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
2015-08-31 11:02:25	ga_s2am_ard_3-2-1_52KHB_2015-08-31_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KWP_2015-11-25_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HLK_2015-12-04_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HNJ_2016-01-20_final.stac-item
2016-04-07 11:02:08	ga_s2am_ard_3-2-1_52KEA_2016-04-07_final.stac-item
2016-04-12 11:56:25	ga_s2am_ard_3-2-1_50HMK_2016-04-12_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JWH_2017-01-18_final
2017-03-06 11:07:05	ga_s2am_ard_3-2-1_52KDG_2017-03-06_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_52LBJ_2017-04-28_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JYK_2017-06-27_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_49JGK_2017-07-19_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2017-07-29_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKS_2017-08-08_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JNL_2017-08-12_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JUF_2017-09-08_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HMJ_2017-09-21_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KPU_2017-12-03_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JLQ_2018-01-15_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXF_2018-02-22_final
2018-03-08 10:57:12	ga_s2am_ard_3-2-1_52KGC_2018-03-08_final
2018-04-17 11:04:48	ga_s2am_ard_3-2-1_52JCR_2018-04-17_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGN_2018-05-25_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49KGQ_2018-05-25_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KXQ_2018-06-05_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JLN_2018-07-04_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50JPM_2018-09-06_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_52KBU_2018-09-30_final
2018-11-11 12:05:10	ga_s2am_ard_3-2-1_49JGL_2018-11-11_final
2019-02-07 11:24:23	ga_s2am_ard_3-2-1_51JXN_2019-02-07_final
2019-03-04 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-03-04_final
2019-10-22 11:16:40	ga_s2am_ard_3-2-1_51HYD_2019-10-22_final
2020-01-07 11:03:43	ga_s2am_ard_3-2-1_52KEV_2020-01-07_final
2020-01-09 11:41:50	ga_s2am_ard_3-2-1_51LWC_2020-01-09_final
2020-02-12 11:26:40	ga_s2am_ard_3-2-1_51HUD_2020-02-12_final
2020-04-03 10:55:52	ga_s2am_ard_3-2-1_52JGL_2020-04-03_final
2020-04-21 11:57:07	ga_s2am_ard_3-2-1_50HMH_2020-04-21_final
2020-05-13 10:55:50	ga_s2am_ard_3-2-1_52JFM_2020-05-13_final
2020-05-25 11:35:56	ga_s2am_ard_3-2-1_50JQN_2020-05-25_final
2020-05-25 11:36:02	ga_s2am_ard_3-2-1_51JVG_2020-05-25_final
2020-05-28 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-05-28_final
2020-07-17 11:46:20	ga_s2am_ard_3-2-1_50JQL_2020-07-17_final
2020-07-23 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-07-23_final
2020-11-05 11:16:41	ga_s2am_ard_3-2-1_51HYD_2020-11-05_final
2020-11-11 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-11-11_final
2020-12-05 11:10:42	ga_s2am_ard_3-2-1_52LGM_2020-12-05_final
2020-12-21 11:33:00	ga_s2am_ard_3-2-1_51KVU_2020-12-21_final
2020-12-22 11:03:40	ga_s2am_ard_3-2-1_52KGV_2020-12-22_final
2021-01-24 11:12:18	ga_s2am_ard_3-2-1_52KEF_2021-01-24_final
2021-02-06 11:26:43	ga_s2am_ard_3-2-1_51HVD_2021-02-06_final
2021-03-05 11:16:20	ga_s2am_ard_3-2-1_52HBK_2021-03-05_final
2021-03-18 11:23:20	ga_s2am_ard_3-2-1_52KBB_2021-03-18_final
