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
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKU_2016-06-04_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_52KGV_2016-06-23_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JKM_2016-06-24_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JGR_2016-06-26_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQL_2016-07-08_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HMJ_2016-09-26_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KQA_2016-10-29_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52JES_2016-12-23_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KDU_2017-01-12_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KVA_2017-02-03_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52KDD_2017-03-06_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52KEE_2017-03-06_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JPS_2017-04-27_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVK_2017-10-05_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HPH_2017-10-11_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWK_2018-01-13_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KEE_2018-01-30_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KRC_2018-02-18_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JYJ_2018-02-19_final
2018-03-08 10:57:12	ga_s2am_ard_3-2-1_52KGC_2018-03-08_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51LWC_2018-03-30_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50KMA_2018-04-05_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KUQ_2018-05-26_final
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51KWQ_2018-06-02_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLN_2018-06-04_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVG_2018-06-05_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYH_2018-06-19_final
2018-07-29 11:13:14	ga_s2am_ard_3-2-1_51HYD_2018-07-29_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-08-03_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51HUC_2018-08-31_final
2019-01-17 11:54:09	ga_s2am_ard_3-2-1_50KQU_2019-01-17_final
2019-04-15 11:14:48	ga_s2am_ard_3-2-1_52JDR_2019-04-15_final
2019-04-28 11:23:05	ga_s2am_ard_3-2-1_51KXU_2019-04-28_final
2019-05-25 11:16:40	ga_s2am_ard_3-2-1_51HYD_2019-05-25_final
2019-06-04 11:16:04	ga_s2am_ard_3-2-1_52JCL_2019-06-04_final
2019-10-05 11:21:56	ga_s2am_ard_3-2-1_51LZC_2019-10-05_final
2019-10-19 11:03:08	ga_s2am_ard_3-2-1_52KEC_2019-10-19_final
2019-10-19 11:03:57	ga_s2am_ard_3-2-1_52KDV_2019-10-19_final
2020-01-09 11:44:43	ga_s2am_ard_3-2-1_50JQS_2020-01-09_final
2020-02-09 11:16:29	ga_s2am_ard_3-2-1_51HYD_2020-02-09_final
2020-02-18 11:43:55	ga_s2am_ard_3-2-1_51KTQ_2020-02-18_final
2020-02-18 11:44:39	ga_s2am_ard_3-2-1_50JRS_2020-02-18_final
2020-02-29 11:12:13	ga_s2am_ard_3-2-1_52KEF_2020-02-29_final
2020-04-02 11:26:14	ga_s2am_ard_3-2-1_51JUF_2020-04-02_final
2020-04-05 11:36:30	ga_s2am_ard_3-2-1_50HQK_2020-04-05_final
2020-04-25 11:36:30	ga_s2am_ard_3-2-1_51HUE_2020-04-25_final
2020-05-08 11:47:18	ga_s2am_ard_3-2-1_50HLH_2020-05-08_final
2020-05-29 11:13:31	ga_s2am_ard_3-2-1_52KBB_2020-05-29_final
2020-07-08 11:13:28	ga_s2am_ard_3-2-1_52KDB_2020-07-08_final
2020-08-16 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-08-16_final
2020-08-23 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-08-23_final
