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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KYB_2016-01-07_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51HYD_2016-04-10_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KCV_2016-05-20_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_51HYD_2016-06-06_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KUP_2016-06-25_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JCR_2016-07-09_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HVE_2016-08-04_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52JDP_2016-08-18_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52KGU_2016-11-10_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KUQ_2017-01-24_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52LFK_2017-02-04_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HVD_2017-02-17_final
2017-03-22 11:35:56	ga_s2am_ard_3-2-1_51JUF_2017-03-22_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTC_2017-05-11_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JBS_2017-05-25_final
2018-02-03 10:53:11	ga_s2am_ard_3-2-1_52JFM_2018-02-03_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50KQC_2018-02-08_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50JQT_2018-02-28_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51HYE_2018-03-01_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52KBU_2018-03-31_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_51KVT_2018-04-19_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KWP_2018-05-26_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_50KKB_2018-06-27_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-07-17_final
2018-10-08 10:37:24	ga_s2am_ard_3-2-1_53HLE_2018-10-08_final
2019-01-25 11:16:19	ga_s2am_ard_3-2-1_51HYE_2019-01-25_final
2019-01-28 11:21:37	ga_s2am_ard_3-2-1_51LZD_2019-01-28_final
2019-03-16 11:15:47	ga_s2am_ard_3-2-1_52JBM_2019-03-16_final
2019-03-25 11:43:03	ga_s2am_ard_3-2-1_50KRD_2019-03-25_final
2019-04-10 12:06:11	ga_s2am_ard_3-2-1_50JKM_2019-04-10_final
2019-05-01 11:33:06	ga_s2am_ard_3-2-1_51KXU_2019-05-01_final
2019-05-31 11:33:19	ga_s2am_ard_3-2-1_51KVT_2019-05-31_final
2019-06-26 11:55:51	ga_s2am_ard_3-2-1_50JKP_2019-06-26_final
2019-07-03 11:43:16	ga_s2am_ard_3-2-1_51KVT_2019-07-03_final
2019-07-22 10:36:51	ga_s2am_ard_3-2-1_53HPB_2019-07-22_final
2019-08-09 11:36:32	ga_s2am_ard_3-2-1_51HUE_2019-08-09_final
2019-10-11 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-10-11_final
2020-01-03 11:23:19	ga_s2am_ard_3-2-1_51KYS_2020-01-03_final
2020-02-03 10:52:37	ga_s2am_ard_3-2-1_52KHD_2020-02-03_final
2020-02-05 11:33:00	ga_s2am_ard_3-2-1_51KXT_2020-02-05_final
2020-04-05 11:36:14	ga_s2am_ard_3-2-1_51JTF_2020-04-05_final
2020-06-11 11:26:39	ga_s2am_ard_3-2-1_51HUE_2020-06-11_final
2020-09-29 11:22:39	ga_s2am_ard_3-2-1_52KCE_2020-09-29_final
2020-10-21 10:27:10	ga_s2am_ard_3-2-1_53HPA_2020-10-21_final
2020-11-23 12:13:41	ga_s2am_ard_3-2-1_50KKB_2020-11-23_final
2020-12-28 11:22:23	ga_s2am_ard_3-2-1_51KZA_2020-12-28_final
2020-12-28 11:23:00	ga_s2am_ard_3-2-1_51KXU_2020-12-28_final
2021-02-11 10:36:09	ga_s2am_ard_3-2-1_53HME_2021-02-11_final
2021-03-01 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-03-01_final
2021-03-02 11:00:30	ga_s2am_ard_3-2-1_52LHN_2021-03-02_final
2021-03-13 10:36:21	ga_s2am_ard_3-2-1_53HND_2021-03-13_final