2021-04-20 11:36:27	ga_s2am_ard_3-2-1_51HTE_2021-04-20_final
2021-05-03 11:45:16	ga_s2am_ard_3-2-1_50JQQ_2021-05-03_final
2021-05-29 12:03:56	ga_s2am_ard_3-2-1_50KLA_2021-05-29_final
2021-06-08 12:03:38	ga_s2am_ard_3-2-1_50KMB_2021-06-08_final
2021-06-09 11:36:06	ga_s2am_ard_3-2-1_50JQM_2021-06-09_final
2021-07-29 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-29_final
2021-09-05 10:52:45	ga_s2am_ard_3-2-1_52KHD_2021-09-05_final
2021-10-17 11:33:50	ga_s2am_ard_3-2-1_51KVR_2021-10-17_final
2021-11-07 11:03:23	ga_s2am_ard_3-2-1_52KEB_2021-11-07_final
2022-01-19 11:14:35	ga_s2am_ard_3-2-1_52JCS_2022-01-19_final
2022-01-28 11:41:59	ga_s2am_ard_3-2-1_51LVC_2022-01-28_final
2022-02-01 11:22:41	ga_s2am_ard_3-2-1_51KYV_2022-02-01_final
2022-02-01 11:24:32	ga_s2am_ard_3-2-1_52JBS_2022-02-01_final
2022-02-27 11:42:12	ga_s2am_ard_3-2-1_51KWB_2022-02-27_final
2022-02-27 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-02-27_final
2022-03-19 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-03-19_final
2022-04-29 11:15:15	ga_s2am_ard_3-2-1_51JYK_2022-04-29_final
2022-05-12 11:23:31	ga_s2am_ard_3-2-1_52KCA_2022-05-12_final
2022-05-22 11:26:36	ga_s2am_ard_3-2-1_51HVE_2022-05-22_final
2022-05-29 11:14:13	ga_s2am_ard_3-2-1_52KCU_2022-05-29_final
2022-06-01 11:22:27	ga_s2am_ard_3-2-1_52KCF_2022-06-01_final
2022-06-18 11:15:11	ga_s2am_ard_3-2-1_52JDQ_2022-06-18_final
2022-07-08 11:16:50	ga_s2am_ard_3-2-1_51HYD_2022-07-08_final
2022-08-10 11:26:52	ga_s2am_ard_3-2-1_51HWD_2022-08-10_final
2022-09-05 11:44:52	ga_s2am_ard_3-2-1_51JUM_2022-09-05_final.stac-item
2022-10-03 11:05:15	ga_s2am_ard_3-2-1_52JCQ_2022-10-03_final.stac-item
2022-10-30 10:54:48	ga_s2am_ard_3-2-1_52JGR_2022-10-30_final.stac-item
2022-12-30 12:06:09	ga_s2am_ard_3-2-1_50JKM_2022-12-30_final.stac-item
2023-01-21 11:02:57	ga_s2am_ard_3-2-1_52KFC_2023-01-21_final.stac-item
2023-02-23 11:10:59	ga_s2am_ard_3-2-1_52LFL_2023-02-23_final.stac-item
2023-02-26 11:21:51	ga_s2am_ard_3-2-1_52LBH_2023-02-26_final.stac-item
2023-03-24 11:45:52	ga_s2am_ard_3-2-1_50JNN_2023-03-24_final.stac-item
2023-03-31 11:34:27	ga_s2am_ard_3-2-1_51JVN_2023-03-31_final.stac-item
2023-04-14 11:13:00	ga_s2am_ard_3-2-1_52KEC_2023-04-14_final.stac-item
2023-04-27 11:21:11	ga_s2am_ard_3-2-1_51LZF_2023-04-27_nrt.stac-item
2023-06-29 11:32:13	ga_s2am_ard_3-2-1_51KYB_2023-06-29_final.stac-item
2023-07-29 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-07-29_final.stac-item
2023-08-11 11:46:38	ga_s2am_ard_3-2-1_50HPK_2023-08-11_final.stac-item
2023-11-20 11:11:45	ga_s2am_ard_3-2-1_52LEH_2023-11-20_final.stac-item
2023-11-26 11:35:45	ga_s2am_ard_3-2-1_50JQN_2023-11-26_final.stac-item
2023-12-23 11:23:24	ga_s2am_ard_3-2-1_51KXS_2023-12-23_final.stac-item
2023-12-26 11:33:20	ga_s2am_ard_3-2-1_51KXS_2023-12-26_final.stac-item
2024-01-12 11:26:42	ga_s2am_ard_3-2-1_51HUD_2024-01-12_final.stac-item
2024-01-15 11:33:49	ga_s2am_ard_3-2-1_51KWQ_2024-01-15_final.stac-item
2024-01-25 11:34:43	ga_s2am_ard_3-2-1_50JRS_2024-01-25_final.stac-item
2024-02-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2024-02-26_final.stac-item
2024-03-05 11:36:27	ga_s2am_ard_3-2-1_50JPL_2024-03-05_final.stac-item
2024-03-15 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2024-03-15_final.stac-item
2024-03-23 10:54:02	ga_s2am_ard_3-2-1_52KGU_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