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
2015-07-25 11:12:44	ga_s2am_ard_3-2-1_52KCU_2015-07-25_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_52KCB_2015-12-25_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HMH_2016-01-20_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52JBR_2016-01-24_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JNL_2016-07-31_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52KHV_2016-09-01_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KBV_2016-09-27_final.stac-item
2016-09-28 10:45:16	ga_s2am_ard_3-2-1_53HLD_2016-09-28_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JNP_2016-10-09_final.stac-item
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_52KHA_2016-10-21_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50JQN_2016-12-12_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KEA_2016-12-26_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52KFE_2017-02-14_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50JPT_2017-03-25_final
2017-03-30 10:52:12	ga_s2am_ard_3-2-1_52KGU_2017-03-30_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JKM_2017-08-05_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JUH_2017-09-08_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JWG_2017-10-05_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JWL_2017-10-05_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JGT_2017-11-08_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JLM_2018-03-06_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KFF_2018-03-11_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JKM_2018-07-31_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JGT_2018-08-02_final
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_52KBB_2018-08-08_final
2018-11-23 11:05:19	ga_s2am_ard_3-2-1_52JFN_2018-11-23_final
2018-12-07 10:46:12	ga_s2am_ard_3-2-1_53HMD_2018-12-07_final
2019-04-28 11:21:50	ga_s2am_ard_3-2-1_52LDH_2019-04-28_final
2019-05-17 11:56:18	ga_s2am_ard_3-2-1_50JKM_2019-05-17_final
2019-06-02 10:36:31	ga_s2am_ard_3-2-1_53HLD_2019-06-02_final
2019-09-22 11:13:29	ga_s2am_ard_3-2-1_51KZS_2019-09-22_final
2019-10-31 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-10-31_final
2020-01-06 11:32:27	ga_s2am_ard_3-2-1_51KVA_2020-01-06_final
2020-01-09 11:43:27	ga_s2am_ard_3-2-1_51KTS_2020-01-09_final
2020-01-12 11:55:54	ga_s2am_ard_3-2-1_50JKN_2020-01-12_final
2020-03-06 11:36:19	ga_s2am_ard_3-2-1_51HVE_2020-03-06_final
2020-05-18 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-05-18_final
2020-05-25 11:35:00	ga_s2am_ard_3-2-1_51JWL_2020-05-25_final
2020-05-26 11:03:26	ga_s2am_ard_3-2-1_52KEB_2020-05-26_final
2020-09-24 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-09-24_final
2020-10-02 11:33:22	ga_s2am_ard_3-2-1_51KVT_2020-10-02_final
2020-12-25 11:12:34	ga_s2am_ard_3-2-1_52KDE_2020-12-25_final
2020-12-28 11:23:00	ga_s2am_ard_3-2-1_51KXU_2020-12-28_final
2021-01-28 10:55:46	ga_s2am_ard_3-2-1_52JFM_2021-01-28_final
2021-02-10 11:05:59	ga_s2am_ard_3-2-1_52JCL_2021-02-10_final
2021-02-12 11:41:57	ga_s2am_ard_3-2-1_51LVC_2021-02-12_final
2021-03-02 11:06:24	ga_s2am_ard_3-2-1_52HBK_2021-03-02_final
2021-03-14 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-03-14_final
2021-03-24 11:47:01	ga_s2am_ard_3-2-1_50HPH_2021-03-24_final
2021-04-16 11:53:05	ga_s2am_ard_3-2-1_50KRC_2021-04-16_final
2021-04-21 11:03:49	ga_s2am_ard_3-2-1_52KDV_2021-04-21_final
