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
2015-12-19 11:04:17	ga_s2am_ard_3-2-1_52KFB_2015-12-19_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KEV_2016-05-07_final.stac-item
2016-05-08 10:34:29	ga_s2am_ard_3-2-1_53HPD_2016-05-08_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KEE_2016-05-10_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_52JHS_2016-07-23_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JDN_2016-09-14_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HPB_2016-12-14_final
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JFM_2017-01-09_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KEC_2017-01-12_final
2017-01-19 10:52:06	ga_s2am_ard_3-2-1_52JHS_2017-01-19_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JVG_2017-01-31_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50KQC_2017-02-03_final
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53JPN_2017-03-04_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50HNK_2017-08-15_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_52JBR_2017-08-26_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_51HUE_2017-09-08_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JGL_2017-10-06_final
2017-11-16 10:23:25	ga_s2am_ard_3-2-1_53HNB_2017-11-16_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52HBK_2017-12-18_final
2017-12-28 11:02:45	ga_s2am_ard_3-2-1_52KGC_2017-12-28_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KPC_2018-01-12_final
2018-01-18 10:32:26	ga_s2am_ard_3-2-1_53JMJ_2018-01-18_final
2018-01-27 11:02:54	ga_s2am_ard_3-2-1_52JCL_2018-01-27_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JPS_2018-02-01_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JMT_2018-02-11_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51HUD_2018-02-22_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXG_2018-02-22_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51HUD_2018-03-27_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUK_2018-06-05_final
2018-08-26 10:27:07	ga_s2am_ard_3-2-1_53JPN_2018-08-26_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JMN_2018-08-30_final
2018-12-06 11:16:14	ga_s2am_ard_3-2-1_51HYE_2018-12-06_final
2018-12-14 10:35:58	ga_s2am_ard_3-2-1_53HNE_2018-12-14_final
2019-08-01 10:34:41	ga_s2am_ard_3-2-1_53JPL_2019-08-01_final
2019-08-09 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-08-09_final
2019-10-21 11:43:28	ga_s2am_ard_3-2-1_51KVS_2019-10-21_final
2019-12-07 11:36:47	ga_s2am_ard_3-2-1_51HUD_2019-12-07_final
2020-01-07 11:01:37	ga_s2am_ard_3-2-1_52LHH_2020-01-07_final
2020-02-26 11:01:09	ga_s2am_ard_3-2-1_52LHK_2020-02-26_final
2020-03-01 10:46:19	ga_s2am_ard_3-2-1_53HLD_2020-03-01_final
2020-05-24 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-05-24_final
2020-05-30 10:45:46	ga_s2am_ard_3-2-1_53JLG_2020-05-30_final
2020-07-06 10:36:51	ga_s2am_ard_3-2-1_53HPB_2020-07-06_final
2020-07-16 12:15:24	ga_s2am_ard_3-2-1_49JGK_2020-07-16_final
2020-08-25 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-08-25_final
2020-10-21 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-21_final
2020-11-15 11:16:40	ga_s2am_ard_3-2-1_51HYD_2020-11-15_final
2020-12-02 11:04:42	ga_s2am_ard_3-2-1_52JFR_2020-12-02_final
2020-12-11 11:33:38	ga_s2am_ard_3-2-1_51KWR_2020-12-11_final
2020-12-22 11:03:04	ga_s2am_ard_3-2-1_52KEC_2020-12-22_final
