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
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KEV_2015-12-22_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_52LBH_2015-12-25_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKN_2016-01-16_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KYQ_2016-01-24_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JCP_2016-03-28_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52JDT_2016-05-07_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_52KEE_2016-12-16_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_52KCF_2016-12-29_final.stac-item
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_52KGV_2016-12-30_final
2017-01-13 10:32:45	ga_s2am_ard_3-2-1_53HLD_2017-01-13_final
2017-03-01 10:23:00	ga_s2am_ard_3-2-1_53HNC_2017-03-01_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51KZT_2017-04-08_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKM_2017-07-09_final
2017-11-01 11:07:12	ga_s2am_ard_3-2-1_52KEG_2017-11-01_final
2017-11-22 10:43:02	ga_s2am_ard_3-2-1_53HME_2017-11-22_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HVC_2017-12-04_final
2017-12-17 11:26:50	ga_s2am_ard_3-2-1_51LWC_2017-12-17_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52KHC_2018-01-07_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51JTJ_2018-02-15_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52LGL_2018-02-19_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_52JBM_2018-03-01_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52KCA_2018-03-21_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HQJ_2018-08-24_final
2018-08-31 11:16:57	ga_s2am_ard_3-2-1_51KZT_2018-08-31_final
2018-09-07 11:07:10	ga_s2am_ard_3-2-1_52KEB_2018-09-07_final
2019-03-19 11:24:02	ga_s2am_ard_3-2-1_52KBU_2019-03-19_final
2019-03-25 11:43:14	ga_s2am_ard_3-2-1_51KUT_2019-03-25_final
2019-03-26 11:16:40	ga_s2am_ard_3-2-1_51HXD_2019-03-26_final
2019-04-01 11:36:05	ga_s2am_ard_3-2-1_50JQM_2019-04-01_final
2019-06-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2019-06-29_final
2019-10-08 11:33:44	ga_s2am_ard_3-2-1_51KWR_2019-10-08_final
2019-10-21 11:42:12	ga_s2am_ard_3-2-1_51KWB_2019-10-21_final
2019-12-14 11:24:39	ga_s2am_ard_3-2-1_52JBR_2019-12-14_final
2020-01-09 11:44:25	ga_s2am_ard_3-2-1_51JUN_2020-01-09_final
2020-02-24 12:06:04	ga_s2am_ard_3-2-1_50JKM_2020-02-24_final
2020-04-25 11:36:16	ga_s2am_ard_3-2-1_51JUF_2020-04-25_final
2020-05-22 11:23:55	ga_s2am_ard_3-2-1_52KBV_2020-05-22_final
2020-07-01 11:26:02	ga_s2am_ard_3-2-1_51JWG_2020-07-01_final
2020-07-11 11:23:07	ga_s2am_ard_3-2-1_52KCC_2020-07-11_final
2020-07-17 11:44:50	ga_s2am_ard_3-2-1_50JRS_2020-07-17_final
2020-08-07 11:15:39	ga_s2am_ard_3-2-1_52JCN_2020-08-07_final
2020-09-09 11:23:25	ga_s2am_ard_3-2-1_51KZS_2020-09-09_final
2020-11-19 10:54:36	ga_s2am_ard_3-2-1_52JFS_2020-11-19_final
2020-12-04 11:41:54	ga_s2am_ard_3-2-1_51LWC_2020-12-04_final
2021-03-19 10:52:44	ga_s2am_ard_3-2-1_52KHD_2021-03-19_final
2021-03-31 11:31:46	ga_s2am_ard_3-2-1_51LZC_2021-03-31_final
2021-04-03 11:46:34	ga_s2am_ard_3-2-1_50HNK_2021-04-03_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-04-06_final
2021-04-11 11:03:44	ga_s2am_ard_3-2-1_52KEV_2021-04-11_final
2021-05-06 11:53:52	ga_s2am_ard_3-2-1_50KNA_2021-05-06_final
2021-05-14 11:15:32	ga_s2am_ard_3-2-1_52JCN_2021-05-14_final
2021-05-20 11:32:40	ga_s2am_ard_3-2-1_51KXV_2021-05-20_final
2021-05-20 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-05-20_final
