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_51JUF_2015-11-25_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMU_2016-03-03_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51HXD_2016-07-09_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KXP_2016-07-22_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JVF_2016-12-12_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVA_2017-01-24_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JFM_2017-03-14_final
2017-04-01 11:28:22	ga_s2am_ard_3-2-1_51KYT_2017-04-01_final.stac-item
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KYS_2017-07-17_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JXG_2017-08-13_final
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52JBL_2017-09-09_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKM_2017-10-17_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_51KUR_2017-10-31_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JWK_2018-02-22_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51LVC_2018-02-28_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51HYD_2018-03-01_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKN_2018-03-16_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JNL_2018-08-30_final
2018-11-09 11:24:36	ga_s2am_ard_3-2-1_51JXM_2018-11-09_final
2018-11-09 11:24:50	ga_s2am_ard_3-2-1_51JXL_2018-11-09_final
2019-01-11 11:33:40	ga_s2am_ard_3-2-1_51KVR_2019-01-11_final
2019-03-09 11:26:56	ga_s2am_ard_3-2-1_51HUC_2019-03-09_final
2019-03-22 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2019-03-22_final
2019-03-23 11:06:22	ga_s2am_ard_3-2-1_52HBK_2019-03-23_final
2019-03-25 11:44:30	ga_s2am_ard_3-2-1_51JTN_2019-03-25_final
2019-04-01 11:36:05	ga_s2am_ard_3-2-1_50JQM_2019-04-01_final
2019-04-07 11:57:07	ga_s2am_ard_3-2-1_50HMH_2019-04-07_final
2019-04-10 12:05:39	ga_s2am_ard_3-2-1_50JLP_2019-04-10_final
2019-04-14 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2019-04-14_final
2019-05-01 11:36:41	ga_s2am_ard_3-2-1_50HPK_2019-05-01_final
2019-05-28 11:26:57	ga_s2am_ard_3-2-1_51HVC_2019-05-28_final
2019-06-22 12:14:12	ga_s2am_ard_3-2-1_50KKV_2019-06-22_final
2019-06-23 11:45:11	ga_s2am_ard_3-2-1_50JPR_2019-06-23_final
2019-07-26 11:56:23	ga_s2am_ard_3-2-1_50JNL_2019-07-26_final
2019-08-29 11:34:38	ga_s2am_ard_3-2-1_50JRT_2019-08-29_final
2019-10-11 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-10-11_final
2019-10-31 11:47:18	ga_s2am_ard_3-2-1_50HPG_2019-10-31_final.stac-item
2019-11-27 11:33:16	ga_s2am_ard_3-2-1_51KVT_2019-11-27_final
2020-01-06 11:32:38	ga_s2am_ard_3-2-1_51KWV_2020-01-06_final
2020-02-12 11:26:51	ga_s2am_ard_3-2-1_51HVC_2020-02-12_final
2020-02-19 11:15:48	ga_s2am_ard_3-2-1_51JYG_2020-02-19_final
2020-03-26 11:32:59	ga_s2am_ard_3-2-1_51KXU_2020-03-26_final
2020-04-26 11:06:00	ga_s2am_ard_3-2-1_52JBM_2020-04-26_final
2020-05-22 11:22:00	ga_s2am_ard_3-2-1_51LZC_2020-05-22_final
2020-06-27 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-06-27_final
2020-08-12 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-08-12_final
2020-08-20 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-08-20_final
2020-09-02 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-09-02_final
2020-11-11 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2020-11-11_final
2020-12-07 11:53:08	ga_s2am_ard_3-2-1_50KRC_2020-12-07_final
2020-12-11 11:33:20	ga_s2am_ard_3-2-1_51KXS_2020-12-11_final