2021-01-04 11:15:33	ga_s2am_ard_3-2-1_52JCN_2021-01-04_final
2021-01-08 10:52:45	ga_s2am_ard_3-2-1_52KHD_2021-01-08_final
2021-01-10 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-01-10_final
2021-01-21 11:06:25	ga_s2am_ard_3-2-1_52HBK_2021-01-21_final
2021-01-30 11:32:08	ga_s2am_ard_3-2-1_51KYB_2021-01-30_final
2021-02-01 10:36:46	ga_s2am_ard_3-2-1_53HPB_2021-02-01_final
2021-02-03 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2021-02-03_final
2021-03-17 10:16:51	ga_s2am_ard_3-2-1_53HQB_2021-03-17_final
2021-03-27 11:54:31	ga_s2am_ard_3-2-1_50JPT_2021-03-27_final
2021-03-30 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-03-30_final
2021-08-06 10:55:51	ga_s2am_ard_3-2-1_52JFM_2021-08-06_final
2021-11-22 11:54:05	ga_s2am_ard_3-2-1_50KPV_2021-11-22_final
2021-12-08 10:36:34	ga_s2am_ard_3-2-1_53HNC_2021-12-08_final
2022-01-19 11:16:37	ga_s2am_ard_3-2-1_51HYD_2022-01-19_final
2022-01-24 10:26:32	ga_s2am_ard_3-2-1_53HQC_2022-01-24_final
2022-01-29 11:12:03	ga_s2am_ard_3-2-1_52KEG_2022-01-29_final
2022-02-01 11:21:24	ga_s2am_ard_3-2-1_52LBK_2022-02-01_final
2022-04-09 11:10:26	ga_s2am_ard_3-2-1_52LHN_2022-04-09_final
2022-05-02 11:24:24	ga_s2am_ard_3-2-1_51JZN_2022-05-02_final
2022-05-11 11:55:38	ga_s2am_ard_3-2-1_50JNP_2022-05-11_final
2022-06-27 11:42:34	ga_s2am_ard_3-2-1_51KWA_2022-06-27_final
2022-07-17 11:46:55	ga_s2am_ard_3-2-1_50HQJ_2022-07-17_final
2022-08-11 10:54:09	ga_s2am_ard_3-2-1_52KHU_2022-08-11_final
2022-10-19 11:25:36	ga_s2am_ard_3-2-1_51JYH_2022-10-19_final.stac-item
2022-11-16 10:44:09	ga_s2am_ard_3-2-1_53JNN_2022-11-16_final.stac-item
2022-11-23 10:36:46	ga_s2am_ard_3-2-1_53HPB_2022-11-23_final.stac-item
2022-11-26 10:45:03	ga_s2am_ard_3-2-1_53JLJ_2022-11-26_final.stac-item
2023-01-04 11:11:39	ga_s2am_ard_3-2-1_52LGH_2023-01-04_final.stac-item
2023-02-06 11:26:17	ga_s2am_ard_3-2-1_51JUF_2023-02-06_final.stac-item
2023-02-23 11:13:13	ga_s2am_ard_3-2-1_52KEB_2023-02-23_final.stac-item
2023-05-22 10:34:39	ga_s2am_ard_3-2-1_53JPL_2023-05-22_final.stac-item
2023-05-30 11:36:35	ga_s2am_ard_3-2-1_51HTE_2023-05-30_final.stac-item
2023-06-26 11:22:45	ga_s2am_ard_3-2-1_51KYV_2023-06-26_final.stac-item
2023-07-01 10:36:36	ga_s2am_ard_3-2-1_53HPC_2023-07-01_final.stac-item
2023-07-08 12:06:01	ga_s2am_ard_3-2-1_50JKN_2023-07-08_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 11:36:07	ga_s2am_ard_3-2-1_51JTG_2023-08-08_final.stac-item
2023-12-17 11:05:41	ga_s2am_ard_3-2-1_52JEM_2023-12-17_final.stac-item
2023-12-28 10:36:55	ga_s2am_ard_3-2-1_53HPA_2023-12-28_final.stac-item
2024-01-25 11:35:31	ga_s2am_ard_3-2-1_50JQP_2024-01-25_final.stac-item
2024-01-29 11:13:16	ga_s2am_ard_3-2-1_52KBB_2024-01-29_final.stac-item
2024-02-01 11:21:05	ga_s2am_ard_3-2-1_52LBL_2024-02-01_final.stac-item
2024-02-24 11:34:04	ga_s2am_ard_3-2-1_51KXP_2024-02-24_final.stac-item
2024-02-28 11:16:40	ga_s2am_ard_3-2-1_51HXD_2024-02-28_final.stac-item
2024-03-02 11:22:27	ga_s2am_ard_3-2-1_51KYA_2024-03-02_final.stac-item
2024-03-02 11:23:36	ga_s2am_ard_3-2-1_51KZR_2024-03-02_final.stac-item
2024-03-12 11:25:46	ga_s2am_ard_3-2-1_51JVH_2024-03-12_final.stac-item
2024-03-18 11:45:51	ga_s2am_ard_3-2-1_50JPN_2024-03-18_final.stac-item
2024-03-22 11:21:55	ga_s2am_ard_3-2-1_51LZC_2024-03-22_final.stac-item
2024-03-23 10:54:34	ga_s2am_ard_3-2-1_52JFS_2024-03-23_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

All years