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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_50KKB_2015-12-30_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHM_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKU_2016-06-04_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JLM_2016-07-10_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53HME_2016-08-16_final.stac-item
2016-08-28 11:12:16	ga_s2am_ard_3-2-1_52KBU_2016-08-28_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HMJ_2016-09-19_final.stac-item
2016-10-07 11:12:10	ga_s2am_ard_3-2-1_52KDA_2016-10-07_final.stac-item
2016-10-12 10:25:59	ga_s2am_ard_3-2-1_53HQE_2016-10-12_final.stac-item
2016-11-17 10:42:22	ga_s2am_ard_3-2-1_53HLD_2016-11-17_final.stac-item
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JKM_2017-05-17_final
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53HLD_2017-07-25_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JPT_2017-08-25_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_51KVB_2017-10-18_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXP_2017-11-07_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JYH_2017-12-24_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52KFE_2018-01-20_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52LFH_2018-01-27_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWR_2018-02-15_final
2018-03-17 11:26:39	ga_s2am_ard_3-2-1_51KWT_2018-03-17_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JPR_2018-04-02_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KUS_2018-07-15_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HUE_2018-10-30_final
2018-11-07 10:46:20	ga_s2am_ard_3-2-1_53HLD_2018-11-07_final
2019-01-05 11:16:17	ga_s2am_ard_3-2-1_51HYE_2019-01-05_final
2019-01-06 10:45:38	ga_s2am_ard_3-2-1_53JKG_2019-01-06_final
2019-01-14 11:43:28	ga_s2am_ard_3-2-1_51KTS_2019-01-14_final
2019-01-15 11:16:04	ga_s2am_ard_3-2-1_51JYF_2019-01-15_final
2019-03-16 11:15:00	ga_s2am_ard_3-2-1_52JCQ_2019-03-16_final
2019-03-22 11:32:30	ga_s2am_ard_3-2-1_51KVA_2019-03-22_final
2019-04-04 11:43:26	ga_s2am_ard_3-2-1_51KVS_2019-04-04_final
2019-06-27 11:23:44	ga_s2am_ard_3-2-1_51KYR_2019-06-27_final
2019-08-22 11:41:58	ga_s2am_ard_3-2-1_51LWC_2019-08-22_final
2019-10-07 10:26:43	ga_s2am_ard_3-2-1_53HNC_2019-10-07_final
2019-10-28 11:32:58	ga_s2am_ard_3-2-1_51KXU_2019-10-28_final
2019-12-07 11:32:48	ga_s2am_ard_3-2-1_51KYU_2019-12-07_final
2020-01-03 11:25:51	ga_s2am_ard_3-2-1_51JWG_2020-01-03_final
2020-01-04 10:55:04	ga_s2am_ard_3-2-1_53JKJ_2020-01-04_final
2020-01-10 11:14:36	ga_s2am_ard_3-2-1_51JYM_2020-01-10_final
2020-01-28 10:36:21	ga_s2am_ard_3-2-1_53HLD_2020-01-28_final
2020-04-05 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2020-04-05_final
2020-05-20 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-05-20_final
2020-05-26 11:04:20	ga_s2am_ard_3-2-1_52JFT_2020-05-26_final
2020-06-01 11:27:08	ga_s2am_ard_3-2-1_51HUC_2020-06-01_final
2020-07-08 11:14:13	ga_s2am_ard_3-2-1_52KBU_2020-07-08_final
2020-09-01 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-01_final
2020-09-10 10:55:58	ga_s2am_ard_3-2-1_53JKF_2020-09-10_final
2020-10-24 10:34:45	ga_s2am_ard_3-2-1_53JNL_2020-10-24_final
2021-02-05 11:54:04	ga_s2am_ard_3-2-1_50KPV_2021-02-05_final
2021-02-08 12:03:43	ga_s2am_ard_3-2-1_50KKB_2021-02-08_final
2021-02-10 11:03:04	ga_s2am_ard_3-2-1_52KEC_2021-02-10_final
