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_51HVC_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_52KBV_2015-11-25_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KEA_2015-12-22_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KHB_2015-12-29_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JCL_2016-06-06_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JLM_2016-07-10_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_50KMA_2016-07-24_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JMM_2016-08-20_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52KEC_2016-09-14_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JDN_2016-09-14_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KUA_2017-02-03_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JTK_2017-04-21_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_51KUT_2017-07-03_final
2017-08-14 10:43:08	ga_s2am_ard_3-2-1_53HLE_2017-08-14_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JUL_2017-09-08_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LZD_2017-11-07_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52LEH_2018-02-19_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51JVH_2018-03-04_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51LVC_2018-03-10_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51JUF_2018-03-27_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JMT_2018-05-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPK_2018-05-26_final
2018-08-23 10:17:05	ga_s2am_ard_3-2-1_53HQD_2018-08-23_final
2018-09-28 10:37:23	ga_s2am_ard_3-2-1_53JKJ_2018-09-28_final
2018-11-22 11:36:31	ga_s2am_ard_3-2-1_50HPK_2018-11-22_final
2019-01-28 11:23:22	ga_s2am_ard_3-2-1_51KYS_2019-01-28_final
2019-02-07 11:24:41	ga_s2am_ard_3-2-1_51JWM_2019-02-07_final
2019-03-11 10:25:59	ga_s2am_ard_3-2-1_53HQE_2019-03-11_final
2019-03-31 10:26:47	ga_s2am_ard_3-2-1_53HQB_2019-03-31_final
2019-04-21 11:32:35	ga_s2am_ard_3-2-1_51KVA_2019-04-21_final
2019-05-24 11:45:47	ga_s2am_ard_3-2-1_51JTH_2019-05-24_final
2019-05-28 11:24:35	ga_s2am_ard_3-2-1_51JZM_2019-05-28_final
2019-06-23 11:44:53	ga_s2am_ard_3-2-1_50JQS_2019-06-23_final
2019-07-27 11:23:33	ga_s2am_ard_3-2-1_51KXS_2019-07-27_final
2019-07-30 11:32:24	ga_s2am_ard_3-2-1_51KVB_2019-07-30_final
2019-08-23 11:16:46	ga_s2am_ard_3-2-1_51HWD_2019-08-23_final
2019-09-15 11:26:31	ga_s2am_ard_3-2-1_51HUE_2019-09-15_final
2019-11-27 11:33:45	ga_s2am_ard_3-2-1_51KVR_2019-11-27_final
2019-12-09 10:36:43	ga_s2am_ard_3-2-1_53HPB_2019-12-09_final
2020-01-09 11:44:20	ga_s2am_ard_3-2-1_50JRT_2020-01-09_final
2020-02-22 11:25:33	ga_s2am_ard_3-2-1_51JXH_2020-02-22_final
2020-03-03 11:22:22	ga_s2am_ard_3-2-1_51KYA_2020-03-03_final
2020-03-26 11:33:09	ga_s2am_ard_3-2-1_51KWT_2020-03-26_final
2020-04-02 11:26:43	ga_s2am_ard_3-2-1_51HUD_2020-04-02_final
2020-04-18 11:41:55	ga_s2am_ard_3-2-1_51LWC_2020-04-18_final
2020-05-04 12:05:44	ga_s2am_ard_3-2-1_50JKP_2020-05-04_final
2020-05-15 11:33:39	ga_s2am_ard_3-2-1_51KUS_2020-05-15_final
2020-09-22 11:33:28	ga_s2am_ard_3-2-1_51KXS_2020-09-22_final
2020-10-05 11:44:46	ga_s2am_ard_3-2-1_51JUM_2020-10-05_final
2020-11-01 11:33:28	ga_s2am_ard_3-2-1_51KXS_2020-11-01_final
2020-12-05 11:11:35	ga_s2am_ard_3-2-1_52LDJ_2020-12-05_final
2020-12-11 11:32:22	ga_s2am_ard_3-2-1_51KXA_2020-12-11_final
