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
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KEB_2016-01-31_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KEC_2016-01-31_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KFE_2016-05-07_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_51HYD_2016-06-19_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52JFT_2016-09-14_final.stac-item
2016-12-29 11:16:53	ga_s2am_ard_3-2-1_52LBK_2016-12-29_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KYP_2017-01-08_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_52KBU_2017-01-08_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KEC_2017-01-25_final
2017-02-04 11:16:25	ga_s2am_ard_3-2-1_51HYD_2017-02-04_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KFD_2017-02-24_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KDV_2017-04-15_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JYJ_2017-05-18_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JNL_2017-08-12_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JBM_2017-08-13_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_51JTF_2017-09-08_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51JUN_2017-12-30_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KFC_2018-01-27_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JVL_2018-02-02_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KUS_2018-02-18_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KXQ_2018-04-16_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_51JTG_2018-05-19_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JES_2018-06-06_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HUD_2018-09-30_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_52JBT_2018-10-10_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JWL_2018-10-10_final
2018-10-31 10:47:21	ga_s2am_ard_3-2-1_52KHV_2018-10-31_final
2018-11-11 12:04:26	ga_s2am_ard_3-2-1_49KGP_2018-11-11_final
2018-12-21 12:05:54	ga_s2am_ard_3-2-1_50JKM_2018-12-21_final
2019-01-24 11:42:06	ga_s2am_ard_3-2-1_51KWB_2019-01-24_final
2019-02-07 11:25:42	ga_s2am_ard_3-2-1_51JVH_2019-02-07_final
2019-03-16 11:15:33	ga_s2am_ard_3-2-1_52JBN_2019-03-16_final
2019-04-08 11:27:00	ga_s2am_ard_3-2-1_51HVC_2019-04-08_final
2019-06-23 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-06-23_final
2019-08-09 11:36:36	ga_s2am_ard_3-2-1_51HTE_2019-08-09_final
2019-08-16 11:24:35	ga_s2am_ard_3-2-1_52JBS_2019-08-16_final
2019-11-27 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2019-11-27_final
2020-01-09 11:43:09	ga_s2am_ard_3-2-1_51KUT_2020-01-09_final
2020-01-20 11:12:29	ga_s2am_ard_3-2-1_52KDE_2020-01-20_final
2020-01-23 11:22:54	ga_s2am_ard_3-2-1_51KXU_2020-01-23_final
2020-02-22 11:25:40	ga_s2am_ard_3-2-1_51JVH_2020-02-22_final
2020-06-04 11:32:57	ga_s2am_ard_3-2-1_51KYU_2020-06-04_final
2020-11-18 11:25:12	ga_s2am_ard_3-2-1_51JXK_2020-11-18_final
2020-12-05 11:11:14	ga_s2am_ard_3-2-1_52LFK_2020-12-05_final
2020-12-11 11:32:22	ga_s2am_ard_3-2-1_51KXA_2020-12-11_final
2020-12-11 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2020-12-11_final
2020-12-11 11:36:39	ga_s2am_ard_3-2-1_51HUD_2020-12-11_final
2020-12-21 11:31:34	ga_s2am_ard_3-2-1_51LZD_2020-12-21_final
2021-01-21 11:02:48	ga_s2am_ard_3-2-1_52KFD_2021-01-21_final
2021-02-02 11:44:05	ga_s2am_ard_3-2-1_50KQV_2021-02-02_final