2021-06-19 11:35:37	ga_s2am_ard_3-2-1_50JQP_2021-06-19_final
2021-07-13 11:15:03	ga_s2am_ard_3-2-1_52JDQ_2021-07-13_final
2021-08-02 11:13:29	ga_s2am_ard_3-2-1_52KBB_2021-08-02_final
2021-08-10 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-08-10_final
2021-09-08 11:02:48	ga_s2am_ard_3-2-1_52KFD_2021-09-08_final
2021-12-31 10:46:07	ga_s2am_ard_3-2-1_53HME_2021-12-31_final
2022-01-16 11:05:49	ga_s2am_ard_3-2-1_52JDM_2022-01-16_final
2022-02-14 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2022-02-14_final
2022-04-02 11:24:06	ga_s2am_ard_3-2-1_52KBU_2022-04-02_final
2022-04-05 11:32:45	ga_s2am_ard_3-2-1_51KWV_2022-04-05_final
2022-04-09 11:10:26	ga_s2am_ard_3-2-1_52LHN_2022-04-09_final
2022-05-18 11:47:20	ga_s2am_ard_3-2-1_50HLH_2022-05-18_final
2022-05-31 11:56:12	ga_s2am_ard_3-2-1_50JNM_2022-05-31_final
2022-07-30 11:55:56	ga_s2am_ard_3-2-1_50JKP_2022-07-30_final
2022-08-23 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-08-23_final
2022-09-06 11:13:37	ga_s2am_ard_3-2-1_52KBB_2022-09-06_final.stac-item
2022-09-29 11:23:28	ga_s2am_ard_3-2-1_51KZS_2022-09-29_final.stac-item
2022-11-22 11:04:29	ga_s2am_ard_3-2-1_52JFS_2022-11-22_final.stac-item
2022-12-31 11:32:39	ga_s2am_ard_3-2-1_51KXV_2022-12-31_final.stac-item
2023-01-17 11:25:09	ga_s2am_ard_3-2-1_51JWK_2023-01-17_final.stac-item
2023-01-18 10:54:25	ga_s2am_ard_3-2-1_52JGS_2023-01-18_final.stac-item
2023-01-27 11:22:39	ga_s2am_ard_3-2-1_51KYV_2023-01-27_final.stac-item
2023-01-28 10:55:54	ga_s2am_ard_3-2-1_52JFL_2023-01-28_final.stac-item
2023-02-03 11:16:19	ga_s2am_ard_3-2-1_52HBK_2023-02-03_final.stac-item
2023-02-18 12:03:41	ga_s2am_ard_3-2-1_50KKB_2023-02-18_final.stac-item
2023-02-28 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2023-02-28_final.stac-item
2023-03-15 11:13:51	ga_s2am_ard_3-2-1_51KZQ_2023-03-15_final.stac-item
2023-05-04 11:16:08	ga_s2am_ard_3-2-1_51JYF_2023-05-04_final.stac-item
2023-05-11 11:05:57	ga_s2am_ard_3-2-1_52JBM_2023-05-11_final.stac-item
2023-05-23 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2023-05-23_final.stac-item
2023-05-27 11:23:46	ga_s2am_ard_3-2-1_51KXR_2023-05-27_final.stac-item
2023-06-27 10:53:32	ga_s2am_ard_3-2-1_52KHA_2023-06-27_final.stac-item
2023-07-23 11:15:55	ga_s2am_ard_3-2-1_52JCM_2023-07-23_final.stac-item
2023-07-25 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-07-25_final.stac-item
2023-08-08 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2023-08-08_final.stac-item
2023-08-21 11:43:24	ga_s2am_ard_3-2-1_51KTT_2023-08-21_final.stac-item
2023-08-25 11:24:25	ga_s2am_ard_3-2-1_51JZN_2023-08-25_final.stac-item
2023-09-24 11:21:12	ga_s2am_ard_3-2-1_52LBL_2023-09-24_nrt.stac-item
2023-09-28 11:01:30	ga_s2am_ard_3-2-1_52LHJ_2023-09-28_final.stac-item
2023-10-01 11:13:17	ga_s2am_ard_3-2-1_52KEB_2023-10-01_final.stac-item
2023-10-03 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2023-10-03_final.stac-item
2023-10-23 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-10-23_final.stac-item
2023-11-30 11:16:14	ga_s2am_ard_3-2-1_51HYE_2023-11-30_final.stac-item
2023-12-19 11:46:19	ga_s2am_ard_3-2-1_50JNL_2023-12-19_final.stac-item
2024-03-15 11:35:18	ga_s2am_ard_3-2-1_51JTK_2024-03-15_final.stac-item
2024-03-25 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2024-03-25_final.stac-item
2024-04-24 11:34:38	ga_s2am_ard_3-2-1_51JTN_2024-04-24_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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