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
2015-08-25 10:45:29	ga_s2am_ard_3-2-1_52JGM_2015-08-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KZQ_2015-11-25_final.stac-item
2015-12-06 10:52:27	ga_s2am_ard_3-2-1_53JMN_2015-12-06_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_54LWK_2016-03-06_final.stac-item
2016-03-10 10:00:28	ga_s2am_ard_3-2-1_54JXR_2016-03-10_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JKP_2016-03-16_final.stac-item
2016-05-02 10:12:26	ga_s2am_ard_3-2-1_54JXR_2016-05-02_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KXS_2016-05-23_final.stac-item
2016-07-13 10:52:20	ga_s2am_ard_3-2-1_52KHE_2016-07-13_final.stac-item
2016-07-24 10:20:03	ga_s2am_ard_3-2-1_54JUR_2016-07-24_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KNU_2016-08-19_final.stac-item
2016-08-30 10:15:54	ga_s2am_ard_3-2-1_54HVF_2016-08-30_final.stac-item
2016-09-05 10:28:01	ga_s2am_ard_3-2-1_53JNN_2016-09-05_final.stac-item
2016-09-09 10:11:04	ga_s2am_ard_3-2-1_54HTJ_2016-09-09_final.stac-item
2016-09-28 10:38:39	ga_s2am_ard_3-2-1_53KNT_2016-09-28_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50JPL_2016-12-12_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KWB_2016-12-25_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKM_2017-02-09_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51HVD_2017-02-27_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JFM_2017-03-14_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JML_2017-03-18_final
2017-07-12 10:32:01	ga_s2am_ard_3-2-1_53KQU_2017-07-12_final
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52JCM_2017-09-09_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50HMJ_2017-10-04_final
2017-10-27 10:17:05	ga_s2am_ard_3-2-1_54LXQ_2017-10-27_final
2017-11-25 10:52:12	ga_s2am_ard_3-2-1_53KKV_2017-11-25_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KDC_2018-02-19_final
2018-03-09 10:27:04	ga_s2am_ard_3-2-1_53KPP_2018-03-09_final
2018-03-23 10:07:02	ga_s2am_ard_3-2-1_54LYH_2018-03-23_final
2018-03-26 10:17:04	ga_s2am_ard_3-2-1_54LXK_2018-03-26_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51LWC_2018-04-16_final
2018-04-21 10:37:29	ga_s2am_ard_3-2-1_53JPN_2018-04-21_final
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_53JPL_2018-05-18_final
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KKB_2018-05-25_final.stac-item
2018-06-10 10:37:27	ga_s2am_ard_3-2-1_54KTG_2018-06-10_final
2018-09-18 10:37:23	ga_s2am_ard_3-2-1_52JGL_2018-09-18_final
2018-12-02 11:35:36	ga_s2am_ard_3-2-1_51JUH_2018-12-02_final
2019-01-31 11:31:32	ga_s2am_ard_3-2-1_51LZD_2019-01-31_final
2019-01-31 11:31:57	ga_s2am_ard_3-2-1_51LWC_2019-01-31_final
2019-02-04 11:15:39	ga_s2am_ard_3-2-1_51JXH_2019-02-04_final
2019-04-29 10:53:43	ga_s2am_ard_3-2-1_53KLQ_2019-04-29_final
2019-06-08 10:52:11	ga_s2am_ard_3-2-1_53KMA_2019-06-08_final
2019-07-26 10:14:48	ga_s2am_ard_3-2-1_54JWQ_2019-07-26_final
2019-11-28 11:02:25	ga_s2am_ard_3-2-1_52KHE_2019-11-28_final
2020-01-03 11:25:55	ga_s2am_ard_3-2-1_51JVG_2020-01-03_final
2020-01-16 11:31:12	ga_s2am_ard_3-2-1_52LBK_2020-01-16_final
2020-01-24 10:53:04	ga_s2am_ard_3-2-1_53KLS_2020-01-24_final
2020-02-10 10:43:55	ga_s2am_ard_3-2-1_53JPN_2020-02-10_final
2020-03-05 10:24:14	ga_s2am_ard_3-2-1_53JRM_2020-03-05_final
2020-04-05 11:35:59	ga_s2am_ard_3-2-1_51JTG_2020-04-05_final
