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_52JBT_2015-11-25_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52KBD_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52KBV_2016-01-24_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KMV_2016-10-29_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KDC_2016-12-06_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWB_2016-12-22_final
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_52KGV_2016-12-30_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KUT_2017-02-10_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JFM_2017-04-09_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51LZD_2018-01-13_final
2018-02-09 11:07:09	ga_s2am_ard_3-2-1_52LGN_2018-02-09_final
2018-03-18 11:05:41	ga_s2am_ard_3-2-1_52JEM_2018-03-18_final
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_53HMD_2018-05-18_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLS_2018-06-04_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50KPA_2018-06-11_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KWQ_2018-06-22_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JXJ_2018-09-30_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JPN_2018-11-05_final
2018-11-09 11:25:23	ga_s2am_ard_3-2-1_51JWJ_2018-11-09_final
2018-11-19 11:25:59	ga_s2am_ard_3-2-1_51JUG_2018-11-19_final
2018-11-19 11:26:20	ga_s2am_ard_3-2-1_51HVE_2018-11-19_final
2018-12-12 11:36:50	ga_s2am_ard_3-2-1_50HQH_2018-12-12_final
2018-12-19 11:26:17	ga_s2am_ard_3-2-1_51HWE_2018-12-19_final
2019-01-01 11:32:26	ga_s2am_ard_3-2-1_51KVA_2019-01-01_final
2019-01-26 10:46:21	ga_s2am_ard_3-2-1_53HLD_2019-01-26_final
2019-03-11 10:26:36	ga_s2am_ard_3-2-1_53HNC_2019-03-11_final
2019-03-25 11:41:57	ga_s2am_ard_3-2-1_51LVC_2019-03-25_final
2019-05-01 11:36:06	ga_s2am_ard_3-2-1_51JTG_2019-05-01_final
2019-06-23 11:45:43	ga_s2am_ard_3-2-1_50JNP_2019-06-23_final
2019-06-23 11:46:13	ga_s2am_ard_3-2-1_50JNM_2019-06-23_final
2019-06-26 11:55:17	ga_s2am_ard_3-2-1_50JLR_2019-06-26_final
2019-08-03 11:10:41	ga_s2am_ard_3-2-1_52LHM_2019-08-03_final
2019-09-28 11:34:37	ga_s2am_ard_3-2-1_51JTN_2019-09-28_final
2020-01-16 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2020-01-16_final
2020-03-15 12:05:48	ga_s2am_ard_3-2-1_50JLN_2020-03-15_final
2020-03-30 11:14:33	ga_s2am_ard_3-2-1_52JDS_2020-03-30_final
2020-05-31 11:55:59	ga_s2am_ard_3-2-1_50JMN_2020-05-31_final
2020-06-30 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-06-30_final
2020-07-04 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2020-07-04_final
2020-08-07 11:16:11	ga_s2am_ard_3-2-1_52JBL_2020-08-07_final
2020-08-09 11:55:08	ga_s2am_ard_3-2-1_50JPR_2020-08-09_final
2020-08-23 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-08-23_final
2020-09-01 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-09-01_final
2020-10-08 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-10-08_final
2020-10-31 10:27:10	ga_s2am_ard_3-2-1_53HPA_2020-10-31_final
2020-11-10 12:05:56	ga_s2am_ard_3-2-1_50JLN_2020-11-10_final
2020-11-23 10:36:08	ga_s2am_ard_3-2-1_53HNE_2020-11-23_final
2020-11-25 11:13:46	ga_s2am_ard_3-2-1_52KEV_2020-11-25_final
2020-12-12 11:05:56	ga_s2am_ard_3-2-1_52JEL_2020-12-12_final
2020-12-19 10:55:44	ga_s2am_ard_3-2-1_52JFM_2020-12-19_final
2020-12-28 11:23:20	ga_s2am_ard_3-2-1_52KBB_2020-12-28_final
