11:26:43	ga_s2am_ard_3-2-1_51HVD_2021-02-06_final
2021-02-08 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-02-08_final
2021-03-08 11:26:25	ga_s2am_ard_3-2-1_51HWE_2021-03-08_final
2021-03-15 11:16:36	ga_s2am_ard_3-2-1_51HYD_2021-03-15_final
2021-03-25 11:15:09	ga_s2am_ard_3-2-1_51JYK_2021-03-25_final
2021-05-16 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-05-16_final
2021-05-30 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-05-30_final
2021-05-30 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2021-05-30_final
2021-07-25 11:54:37	ga_s2am_ard_3-2-1_50JPT_2021-07-25_final
2021-07-31 12:14:24	ga_s2am_ard_3-2-1_49KGQ_2021-07-31_final
2021-11-19 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-11-19_final
2021-11-19 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-11-19_final
2022-01-19 11:16:23	ga_s2am_ard_3-2-1_51HYE_2022-01-19_final
2022-02-01 11:24:23	ga_s2am_ard_3-2-1_51JYN_2022-02-01_final
2022-03-26 11:34:57	ga_s2am_ard_3-2-1_51JWL_2022-03-26_final
2022-04-18 11:44:24	ga_s2am_ard_3-2-1_50KQU_2022-04-18_final
2022-05-12 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2022-05-12_final
2022-05-28 11:44:24	ga_s2am_ard_3-2-1_51KTP_2022-05-28_final
2022-06-06 12:15:28	ga_s2am_ard_3-2-1_49JGK_2022-06-06_final
2022-07-18 11:14:35	ga_s2am_ard_3-2-1_51JZN_2022-07-18_final
2022-08-16 11:46:35	ga_s2am_ard_3-2-1_50JNL_2022-08-16_final
2022-09-15 11:46:22	ga_s2am_ard_3-2-1_50JMM_2022-09-15_final.stac-item
2022-09-22 11:37:04	ga_s2am_ard_3-2-1_51HUC_2022-09-22_final.stac-item
2022-10-02 11:37:08	ga_s2am_ard_3-2-1_51HTC_2022-10-02_final.stac-item
2022-10-15 13:21:48	ga_s2am_ard_3-2-1_47LKG_2022-10-15_interim.stac-item
2022-11-11 11:36:35	ga_s2am_ard_3-2-1_51HTE_2022-11-11_final.stac-item
2022-11-11 11:36:41	ga_s2am_ard_3-2-1_50HPK_2022-11-11_final.stac-item
2022-11-17 13:31:36	ga_s2am_ard_3-2-1_46LHN_2022-11-17_interim.stac-item
2022-11-25 11:16:22	ga_s2am_ard_3-2-1_51HYE_2022-11-25_final.stac-item
2022-12-11 11:33:45	ga_s2am_ard_3-2-1_51KVR_2022-12-11_final.stac-item
2022-12-28 11:24:53	ga_s2am_ard_3-2-1_51JYL_2022-12-28_final.stac-item
2022-12-31 11:32:18	ga_s2am_ard_3-2-1_51KVB_2022-12-31_final.stac-item
2023-01-04 11:14:22	ga_s2am_ard_3-2-1_51JZN_2023-01-04_final.stac-item
2023-02-18 12:06:06	ga_s2am_ard_3-2-1_50JKM_2023-02-18_final.stac-item
2023-04-13 11:44:02	ga_s2am_ard_3-2-1_50KRV_2023-04-13_final.stac-item
2023-05-06 11:57:13	ga_s2am_ard_3-2-1_50HKH_2023-05-06_nrt.stac-item
2023-06-09 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-09_final.stac-item
2023-06-18 12:06:06	ga_s2am_ard_3-2-1_50JKN_2023-06-18_final.stac-item
2023-06-19 11:34:29	ga_s2am_ard_3-2-1_51JWN_2023-06-19_final.stac-item
2023-06-26 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2023-06-26_final.stac-item
2023-08-01 11:44:11	ga_s2am_ard_3-2-1_50KQV_2023-08-01_final.stac-item
2023-10-10 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-10-10_final.stac-item
2023-11-12 11:57:12	ga_s2am_ard_3-2-1_50HKH_2023-11-12_nrt.stac-item
2023-12-12 11:56:09	ga_s2am_ard_3-2-1_50JKM_2023-12-12_final.stac-item
2024-02-14 11:32:30	ga_s2am_ard_3-2-1_51KVA_2024-02-14_final.stac-item
2024-02-14 11:32:52	ga_s2am_ard_3-2-1_51KVU_2024-02-14_final.stac-item
2024-03-01 11:57:14	ga_s2am_ard_3-2-1_49HGC_2024-03-01_nrt.stac-item
2024-03-08 11:44:35	ga_s2am_ard_3-2-1_50JQT_2024-03-08_final.stac-item
2024-03-19 11:15:40	ga_s2am_ard_3-2-1_51JYH_2024-03-19_final.stac-item
2024-04-07 11:42:26	ga_s2am_ard_3-2-1_51KVA_2024-04-07_final.stac-item
2024-04-07 11:43:12	ga_s2am_ard_3-2-1_51KTT_2024-04-07_final.stac-item
2024-04-23 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2024-04-23_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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