2020-04-18 10:07:41	ga_s2am_ard_3-2-1_54HWC_2020-04-18_final
2020-05-25 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-05-25_final
2020-05-25 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-05-25_final
2020-05-26 11:03:22	ga_s2am_ard_3-2-1_52KFB_2020-05-26_final
2020-07-26 10:34:13	ga_s2am_ard_3-2-1_53JPN_2020-07-26_final
2020-08-16 10:07:03	ga_s2am_ard_3-2-1_54HWF_2020-08-16_final
2020-10-24 10:32:12	ga_s2am_ard_3-2-1_54KVE_2020-10-24_final
2020-10-24 10:34:52	ga_s2am_ard_3-2-1_53JQK_2020-10-24_final
2020-12-21 11:31:59	ga_s2am_ard_3-2-1_51LWC_2020-12-21_final
2020-12-23 10:33:19	ga_s2am_ard_3-2-1_53KQR_2020-12-23_final
2021-02-05 10:11:26	ga_s2am_ard_3-2-1_54LYH_2021-02-05_final
2021-04-20 09:58:00	ga_s2am_ard_3-2-1_54GYA_2021-04-20_final
2021-05-03 11:44:39	ga_s2am_ard_3-2-1_51JUM_2021-05-03_final
2021-05-30 11:34:59	ga_s2am_ard_3-2-1_51JVL_2021-05-30_final
2021-08-10 10:31:45	ga_s2am_ard_3-2-1_54KVG_2021-08-10_final
2021-11-07 11:04:18	ga_s2am_ard_3-2-1_52JFT_2021-11-07_final
2021-11-10 11:15:56	ga_s2am_ard_3-2-1_51JYG_2021-11-10_final
2021-12-09 11:46:34	ga_s2am_ard_3-2-1_50HQK_2021-12-09_final
2022-01-16 11:02:41	ga_s2am_ard_3-2-1_52KHD_2022-01-16_final
2022-02-09 10:41:29	ga_s2am_ard_3-2-1_53LND_2022-02-09_final
2022-04-04 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2022-04-04_final
2022-05-02 11:24:37	ga_s2am_ard_3-2-1_52JBS_2022-05-02_final
2022-05-21 10:15:14	ga_s2am_ard_3-2-1_54JXN_2022-05-21_final
2022-06-01 11:22:12	ga_s2am_ard_3-2-1_52KCG_2022-06-01_final
2022-06-03 10:25:07	ga_s2am_ard_3-2-1_54JUP_2022-06-03_final
2022-06-18 11:14:06	ga_s2am_ard_3-2-1_52KBV_2022-06-18_final
2022-08-12 10:20:51	ga_s2am_ard_3-2-1_54LYL_2022-08-12_final
2022-09-11 10:24:00	ga_s2am_ard_3-2-1_54KTU_2022-09-11_final.stac-item
2022-09-11 10:25:35	ga_s2am_ard_3-2-1_53JQH_2022-09-11_final.stac-item
2022-10-08 10:14:31	ga_s2am_ard_3-2-1_54JXR_2022-10-08_final.stac-item
2022-10-14 10:36:00	ga_s2am_ard_3-2-1_53JMF_2022-10-14_final.stac-item
2022-12-14 10:06:57	ga_s2am_ard_3-2-1_54HWF_2022-12-14_final.stac-item
2023-01-08 10:52:14	ga_s2am_ard_3-2-1_53KKA_2023-01-08_final.stac-item
2023-01-28 10:55:11	ga_s2am_ard_3-2-1_52JGP_2023-01-28_final.stac-item
2023-02-05 10:12:50	ga_s2am_ard_3-2-1_54KZB_2023-02-05_final.stac-item
2023-03-31 11:34:47	ga_s2am_ard_3-2-1_50JRS_2023-03-31_final.stac-item
2023-04-14 11:11:27	ga_s2am_ard_3-2-1_52LGJ_2023-04-14_final.stac-item
2023-05-06 11:55:39	ga_s2am_ard_3-2-1_50JMP_2023-05-06_final.stac-item
2023-06-29 11:33:17	ga_s2am_ard_3-2-1_51KWT_2023-06-29_final.stac-item
2023-08-20 12:14:37	ga_s2am_ard_3-2-1_49KFP_2023-08-20_nrt.stac-item
2023-10-16 10:19:54	ga_s2am_ard_3-2-1_54LYP_2023-10-16_final.stac-item
2024-01-07 10:33:02	ga_s2am_ard_3-2-1_53KQS_2024-01-07_final.stac-item
2024-01-16 11:01:19	ga_s2am_ard_3-2-1_53LKD_2024-01-16_final.stac-item
2024-01-21 10:12:03	ga_s2am_ard_3-2-1_54KYE_2024-01-21_final.stac-item
2024-02-02 10:52:27	ga_s2am_ard_3-2-1_52KHE_2024-02-02_final.stac-item
2024-02-03 10:21:11	ga_s2am_ard_3-2-1_54LWJ_2024-02-03_final.stac-item
2024-02-29 10:43:26	ga_s2am_ard_3-2-1_53KMR_2024-02-29_final.stac-item
2024-02-29 10:43:45	ga_s2am_ard_3-2-1_53KLQ_2024-02-29_final.stac-item
2024-03-04 10:20:28	ga_s2am_ard_3-2-1_54LXM_2024-03-04_final.stac-item
2024-03-17 10:32:18	ga_s2am_ard_3-2-1_54KTE_2024-03-17_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