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
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KVA_2015-12-21_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KUV_2016-01-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51JTH_2016-04-19_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KCV_2016-05-20_final.stac-item
2016-10-31 10:50:37	ga_s2am_ard_3-2-1_52KGA_2016-10-31_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KUV_2016-12-25_final
2017-01-08 11:26:18	ga_s2am_ard_3-2-1_51HVC_2017-01-08_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JFM_2017-04-09_final
2017-04-12 11:00:40	ga_s2am_ard_3-2-1_52LHM_2017-04-12_final
2017-04-15 11:07:12	ga_s2am_ard_3-2-1_52KDG_2017-04-15_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JMM_2017-05-04_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JGT_2017-06-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51HTE_2017-09-28_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JLL_2018-01-12_final
2018-01-27 11:02:54	ga_s2am_ard_3-2-1_52KHB_2018-01-27_final
2018-02-03 10:53:11	ga_s2am_ard_3-2-1_52JFP_2018-02-03_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52LHM_2018-02-16_final
2018-03-17 11:26:39	ga_s2am_ard_3-2-1_51KXU_2018-03-17_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JWM_2018-04-23_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KTU_2018-04-29_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KUU_2018-05-29_final
2018-06-22 11:26:00	ga_s2am_ard_3-2-1_51HWC_2018-06-22_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JQL_2018-08-17_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JQT_2018-10-26_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUV_2018-11-05_final
2019-02-19 12:04:06	ga_s2am_ard_3-2-1_50KLV_2019-02-19_final
2019-04-08 11:23:11	ga_s2am_ard_3-2-1_51KYT_2019-04-08_final
2019-06-20 11:32:18	ga_s2am_ard_3-2-1_51KWB_2019-06-20_final
2019-06-29 12:06:00	ga_s2am_ard_3-2-1_50JKN_2019-06-29_final
2019-07-18 10:55:47	ga_s2am_ard_3-2-1_52JGM_2019-07-18_final
2019-08-03 11:13:59	ga_s2am_ard_3-2-1_52KBV_2019-08-03_final
2019-09-05 11:22:23	ga_s2am_ard_3-2-1_51KZA_2019-09-05_final
2019-09-12 11:13:08	ga_s2am_ard_3-2-1_52KDC_2019-09-12_final
2019-12-20 11:44:45	ga_s2am_ard_3-2-1_51JUL_2019-12-20_final
2020-01-05 12:04:37	ga_s2am_ard_3-2-1_49JHN_2020-01-05_final
2020-02-17 12:13:48	ga_s2am_ard_3-2-1_50KKA_2020-02-17_final
2020-05-12 11:26:48	ga_s2am_ard_3-2-1_51HVD_2020-05-12_final
2020-05-26 11:03:19	ga_s2am_ard_3-2-1_52KGB_2020-05-26_final
2020-08-22 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-08-22_final
2020-09-24 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-09-24_final
2020-10-03 11:04:57	ga_s2am_ard_3-2-1_52JCR_2020-10-03_final
2020-10-28 11:52:39	ga_s2am_ard_3-2-1_50KQF_2020-10-28_final.stac-item
2020-11-12 11:03:45	ga_s2am_ard_3-2-1_52KGV_2020-11-12_final
2020-12-11 11:35:12	ga_s2am_ard_3-2-1_51JUK_2020-12-11_final
2020-12-12 11:03:42	ga_s2am_ard_3-2-1_52KFV_2020-12-12_final
2021-01-14 11:12:29	ga_s2am_ard_3-2-1_52KFE_2021-01-14_final
2021-01-24 11:12:52	ga_s2am_ard_3-2-1_52KDD_2021-01-24_final
2021-01-30 11:31:39	ga_s2am_ard_3-2-1_51LYD_2021-01-30_final
2021-02-16 11:22:21	ga_s2am_ard_3-2-1_52KBF_2021-02-16_final
2021-02-19 11:34:49	ga_s2am_ard_3-2-1_51JWL_2021-02-19_final
2021-03-01 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-03-01_final
2021-03-12 11:04:47	ga_s2am_ard_3-2-1_52JER_2021-03-12_final