2021-02-12 11:42:55	ga_s2am_ard_3-2-1_51KVU_2021-02-12_final
2021-04-20 11:36:29	ga_s2am_ard_3-2-1_50HQK_2021-04-20_final
2021-05-31 11:04:48	ga_s2am_ard_3-2-1_52JER_2021-05-31_final
2021-06-08 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-06-08_final
2021-06-29 11:36:40	ga_s2am_ard_3-2-1_50HPK_2021-06-29_final
2021-09-18 11:02:54	ga_s2am_ard_3-2-1_52KED_2021-09-18_final
2021-09-23 11:53:28	ga_s2am_ard_3-2-1_50KNC_2021-09-23_final
2021-10-07 11:33:39	ga_s2am_ard_3-2-1_51KUS_2021-10-07_final
2021-11-06 11:32:44	ga_s2am_ard_3-2-1_51KXV_2021-11-06_final
2021-12-13 11:25:33	ga_s2am_ard_3-2-1_51JYH_2021-12-13_final
2022-02-02 10:54:26	ga_s2am_ard_3-2-1_53JKM_2022-02-02_final
2022-02-24 11:36:13	ga_s2am_ard_3-2-1_51JVF_2022-02-24_final
2022-05-04 12:04:51	ga_s2am_ard_3-2-1_49JGN_2022-05-04_final
2022-06-19 10:45:01	ga_s2am_ard_3-2-1_53JNK_2022-06-19_final
2022-07-18 11:16:27	ga_s2am_ard_3-2-1_51JXF_2022-07-18_final
2022-07-21 11:24:41	ga_s2am_ard_3-2-1_51JWN_2022-07-21_final
2022-07-27 11:46:50	ga_s2am_ard_3-2-1_50HMK_2022-07-27_final
2022-07-29 10:45:41	ga_s2am_ard_3-2-1_53JNG_2022-07-29_final
2022-07-30 11:55:56	ga_s2am_ard_3-2-1_50JKP_2022-07-30_final
2022-08-03 11:35:48	ga_s2am_ard_3-2-1_50JQP_2022-08-03_final
2022-08-26 11:43:27	ga_s2am_ard_3-2-1_51KUT_2022-08-26_final.stac-item
2022-09-05 13:21:57	ga_s2am_ard_3-2-1_46LHM_2022-09-05_interim.stac-item
2022-09-07 10:46:35	ga_s2am_ard_3-2-1_53HLD_2022-09-07_final.stac-item
2022-09-09 11:24:52	ga_s2am_ard_3-2-1_51JXM_2022-09-09_final.stac-item
2022-11-14 13:21:41	ga_s2am_ard_3-2-1_47LKH_2022-11-14_interim.stac-item
2022-12-23 10:34:37	ga_s2am_ard_3-2-1_53JNL_2022-12-23_final.stac-item
2022-12-31 11:33:12	ga_s2am_ard_3-2-1_51KWT_2022-12-31_final.stac-item
2023-01-08 10:54:54	ga_s2am_ard_3-2-1_53JKK_2023-01-08_final.stac-item
2023-02-06 11:23:42	ga_s2am_ard_3-2-1_51KXR_2023-02-06_final.stac-item
2023-02-12 11:45:45	ga_s2am_ard_3-2-1_50JQN_2023-02-12_final.stac-item
2023-02-12 11:46:03	ga_s2am_ard_3-2-1_50JPM_2023-02-12_final.stac-item
2023-02-24 10:44:18	ga_s2am_ard_3-2-1_53JNM_2023-02-24_final.stac-item
2023-03-06 10:45:51	ga_s2am_ard_3-2-1_53JLF_2023-03-06_final.stac-item
2023-03-10 10:26:45	ga_s2am_ard_3-2-1_53HPB_2023-03-10_final.stac-item
2023-03-11 11:32:24	ga_s2am_ard_3-2-1_51KWA_2023-03-11_final.stac-item
2023-03-27 11:53:09	ga_s2am_ard_3-2-1_50KRC_2023-03-27_final.stac-item
2023-04-11 11:02:33	ga_s2am_ard_3-2-1_52KFE_2023-04-11_final.stac-item
2023-06-09 11:34:09	ga_s2am_ard_3-2-1_51KXP_2023-06-09_final.stac-item
2023-06-19 11:34:53	ga_s2am_ard_3-2-1_51JTM_2023-06-19_final.stac-item
2023-07-13 11:13:24	ga_s2am_ard_3-2-1_52KDB_2023-07-13_final.stac-item
2023-08-29 11:03:59	ga_s2am_ard_3-2-1_52KDV_2023-08-29_final.stac-item
2023-11-05 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-11-05_final.stac-item
2023-11-18 10:35:39	ga_s2am_ard_3-2-1_53JMG_2023-11-18_final.stac-item
2023-11-21 10:45:40	ga_s2am_ard_3-2-1_53JKG_2023-11-21_final.stac-item
2023-12-10 11:12:23	ga_s2am_ard_3-2-1_52KFE_2023-12-10_final.stac-item
2023-12-10 11:15:37	ga_s2am_ard_3-2-1_51JXH_2023-12-10_final.stac-item
2023-12-19 11:46:22	ga_s2am_ard_3-2-1_50JML_2023-12-19_final.stac-item
2023-12-26 11:33:24	ga_s2am_ard_3-2-1_51KWS_2023-12-26_final.stac-item
2024-01-07 10:36:54	ga_s2am_ard_3-2-1_53HPA_2024-01-07_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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