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
2015-11-24 10:15:11	ga_s2am_ard_3-2-1_54HTH_2015-11-24_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JHM_2016-01-06_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUB_2016-05-29_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JCQ_2016-07-09_final.stac-item
2016-07-13 10:52:20	ga_s2am_ard_3-2-1_53KMR_2016-07-13_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KVT_2016-07-28_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50HMK_2016-07-31_final.stac-item
2016-08-28 11:12:16	ga_s2am_ard_3-2-1_52JDT_2016-08-28_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HTC_2016-09-20_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51LVC_2016-09-26_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JLN_2016-10-09_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52KEV_2016-10-27_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_52KFG_2016-12-03_final.stac-item
2017-01-03 10:33:32	ga_s2am_ard_3-2-1_53HPB_2017-01-03_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUV_2017-01-14_final
2017-01-16 10:38:05	ga_s2am_ard_3-2-1_53LNC_2017-01-16_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LDJ_2017-01-25_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52KHG_2017-02-11_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_50KRD_2017-02-13_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQP_2017-03-25_final
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53KPP_2017-05-06_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_53JRM_2017-06-29_final
2017-07-09 10:26:37	ga_s2am_ard_3-2-1_53HQA_2017-07-09_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JUG_2017-08-19_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2017-09-07_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_53JKJ_2017-10-06_final
2017-11-02 10:43:05	ga_s2am_ard_3-2-1_53JPN_2017-11-02_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52KFC_2017-11-08_final
2018-01-18 10:27:01	ga_s2am_ard_3-2-1_53KQV_2018-01-18_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52LGK_2018-02-19_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50JQR_2018-03-30_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JDQ_2018-06-09_final
2018-06-30 10:37:28	ga_s2am_ard_3-2-1_53KNS_2018-06-30_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_53JKK_2018-08-02_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51HWD_2018-08-21_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HUD_2018-09-30_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JFM_2018-10-25_final
2019-04-11 11:33:36	ga_s2am_ard_3-2-1_51KUS_2019-04-11_final
2019-06-07 11:24:00	ga_s2am_ard_3-2-1_51KWQ_2019-06-07_final
2019-07-07 11:23:12	ga_s2am_ard_3-2-1_51KZT_2019-07-07_final
2019-07-20 11:34:50	ga_s2am_ard_3-2-1_50JRS_2019-07-20_final
2019-07-24 11:13:59	ga_s2am_ard_3-2-1_52KBV_2019-07-24_final
2019-08-10 11:06:07	ga_s2am_ard_3-2-1_52JDL_2019-08-10_final
2019-08-19 11:33:15	ga_s2am_ard_3-2-1_51KWT_2019-08-19_final
2019-08-21 10:36:19	ga_s2am_ard_3-2-1_53HLE_2019-08-21_final
2019-12-10 11:42:53	ga_s2am_ard_3-2-1_51KVU_2019-12-10_final
2019-12-17 11:31:12	ga_s2am_ard_3-2-1_52LBK_2019-12-17_final
2020-01-03 11:25:28	ga_s2am_ard_3-2-1_51JYH_2020-01-03_final
2020-01-04 10:54:53	ga_s2am_ard_3-2-1_52JGQ_2020-01-04_final
2020-02-08 11:43:17	ga_s2am_ard_3-2-1_51KVS_2020-02-08_final
