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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGN_2016-01-06_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDS_2016-03-28_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_51KXB_2016-10-03_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50JPL_2016-10-03_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51JYN_2016-12-09_final
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KYQ_2016-12-09_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLN_2016-12-11_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KNB_2017-01-30_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KUS_2017-02-13_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52KBB_2017-06-14_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51KXQ_2017-10-05_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HNK_2017-12-03_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51KXT_2018-03-14_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51KVR_2018-04-16_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_52KCC_2018-06-12_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFT_2018-08-02_final
2018-11-12 11:33:17	ga_s2am_ard_3-2-1_51KUT_2018-11-12_final
2018-11-19 11:26:16	ga_s2am_ard_3-2-1_51HXE_2018-11-19_final
2018-12-09 11:22:40	ga_s2am_ard_3-2-1_52KCD_2018-12-09_final
2019-01-25 11:13:30	ga_s2am_ard_3-2-1_52KDA_2019-01-25_final
2019-07-09 12:04:47	ga_s2am_ard_3-2-1_49JHN_2019-07-09_final
2019-07-14 11:13:28	ga_s2am_ard_3-2-1_52KEA_2019-07-14_final
2019-07-17 11:22:32	ga_s2am_ard_3-2-1_51KYA_2019-07-17_final
2019-07-21 11:03:17	ga_s2am_ard_3-2-1_52KEB_2019-07-21_final
2019-07-29 12:04:51	ga_s2am_ard_3-2-1_49JGN_2019-07-29_final
2019-08-13 11:13:08	ga_s2am_ard_3-2-1_52KDC_2019-08-13_final
2019-08-22 11:42:30	ga_s2am_ard_3-2-1_51KVA_2019-08-22_final
2019-09-02 11:13:01	ga_s2am_ard_3-2-1_52KEC_2019-09-02_final
2019-09-11 11:46:28	ga_s2am_ard_3-2-1_50HQK_2019-09-11_final
2020-01-19 11:43:30	ga_s2am_ard_3-2-1_51KVR_2020-01-19_final
2020-02-08 11:45:13	ga_s2am_ard_3-2-1_50JPQ_2020-02-08_final
2020-02-15 11:35:28	ga_s2am_ard_3-2-1_51JVH_2020-02-15_final
2020-03-03 11:22:18	ga_s2am_ard_3-2-1_52KBF_2020-03-03_final
2020-03-23 11:26:58	ga_s2am_ard_3-2-1_51HUC_2020-03-23_final
2020-04-09 11:13:31	ga_s2am_ard_3-2-1_52KDA_2020-04-09_final
2020-04-18 11:41:59	ga_s2am_ard_3-2-1_51LVC_2020-04-18_final
2020-07-24 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-07-24_final
2020-08-31 10:54:49	ga_s2am_ard_3-2-1_52JGR_2020-08-31_final
2020-10-12 11:34:11	ga_s2am_ard_3-2-1_51KXP_2020-10-12_final
2020-11-08 11:23:54	ga_s2am_ard_3-2-1_52KBV_2020-11-08_final
2020-12-05 11:13:46	ga_s2am_ard_3-2-1_52KDV_2020-12-05_final
2020-12-24 11:47:01	ga_s2am_ard_3-2-1_50HPH_2020-12-24_final
2021-01-04 11:13:55	ga_s2am_ard_3-2-1_52KBV_2021-01-04_final
2021-02-13 11:13:12	ga_s2am_ard_3-2-1_52KBC_2021-02-13_final
2021-03-14 11:41:18	ga_s2am_ard_3-2-1_51LUF_2021-03-14_final
2021-04-27 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2021-04-27_final
2021-05-07 11:25:37	ga_s2am_ard_3-2-1_51JXH_2021-05-07_final
2021-07-12 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2021-07-12_final
2021-09-07 11:32:37	ga_s2am_ard_3-2-1_51KYV_2021-09-07_final
2021-09-07 11:32:41	ga_s2am_ard_3-2-1_51KXV_2021-09-07_final
2021-09-24 11:22:56	ga_s2am_ard_3-2-1_51KZU_2021-09-24_final