2021-03-15 11:16:36	ga_s2am_ard_3-2-1_51HYD_2021-03-15_final
2021-03-22 11:03:40	ga_s2am_ard_3-2-1_52KGV_2021-03-22_final
2021-03-22 11:04:20	ga_s2am_ard_3-2-1_52JDT_2021-03-22_final
2021-04-11 11:05:58	ga_s2am_ard_3-2-1_52JDL_2021-04-11_final
2021-04-30 11:35:48	ga_s2am_ard_3-2-1_50JQN_2021-04-30_final
2021-08-07 10:26:57	ga_s2am_ard_3-2-1_53HNB_2021-08-07_final
2021-09-04 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2021-09-04_final
2021-10-27 11:36:22	ga_s2am_ard_3-2-1_51JTF_2021-10-27_final
2021-10-31 11:10:41	ga_s2am_ard_3-2-1_52LHM_2021-10-31_final
2021-10-31 11:14:33	ga_s2am_ard_3-2-1_51JYN_2021-10-31_final
2021-11-14 10:56:01	ga_s2am_ard_3-2-1_52JFL_2021-11-14_final
2021-12-10 11:16:35	ga_s2am_ard_3-2-1_51HYD_2021-12-10_final
2022-01-15 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2022-01-15_final
2022-01-28 11:42:13	ga_s2am_ard_3-2-1_51KVB_2022-01-28_final
2022-03-03 11:24:44	ga_s2am_ard_3-2-1_51JXM_2022-03-03_final
2022-03-25 12:05:06	ga_s2am_ard_3-2-1_50JLR_2022-03-25_final
2022-03-26 11:35:36	ga_s2am_ard_3-2-1_51JTJ_2022-03-26_final
2022-03-29 11:45:49	ga_s2am_ard_3-2-1_50JQN_2022-03-29_final
2022-04-08 11:41:56	ga_s2am_ard_3-2-1_51LWC_2022-04-08_final
2022-04-25 11:36:38	ga_s2am_ard_3-2-1_51HUD_2022-04-25_final
2022-04-30 10:46:29	ga_s2am_ard_3-2-1_53HLD_2022-04-30_final
2022-05-19 11:12:39	ga_s2am_ard_3-2-1_52KFE_2022-05-19_final
2022-06-02 10:55:35	ga_s2am_ard_3-2-1_52JGN_2022-06-02_final
2022-06-11 11:22:43	ga_s2am_ard_3-2-1_52KCE_2022-06-11_final
2022-07-27 11:42:05	ga_s2am_ard_3-2-1_51LWC_2022-07-27_final
2022-09-08 11:57:02	ga_s2am_ard_3-2-1_50HMJ_2022-09-08_final.stac-item
2022-09-15 11:46:22	ga_s2am_ard_3-2-1_50JMM_2022-09-15_final.stac-item
2022-09-15 13:21:54	ga_s2am_ard_3-2-1_47LKG_2022-09-15_interim.stac-item
2022-10-02 11:31:46	ga_s2am_ard_3-2-1_51LYD_2022-10-02_final.stac-item
2022-11-11 11:37:06	ga_s2am_ard_3-2-1_50HQH_2022-11-11_final.stac-item
2022-12-29 10:53:13	ga_s2am_ard_3-2-1_52KHB_2022-12-29_final.stac-item
2023-01-01 11:02:14	ga_s2am_ard_3-2-1_52KGF_2023-01-01_final.stac-item
2023-01-07 11:23:05	ga_s2am_ard_3-2-1_51KZT_2023-01-07_final.stac-item
2023-01-20 11:33:51	ga_s2am_ard_3-2-1_51KWQ_2023-01-20_final.stac-item
2023-04-16 11:57:14	ga_s2am_ard_3-2-1_49HGC_2023-04-16_nrt.stac-item
2023-05-10 11:33:22	ga_s2am_ard_3-2-1_51KUT_2023-05-10_final.stac-item
2023-05-30 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-05-30_final.stac-item
2023-06-03 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2023-06-03_final.stac-item
2023-06-03 11:15:40	ga_s2am_ard_3-2-1_52JBN_2023-06-03_final.stac-item
2023-07-25 11:56:12	ga_s2am_ard_3-2-1_50JMM_2023-07-25_final.stac-item
2023-09-13 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-09-13_final.stac-item
2023-11-08 10:36:46	ga_s2am_ard_3-2-1_53HPB_2023-11-08_final.stac-item
2023-12-20 11:16:33	ga_s2am_ard_3-2-1_51HYD_2023-12-20_final.stac-item
2024-01-15 11:30:59	ga_s2am_ard_3-2-1_51LZF_2024-01-15_final.stac-item
2024-01-16 11:03:12	ga_s2am_ard_3-2-1_52KEB_2024-01-16_final.stac-item
2024-01-25 11:33:42	ga_s2am_ard_3-2-1_51KUR_2024-01-25_final.stac-item
2024-03-06 11:02:26	ga_s2am_ard_3-2-1_52KHE_2024-03-06_final.stac-item
2024-03-08 11:44:35	ga_s2am_ard_3-2-1_50JQT_2024-03-08_final.stac-item
2024-03-18 11:42:28	ga_s2am_ard_3-2-1_51KVA_2024-03-18_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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