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
2015-08-18 10:54:45	ga_s2am_ard_3-2-1_52JGN_2015-08-18_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KGC_2015-12-29_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKR_2016-05-15_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KWT_2016-06-05_final.stac-item
2016-09-04 11:02:10	ga_s2am_ard_3-2-1_52KGD_2016-09-04_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50HNK_2016-09-09_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52JGT_2016-09-14_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGK_2016-10-22_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDS_2016-12-13_final
2016-12-27 10:43:36	ga_s2am_ard_3-2-1_52JGL_2016-12-27_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KDE_2017-01-15_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JNQ_2017-03-25_final
2017-08-09 11:36:05	ga_s2am_ard_3-2-1_51JTF_2017-08-09_final
2017-08-10 11:02:13	ga_s2am_ard_3-2-1_52KED_2017-08-10_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KXQ_2018-01-13_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KXT_2018-01-13_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52JCL_2018-01-20_final
2018-01-30 11:10:32	ga_s2am_ard_3-2-1_52LGM_2018-01-30_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KDA_2018-01-30_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXQ_2018-02-02_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KVB_2018-04-26_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51JTF_2018-05-06_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JRT_2018-06-05_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRA_2018-06-08_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HYD_2018-06-09_final
2018-06-23 10:47:25	ga_s2am_ard_3-2-1_52JFL_2018-06-23_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPJ_2018-09-26_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51JYH_2018-09-27_final
2018-11-19 11:26:27	ga_s2am_ard_3-2-1_51HVE_2018-11-19_final
2019-02-20 11:32:22	ga_s2am_ard_3-2-1_51KXA_2019-02-20_final
2019-03-26 11:16:40	ga_s2am_ard_3-2-1_51HXD_2019-03-26_final
2019-04-10 12:03:54	ga_s2am_ard_3-2-1_50KMA_2019-04-10_final
2019-04-15 11:14:48	ga_s2am_ard_3-2-1_52JDR_2019-04-15_final
2019-04-25 11:15:51	ga_s2am_ard_3-2-1_52JCM_2019-04-25_final
2019-06-17 11:23:39	ga_s2am_ard_3-2-1_51KXR_2019-06-17_final
2019-07-30 11:33:28	ga_s2am_ard_3-2-1_51KXS_2019-07-30_final
2019-09-12 11:13:07	ga_s2am_ard_3-2-1_52KEB_2019-09-12_final
2020-01-03 11:23:16	ga_s2am_ard_3-2-1_51KZS_2020-01-03_final
2020-04-18 11:45:47	ga_s2am_ard_3-2-1_50JQN_2020-04-18_final
2020-04-18 11:46:41	ga_s2am_ard_3-2-1_50HMK_2020-04-18_final
2020-08-06 11:45:56	ga_s2am_ard_3-2-1_50JPN_2020-08-06_final
2020-08-09 11:56:10	ga_s2am_ard_3-2-1_50JNM_2020-08-09_final
2020-11-17 11:57:09	ga_s2am_ard_3-2-1_50HMH_2020-11-17_final
2020-12-10 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2020-12-10_final
2020-12-21 11:32:06	ga_s2am_ard_3-2-1_51KYB_2020-12-21_final
2020-12-28 11:22:37	ga_s2am_ard_3-2-1_51KZV_2020-12-28_final
2021-03-18 11:22:08	ga_s2am_ard_3-2-1_51KZB_2021-03-18_final
2021-04-03 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2021-04-03_final
2021-04-10 11:34:42	ga_s2am_ard_3-2-1_51JUM_2021-04-10_final
2021-04-14 11:14:47	ga_s2am_ard_3-2-1_52JBR_2021-04-14_final
2021-05-01 11:06:21	ga_s2am_ard_3-2-1_52HBK_2021-05-01_final
2021-05-19 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-05-19_final
