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_51KZU_2015-11-25_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51HXD_2016-03-11_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUB_2016-05-29_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JCM_2016-08-05_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JKM_2016-08-30_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNT_2016-10-29_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51KZP_2016-12-06_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KVA_2016-12-22_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQV_2017-01-14_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVA_2017-01-14_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KYA_2017-01-18_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JLM_2017-01-30_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51KWP_2017-02-27_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JQP_2017-08-12_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLH_2017-11-13_final
2017-12-03 11:49:15	ga_s2am_ard_3-2-1_50KQC_2017-12-03_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JWH_2017-12-04_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KWT_2018-04-06_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52JCS_2018-04-20_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KXT_2018-04-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVN_2018-06-05_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPM_2018-06-18_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-09-06_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HPJ_2018-10-06_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JLN_2018-10-12_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPH_2018-10-13_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGK_2018-10-15_final
2018-12-15 11:47:01	ga_s2am_ard_3-2-1_50HMH_2018-12-15_final
2019-01-04 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2019-01-04_final
2019-02-06 11:56:07	ga_s2am_ard_3-2-1_50JKM_2019-02-06_final
2019-06-17 11:23:39	ga_s2am_ard_3-2-1_51KXR_2019-06-17_final
2019-09-21 11:43:25	ga_s2am_ard_3-2-1_51KVS_2019-09-21_final
2019-10-18 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-10-18_final
2019-12-09 12:14:56	ga_s2am_ard_3-2-1_49JFM_2019-12-09_final
2020-01-09 11:43:45	ga_s2am_ard_3-2-1_50KQA_2020-01-09_final
2020-02-25 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2020-02-25_final
2020-04-16 11:04:55	ga_s2am_ard_3-2-1_52JCR_2020-04-16_final
2020-05-02 11:23:31	ga_s2am_ard_3-2-1_51KXS_2020-05-02_final
2020-05-25 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-05-25_final
2020-05-25 11:33:48	ga_s2am_ard_3-2-1_51KWR_2020-05-25_final
2020-06-03 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-06-03_final
2020-07-01 11:23:48	ga_s2am_ard_3-2-1_51KXR_2020-07-01_final
2020-07-01 11:24:03	ga_s2am_ard_3-2-1_51KZP_2020-07-01_final
2020-07-14 11:36:22	ga_s2am_ard_3-2-1_51JTF_2020-07-14_final
2020-08-03 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-08-03_final
2020-08-20 11:25:22	ga_s2am_ard_3-2-1_51JVK_2020-08-20_final
2020-11-11 11:33:02	ga_s2am_ard_3-2-1_51KWU_2020-11-11_final
2020-11-24 11:43:23	ga_s2am_ard_3-2-1_50KQC_2020-11-24_final
2020-11-24 11:43:53	ga_s2am_ard_3-2-1_50KQA_2020-11-24_final
2020-11-25 11:14:42	ga_s2am_ard_3-2-1_51JYM_2020-11-25_final
2020-12-04 11:43:23	ga_s2am_ard_3-2-1_51KVS_2020-12-04_final
