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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JYN_2015-11-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KYU_2016-01-07_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_50KMA_2016-03-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JKN_2016-03-16_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_50JQL_2016-04-26_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KYS_2016-05-03_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JNL_2016-07-31_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JBQ_2016-12-26_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HQH_2017-02-10_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQN_2017-03-25_final
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52JBL_2017-06-21_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_51JXJ_2017-09-02_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51KZP_2017-12-11_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXL_2018-01-13_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXT_2018-02-02_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HYD_2018-03-11_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KCC_2018-05-23_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JML_2018-06-18_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKM_2018-07-04_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HUC_2018-09-30_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_52JDR_2018-10-07_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPH_2018-10-23_final
2019-01-01 11:32:48	ga_s2am_ard_3-2-1_51KXU_2019-01-01_final
2019-01-01 11:34:19	ga_s2am_ard_3-2-1_51JWN_2019-01-01_final
2019-01-18 11:24:19	ga_s2am_ard_3-2-1_51JYN_2019-01-18_final
2019-01-24 11:42:53	ga_s2am_ard_3-2-1_51KVU_2019-01-24_final
2019-02-04 11:15:59	ga_s2am_ard_3-2-1_52JCL_2019-02-04_final
2019-03-15 11:44:37	ga_s2am_ard_3-2-1_51JUM_2019-03-15_final
2019-03-21 12:05:10	ga_s2am_ard_3-2-1_50JKR_2019-03-21_final
2019-04-13 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-04-13_final
2019-04-22 11:06:09	ga_s2am_ard_3-2-1_52JCL_2019-04-22_final
2019-04-25 11:16:44	ga_s2am_ard_3-2-1_51HXD_2019-04-25_final
2019-05-27 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-05-27_final
2019-06-23 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2019-06-23_final
2019-08-16 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2019-08-16_final
2019-09-18 11:36:46	ga_s2am_ard_3-2-1_51HTD_2019-09-18_final
2020-01-09 11:43:41	ga_s2am_ard_3-2-1_51KTR_2020-01-09_final
2020-01-10 11:16:35	ga_s2am_ard_3-2-1_51HXD_2020-01-10_final
2020-01-13 11:24:31	ga_s2am_ard_3-2-1_51JYM_2020-01-13_final
2020-02-09 11:15:31	ga_s2am_ard_3-2-1_51JYH_2020-02-09_final
2020-02-28 11:46:38	ga_s2am_ard_3-2-1_50HQJ_2020-02-28_final
2020-03-16 11:36:43	ga_s2am_ard_3-2-1_51HTD_2020-03-16_final
2020-04-05 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-04-05_final
2020-05-22 11:22:47	ga_s2am_ard_3-2-1_51KYV_2020-05-22_final
2020-06-04 11:36:55	ga_s2am_ard_3-2-1_50HQJ_2020-06-04_final
2020-11-11 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2020-11-11_final
2021-02-16 11:24:14	ga_s2am_ard_3-2-1_51KWP_2021-02-16_final
2021-03-05 11:15:33	ga_s2am_ard_3-2-1_52JCN_2021-03-05_final
2021-03-21 11:31:52	ga_s2am_ard_3-2-1_51LYC_2021-03-21_final
2021-03-22 11:04:13	ga_s2am_ard_3-2-1_52JFT_2021-03-22_final
2021-04-10 11:35:29	ga_s2am_ard_3-2-1_51JTJ_2021-04-10_final