2020-02-10 10:43:59	ga_s2am_ard_3-2-1_53JNN_2020-02-10_final
2020-04-05 11:33:38	ga_s2am_ard_3-2-1_51KWR_2020-04-05_final
2020-05-15 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-05-15_final
2020-05-19 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-05-19_final
2020-06-11 11:26:46	ga_s2am_ard_3-2-1_51HWD_2020-06-11_final
2020-08-20 11:23:12	ga_s2am_ard_3-2-1_52KBC_2020-08-20_final
2020-09-22 11:33:22	ga_s2am_ard_3-2-1_51KVT_2020-09-22_final
2021-02-07 10:52:51	ga_s2am_ard_3-2-1_53KMT_2021-02-07_final
2021-03-25 11:11:14	ga_s2am_ard_3-2-1_52LFK_2021-03-25_final
2021-05-06 11:56:21	ga_s2am_ard_3-2-1_50JML_2021-05-06_final
2021-11-08 10:34:25	ga_s2am_ard_3-2-1_53JPM_2021-11-08_final
2021-11-10 11:16:14	ga_s2am_ard_3-2-1_51JXF_2021-11-10_final
2021-11-20 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-11-20_final
2021-11-23 11:25:39	ga_s2am_ard_3-2-1_51JXH_2021-11-23_final
2021-11-23 11:25:53	ga_s2am_ard_3-2-1_51JXG_2021-11-23_final
2021-11-26 09:58:05	ga_s2am_ard_3-2-1_54GYA_2021-11-26_final
2022-01-05 11:32:02	ga_s2am_ard_3-2-1_51LWC_2022-01-05_final
2022-01-22 11:23:03	ga_s2am_ard_3-2-1_52KCC_2022-01-22_final
2022-02-04 11:31:53	ga_s2am_ard_3-2-1_51LYC_2022-02-04_final
2022-02-04 11:33:09	ga_s2am_ard_3-2-1_51KXT_2022-02-04_final
2022-02-24 11:33:15	ga_s2am_ard_3-2-1_51KWT_2022-02-24_final
2022-03-03 11:25:42	ga_s2am_ard_3-2-1_51JXH_2022-03-03_final
2022-03-26 11:34:52	ga_s2am_ard_3-2-1_50JRS_2022-03-26_final
2022-05-12 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-05-12_final
2022-05-12 11:27:02	ga_s2am_ard_3-2-1_51HVC_2022-05-12_final
2022-06-05 11:06:11	ga_s2am_ard_3-2-1_52JDL_2022-06-05_final
2022-06-11 11:23:44	ga_s2am_ard_3-2-1_52KBA_2022-06-11_final
2022-07-10 11:55:26	ga_s2am_ard_3-2-1_50JLR_2022-07-10_final
2022-07-26 10:34:03	ga_s2am_ard_3-2-1_53KPP_2022-07-26_final
2022-08-17 11:16:00	ga_s2am_ard_3-2-1_52JCM_2022-08-17_final
2022-09-14 10:34:35	ga_s2am_ard_3-2-1_53JNM_2022-09-14_final.stac-item
2022-09-27 10:43:55	ga_s2am_ard_3-2-1_53KPP_2022-09-27_final.stac-item
2022-09-27 10:44:05	ga_s2am_ard_3-2-1_53KLP_2022-09-27_final.stac-item
2022-10-12 11:36:32	ga_s2am_ard_3-2-1_50JPL_2022-10-12_final.stac-item
2022-12-18 11:27:01	ga_s2am_ard_3-2-1_51HUC_2022-12-18_final.stac-item
2023-01-08 10:54:34	ga_s2am_ard_3-2-1_53JKL_2023-01-08_final.stac-item
2023-02-20 11:02:29	ga_s2am_ard_3-2-1_52KGE_2023-02-20_final.stac-item
2023-03-02 11:01:10	ga_s2am_ard_3-2-1_53LKE_2023-03-02_final.stac-item
2023-03-22 11:00:29	ga_s2am_ard_3-2-1_52LHN_2023-03-22_final.stac-item
2023-04-28 10:55:03	ga_s2am_ard_3-2-1_53JLJ_2023-04-28_final.stac-item
2023-05-29 10:26:21	ga_s2am_ard_3-2-1_53HQD_2023-05-29_final.stac-item
2023-06-21 10:34:29	ga_s2am_ard_3-2-1_53JNM_2023-06-21_final.stac-item
2023-08-17 10:24:25	ga_s2am_ard_3-2-1_53JRM_2023-08-17_final.stac-item
2023-09-17 09:58:09	ga_s2am_ard_3-2-1_54GYA_2023-09-17_final.stac-item
2023-10-31 11:14:59	ga_s2am_ard_3-2-1_52JDQ_2023-10-31_final.stac-item
2023-12-08 10:34:01	ga_s2am_ard_3-2-1_53JPN_2023-12-08_final.stac-item
2023-12-10 11:12:01	ga_s2am_ard_3-2-1_52KDG_2023-12-10_final.stac-item
2023-12-15 10:26:37	ga_s2am_ard_3-2-1_53HPC_2023-12-15_final.stac-item
2024-02-16 10:32:02	ga_s2am_ard_3-2-1_53KRA_2024-02-16_final.stac-item
2024-03-31 11:57:12	ga_s2am_ard_3-2-1_50HKH_2024-03-31_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