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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXG_2015-11-25_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHN_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKV_2016-06-04_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JPT_2016-07-01_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPK_2016-07-08_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JCN_2016-09-14_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KXU_2016-12-09_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDS_2016-12-13_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KCC_2017-01-25_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KDE_2017-01-25_final
2017-03-20 10:53:07	ga_s2am_ard_3-2-1_52JGL_2017-03-20_final
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52JDL_2017-09-09_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JUF_2017-09-15_final
2017-11-01 11:07:12	ga_s2am_ard_3-2-1_52KFG_2017-11-01_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPL_2017-12-10_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KFE_2018-01-30_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNR_2018-02-01_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51LVC_2018-02-08_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51HYD_2018-03-21_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JLM_2018-04-22_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JYL_2018-04-23_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_51HYD_2018-06-19_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKM_2018-07-01_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNJ_2018-07-28_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPH_2018-10-26_final
2018-11-06 11:15:28	ga_s2am_ard_3-2-1_52JCN_2018-11-06_final
2019-01-03 12:14:54	ga_s2am_ard_3-2-1_49JFM_2019-01-03_final
2019-01-05 11:16:31	ga_s2am_ard_3-2-1_51HYD_2019-01-05_final
2019-02-20 11:32:28	ga_s2am_ard_3-2-1_51KVA_2019-02-20_final
2019-02-24 11:16:04	ga_s2am_ard_3-2-1_51JYF_2019-02-24_final
2019-03-06 11:15:37	ga_s2am_ard_3-2-1_51JXH_2019-03-06_final
2019-03-16 11:13:04	ga_s2am_ard_3-2-1_52KCC_2019-03-16_final
2019-03-22 11:32:27	ga_s2am_ard_3-2-1_51KWA_2019-03-22_final
2019-04-14 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2019-04-14_final
2019-06-30 11:32:05	ga_s2am_ard_3-2-1_51LWC_2019-06-30_final
2019-08-09 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-08-09_final
2019-08-15 11:53:28	ga_s2am_ard_3-2-1_50KNC_2019-08-15_final
2019-10-12 11:15:39	ga_s2am_ard_3-2-1_52JBN_2019-10-12_final
2019-10-15 11:26:47	ga_s2am_ard_3-2-1_51HVD_2019-10-15_final
2019-12-01 11:16:04	ga_s2am_ard_3-2-1_52JBL_2019-12-01_final
2020-02-08 11:45:06	ga_s2am_ard_3-2-1_51JTK_2020-02-08_final
2020-02-21 11:56:02	ga_s2am_ard_3-2-1_50JMM_2020-02-21_final
2020-04-21 11:57:07	ga_s2am_ard_3-2-1_50HMH_2020-04-21_final
2020-04-28 11:42:24	ga_s2am_ard_3-2-1_51KWA_2020-04-28_final
2020-05-19 11:13:29	ga_s2am_ard_3-2-1_52KCB_2020-05-19_final
2020-05-22 11:22:13	ga_s2am_ard_3-2-1_52KBG_2020-05-22_final
2020-09-16 11:15:41	ga_s2am_ard_3-2-1_52JBN_2020-09-16_final
2020-09-22 11:32:55	ga_s2am_ard_3-2-1_51KYU_2020-09-22_final
2021-01-31 11:04:29	ga_s2am_ard_3-2-1_52JFS_2021-01-31_final
2021-02-10 11:03:52	ga_s2am_ard_3-2-1_52KDV_2021-02-10_final
2021-02-16 11:21:24	ga_s2am_ard_3-2-1_51LZE_2021-02-16_final
2021-03-21 11:31:41	ga_s2am_ard_3-2-1_51LXD_2021-03-21_final