2020-12-11 11:34:28	ga_s2am_ard_3-2-1_51JUN_2020-12-11_final
2020-12-21 11:31:55	ga_s2am_ard_3-2-1_51LXC_2020-12-21_final
2020-12-21 11:32:35	ga_s2am_ard_3-2-1_51KYV_2020-12-21_final
2021-03-21 11:32:24	ga_s2am_ard_3-2-1_51KXA_2021-03-21_final
2021-05-24 11:13:41	ga_s2am_ard_3-2-1_51KZR_2021-05-24_final
2021-05-24 11:14:56	ga_s2am_ard_3-2-1_51JYL_2021-05-24_final
2021-06-19 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-06-19_final
2021-06-25 11:55:51	ga_s2am_ard_3-2-1_50JNN_2021-06-25_final
2021-06-29 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2021-06-29_final
2021-07-29 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-29_final
2021-08-05 11:23:03	ga_s2am_ard_3-2-1_51KXU_2021-08-05_final
2021-11-06 11:37:01	ga_s2am_ard_3-2-1_51HUC_2021-11-06_final
2021-11-18 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-11-18_final
2021-11-19 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-11-19_final
2022-01-15 11:32:23	ga_s2am_ard_3-2-1_51KYA_2022-01-15_final
2022-03-03 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2022-03-03_final
2022-03-20 11:14:27	ga_s2am_ard_3-2-1_51JZN_2022-03-20_final
2022-03-22 11:54:29	ga_s2am_ard_3-2-1_50KMU_2022-03-22_final
2022-04-18 11:43:25	ga_s2am_ard_3-2-1_50KQC_2022-04-18_final
2022-05-11 11:55:50	ga_s2am_ard_3-2-1_50JKP_2022-05-11_final
2022-05-12 11:26:51	ga_s2am_ard_3-2-1_51HUD_2022-05-12_final
2022-07-20 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-07-20_final
2022-08-06 11:41:29	ga_s2am_ard_3-2-1_51LUF_2022-08-06_final
2022-08-16 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-08-16_final
2022-09-22 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-09-22_final.stac-item
2022-11-21 11:32:12	ga_s2am_ard_3-2-1_51KXB_2022-11-21_final.stac-item
2022-11-25 11:16:07	ga_s2am_ard_3-2-1_51JYF_2022-11-25_final.stac-item
2022-12-30 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-12-30_final.stac-item
2022-12-31 11:31:55	ga_s2am_ard_3-2-1_51LXC_2022-12-31_final.stac-item
2023-01-07 11:26:39	ga_s2am_ard_3-2-1_51HWD_2023-01-07_final.stac-item
2023-01-20 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-01-20_final.stac-item
2023-02-22 11:43:27	ga_s2am_ard_3-2-1_51KUS_2023-02-22_final.stac-item
2023-03-04 11:42:39	ga_s2am_ard_3-2-1_51KVV_2023-03-04_final.stac-item
2023-03-28 11:27:05	ga_s2am_ard_3-2-1_51HTC_2023-03-28_final.stac-item
2023-04-14 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-04-14_final.stac-item
2023-06-26 11:26:18	ga_s2am_ard_3-2-1_51JVF_2023-06-26_final.stac-item
2023-08-09 11:06:11	ga_s2am_ard_3-2-1_52JCL_2023-08-09_final.stac-item
2023-08-21 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2023-08-21_final.stac-item
2023-08-31 11:42:18	ga_s2am_ard_3-2-1_51KVB_2023-08-31_final.stac-item
2023-11-13 11:26:35	ga_s2am_ard_3-2-1_51HXD_2023-11-13_final.stac-item
2023-11-17 11:05:01	ga_s2am_ard_3-2-1_52JDQ_2023-11-17_final.stac-item
2024-01-02 11:26:02	ga_s2am_ard_3-2-1_51JUG_2024-01-02_final.stac-item
2024-01-28 11:41:55	ga_s2am_ard_3-2-1_51LWC_2024-01-28_final.stac-item
2024-02-16 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2024-02-16_final.stac-item
2024-02-27 11:43:14	ga_s2am_ard_3-2-1_51KUT_2024-02-27_final.stac-item
2024-03-02 11:23:07	ga_s2am_ard_3-2-1_51KZT_2024-03-02_final.stac-item
2024-03-05 11:33:31	ga_s2am_ard_3-2-1_51KVS_2024-03-05_final.stac-item
2024-03-12 11:23:28	ga_s2am_ard_3-2-1_51KXS_2024-03-12_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