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
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JFS_2016-01-15_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMA_2016-06-04_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51KVT_2016-08-24_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51KVT_2016-10-03_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNH_2016-10-16_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDS_2016-12-13_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JFM_2017-04-09_final
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_51JTF_2017-05-01_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HUD_2017-10-05_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JGL_2017-10-20_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52JCP_2017-12-11_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KRC_2018-02-01_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51KZQ_2018-03-11_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HQJ_2018-04-09_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNQ_2018-04-22_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNS_2018-04-22_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KXT_2018-04-26_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KXT_2018-05-13_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDL_2018-06-06_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JDT_2018-06-09_final
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_51KYU_2018-08-01_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50JPL_2018-08-14_final
2018-11-22 11:33:14	ga_s2am_ard_3-2-1_51KXS_2018-11-22_final
2018-11-23 11:06:17	ga_s2am_ard_3-2-1_52HBK_2018-11-23_final
2019-01-21 11:33:41	ga_s2am_ard_3-2-1_51KVR_2019-01-21_final
2019-01-25 11:14:43	ga_s2am_ard_3-2-1_52JDR_2019-01-25_final
2019-02-06 11:55:43	ga_s2am_ard_3-2-1_50JKP_2019-02-06_final
2019-02-19 12:06:06	ga_s2am_ard_3-2-1_50JKM_2019-02-19_final
2019-03-15 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-03-15_final
2019-05-01 11:33:45	ga_s2am_ard_3-2-1_51KWR_2019-05-01_final
2019-05-31 11:33:04	ga_s2am_ard_3-2-1_51KVU_2019-05-31_final
2019-07-07 11:23:40	ga_s2am_ard_3-2-1_51KZR_2019-07-07_final
2019-07-30 11:33:08	ga_s2am_ard_3-2-1_51KWU_2019-07-30_final
2019-10-18 11:33:16	ga_s2am_ard_3-2-1_51KWT_2019-10-18_final
2019-11-11 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2019-11-11_final
2019-11-14 11:26:38	ga_s2am_ard_3-2-1_51HXD_2019-11-14_final
2019-11-24 11:22:53	ga_s2am_ard_3-2-1_51KZU_2019-11-24_final
2019-12-07 11:36:48	ga_s2am_ard_3-2-1_51HUC_2019-12-07_final
2019-12-17 11:33:32	ga_s2am_ard_3-2-1_51KXR_2019-12-17_final
2019-12-20 11:43:09	ga_s2am_ard_3-2-1_51KUT_2019-12-20_final
2020-02-12 11:23:36	ga_s2am_ard_3-2-1_51KXR_2020-02-12_final
2020-03-06 11:33:41	ga_s2am_ard_3-2-1_51KVR_2020-03-06_final
2020-04-02 11:23:51	ga_s2am_ard_3-2-1_51KXQ_2020-04-02_final
2020-04-05 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2020-04-05_final
2020-04-15 11:33:41	ga_s2am_ard_3-2-1_51KWR_2020-04-15_final
2020-04-16 11:05:26	ga_s2am_ard_3-2-1_52JFN_2020-04-16_final
2020-04-18 11:41:55	ga_s2am_ard_3-2-1_51LWC_2020-04-18_final
2020-06-11 11:26:50	ga_s2am_ard_3-2-1_51HVD_2020-06-11_final
2020-06-18 11:16:47	ga_s2am_ard_3-2-1_51HXD_2020-06-18_final
2020-07-07 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-07-07_final
2020-08-20 11:25:04	ga_s2am_ard_3-2-1_51JWL_2020-08-20_final