2021-04-27 11:21:22	ga_s2am_ard_3-2-1_51LZE_2021-04-27_final
2021-08-05 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2021-08-05_final
2021-10-20 11:46:02	ga_s2am_ard_3-2-1_51JTG_2021-10-20_final
2021-10-31 11:13:23	ga_s2am_ard_3-2-1_52KDB_2021-10-31_final
2021-11-22 11:53:43	ga_s2am_ard_3-2-1_50KMB_2021-11-22_final
2021-11-23 11:24:32	ga_s2am_ard_3-2-1_52JBS_2021-11-23_final
2022-01-15 11:31:36	ga_s2am_ard_3-2-1_51LZD_2022-01-15_final
2022-02-01 11:23:43	ga_s2am_ard_3-2-1_51KXR_2022-02-01_final
2022-03-03 11:24:59	ga_s2am_ard_3-2-1_51JXL_2022-03-03_final
2022-03-27 11:06:06	ga_s2am_ard_3-2-1_52JDL_2022-03-27_final
2022-04-29 11:16:42	ga_s2am_ard_3-2-1_51HYD_2022-04-29_final
2022-05-14 12:05:45	ga_s2am_ard_3-2-1_50JKP_2022-05-14_final
2022-05-29 11:13:44	ga_s2am_ard_3-2-1_52KCA_2022-05-29_final
2022-06-01 11:26:26	ga_s2am_ard_3-2-1_51JUF_2022-06-01_final
2022-07-07 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-07-07_final
2022-07-08 11:16:54	ga_s2am_ard_3-2-1_51HXD_2022-07-08_final
2022-07-14 11:36:32	ga_s2am_ard_3-2-1_50JQL_2022-07-14_final
2022-07-21 11:25:24	ga_s2am_ard_3-2-1_51JWK_2022-07-21_final
2022-07-21 11:26:11	ga_s2am_ard_3-2-1_51JVG_2022-07-21_final
2022-10-18 11:56:17	ga_s2am_ard_3-2-1_50JKM_2022-10-18_final.stac-item
2022-10-22 11:36:21	ga_s2am_ard_3-2-1_50JQL_2022-10-22_final.stac-item
2022-11-30 12:05:55	ga_s2am_ard_3-2-1_50JKN_2022-11-30_final.stac-item
2023-01-04 11:14:22	ga_s2am_ard_3-2-1_51JZN_2023-01-04_final.stac-item
2023-01-08 10:54:46	ga_s2am_ard_3-2-1_52JFR_2023-01-08_final.stac-item
2023-01-10 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-10_final.stac-item
2023-02-19 11:31:03	ga_s2am_ard_3-2-1_51LZF_2023-02-19_final.stac-item
2023-02-22 11:42:54	ga_s2am_ard_3-2-1_51KVU_2023-02-22_final.stac-item
2023-02-24 10:45:58	ga_s2am_ard_3-2-1_52JGL_2023-02-24_final.stac-item
2023-04-16 11:56:22	ga_s2am_ard_3-2-1_50JML_2023-04-16_final.stac-item
2023-05-09 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-05-09_final.stac-item
2023-05-23 11:46:44	ga_s2am_ard_3-2-1_50HMK_2023-05-23_final.stac-item
2023-06-18 12:04:11	ga_s2am_ard_3-2-1_50KMV_2023-06-18_final.stac-item
2023-06-18 12:06:14	ga_s2am_ard_3-2-1_50JKM_2023-06-18_final.stac-item
2023-06-20 11:03:31	ga_s2am_ard_3-2-1_52KGA_2023-06-20_final.stac-item
2023-06-23 12:51:03	ga_s2am_ard_3-2-1_48LWP_2023-06-23_final.stac-item
2023-06-30 11:02:37	ga_s2am_ard_3-2-1_52KFE_2023-06-30_final.stac-item
2023-07-23 11:16:39	ga_s2am_ard_3-2-1_52HBJ_2023-07-23_nrt.stac-item
2023-08-02 11:16:40	ga_s2am_ard_3-2-1_52HBJ_2023-08-02_nrt.stac-item
2023-08-12 11:16:10	ga_s2am_ard_3-2-1_52JBL_2023-08-12_final.stac-item
2023-09-13 11:57:19	ga_s2am_ard_3-2-1_49HGC_2023-09-13_nrt.stac-item
2023-12-30 11:16:31	ga_s2am_ard_3-2-1_52HBJ_2023-12-30_final.stac-item
2024-03-09 11:15:12	ga_s2am_ard_3-2-1_52JDP_2024-03-09_final.stac-item
2024-03-12 11:24:32	ga_s2am_ard_3-2-1_51JZM_2024-03-12_final.stac-item
2024-03-19 11:16:06	ga_s2am_ard_3-2-1_52JBL_2024-03-19_final.stac-item
2024-03-22 11:22:24	ga_s2am_ard_3-2-1_52KBF_2024-03-22_final.stac-item
2024-03-22 11:22:49	ga_s2am_ard_3-2-1_52KCD_2024-03-22_final.stac-item
2024-03-26 11:03:57	ga_s2am_ard_3-2-1_52KGU_2024-03-26_final.stac-item
2024-04-24 11:36:34	ga_s2am_ard_3-2-1_51HTE_2024-04-24_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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