2021-05-23 11:45:15	ga_s2am_ard_3-2-1_51JTK_2021-05-23_final
2021-06-09 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-06-09_final
2021-06-28 12:03:57	ga_s2am_ard_3-2-1_50KLA_2021-06-28_final
2021-07-12 11:45:21	ga_s2am_ard_3-2-1_50JQQ_2021-07-12_final
2021-08-07 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-08-07_final
2021-08-11 11:45:32	ga_s2am_ard_3-2-1_50JPQ_2021-08-11_final
2021-08-18 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2021-08-18_final
2021-10-31 11:14:36	ga_s2am_ard_3-2-1_52JDS_2021-10-31_final
2021-11-22 11:53:50	ga_s2am_ard_3-2-1_50KPA_2021-11-22_final
2021-12-23 11:21:56	ga_s2am_ard_3-2-1_51LZC_2021-12-23_final
2022-01-15 11:32:55	ga_s2am_ard_3-2-1_51KXU_2022-01-15_final
2022-02-08 11:11:01	ga_s2am_ard_3-2-1_52LFL_2022-02-08_final
2022-03-14 10:55:31	ga_s2am_ard_3-2-1_52JGN_2022-03-14_final
2022-03-26 11:33:15	ga_s2am_ard_3-2-1_51KWT_2022-03-26_final
2022-03-29 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-03-29_final
2022-04-01 11:55:18	ga_s2am_ard_3-2-1_50JPQ_2022-04-01_final
2022-04-09 11:14:30	ga_s2am_ard_3-2-1_51JYN_2022-04-09_final
2022-05-27 12:14:34	ga_s2am_ard_3-2-1_49KGP_2022-05-27_final
2022-06-02 10:54:41	ga_s2am_ard_3-2-1_52JFS_2022-06-02_final
2022-06-11 11:27:11	ga_s2am_ard_3-2-1_51HUC_2022-06-11_final
2022-06-17 11:44:42	ga_s2am_ard_3-2-1_51JTN_2022-06-17_final
2022-07-18 11:16:53	ga_s2am_ard_3-2-1_51HXD_2022-07-18_final
2022-09-05 11:46:34	ga_s2am_ard_3-2-1_50JNL_2022-09-05_final.stac-item
2022-10-12 11:37:08	ga_s2am_ard_3-2-1_50HQH_2022-10-12_final.stac-item
2022-11-21 11:31:36	ga_s2am_ard_3-2-1_51LZD_2022-11-21_final.stac-item
2022-12-04 13:21:44	ga_s2am_ard_3-2-1_47LKG_2022-12-04_interim.stac-item
2023-01-11 11:03:03	ga_s2am_ard_3-2-1_52KEC_2023-01-11_final.stac-item
2023-01-28 10:54:27	ga_s2am_ard_3-2-1_52JGS_2023-01-28_final.stac-item
2023-01-28 10:55:47	ga_s2am_ard_3-2-1_52JEM_2023-01-28_final.stac-item
2023-02-06 11:21:09	ga_s2am_ard_3-2-1_52LBL_2023-02-06_nrt.stac-item
2023-03-01 11:32:09	ga_s2am_ard_3-2-1_51KXB_2023-03-01_final.stac-item
2023-04-01 11:03:55	ga_s2am_ard_3-2-1_52KGU_2023-04-01_final.stac-item
2023-04-01 11:06:33	ga_s2am_ard_3-2-1_52HBJ_2023-04-01_final.stac-item
2023-04-16 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-04-16_final.stac-item
2023-05-10 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-05-10_final.stac-item
2023-05-16 11:57:15	ga_s2am_ard_3-2-1_49HGC_2023-05-16_nrt.stac-item
2023-05-21 11:05:51	ga_s2am_ard_3-2-1_52JDM_2023-05-21_final.stac-item
2023-06-03 11:16:05	ga_s2am_ard_3-2-1_52JCL_2023-06-03_final.stac-item
2023-06-12 11:43:15	ga_s2am_ard_3-2-1_51KVT_2023-06-12_final.stac-item
2023-06-20 11:03:35	ga_s2am_ard_3-2-1_52KFA_2023-06-20_final.stac-item
2023-06-29 11:36:36	ga_s2am_ard_3-2-1_51HTE_2023-06-29_final.stac-item
2023-12-29 11:41:56	ga_s2am_ard_3-2-1_51LVC_2023-12-29_final.stac-item
2024-01-02 11:26:44	ga_s2am_ard_3-2-1_51HUD_2024-01-02_final.stac-item
2024-01-11 11:55:54	ga_s2am_ard_3-2-1_50JKN_2024-01-11_final.stac-item
2024-01-26 11:05:53	ga_s2am_ard_3-2-1_52JEL_2024-01-26_final.stac-item
2024-03-03 10:54:12	ga_s2am_ard_3-2-1_52JGT_2024-03-03_final.stac-item
2024-03-05 11:34:40	ga_s2am_ard_3-2-1_51JWM_2024-03-05_final.stac-item
2024-03-25 11:33:17	ga_s2am_ard_3-2-1_51KVT_2024-03-25_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

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