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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KZP_2015-11-25_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKB_2016-03-16_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_52JDS_2016-04-30_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGK_2016-06-14_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50JQL_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51LZD_2016-12-22_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_51KZR_2016-12-26_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JXJ_2016-12-26_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKT_2017-02-09_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HWD_2017-03-19_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQR_2017-03-25_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JWM_2017-04-21_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HLH_2017-07-03_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMJ_2017-08-12_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50HPK_2017-08-19_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HMH_2017-09-01_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51LWC_2017-09-01_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51HUE_2017-09-08_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JLT_2017-11-06_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HUD_2017-11-14_final
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-12-29_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KBB_2018-01-10_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_52JBT_2018-04-23_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52JCN_2018-06-19_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HMH_2018-07-01_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HQK_2018-07-28_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51HYD_2018-08-18_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_52KBV_2018-09-30_final
2019-01-28 11:23:00	ga_s2am_ard_3-2-1_52KCC_2019-01-28_final
2019-03-15 11:42:24	ga_s2am_ard_3-2-1_51KVA_2019-03-15_final
2019-03-28 11:57:05	ga_s2am_ard_3-2-1_50HMH_2019-03-28_final
2019-04-07 11:53:12	ga_s2am_ard_3-2-1_50KRC_2019-04-07_final
2019-04-21 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-04-21_final
2019-07-28 10:56:01	ga_s2am_ard_3-2-1_52JGL_2019-07-28_final
2019-08-19 11:32:17	ga_s2am_ard_3-2-1_51KWB_2019-08-19_final
2019-10-05 11:23:45	ga_s2am_ard_3-2-1_51KXR_2019-10-05_final
2019-10-15 11:25:48	ga_s2am_ard_3-2-1_51JYG_2019-10-15_final
2019-12-26 12:06:04	ga_s2am_ard_3-2-1_50JKM_2019-12-26_final
2019-12-30 11:42:37	ga_s2am_ard_3-2-1_51KVV_2019-12-30_final
2020-01-09 11:43:41	ga_s2am_ard_3-2-1_51KTR_2020-01-09_final
2020-03-26 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2020-03-26_final
2020-04-28 11:43:14	ga_s2am_ard_3-2-1_51KVT_2020-04-28_final
2020-05-22 11:22:39	ga_s2am_ard_3-2-1_52KCE_2020-05-22_final
2020-05-24 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-05-24_final
2020-05-25 11:34:55	ga_s2am_ard_3-2-1_51JTM_2020-05-25_final
2020-05-25 11:36:49	ga_s2am_ard_3-2-1_51HUD_2020-05-25_final
2020-06-17 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-06-17_final
2020-07-21 11:23:33	ga_s2am_ard_3-2-1_51KXS_2020-07-21_final
2020-08-07 11:16:00	ga_s2am_ard_3-2-1_51JYG_2020-08-07_final
2020-08-09 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-08-09_final
2020-08-13 11:33:19	ga_s2am_ard_3-2-1_51KWT_2020-08-13_final
