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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_51HTE_2015-08-30_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JYN_2015-11-25_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KVB_2015-12-08_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KVB_2016-04-06_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KDV_2016-05-20_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52JFR_2016-09-01_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQH_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWB_2016-12-22_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KVV_2016-12-25_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JVG_2017-01-31_final
2017-02-05 10:42:31	ga_s2am_ard_3-2-1_52JGL_2017-02-05_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGR_2017-02-12_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVA_2017-02-13_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JKN_2017-03-18_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HYD_2017-04-15_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KCU_2017-04-15_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JTH_2017-04-21_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HPJ_2017-08-19_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JVG_2017-09-08_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KQV_2017-12-03_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KDA_2018-01-30_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50JPL_2018-04-16_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRB_2018-06-08_final
2018-07-15 11:26:22	ga_s2am_ard_3-2-1_51KXT_2018-07-15_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JQM_2018-08-07_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-16_final
2018-11-09 11:24:03	ga_s2am_ard_3-2-1_51KYP_2018-11-09_final
2018-11-23 11:05:41	ga_s2am_ard_3-2-1_52JDM_2018-11-23_final
2018-11-26 11:16:29	ga_s2am_ard_3-2-1_51HYD_2018-11-26_final
2018-12-12 11:36:40	ga_s2am_ard_3-2-1_50HQJ_2018-12-12_final
2019-03-22 11:32:24	ga_s2am_ard_3-2-1_51KXA_2019-03-22_final
2019-04-11 11:31:37	ga_s2am_ard_3-2-1_51LZD_2019-04-11_final
2019-04-21 11:32:58	ga_s2am_ard_3-2-1_51KXU_2019-04-21_final
2019-05-24 11:45:47	ga_s2am_ard_3-2-1_51JTH_2019-05-24_final
2019-06-04 11:16:08	ga_s2am_ard_3-2-1_52JBL_2019-06-04_final
2020-01-06 11:31:33	ga_s2am_ard_3-2-1_51LYD_2020-01-06_final
2020-01-31 10:45:40	ga_s2am_ard_3-2-1_52JGM_2020-01-31_final
2020-02-12 11:22:44	ga_s2am_ard_3-2-1_52KBD_2020-02-12_final
2020-02-19 11:15:36	ga_s2am_ard_3-2-1_51JXH_2020-02-19_final
2020-03-03 11:22:58	ga_s2am_ard_3-2-1_52KCC_2020-03-03_final
2020-04-02 11:26:28	ga_s2am_ard_3-2-1_51HUE_2020-04-02_final
2020-04-18 11:45:44	ga_s2am_ard_3-2-1_51JTH_2020-04-18_final
2020-04-26 11:06:05	ga_s2am_ard_3-2-1_52JDL_2020-04-26_final
2020-05-08 11:43:19	ga_s2am_ard_3-2-1_51KUT_2020-05-08_final
2020-06-04 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-06-04_final
2020-06-30 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-06-30_final
2020-07-21 11:23:08	ga_s2am_ard_3-2-1_52KCC_2020-07-21_final
2020-08-06 11:43:21	ga_s2am_ard_3-2-1_51KUT_2020-08-06_final
2020-08-13 11:33:29	ga_s2am_ard_3-2-1_51KXS_2020-08-13_final
2020-09-24 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-09-24_final
2020-11-01 11:35:35	ga_s2am_ard_3-2-1_51JUJ_2020-11-01_final
2020-11-25 11:14:30	ga_s2am_ard_3-2-1_51JYN_2020-11-25_final