2021-05-04 11:15:52	ga_s2am_ard_3-2-1_51JYG_2021-05-04_final
2021-05-06 11:56:12	ga_s2am_ard_3-2-1_50JKM_2021-05-06_final
2021-05-17 11:25:16	ga_s2am_ard_3-2-1_51JVK_2021-05-17_final
2021-05-26 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-05-26_final
2021-05-30 11:34:26	ga_s2am_ard_3-2-1_51JWN_2021-05-30_final
2021-05-30 11:34:59	ga_s2am_ard_3-2-1_51JVL_2021-05-30_final
2021-07-22 11:46:04	ga_s2am_ard_3-2-1_50JQM_2021-07-22_final
2021-09-17 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2021-09-17_final
2021-10-20 11:45:49	ga_s2am_ard_3-2-1_51JTH_2021-10-20_final
2021-10-27 11:36:51	ga_s2am_ard_3-2-1_51HTD_2021-10-27_final
2021-11-06 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-11-06_final
2021-11-24 10:55:56	ga_s2am_ard_3-2-1_52JGL_2021-11-24_final
2021-12-10 11:16:35	ga_s2am_ard_3-2-1_51HYD_2021-12-10_final
2022-02-01 11:23:35	ga_s2am_ard_3-2-1_51KZR_2022-02-01_final
2022-03-26 11:35:07	ga_s2am_ard_3-2-1_51JTL_2022-03-26_final
2022-04-01 11:55:08	ga_s2am_ard_3-2-1_50JNR_2022-04-01_final
2022-04-17 12:14:30	ga_s2am_ard_3-2-1_49KGP_2022-04-17_final
2022-06-01 11:23:18	ga_s2am_ard_3-2-1_51KYT_2022-06-01_final
2022-06-02 10:55:57	ga_s2am_ard_3-2-1_52JEM_2022-06-02_final
2022-06-27 11:46:55	ga_s2am_ard_3-2-1_50HQJ_2022-06-27_final
2022-07-17 11:46:27	ga_s2am_ard_3-2-1_50JQL_2022-07-17_final
2022-07-20 11:56:19	ga_s2am_ard_3-2-1_50JMM_2022-07-20_final
2022-08-19 11:56:35	ga_s2am_ard_3-2-1_50JML_2022-08-19_final
2022-09-15 13:21:54	ga_s2am_ard_3-2-1_47LKG_2022-09-15_interim.stac-item
2022-10-02 11:31:13	ga_s2am_ard_3-2-1_51LZF_2022-10-02_final.stac-item
2022-10-13 11:06:39	ga_s2am_ard_3-2-1_52HBJ_2022-10-13_final.stac-item
2022-10-16 11:15:45	ga_s2am_ard_3-2-1_51JXH_2022-10-16_final.stac-item
2022-10-24 12:15:22	ga_s2am_ard_3-2-1_49JGK_2022-10-24_final.stac-item
2022-11-21 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-11-21_final.stac-item
2022-12-14 13:21:45	ga_s2am_ard_3-2-1_46LHM_2022-12-14_interim.stac-item
2023-01-26 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2023-01-26_final.stac-item
2023-01-26 11:55:39	ga_s2am_ard_3-2-1_50JLP_2023-01-26_final.stac-item
2023-02-23 11:16:24	ga_s2am_ard_3-2-1_51HXE_2023-02-23_final.stac-item
2023-03-21 11:35:40	ga_s2am_ard_3-2-1_51JVH_2023-03-21_final.stac-item
2023-04-10 11:32:22	ga_s2am_ard_3-2-1_51KYA_2023-04-10_final.stac-item
2023-04-14 11:14:23	ga_s2am_ard_3-2-1_51JZN_2023-04-14_final.stac-item
2023-04-14 11:14:38	ga_s2am_ard_3-2-1_52JBS_2023-04-14_final.stac-item
2023-05-24 11:16:40	ga_s2am_ard_3-2-1_51HYD_2023-05-24_final.stac-item
2023-06-26 11:23:39	ga_s2am_ard_3-2-1_51KZR_2023-06-26_final.stac-item
2023-09-13 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2023-09-13_final.stac-item
2023-09-14 11:23:04	ga_s2am_ard_3-2-1_51KXU_2023-09-14_final.stac-item
2023-09-18 11:06:36	ga_s2am_ard_3-2-1_52HBJ_2023-09-18_final.stac-item
2024-01-25 11:32:26	ga_s2am_ard_3-2-1_51KVA_2024-01-25_final.stac-item
2024-01-26 11:05:17	ga_s2am_ard_3-2-1_52JCP_2024-01-26_final.stac-item
2024-02-24 11:36:32	ga_s2am_ard_3-2-1_50HQK_2024-02-24_final.stac-item
2024-03-08 11:41:59	ga_s2am_ard_3-2-1_51LVC_2024-03-08_final.stac-item
2024-03-08 11:44:44	ga_s2am_ard_3-2-1_50JQS_2024-03-08_final.stac-item
2024-03-12 11:21:25	ga_s2am_ard_3-2-1_51LZE_2024-03-12_final.stac-item
2024-03-25 11:34:26	ga_s2am_ard_3-2-1_51JWN_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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