2021-01-29 10:26:54	ga_s2am_ard_3-2-1_53HNB_2021-01-29_final
2021-02-16 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2021-02-16_final
2021-02-23 11:12:06	ga_s2am_ard_3-2-1_52KDG_2021-02-23_final
2021-03-15 11:11:58	ga_s2am_ard_3-2-1_52KFG_2021-03-15_final
2021-03-18 11:23:09	ga_s2am_ard_3-2-1_51KYT_2021-03-18_final
2021-04-26 11:55:56	ga_s2am_ard_3-2-1_50JKN_2021-04-26_final
2021-06-08 12:03:38	ga_s2am_ard_3-2-1_50KMB_2021-06-08_final
2021-09-10 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-09-10_final
2021-09-10 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-09-10_final
2021-10-18 11:01:22	ga_s2am_ard_3-2-1_52LGK_2021-10-18_final
2021-10-27 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2021-10-27_final
2021-11-18 10:36:50	ga_s2am_ard_3-2-1_53HNB_2021-11-18_final
2021-12-14 10:55:45	ga_s2am_ard_3-2-1_52JFM_2021-12-14_final
2021-12-27 11:01:01	ga_s2am_ard_3-2-1_52LHL_2021-12-27_final
2022-01-23 10:55:31	ga_s2am_ard_3-2-1_52JFN_2022-01-23_final
2022-01-23 10:55:46	ga_s2am_ard_3-2-1_52JFM_2022-01-23_final
2022-02-01 11:26:40	ga_s2am_ard_3-2-1_51HWD_2022-02-01_final
2022-03-29 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2022-03-29_final
2022-05-09 11:12:46	ga_s2am_ard_3-2-1_52KFD_2022-05-09_final
2022-05-18 11:44:43	ga_s2am_ard_3-2-1_50JPT_2022-05-18_final
2022-06-02 10:55:06	ga_s2am_ard_3-2-1_52JFQ_2022-06-02_final
2022-06-28 11:13:43	ga_s2am_ard_3-2-1_52KEA_2022-06-28_final
2022-07-14 11:33:29	ga_s2am_ard_3-2-1_51KVT_2022-07-14_final
2022-07-22 10:56:00	ga_s2am_ard_3-2-1_52JEM_2022-07-22_final
2022-08-07 11:13:56	ga_s2am_ard_3-2-1_52KEV_2022-08-07_final
2022-08-16 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-08-16_final
2022-09-09 11:24:43	ga_s2am_ard_3-2-1_51JZM_2022-09-09_final.stac-item
2022-10-14 10:36:11	ga_s2am_ard_3-2-1_53HNE_2022-10-14_final.stac-item
2022-10-24 10:37:01	ga_s2am_ard_3-2-1_53HPA_2022-10-24_final.stac-item
2022-10-25 11:46:18	ga_s2am_ard_3-2-1_50JQL_2022-10-25_final.stac-item
2022-11-11 11:36:46	ga_s2am_ard_3-2-1_51HUD_2022-11-11_final.stac-item
2022-12-28 11:22:21	ga_s2am_ard_3-2-1_52KBF_2022-12-28_final.stac-item
2023-01-01 11:01:56	ga_s2am_ard_3-2-1_52KHG_2023-01-01_final.stac-item
2023-01-15 10:46:17	ga_s2am_ard_3-2-1_53HMD_2023-01-15_final.stac-item
2023-04-03 11:44:59	ga_s2am_ard_3-2-1_50JPR_2023-04-03_final.stac-item
2023-04-14 11:13:48	ga_s2am_ard_3-2-1_52KDV_2023-04-14_final.stac-item
2023-05-30 11:36:21	ga_s2am_ard_3-2-1_51JTF_2023-05-30_final.stac-item
2023-07-29 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-07-29_final.stac-item
2023-09-24 11:21:12	ga_s2am_ard_3-2-1_52LBL_2023-09-24_nrt.stac-item
2023-09-30 11:47:04	ga_s2am_ard_3-2-1_50HPH_2023-09-30_final.stac-item
2023-10-16 10:26:35	ga_s2am_ard_3-2-1_53HPC_2023-10-16_final.stac-item
2024-01-06 11:03:31	ga_s2am_ard_3-2-1_52KEA_2024-01-06_final.stac-item
2024-01-26 11:05:53	ga_s2am_ard_3-2-1_52JEL_2024-01-26_final.stac-item
2024-02-03 10:26:36	ga_s2am_ard_3-2-1_53HNC_2024-02-03_final.stac-item
2024-02-24 11:31:04	ga_s2am_ard_3-2-1_51LZF_2024-02-24_final.stac-item
2024-03-05 11:34:18	ga_s2am_ard_3-2-1_51KUP_2024-03-05_final.stac-item
2024-03-06 11:04:51	ga_s2am_ard_3-2-1_52JDR_2024-03-06_final.stac-item
2024-03-12 11:22:38	ga_s2am_ard_3-2-1_51KZV_2024-03-12_final.stac-item
2024-03-29 11:14:38	ga_s2am_ard_3-2-1_52JBS_2024-03-29_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