2020-08-30 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-08-30_final
2020-09-22 11:33:28	ga_s2am_ard_3-2-1_51KXS_2020-09-22_final
2020-10-15 11:46:36	ga_s2am_ard_3-2-1_50HQK_2020-10-15_final
2020-12-04 11:42:20	ga_s2am_ard_3-2-1_51KWA_2020-12-04_final
2020-12-28 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2020-12-28_final
2021-01-14 11:15:23	ga_s2am_ard_3-2-1_52JBP_2021-01-14_final
2021-03-08 11:26:37	ga_s2am_ard_3-2-1_51HWD_2021-03-08_final
2021-05-11 11:06:36	ga_s2am_ard_3-2-1_51HYD_2021-05-11_final
2021-06-08 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-06-08_final
2021-06-16 11:23:28	ga_s2am_ard_3-2-1_52KCA_2021-06-16_final
2021-07-09 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-09_final
2021-07-13 11:14:44	ga_s2am_ard_3-2-1_51JYM_2021-07-13_final
2021-08-31 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-08-31_final
2021-09-04 11:23:36	ga_s2am_ard_3-2-1_52KBA_2021-09-04_final
2021-10-01 11:16:41	ga_s2am_ard_3-2-1_51HYD_2021-10-01_final
2021-10-31 11:14:36	ga_s2am_ard_3-2-1_52JDS_2021-10-31_final
2022-01-29 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2022-01-29_final
2022-02-13 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-02-13_final
2022-03-02 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-03-02_final
2022-03-30 11:15:02	ga_s2am_ard_3-2-1_52JDQ_2022-03-30_final
2022-04-29 11:14:25	ga_s2am_ard_3-2-1_52JCT_2022-04-29_final
2022-05-19 11:16:08	ga_s2am_ard_3-2-1_52JCL_2022-05-19_final
2022-05-22 11:26:03	ga_s2am_ard_3-2-1_51JWG_2022-05-22_final
2022-06-01 11:24:40	ga_s2am_ard_3-2-1_51JZM_2022-06-01_final
2022-06-02 10:55:50	ga_s2am_ard_3-2-1_52JGM_2022-06-02_final
2022-07-07 11:47:27	ga_s2am_ard_3-2-1_50HLH_2022-07-07_final
2022-08-23 11:37:13	ga_s2am_ard_3-2-1_51HTC_2022-08-23_final
2022-08-26 11:43:24	ga_s2am_ard_3-2-1_51KVT_2022-08-26_final.stac-item
2022-09-08 11:57:06	ga_s2am_ard_3-2-1_50HLJ_2022-09-08_final.stac-item
2022-10-05 11:47:09	ga_s2am_ard_3-2-1_50HPH_2022-10-05_final.stac-item
2023-02-03 11:16:07	ga_s2am_ard_3-2-1_51JYF_2023-02-03_final.stac-item
2023-02-03 11:16:39	ga_s2am_ard_3-2-1_51HXD_2023-02-03_final.stac-item
2023-02-28 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-02-28_final.stac-item
2023-03-01 11:32:05	ga_s2am_ard_3-2-1_51KYB_2023-03-01_final.stac-item
2023-04-06 11:57:14	ga_s2am_ard_3-2-1_49HGC_2023-04-06_nrt.stac-item
2023-04-14 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2023-04-14_final.stac-item
2023-05-30 11:36:21	ga_s2am_ard_3-2-1_51JTF_2023-05-30_final.stac-item
2023-05-30 11:36:50	ga_s2am_ard_3-2-1_51HTD_2023-05-30_final.stac-item
2023-06-27 10:54:30	ga_s2am_ard_3-2-1_52JHS_2023-06-27_final.stac-item
2023-07-23 11:15:55	ga_s2am_ard_3-2-1_52JCM_2023-07-23_final.stac-item
2023-08-08 11:34:40	ga_s2am_ard_3-2-1_51JTN_2023-08-08_final.stac-item
2023-09-17 11:33:48	ga_s2am_ard_3-2-1_51KVR_2023-09-17_final.stac-item
2023-09-20 11:47:12	ga_s2am_ard_3-2-1_50HMH_2023-09-20_final.stac-item
2023-10-03 11:56:13	ga_s2am_ard_3-2-1_50JLM_2023-10-03_final.stac-item
2023-12-30 12:50:57	ga_s2am_ard_3-2-1_48LWP_2023-12-30_final.stac-item
2024-01-03 10:54:12	ga_s2am_ard_3-2-1_52JGT_2024-01-03_final.stac-item
2024-01-12 11:26:09	ga_s2am_ard_3-2-1_51JVF_2024-01-12_final.stac-item
2024-03-20 10:46:01	ga_s2am_ard_3-2-1_52JGL_2024-03-20_final.stac-item
2024-03-28 11:42:46	ga_s2am_ard_3-2-1_51KUV_2024-03-28_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