2020-12-11 11:32:58	ga_s2am_ard_3-2-1_51KVU_2020-12-11_final
2020-12-11 11:35:09	ga_s2am_ard_3-2-1_51JVK_2020-12-11_final
2021-02-02 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-02-02_final
2021-02-15 11:55:14	ga_s2am_ard_3-2-1_50JPQ_2021-02-15_final
2021-03-08 11:26:29	ga_s2am_ard_3-2-1_51HVE_2021-03-08_final
2021-04-10 11:35:29	ga_s2am_ard_3-2-1_51JTJ_2021-04-10_final
2021-05-27 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-05-27_final
2021-06-02 11:43:48	ga_s2am_ard_3-2-1_51KTR_2021-06-02_final
2021-06-03 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2021-06-03_final
2021-07-16 11:26:39	ga_s2am_ard_3-2-1_51HXD_2021-07-16_final
2021-08-04 11:53:14	ga_s2am_ard_3-2-1_50KRC_2021-08-04_final
2021-09-04 11:24:23	ga_s2am_ard_3-2-1_51JYN_2021-09-04_final
2021-10-27 11:36:25	ga_s2am_ard_3-2-1_50JQL_2021-10-27_final
2021-10-27 11:36:28	ga_s2am_ard_3-2-1_51HVE_2021-10-27_final
2021-10-27 11:36:43	ga_s2am_ard_3-2-1_50HPK_2021-10-27_final
2021-11-20 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2021-11-20_final
2021-12-17 11:06:03	ga_s2am_ard_3-2-1_52JDL_2021-12-17_final
2021-12-23 11:21:56	ga_s2am_ard_3-2-1_51LZC_2021-12-23_final
2021-12-23 11:23:11	ga_s2am_ard_3-2-1_51KZT_2021-12-23_final
2022-02-14 11:33:02	ga_s2am_ard_3-2-1_51KYT_2022-02-14_final
2022-03-23 11:27:05	ga_s2am_ard_3-2-1_51HUC_2022-03-23_final
2022-03-26 11:36:26	ga_s2am_ard_3-2-1_51HVE_2022-03-26_final
2022-03-29 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2022-03-29_final
2022-05-01 11:53:30	ga_s2am_ard_3-2-1_50KNC_2022-05-01_final
2022-07-21 11:26:11	ga_s2am_ard_3-2-1_51JVG_2022-07-21_final
2022-07-30 11:55:12	ga_s2am_ard_3-2-1_50JPR_2022-07-30_final
2022-09-02 11:33:25	ga_s2am_ard_3-2-1_51KWT_2022-09-02_final.stac-item
2022-09-02 11:36:32	ga_s2am_ard_3-2-1_50JQL_2022-09-02_final.stac-item
2022-09-06 11:16:52	ga_s2am_ard_3-2-1_51HXD_2022-09-06_final.stac-item
2022-09-22 11:33:30	ga_s2am_ard_3-2-1_51KXS_2022-09-22_final.stac-item
2022-09-22 11:36:53	ga_s2am_ard_3-2-1_51HTD_2022-09-22_final.stac-item
2022-10-05 13:21:51	ga_s2am_ard_3-2-1_47LKG_2022-10-05_interim.stac-item
2022-12-21 11:32:27	ga_s2am_ard_3-2-1_51KWA_2022-12-21_final.stac-item
2022-12-21 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2022-12-21_final.stac-item
2023-03-18 11:27:00	ga_s2am_ard_3-2-1_51HUC_2023-03-18_final.stac-item
2023-03-24 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-03-24_final.stac-item
2023-04-14 11:14:41	ga_s2am_ard_3-2-1_51JYM_2023-04-14_final.stac-item
2023-04-27 11:21:11	ga_s2am_ard_3-2-1_51LZF_2023-04-27_nrt.stac-item
2023-05-14 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2023-05-14_final.stac-item
2023-06-26 11:23:57	ga_s2am_ard_3-2-1_51KYQ_2023-06-26_final.stac-item
2023-07-29 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-07-29_final.stac-item
2023-09-10 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-09-10_final.stac-item
2023-09-17 11:36:23	ga_s2am_ard_3-2-1_50JQL_2023-09-17_final.stac-item
2023-12-06 11:32:48	ga_s2am_ard_3-2-1_51KXU_2023-12-06_final.stac-item
2023-12-19 11:46:22	ga_s2am_ard_3-2-1_50JML_2023-12-19_final.stac-item
2023-12-23 11:25:06	ga_s2am_ard_3-2-1_51JXK_2023-12-23_final.stac-item
2023-12-26 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-12-26_final.stac-item
2024-01-25 11:32:20	ga_s2am_ard_3-2-1_51KXA_2024-01-25_final.stac-item
2024-04-04 11:33:24	ga_s2am_ard_3-2-1_51KWS_2024-04-04_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