2020-10-21 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-21_final
2020-10-22 11:36:19	ga_s2am_ard_3-2-1_51JUF_2020-10-22_final
2020-11-18 11:25:09	ga_s2am_ard_3-2-1_51JYK_2020-11-18_final
2020-12-28 11:23:35	ga_s2am_ard_3-2-1_51KZR_2020-12-28_final
2021-01-10 11:32:55	ga_s2am_ard_3-2-1_51KXU_2021-01-10_final
2021-03-04 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-03-04_final
2021-03-21 11:32:39	ga_s2am_ard_3-2-1_51KXV_2021-03-21_final
2021-03-31 11:33:31	ga_s2am_ard_3-2-1_51KUS_2021-03-31_final
2021-05-13 11:43:14	ga_s2am_ard_3-2-1_51KUT_2021-05-13_final
2021-05-20 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-05-20_final
2021-05-20 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2021-05-20_final
2021-05-30 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-05-30_final
2021-05-30 11:33:49	ga_s2am_ard_3-2-1_51KUR_2021-05-30_final
2021-06-13 11:14:09	ga_s2am_ard_3-2-1_51KZP_2021-06-13_final
2021-06-21 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-21_final
2021-07-19 11:33:49	ga_s2am_ard_3-2-1_51KWR_2021-07-19_final
2021-08-28 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2021-08-28_final
2021-11-13 11:23:30	ga_s2am_ard_3-2-1_51KXS_2021-11-13_final
2021-11-26 11:33:30	ga_s2am_ard_3-2-1_51KVS_2021-11-26_final
2021-12-04 10:55:45	ga_s2am_ard_3-2-1_52JFM_2021-12-04_final
2021-12-23 11:22:53	ga_s2am_ard_3-2-1_51KZU_2021-12-23_final
2022-01-08 11:42:08	ga_s2am_ard_3-2-1_51KWB_2022-01-08_final
2022-02-04 11:33:23	ga_s2am_ard_3-2-1_51KXS_2022-02-04_final
2022-05-30 10:46:08	ga_s2am_ard_3-2-1_52JGL_2022-05-30_final
2022-07-21 11:26:57	ga_s2am_ard_3-2-1_51HVD_2022-07-21_final
2022-08-01 10:54:43	ga_s2am_ard_3-2-1_52JFS_2022-08-01_final
2022-09-22 11:33:38	ga_s2am_ard_3-2-1_51KVS_2022-09-22_final.stac-item
2022-11-01 11:33:34	ga_s2am_ard_3-2-1_51KVS_2022-11-01_final.stac-item
2022-12-15 11:14:34	ga_s2am_ard_3-2-1_52JCS_2022-12-15_final.stac-item
2022-12-21 11:33:25	ga_s2am_ard_3-2-1_51KWS_2022-12-21_final.stac-item
2023-03-09 10:55:51	ga_s2am_ard_3-2-1_52JGL_2023-03-09_final.stac-item
2023-03-24 11:42:44	ga_s2am_ard_3-2-1_51KUV_2023-03-24_final.stac-item
2023-03-25 11:16:29	ga_s2am_ard_3-2-1_51HWE_2023-03-25_final.stac-item
2023-04-08 10:55:56	ga_s2am_ard_3-2-1_52JGL_2023-04-08_final.stac-item
2023-04-10 11:33:24	ga_s2am_ard_3-2-1_51KXS_2023-04-10_final.stac-item
2023-05-17 11:23:11	ga_s2am_ard_3-2-1_51KYT_2023-05-17_final.stac-item
2023-05-21 11:05:40	ga_s2am_ard_3-2-1_52JCN_2023-05-21_final.stac-item
2023-06-18 12:03:48	ga_s2am_ard_3-2-1_50KKB_2023-06-18_final.stac-item
2023-06-19 11:35:34	ga_s2am_ard_3-2-1_51JUJ_2023-06-19_final.stac-item
2023-06-26 11:24:07	ga_s2am_ard_3-2-1_51KXQ_2023-06-26_final.stac-item
2023-06-30 11:04:47	ga_s2am_ard_3-2-1_52JFR_2023-06-30_final.stac-item
2023-07-05 11:55:44	ga_s2am_ard_3-2-1_50JMP_2023-07-05_final.stac-item
2023-08-21 11:43:21	ga_s2am_ard_3-2-1_51KUT_2023-08-21_final.stac-item
2023-09-03 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-09-03_final.stac-item
2023-10-27 11:33:16	ga_s2am_ard_3-2-1_51KVT_2023-10-27_final.stac-item
2023-12-16 11:33:12	ga_s2am_ard_3-2-1_51KVT_2023-12-16_final.stac-item
2024-01-02 11:26:55	ga_s2am_ard_3-2-1_51HVC_2024-01-02_final.stac-item
2024-01-25 11:31:36	ga_s2am_ard_3-2-1_51LXD_2024-01-25_final.stac-item
2024-03-25 11:34:06	ga_s2am_ard_3-2-1_51KXP_2024-03-25_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