2021-01-19 10:26:55	ga_s2am_ard_3-2-1_53HNB_2021-01-19_final
2021-01-20 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-01-20_final
2021-03-18 11:23:38	ga_s2am_ard_3-2-1_51KYR_2021-03-18_final
2021-04-13 11:43:42	ga_s2am_ard_3-2-1_50KRA_2021-04-13_final
2021-06-02 11:43:48	ga_s2am_ard_3-2-1_50KRA_2021-06-02_final
2021-07-02 11:43:17	ga_s2am_ard_3-2-1_51KUT_2021-07-02_final
2021-10-17 11:34:42	ga_s2am_ard_3-2-1_51JTN_2021-10-17_final
2021-12-31 10:46:11	ga_s2am_ard_3-2-1_53HLE_2021-12-31_final
2022-02-04 11:33:41	ga_s2am_ard_3-2-1_51KWR_2022-02-04_final
2022-02-10 10:17:04	ga_s2am_ard_3-2-1_53HQA_2022-02-10_final
2022-02-15 11:05:52	ga_s2am_ard_3-2-1_52JCM_2022-02-15_final
2022-03-25 12:04:02	ga_s2am_ard_3-2-1_49KHR_2022-03-25_final
2022-04-02 11:25:50	ga_s2am_ard_3-2-1_51JVH_2022-04-02_final
2022-04-11 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-04-11_final
2022-06-05 11:01:10	ga_s2am_ard_3-2-1_52LGL_2022-06-05_final
2022-06-21 11:23:19	ga_s2am_ard_3-2-1_51KZT_2022-06-21_final
2022-07-15 11:06:22	ga_s2am_ard_3-2-1_52JBL_2022-07-15_final
2022-07-24 11:33:49	ga_s2am_ard_3-2-1_51KXR_2022-07-24_final
2022-08-16 11:46:50	ga_s2am_ard_3-2-1_50HNK_2022-08-16_final
2022-09-12 11:33:23	ga_s2am_ard_3-2-1_51KWT_2022-09-12_final.stac-item
2022-09-14 10:36:06	ga_s2am_ard_3-2-1_53HQE_2022-09-14_final.stac-item
2022-10-10 10:56:10	ga_s2am_ard_3-2-1_52JEL_2022-10-10_final.stac-item
2022-10-14 10:36:11	ga_s2am_ard_3-2-1_53HNE_2022-10-14_final.stac-item
2022-10-14 12:13:44	ga_s2am_ard_3-2-1_50KKB_2022-10-14_final.stac-item
2022-12-04 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2022-12-04_final.stac-item
2022-12-28 11:21:23	ga_s2am_ard_3-2-1_52LBK_2022-12-28_final.stac-item
2023-01-13 13:21:43	ga_s2am_ard_3-2-1_46LHM_2023-01-13_interim.stac-item
2023-03-24 11:45:42	ga_s2am_ard_3-2-1_51JTH_2023-03-24_final.stac-item
2023-04-14 11:15:10	ga_s2am_ard_3-2-1_51JYK_2023-04-14_final.stac-item
2023-05-14 11:15:43	ga_s2am_ard_3-2-1_51JXH_2023-05-14_final.stac-item
2023-06-20 11:05:26	ga_s2am_ard_3-2-1_52JCP_2023-06-20_final.stac-item
2023-07-09 11:36:52	ga_s2am_ard_3-2-1_51HTD_2023-07-09_final.stac-item
2023-07-17 10:54:52	ga_s2am_ard_3-2-1_52JFR_2023-07-17_final.stac-item
2023-07-30 11:02:49	ga_s2am_ard_3-2-1_52KGD_2023-07-30_final.stac-item
2023-09-13 11:57:02	ga_s2am_ard_3-2-1_50HMJ_2023-09-13_final.stac-item
2023-10-01 11:16:39	ga_s2am_ard_3-2-1_51HYD_2023-10-01_final.stac-item
2023-10-11 11:16:33	ga_s2am_ard_3-2-1_52HBJ_2023-10-11_nrt.stac-item
2023-10-29 10:36:28	ga_s2am_ard_3-2-1_53HLD_2023-10-29_final.stac-item
2023-12-08 10:35:57	ga_s2am_ard_3-2-1_53HPE_2023-12-08_final.stac-item
2023-12-25 10:26:33	ga_s2am_ard_3-2-1_53HPC_2023-12-25_final.stac-item
2024-01-05 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2024-01-05_final.stac-item
2024-01-19 11:11:21	ga_s2am_ard_3-2-1_52LFJ_2024-01-19_final.stac-item
2024-02-14 11:33:39	ga_s2am_ard_3-2-1_51KWR_2024-02-14_final.stac-item
2024-02-28 11:16:07	ga_s2am_ard_3-2-1_51JYF_2024-02-28_final.stac-item
2024-03-19 11:15:52	ga_s2am_ard_3-2-1_52JBM_2024-03-19_final.stac-item
2024-03-23 10:53:01	ga_s2am_ard_3-2-1_52KHC_2024-03-23_final.stac-item
2024-04-07 11:42:12	ga_s2am_ard_3-2-1_51KVB_2024-04-07_final.stac-item
2024-04-12 10:55:43	ga_s2am_ard_3-2-1_52JGM_2024-04-12_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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