2021-05-04 11:15:52	ga_s2am_ard_3-2-1_51JYG_2021-05-04_final
2021-05-06 11:55:55	ga_s2am_ard_3-2-1_50JLN_2021-05-06_final
2021-05-28 10:54:30	ga_s2am_ard_3-2-1_52JGS_2021-05-28_final
2021-07-12 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2021-07-12_final
2021-07-16 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2021-07-16_final
2021-09-05 10:56:01	ga_s2am_ard_3-2-1_52JFL_2021-09-05_final
2021-09-14 11:24:05	ga_s2am_ard_3-2-1_51KZP_2021-09-14_final
2021-09-30 11:46:45	ga_s2am_ard_3-2-1_50HMK_2021-09-30_final
2021-10-31 11:13:45	ga_s2am_ard_3-2-1_51KZR_2021-10-31_final
2021-11-23 11:26:18	ga_s2am_ard_3-2-1_51JUF_2021-11-23_final
2021-12-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-12-02_final
2022-01-15 11:31:40	ga_s2am_ard_3-2-1_51LYD_2022-01-15_final
2022-01-16 11:05:35	ga_s2am_ard_3-2-1_52JDN_2022-01-16_final
2022-02-13 12:04:13	ga_s2am_ard_3-2-1_50KKV_2022-02-13_final
2022-02-26 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-02-26_final
2022-03-07 11:06:03	ga_s2am_ard_3-2-1_52JEL_2022-03-07_final
2022-04-06 11:05:27	ga_s2am_ard_3-2-1_52JFN_2022-04-06_final
2022-05-15 11:33:32	ga_s2am_ard_3-2-1_51KWS_2022-05-15_final
2022-07-14 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-07-14_final
2022-08-03 11:35:23	ga_s2am_ard_3-2-1_51JVK_2022-08-03_final
2022-08-05 10:36:39	ga_s2am_ard_3-2-1_53HLD_2022-08-05_final
2022-09-05 11:45:33	ga_s2am_ard_3-2-1_50JPQ_2022-09-05_final.stac-item
2022-10-29 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-10-29_final.stac-item
2022-11-15 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2022-11-15_final.stac-item
2022-12-22 11:02:42	ga_s2am_ard_3-2-1_52KGD_2022-12-22_final.stac-item
2022-12-25 11:12:01	ga_s2am_ard_3-2-1_52KEG_2022-12-25_final.stac-item
2023-01-13 11:44:25	ga_s2am_ard_3-2-1_51JUN_2023-01-13_final.stac-item
2023-01-27 11:23:33	ga_s2am_ard_3-2-1_51KZR_2023-01-27_final.stac-item
2023-03-31 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-03-31_final.stac-item
2023-04-14 11:11:27	ga_s2am_ard_3-2-1_52LGJ_2023-04-14_final.stac-item
2023-05-23 11:46:44	ga_s2am_ard_3-2-1_50HMK_2023-05-23_final.stac-item
2023-06-19 11:35:16	ga_s2am_ard_3-2-1_51JVK_2023-06-19_final.stac-item
2023-06-20 11:04:07	ga_s2am_ard_3-2-1_52KEU_2023-06-20_final.stac-item
2023-06-24 10:46:27	ga_s2am_ard_3-2-1_53HLD_2023-06-24_final.stac-item
2023-06-27 10:55:17	ga_s2am_ard_3-2-1_52JGP_2023-06-27_final.stac-item
2023-08-08 11:36:51	ga_s2am_ard_3-2-1_51HTD_2023-08-08_final.stac-item
2023-08-22 11:15:39	ga_s2am_ard_3-2-1_52JCN_2023-08-22_final.stac-item
2023-09-20 11:47:04	ga_s2am_ard_3-2-1_50HPH_2023-09-20_final.stac-item
2023-11-20 11:11:45	ga_s2am_ard_3-2-1_52LEH_2023-11-20_final.stac-item
2023-11-29 11:46:33	ga_s2am_ard_3-2-1_50HMK_2023-11-29_final.stac-item
2023-12-29 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-12-29_final.stac-item
2024-01-09 11:10:57	ga_s2am_ard_3-2-1_52LFL_2024-01-09_final.stac-item
2024-01-12 11:26:06	ga_s2am_ard_3-2-1_51JWF_2024-01-12_final.stac-item
2024-01-16 11:02:57	ga_s2am_ard_3-2-1_52KEC_2024-01-16_final.stac-item
2024-01-19 11:12:05	ga_s2am_ard_3-2-1_52KFF_2024-01-19_final.stac-item
2024-01-22 11:23:42	ga_s2am_ard_3-2-1_51KZQ_2024-01-22_final.stac-item
2024-01-29 11:10:56	ga_s2am_ard_3-2-1_52LFL_2024-01-29_final.stac-item
2024-05-04 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2024-05-04_final.stac-item
2024-05-13 12:05:38	ga_s2am_ard_3-2-1_50JLP_2024-05-13_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