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
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KCC_2016-05-20_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50HNK_2016-08-20_final.stac-item
2016-09-09 10:16:54	ga_s2am_ard_3-2-1_54HTF_2016-09-09_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_53KKS_2016-12-23_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52LDJ_2016-12-26_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KYB_2016-12-29_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KEC_2017-01-15_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KEU_2017-01-15_final
2017-01-16 10:38:05	ga_s2am_ard_3-2-1_53KNB_2017-01-16_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_53KKA_2017-02-11_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KBB_2017-04-15_final
2017-06-22 10:34:52	ga_s2am_ard_3-2-1_53JNK_2017-06-22_final
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_53JPN_2017-07-02_final
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KFC_2017-10-09_final
2017-11-28 11:02:54	ga_s2am_ard_3-2-1_52KGC_2017-11-28_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50JKM_2018-01-02_final
2018-01-14 10:47:17	ga_s2am_ard_3-2-1_53KKV_2018-01-14_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JVG_2018-02-22_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52JCM_2018-03-11_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVH_2018-06-05_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDR_2018-06-06_final
2018-08-06 10:27:08	ga_s2am_ard_3-2-1_53KPP_2018-08-06_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKM_2018-08-10_final
2018-08-16 10:36:26	ga_s2am_ard_3-2-1_53HPB_2018-08-16_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JVH_2018-08-31_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51JUF_2018-09-10_final
2018-09-28 10:37:23	ga_s2am_ard_3-2-1_53HME_2018-09-28_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53HND_2018-11-04_final
2019-01-05 11:16:17	ga_s2am_ard_3-2-1_51HYE_2019-01-05_final
2019-01-16 10:43:59	ga_s2am_ard_3-2-1_53JPN_2019-01-16_final
2019-01-28 11:22:49	ga_s2am_ard_3-2-1_51KZU_2019-01-28_final
2019-02-02 10:32:16	ga_s2am_ard_3-2-1_53KRV_2019-02-02_final
2019-03-02 11:32:56	ga_s2am_ard_3-2-1_51KVU_2019-03-02_final
2019-03-27 10:43:10	ga_s2am_ard_3-2-1_53KQR_2019-03-27_final
2019-04-19 10:56:07	ga_s2am_ard_3-2-1_52JEL_2019-04-19_final
2019-05-01 09:58:09	ga_s2am_ard_3-2-1_54GYA_2019-05-01_final
2019-06-08 10:50:51	ga_s2am_ard_3-2-1_53LPF_2019-06-08_final
2019-09-23 10:44:13	ga_s2am_ard_3-2-1_53JLN_2019-09-23_final
2020-02-08 11:45:28	ga_s2am_ard_3-2-1_50JPP_2020-02-08_final
2020-04-02 11:26:39	ga_s2am_ard_3-2-1_51HVD_2020-04-02_final
2020-04-06 11:05:56	ga_s2am_ard_3-2-1_52JEL_2020-04-06_final
2020-04-25 09:58:07	ga_s2am_ard_3-2-1_54GYA_2020-04-25_final
2020-05-25 11:35:14	ga_s2am_ard_3-2-1_51JWK_2020-05-25_final
2020-05-25 11:36:49	ga_s2am_ard_3-2-1_51HUD_2020-05-25_final
2020-08-03 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-08-03_final
2020-08-07 11:16:08	ga_s2am_ard_3-2-1_52JCL_2020-08-07_final
2020-09-28 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-09-28_final
2020-11-02 11:06:11	ga_s2am_ard_3-2-1_52JCL_2020-11-02_final
2020-11-19 10:52:44	ga_s2am_ard_3-2-1_53KLU_2020-11-19_final
2020-12-08 11:22:45	ga_s2am_ard_3-2-1_52KCD_2020-12-08_final
2020-12-21 11:34:04	ga_s2am_ard_3-2-1_51KXP_2020-12-21_final
