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_51KXR_2015-11-25_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JBS_2016-01-11_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-03-06_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KWT_2016-05-16_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2016-06-24_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JVN_2016-06-25_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51JUN_2016-07-08_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50JPL_2016-10-03_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JBP_2016-12-26_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KWP_2017-01-08_final
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JEL_2017-01-09_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HUE_2017-01-18_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JCM_2017-07-11_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KYS_2017-07-17_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JNS_2017-12-03_final
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-12-29_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51KXT_2018-02-12_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51JUN_2018-02-18_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51HXD_2018-02-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51LYD_2018-02-25_final
2018-04-20 11:15:50	ga_s2am_ard_3-2-1_51HYD_2018-04-20_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KWS_2018-04-26_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKT_2018-06-04_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWN_2018-06-05_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYK_2018-06-19_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JBR_2018-06-19_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KXS_2018-07-15_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HQK_2018-08-04_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51KXP_2018-09-30_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JVL_2018-10-10_final
2018-12-22 11:31:40	ga_s2am_ard_3-2-1_51LZC_2018-12-22_final
2019-01-15 11:16:33	ga_s2am_ard_3-2-1_51HYD_2019-01-15_final
2019-03-08 11:55:50	ga_s2am_ard_3-2-1_50JLN_2019-03-08_final
2019-03-25 11:43:31	ga_s2am_ard_3-2-1_51KTS_2019-03-25_final
2019-03-25 11:44:30	ga_s2am_ard_3-2-1_51JTN_2019-03-25_final
2019-05-25 11:16:44	ga_s2am_ard_3-2-1_51HXD_2019-05-25_final
2019-06-09 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-06-09_final
2020-02-25 11:35:54	ga_s2am_ard_3-2-1_51JUG_2020-02-25_final
2020-03-23 11:24:40	ga_s2am_ard_3-2-1_52JBR_2020-03-23_final
2020-05-22 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-05-22_final
2020-05-25 11:34:45	ga_s2am_ard_3-2-1_51JWM_2020-05-25_final
2020-05-25 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-05-25_final
2020-05-26 11:04:27	ga_s2am_ard_3-2-1_52JDT_2020-05-26_final
2020-06-04 11:33:19	ga_s2am_ard_3-2-1_51KWT_2020-06-04_final
2020-07-17 11:44:50	ga_s2am_ard_3-2-1_51JTM_2020-07-17_final
2020-08-09 11:55:08	ga_s2am_ard_3-2-1_50JPR_2020-08-09_final
2020-09-12 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2020-09-12_final
2020-12-01 11:33:45	ga_s2am_ard_3-2-1_51KVR_2020-12-01_final
2020-12-28 11:21:58	ga_s2am_ard_3-2-1_51LYC_2020-12-28_final
2021-01-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-01-09_final
2021-01-27 11:22:12	ga_s2am_ard_3-2-1_51KYB_2021-01-27_final