2021-04-07 11:23:06	ga_s2am_ard_3-2-1_51KYT_2021-04-07_final
2021-05-14 11:15:57	ga_s2am_ard_3-2-1_51JXG_2021-05-14_final
2021-05-19 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-05-19_final
2021-05-24 11:14:42	ga_s2am_ard_3-2-1_51JYM_2021-05-24_final
2021-06-22 11:42:36	ga_s2am_ard_3-2-1_51KVV_2021-06-22_final
2021-06-23 11:16:21	ga_s2am_ard_3-2-1_52HBK_2021-06-23_final
2021-06-30 11:03:22	ga_s2am_ard_3-2-1_52KEB_2021-06-30_final
2021-07-06 11:24:07	ga_s2am_ard_3-2-1_52KBU_2021-07-06_final
2021-07-16 11:23:38	ga_s2am_ard_3-2-1_52KBA_2021-07-16_final
2021-09-14 11:21:33	ga_s2am_ard_3-2-1_52LDJ_2021-09-14_final
2021-09-17 11:33:14	ga_s2am_ard_3-2-1_51KWT_2021-09-17_final
2021-11-06 11:31:46	ga_s2am_ard_3-2-1_51LXD_2021-11-06_final
2021-11-19 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-11-19_final
2021-11-19 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-19_final
2021-11-20 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-11-20_final.stac-item
2021-12-23 11:21:56	ga_s2am_ard_3-2-1_51LZC_2021-12-23_final
2022-01-15 11:34:06	ga_s2am_ard_3-2-1_51KXP_2022-01-15_final
2022-02-02 10:52:59	ga_s2am_ard_3-2-1_52KHC_2022-02-02_final
2022-03-07 11:06:14	ga_s2am_ard_3-2-1_52JBL_2022-03-07_final
2022-04-01 11:55:49	ga_s2am_ard_3-2-1_50JMP_2022-04-01_final
2022-07-28 11:14:04	ga_s2am_ard_3-2-1_52KBV_2022-07-28_final
2022-09-12 11:36:06	ga_s2am_ard_3-2-1_51JVG_2022-09-12_final.stac-item
2022-09-13 11:04:57	ga_s2am_ard_3-2-1_52JER_2022-09-13_final.stac-item
2022-10-03 11:05:41	ga_s2am_ard_3-2-1_52JDN_2022-10-03_final.stac-item
2022-10-03 11:05:44	ga_s2am_ard_3-2-1_52JCN_2022-10-03_final.stac-item
2022-11-17 11:57:08	ga_s2am_ard_3-2-1_50HMH_2022-11-17_final.stac-item
2022-11-25 11:13:14	ga_s2am_ard_3-2-1_52KEB_2022-11-25_final.stac-item
2023-04-09 12:04:33	ga_s2am_ard_3-2-1_50KLU_2023-04-09_final.stac-item
2023-04-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-09_final.stac-item
2023-04-21 11:01:01	ga_s2am_ard_3-2-1_52LGL_2023-04-21_final.stac-item
2023-05-14 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-05-14_final.stac-item
2023-08-30 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-08-30_final.stac-item
2023-09-04 11:21:16	ga_s2am_ard_3-2-1_51LZF_2023-09-04_nrt.stac-item
2023-10-31 11:11:04	ga_s2am_ard_3-2-1_52LEL_2023-10-31_final.stac-item
2023-11-05 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-11-05_final.stac-item
2023-11-26 11:34:43	ga_s2am_ard_3-2-1_50JRS_2023-11-26_final.stac-item
2023-12-23 11:23:24	ga_s2am_ard_3-2-1_51KXS_2023-12-23_final.stac-item
2023-12-27 11:05:35	ga_s2am_ard_3-2-1_52JFM_2023-12-27_final.stac-item
2024-01-03 10:54:23	ga_s2am_ard_3-2-1_52JHS_2024-01-03_final.stac-item
2024-01-15 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2024-01-15_final.stac-item
2024-01-22 11:24:11	ga_s2am_ard_3-2-1_51JZN_2024-01-22_final.stac-item
2024-01-29 11:14:18	ga_s2am_ard_3-2-1_51JZN_2024-01-29_final.stac-item
2024-03-01 11:53:46	ga_s2am_ard_3-2-1_50KQA_2024-03-01_final.stac-item
2024-03-05 11:34:11	ga_s2am_ard_3-2-1_51KWP_2024-03-05_final.stac-item
2024-03-11 11:55:35	ga_s2am_ard_3-2-1_50JNP_2024-03-11_final.stac-item
2024-03-25 11:32:38	ga_s2am_ard_3-2-1_51KYV_2024-03-25_final.stac-item
2024-03-29 11:16:02	ga_s2am_ard_3-2-1_52JCL_2024-03-29_final.stac-item
2024-04-01 11:25:37	ga_s2am_ard_3-2-1_51JXH_2024-04-01_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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