2021-10-04 11:24:09	ga_s2am_ard_3-2-1_51KZP_2021-10-04_final
2021-10-05 10:54:52	ga_s2am_ard_3-2-1_52JFR_2021-10-05_final
2021-10-30 11:42:50	ga_s2am_ard_3-2-1_51KUV_2021-10-30_final
2021-11-17 11:06:18	ga_s2am_ard_3-2-1_52HDK_2021-11-17_final.stac-item
2021-12-13 11:24:15	ga_s2am_ard_3-2-1_51JZN_2021-12-13_final
2021-12-23 11:24:05	ga_s2am_ard_3-2-1_51KZP_2021-12-23_final
2021-12-30 11:12:51	ga_s2am_ard_3-2-1_52KDD_2021-12-30_final
2022-02-07 11:43:21	ga_s2am_ard_3-2-1_50KQC_2022-02-07_final
2022-02-11 11:25:56	ga_s2am_ard_3-2-1_51JWG_2022-02-11_final
2022-03-06 11:33:06	ga_s2am_ard_3-2-1_51KYT_2022-03-06_final
2022-04-09 11:15:13	ga_s2am_ard_3-2-1_52JDP_2022-04-09_final
2022-04-13 10:55:59	ga_s2am_ard_3-2-1_52JGL_2022-04-13_final
2022-04-25 11:33:00	ga_s2am_ard_3-2-1_51KXU_2022-04-25_final
2022-05-23 10:55:29	ga_s2am_ard_3-2-1_52JEP_2022-05-23_final
2022-06-18 11:15:01	ga_s2am_ard_3-2-1_52JCR_2022-06-18_final
2022-07-11 11:24:17	ga_s2am_ard_3-2-1_51KZP_2022-07-11_final
2022-07-28 11:16:17	ga_s2am_ard_3-2-1_51JYF_2022-07-28_final
2022-08-17 11:16:15	ga_s2am_ard_3-2-1_52JCL_2022-08-17_final
2022-10-29 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2022-10-29_final.stac-item
2022-11-14 11:43:06	ga_s2am_ard_3-2-1_51KTU_2022-11-14_final.stac-item
2023-02-09 11:36:42	ga_s2am_ard_3-2-1_51HUD_2023-02-09_final.stac-item
2023-02-16 11:25:53	ga_s2am_ard_3-2-1_51JWG_2023-02-16_final.stac-item
2023-03-05 11:13:04	ga_s2am_ard_3-2-1_52KCC_2023-03-05_final.stac-item
2023-03-11 11:32:39	ga_s2am_ard_3-2-1_51KWV_2023-03-11_final.stac-item
2023-03-20 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-03-20_final.stac-item
2023-03-31 11:32:30	ga_s2am_ard_3-2-1_51KVA_2023-03-31_final.stac-item
2023-04-09 12:04:27	ga_s2am_ard_3-2-1_50KKU_2023-04-09_final.stac-item
2023-04-29 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-04-29_final.stac-item
2023-07-09 11:35:13	ga_s2am_ard_3-2-1_51JWK_2023-07-09_final.stac-item
2023-08-11 11:41:23	ga_s2am_ard_3-2-1_51LUF_2023-08-11_final.stac-item
2023-08-18 11:32:38	ga_s2am_ard_3-2-1_51KVA_2023-08-18_final.stac-item
2023-08-22 11:15:16	ga_s2am_ard_3-2-1_51JYK_2023-08-22_final.stac-item
2023-10-24 11:24:04	ga_s2am_ard_3-2-1_52KBU_2023-10-24_final.stac-item
2023-10-26 12:04:43	ga_s2am_ard_3-2-1_50JKT_2023-10-26_final.stac-item
2023-10-29 12:14:30	ga_s2am_ard_3-2-1_49KFP_2023-10-29_nrt.stac-item
2023-11-20 11:12:17	ga_s2am_ard_3-2-1_52KDF_2023-11-20_final.stac-item
2023-11-26 11:37:15	ga_s2am_ard_3-2-1_50HPG_2023-11-26_final.stac-item
2023-11-27 11:06:11	ga_s2am_ard_3-2-1_52HDK_2023-11-27_final.stac-item
2023-12-03 11:24:08	ga_s2am_ard_3-2-1_51KWP_2023-12-03_final.stac-item
2023-12-16 11:34:10	ga_s2am_ard_3-2-1_51KVP_2023-12-16_final.stac-item
2023-12-17 11:04:17	ga_s2am_ard_3-2-1_52JDT_2023-12-17_final.stac-item
2024-01-19 11:12:25	ga_s2am_ard_3-2-1_52KFE_2024-01-19_final.stac-item
2024-01-28 11:46:38	ga_s2am_ard_3-2-1_50HQJ_2024-01-28_final.stac-item
2024-01-29 11:11:58	ga_s2am_ard_3-2-1_52KEG_2024-01-29_final.stac-item
2024-02-24 11:36:09	ga_s2am_ard_3-2-1_51JVF_2024-02-24_final.stac-item
2024-02-28 11:13:33	ga_s2am_ard_3-2-1_52KDA_2024-02-28_final.stac-item
2024-03-12 11:23:35	ga_s2am_ard_3-2-1_51KZR_2024-03-12_final.stac-item
2024-04-01 11:24:18	ga_s2am_ard_3-2-1_51JZN_2024-04-01_final.stac-item
2024-04-28 11:13:39	ga_s2am_ard_3-2-1_52KCA_2024-04-28_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