2021-02-02 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-02-02_final
2021-02-06 11:26:32	ga_s2am_ard_3-2-1_51HUE_2021-02-06_final
2021-02-08 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-02-08_final
2021-02-16 11:22:26	ga_s2am_ard_3-2-1_51KYA_2021-02-16_final
2021-02-23 11:11:01	ga_s2am_ard_3-2-1_52LFL_2021-02-23_final
2021-03-15 11:13:29	ga_s2am_ard_3-2-1_52KEA_2021-03-15_final
2021-03-21 11:32:21	ga_s2am_ard_3-2-1_51KYA_2021-03-21_final
2021-04-30 11:34:03	ga_s2am_ard_3-2-1_51KXP_2021-04-30_final
2021-08-22 11:16:39	ga_s2am_ard_3-2-1_51HYD_2021-08-22_final
2021-09-27 11:36:06	ga_s2am_ard_3-2-1_51JTG_2021-09-27_final
2021-11-19 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-11-19_final
2021-12-04 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-12-04_final
2021-12-06 11:31:20	ga_s2am_ard_3-2-1_51LZE_2021-12-06_final
2021-12-24 10:52:46	ga_s2am_ard_3-2-1_52KHD_2021-12-24_final
2022-01-15 11:33:24	ga_s2am_ard_3-2-1_51KXS_2022-01-15_final
2022-01-16 11:03:42	ga_s2am_ard_3-2-1_52KGV_2022-01-16_final
2022-02-15 11:05:34	ga_s2am_ard_3-2-1_52JDN_2022-02-15_final
2022-04-02 11:25:42	ga_s2am_ard_3-2-1_51JWH_2022-04-02_final
2022-05-18 11:43:49	ga_s2am_ard_3-2-1_51KUR_2022-05-18_final
2022-05-25 11:32:27	ga_s2am_ard_3-2-1_51KVB_2022-05-25_final
2022-05-29 11:16:19	ga_s2am_ard_3-2-1_51JXF_2022-05-29_final
2022-06-02 10:55:50	ga_s2am_ard_3-2-1_52JGM_2022-06-02_final
2022-06-05 11:03:10	ga_s2am_ard_3-2-1_52KFC_2022-06-05_final
2022-06-14 11:33:12	ga_s2am_ard_3-2-1_51KYT_2022-06-14_final
2022-07-08 11:16:50	ga_s2am_ard_3-2-1_51HYD_2022-07-08_final
2022-08-10 11:24:20	ga_s2am_ard_3-2-1_51KYP_2022-08-10_final
2022-08-16 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-08-16_final
2022-08-23 11:36:50	ga_s2am_ard_3-2-1_50HPK_2022-08-23_final.stac-item
2022-10-26 11:15:42	ga_s2am_ard_3-2-1_51JYH_2022-10-26_final.stac-item
2022-11-21 11:31:43	ga_s2am_ard_3-2-1_51LXD_2022-11-21_final.stac-item
2022-12-14 11:42:46	ga_s2am_ard_3-2-1_51KUV_2022-12-14_final.stac-item
2022-12-22 11:03:03	ga_s2am_ard_3-2-1_52KGC_2022-12-22_final.stac-item
2023-01-16 11:57:11	ga_s2am_ard_3-2-1_49HGC_2023-01-16_nrt.stac-item
2023-03-27 11:53:09	ga_s2am_ard_3-2-1_50KRC_2023-03-27_final.stac-item
2023-04-10 11:32:00	ga_s2am_ard_3-2-1_51LWC_2023-04-10_final.stac-item
2023-04-13 11:41:59	ga_s2am_ard_3-2-1_51LVC_2023-04-13_final.stac-item
2023-04-14 11:11:37	ga_s2am_ard_3-2-1_52LDJ_2023-04-14_final.stac-item
2023-04-14 11:13:22	ga_s2am_ard_3-2-1_52KCB_2023-04-14_final.stac-item
2023-04-14 11:15:36	ga_s2am_ard_3-2-1_52JCN_2023-04-14_final.stac-item
2023-06-26 11:22:56	ga_s2am_ard_3-2-1_51KZU_2023-06-26_final.stac-item
2023-06-26 11:23:31	ga_s2am_ard_3-2-1_51KXS_2023-06-26_final.stac-item
2023-10-23 11:56:14	ga_s2am_ard_3-2-1_50JKM_2023-10-23_final.stac-item
2024-01-03 10:54:45	ga_s2am_ard_3-2-1_52JFR_2024-01-03_final.stac-item
2024-02-14 11:32:52	ga_s2am_ard_3-2-1_51KVU_2024-02-14_final.stac-item
2024-02-21 11:21:23	ga_s2am_ard_3-2-1_51LZE_2024-02-21_final.stac-item
2024-03-08 11:42:46	ga_s2am_ard_3-2-1_51KUV_2024-03-08_final.stac-item
2024-03-08 11:43:48	ga_s2am_ard_3-2-1_51KTR_2024-03-08_final.stac-item
2024-03-26 11:04:15	ga_s2am_ard_3-2-1_52JFT_2024-03-26_final.stac-item
2024-04-01 11:25:39	ga_s2am_ard_3-2-1_51JWH_2024-04-01_final.stac-item
2024-04-04 11:31:03	ga_s2am_ard_3-2-1_51LZF_2024-04-04_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