2021-02-02 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-02-02_final
2021-03-10 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-03-10_final
2021-03-11 11:32:40	ga_s2am_ard_3-2-1_51KXV_2021-03-11_final
2021-03-28 11:23:08	ga_s2am_ard_3-2-1_51KYT_2021-03-28_final
2021-05-04 11:15:52	ga_s2am_ard_3-2-1_51JYG_2021-05-04_final
2021-06-09 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-06-09_final
2021-06-22 11:46:16	ga_s2am_ard_3-2-1_50JQL_2021-06-22_final
2021-07-13 11:14:41	ga_s2am_ard_3-2-1_51JZM_2021-07-13_final
2021-07-20 11:06:03	ga_s2am_ard_3-2-1_52JEL_2021-07-20_final
2021-08-01 11:43:06	ga_s2am_ard_3-2-1_51KTU_2021-08-01_final
2021-08-25 11:23:27	ga_s2am_ard_3-2-1_51KYS_2021-08-25_final
2021-09-04 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-09-04_final
2021-09-23 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-09-23_final
2021-09-27 11:36:23	ga_s2am_ard_3-2-1_50JQL_2021-09-27_final
2021-10-26 12:05:13	ga_s2am_ard_3-2-1_50JLR_2021-10-26_final
2021-11-19 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-11-19_final
2021-11-23 11:25:53	ga_s2am_ard_3-2-1_51JXG_2021-11-23_final
2021-12-06 11:32:54	ga_s2am_ard_3-2-1_51KXU_2021-12-06_final
2022-01-15 11:33:28	ga_s2am_ard_3-2-1_51KWS_2022-01-15_final
2022-01-16 11:06:11	ga_s2am_ard_3-2-1_52JBL_2022-01-16_final
2022-01-24 12:06:10	ga_s2am_ard_3-2-1_50JKM_2022-01-24_final
2022-03-26 11:34:46	ga_s2am_ard_3-2-1_51JVM_2022-03-26_final
2022-05-02 11:24:09	ga_s2am_ard_3-2-1_51KZP_2022-05-02_final
2022-06-24 11:36:39	ga_s2am_ard_3-2-1_50JPL_2022-06-24_final
2022-07-23 12:06:21	ga_s2am_ard_3-2-1_50JKM_2022-07-23_final
2022-07-30 11:55:56	ga_s2am_ard_3-2-1_50JKP_2022-07-30_final
2022-08-10 11:24:20	ga_s2am_ard_3-2-1_51KYP_2022-08-10_final
2022-11-11 11:36:32	ga_s2am_ard_3-2-1_51HUE_2022-11-11_final.stac-item
2022-11-18 11:26:45	ga_s2am_ard_3-2-1_51HVD_2022-11-18_final.stac-item
2022-12-11 11:37:01	ga_s2am_ard_3-2-1_51HTC_2022-12-11_final.stac-item
2022-12-31 11:33:41	ga_s2am_ard_3-2-1_51KWR_2022-12-31_final.stac-item
2023-01-28 10:56:03	ga_s2am_ard_3-2-1_52JEL_2023-01-28_final.stac-item
2023-05-13 11:43:11	ga_s2am_ard_3-2-1_51KVT_2023-05-13_final.stac-item
2023-06-16 11:23:29	ga_s2am_ard_3-2-1_51KYS_2023-06-16_final.stac-item
2023-07-19 11:33:31	ga_s2am_ard_3-2-1_51KWS_2023-07-19_final.stac-item
2023-07-26 11:21:16	ga_s2am_ard_3-2-1_51LZF_2023-07-26_nrt.stac-item
2023-07-26 11:23:30	ga_s2am_ard_3-2-1_51KYS_2023-07-26_final.stac-item
2023-08-15 11:21:16	ga_s2am_ard_3-2-1_51LZF_2023-08-15_nrt.stac-item
2023-08-18 11:32:38	ga_s2am_ard_3-2-1_51KVA_2023-08-18_final.stac-item
2023-09-10 11:43:30	ga_s2am_ard_3-2-1_51KVS_2023-09-10_final.stac-item
2023-09-30 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2023-09-30_final.stac-item
2023-11-16 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-11-16_final.stac-item
2023-12-10 11:16:32	ga_s2am_ard_3-2-1_51HYD_2023-12-10_final.stac-item
2023-12-26 11:32:41	ga_s2am_ard_3-2-1_51KWV_2023-12-26_final.stac-item
2023-12-29 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-12-29_final.stac-item
2024-01-29 11:14:18	ga_s2am_ard_3-2-1_51JZN_2024-01-29_final.stac-item
2024-03-25 11:32:56	ga_s2am_ard_3-2-1_51KXU_2024-03-25_final.stac-item
2024-03-29 12:50:59	ga_s2am_ard_3-2-1_48LWP_2024-03-29_final.stac-item
2024-04-23 12:05:32	ga_s2am_ard_3-2-1_49JGK_2024-04-23_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