2021-01-20 11:32:26	ga_s2am_ard_3-2-1_51KXA_2021-01-20_final
2021-04-27 11:21:22	ga_s2am_ard_3-2-1_51LZE_2021-04-27_final
2021-05-13 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-05-13_final
2021-06-08 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-06-08_final
2021-06-09 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-06-09_final
2021-06-16 11:24:19	ga_s2am_ard_3-2-1_51JZN_2021-06-16_final
2021-07-07 10:54:29	ga_s2am_ard_3-2-1_52JHS_2021-07-07_final
2021-11-07 11:04:18	ga_s2am_ard_3-2-1_52JFT_2021-11-07_final
2021-12-10 11:13:12	ga_s2am_ard_3-2-1_52KBC_2021-12-10_final
2022-01-14 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-01-14_final
2022-01-15 11:33:10	ga_s2am_ard_3-2-1_51KXT_2022-01-15_final
2022-02-14 11:33:45	ga_s2am_ard_3-2-1_51KVR_2022-02-14_final
2022-03-03 11:23:39	ga_s2am_ard_3-2-1_51KZR_2022-03-03_final
2022-04-17 12:13:58	ga_s2am_ard_3-2-1_50KKA_2022-04-17_final
2022-05-18 11:43:49	ga_s2am_ard_3-2-1_51KUR_2022-05-18_final
2022-05-24 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-05-24_final
2022-06-01 11:26:19	ga_s2am_ard_3-2-1_51JWF_2022-06-01_final
2022-06-27 11:43:24	ga_s2am_ard_3-2-1_51KVT_2022-06-27_final
2022-06-27 11:43:27	ga_s2am_ard_3-2-1_51KUT_2022-06-27_final
2022-07-24 11:33:38	ga_s2am_ard_3-2-1_51KWS_2022-07-24_final
2022-07-30 11:54:10	ga_s2am_ard_3-2-1_50KQV_2022-07-30_final
2022-08-06 11:47:18	ga_s2am_ard_3-2-1_50HNH_2022-08-06_final
2022-08-16 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-08-16_final
2022-10-02 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-10-02_final.stac-item
2022-10-03 11:03:56	ga_s2am_ard_3-2-1_52KEV_2022-10-03_final.stac-item
2022-10-03 11:05:59	ga_s2am_ard_3-2-1_52JCM_2022-10-03_final.stac-item
2022-11-21 11:32:01	ga_s2am_ard_3-2-1_51LWC_2022-11-21_final.stac-item
2022-12-15 11:14:41	ga_s2am_ard_3-2-1_52JCR_2022-12-15_final.stac-item
2023-01-07 11:21:58	ga_s2am_ard_3-2-1_51LYC_2023-01-07_final.stac-item
2023-02-20 11:06:32	ga_s2am_ard_3-2-1_52HBJ_2023-02-20_final.stac-item
2023-04-14 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-04-14_final.stac-item
2023-04-29 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-04-29_final.stac-item
2023-06-09 11:33:16	ga_s2am_ard_3-2-1_51KWT_2023-06-09_final.stac-item
2023-06-19 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2023-06-19_final.stac-item
2023-06-26 11:24:04	ga_s2am_ard_3-2-1_51KZP_2023-06-26_final.stac-item
2023-06-26 11:26:21	ga_s2am_ard_3-2-1_51JUF_2023-06-26_final.stac-item
2023-06-29 11:32:15	ga_s2am_ard_3-2-1_51KXB_2023-06-29_final.stac-item
2023-07-19 11:36:51	ga_s2am_ard_3-2-1_51HTD_2023-07-19_final.stac-item
2023-10-23 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-10-23_final.stac-item
2023-11-16 11:36:27	ga_s2am_ard_3-2-1_51HUE_2023-11-16_final.stac-item
2024-01-05 11:35:56	ga_s2am_ard_3-2-1_51JUG_2024-01-05_final.stac-item
2024-01-22 11:22:01	ga_s2am_ard_3-2-1_51KZB_2024-01-22_final.stac-item
2024-02-24 11:32:53	ga_s2am_ard_3-2-1_51KXU_2024-02-24_final.stac-item
2024-02-28 11:16:40	ga_s2am_ard_3-2-1_51HXD_2024-02-28_final.stac-item
2024-03-09 11:12:32	ga_s2am_ard_3-2-1_52KEE_2024-03-09_final.stac-item
2024-03-25 11:33:17	ga_s2am_ard_3-2-1_51KVT_2024-03-25_final.stac-item
2024-05-04 11:36:37	ga_s2am_ard_3-2-1_50HQK_2024-05-04_final.stac-item
2024-05-08 11:16:37	ga_s2am_ard_3-2-1_52HBJ_2024-05-08_nrt.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