2020-08-29 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-08-29_final
2020-09-11 12:05:33	ga_s2am_ard_3-2-1_49JGK_2020-09-11_final
2020-10-03 11:06:12	ga_s2am_ard_3-2-1_52JCL_2020-10-03_final
2020-10-16 11:14:43	ga_s2am_ard_3-2-1_52JBS_2020-10-16_final
2021-01-21 11:06:04	ga_s2am_ard_3-2-1_52JDL_2021-01-21_final
2021-01-23 11:42:32	ga_s2am_ard_3-2-1_51KUA_2021-01-23_final
2021-01-27 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-01-27_final
2021-03-01 11:34:58	ga_s2am_ard_3-2-1_51JVL_2021-03-01_final
2021-03-01 11:35:50	ga_s2am_ard_3-2-1_50JQN_2021-03-01_final
2021-03-01 11:36:31	ga_s2am_ard_3-2-1_51HTE_2021-03-01_final
2021-04-12 12:15:05	ga_s2am_ard_3-2-1_49JGL_2021-04-12_final
2021-06-23 11:16:13	ga_s2am_ard_3-2-1_51JXF_2021-06-23_final
2021-06-29 11:36:48	ga_s2am_ard_3-2-1_51HTD_2021-06-29_final
2021-07-02 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-07-02_final
2021-07-12 11:45:24	ga_s2am_ard_3-2-1_50JPQ_2021-07-12_final
2021-07-19 11:35:07	ga_s2am_ard_3-2-1_51JTL_2021-07-19_final
2021-07-29 11:36:46	ga_s2am_ard_3-2-1_51HUD_2021-07-29_final
2021-11-19 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-11-19_final
2021-12-03 11:26:43	ga_s2am_ard_3-2-1_51HVD_2021-12-03_final
2022-01-15 11:34:30	ga_s2am_ard_3-2-1_51JVN_2022-01-15_final
2022-02-02 10:54:44	ga_s2am_ard_3-2-1_52JGR_2022-02-02_final
2022-02-11 11:23:06	ga_s2am_ard_3-2-1_51KZT_2022-02-11_final
2022-05-31 11:54:19	ga_s2am_ard_3-2-1_50KMV_2022-05-31_final
2022-06-11 11:27:11	ga_s2am_ard_3-2-1_51HUC_2022-06-11_final
2022-06-17 11:47:18	ga_s2am_ard_3-2-1_50HNH_2022-06-17_final
2022-08-10 11:24:01	ga_s2am_ard_3-2-1_51KZQ_2022-08-10_final
2022-10-02 11:36:27	ga_s2am_ard_3-2-1_50JQL_2022-10-02_final.stac-item
2022-10-06 11:15:50	ga_s2am_ard_3-2-1_52JCM_2022-10-06_final.stac-item
2022-11-07 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-11-07_final.stac-item
2023-01-14 11:14:35	ga_s2am_ard_3-2-1_52JBS_2023-01-14_final.stac-item
2023-01-28 10:55:52	ga_s2am_ard_3-2-1_52JGL_2023-01-28_final.stac-item
2023-01-31 11:03:54	ga_s2am_ard_3-2-1_52KGU_2023-01-31_final.stac-item
2023-04-13 11:44:34	ga_s2am_ard_3-2-1_50JQT_2023-04-13_final.stac-item
2023-04-14 11:13:51	ga_s2am_ard_3-2-1_52KCV_2023-04-14_final.stac-item
2023-05-13 11:46:22	ga_s2am_ard_3-2-1_50JNL_2023-05-13_final.stac-item
2023-05-20 11:36:29	ga_s2am_ard_3-2-1_50JPL_2023-05-20_final.stac-item
2023-06-25 11:57:15	ga_s2am_ard_3-2-1_50HKH_2023-06-25_nrt.stac-item
2023-06-26 11:23:46	ga_s2am_ard_3-2-1_51KXR_2023-06-26_final.stac-item
2023-06-26 11:24:13	ga_s2am_ard_3-2-1_51KYP_2023-06-26_final.stac-item
2023-08-08 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2023-08-08_final.stac-item
2023-09-17 11:36:35	ga_s2am_ard_3-2-1_51HTE_2023-09-17_final.stac-item
2023-09-23 11:56:27	ga_s2am_ard_3-2-1_50JLL_2023-09-23_final.stac-item
2023-09-24 11:24:25	ga_s2am_ard_3-2-1_51JYN_2023-09-24_final.stac-item
2023-11-16 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2023-11-16_final.stac-item
2023-11-26 11:36:26	ga_s2am_ard_3-2-1_51HTE_2023-11-26_final.stac-item
2024-01-16 11:02:37	ga_s2am_ard_3-2-1_52KGD_2024-01-16_final.stac-item
2024-03-05 11:34:40	ga_s2am_ard_3-2-1_51JWM_2024-03-05_final.stac-item
2024-03-15 11:32:29	ga_s2am_ard_3-2-1_51KWA_2024-03-15_final.stac-item
2024-03-16 11:06:33	ga_s2am_ard_3-2-1_52HBJ_2024-03-16_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