2021-01-27 11:22:38	ga_s2am_ard_3-2-1_51KZV_2021-01-27_final
2021-02-02 11:46:08	ga_s2am_ard_3-2-1_50JNM_2021-02-02_final
2021-02-23 11:11:33	ga_s2am_ard_3-2-1_52LEJ_2021-02-23_final
2021-05-03 11:44:43	ga_s2am_ard_3-2-1_50JRS_2021-05-03_final
2021-05-14 11:16:22	ga_s2am_ard_3-2-1_51HYE_2021-05-14_final
2021-05-24 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-05-24_final
2021-05-30 11:33:23	ga_s2am_ard_3-2-1_51KUT_2021-05-30_final
2021-06-02 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-02_final
2021-06-09 11:34:15	ga_s2am_ard_3-2-1_51KVP_2021-06-09_final
2022-01-17 10:34:33	ga_s2am_ard_3-2-1_53JQL_2022-01-17_final
2022-01-20 10:43:05	ga_s2am_ard_3-2-1_53KPS_2022-01-20_final
2022-01-30 10:42:54	ga_s2am_ard_3-2-1_53KNT_2022-01-30_final
2022-02-03 10:26:59	ga_s2am_ard_3-2-1_53HPA_2022-02-03_final
2022-02-04 11:32:00	ga_s2am_ard_3-2-1_51LWC_2022-02-04_final
2022-02-28 11:12:06	ga_s2am_ard_3-2-1_52KEG_2022-02-28_final
2022-04-02 11:24:21	ga_s2am_ard_3-2-1_51JZN_2022-04-02_final
2022-05-09 11:12:57	ga_s2am_ard_3-2-1_52KCD_2022-05-09_final
2022-06-17 11:45:58	ga_s2am_ard_3-2-1_50JQN_2022-06-17_final
2022-06-29 10:43:36	ga_s2am_ard_3-2-1_53KNR_2022-06-29_final
2022-07-30 11:54:14	ga_s2am_ard_3-2-1_50KPV_2022-07-30_final
2022-08-11 10:54:38	ga_s2am_ard_3-2-1_53JKM_2022-08-11_final
2022-09-19 09:48:17	ga_s2am_ard_3-2-1_54GYA_2022-09-19_final.stac-item
2022-10-02 11:35:34	ga_s2am_ard_3-2-1_51JVJ_2022-10-02_final.stac-item
2022-10-02 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-10-02_final.stac-item
2022-10-04 10:34:25	ga_s2am_ard_3-2-1_53JQM_2022-10-04_final.stac-item
2022-10-28 10:17:08	ga_s2am_ard_3-2-1_53HQA_2022-10-28_final.stac-item
2022-12-21 11:32:24	ga_s2am_ard_3-2-1_51KXA_2022-12-21_final.stac-item
2022-12-22 11:01:26	ga_s2am_ard_3-2-1_52LHJ_2022-12-22_final.stac-item
2022-12-25 11:14:40	ga_s2am_ard_3-2-1_52JDR_2022-12-25_final.stac-item
2022-12-29 10:50:52	ga_s2am_ard_3-2-1_53LNF_2022-12-29_final.stac-item
2023-01-17 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2023-01-17_final.stac-item
2023-01-24 11:14:05	ga_s2am_ard_3-2-1_52KBU_2023-01-24_final.stac-item
2023-01-28 10:55:29	ga_s2am_ard_3-2-1_52JFN_2023-01-28_final.stac-item
2023-03-24 11:46:03	ga_s2am_ard_3-2-1_50JPM_2023-03-24_final.stac-item
2023-04-12 10:33:53	ga_s2am_ard_3-2-1_53KPP_2023-04-12_final.stac-item
2023-05-30 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-05-30_final.stac-item
2023-06-30 11:02:00	ga_s2am_ard_3-2-1_53KKB_2023-06-30_final.stac-item
2023-11-16 11:36:12	ga_s2am_ard_3-2-1_51JUF_2023-11-16_final.stac-item
2023-11-18 10:36:04	ga_s2am_ard_3-2-1_53HNE_2023-11-18_final.stac-item
2023-11-26 11:33:28	ga_s2am_ard_3-2-1_51KUS_2023-11-26_final.stac-item
2023-12-25 10:26:40	ga_s2am_ard_3-2-1_53HPC_2023-12-25_final.stac-item
2024-01-22 11:23:17	ga_s2am_ard_3-2-1_51KYS_2024-01-22_final.stac-item
2024-02-08 11:11:23	ga_s2am_ard_3-2-1_52LGJ_2024-02-08_final.stac-item
2024-02-16 10:32:42	ga_s2am_ard_3-2-1_53KRT_2024-02-16_final.stac-item
2024-03-10 10:42:44	ga_s2am_ard_3-2-1_53KQT_2024-03-10_final.stac-item
2024-03-12 11:21:53	ga_s2am_ard_3-2-1_52LBH_2024-03-12_final.stac-item
2024-03-19 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2024-03-19_final.stac-item
2024-03-20 10:43:20	ga_s2am_ard_3-2-1_53KPR_2024-03-20_final.stac-item
2024-03-27 10:31:36	ga_s2am_ard_3-2-1_53LRC_2024-03-27_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