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
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51JYN_2016-03-11_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_54KTG_2016-05-31_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JMG_2016-06-17_final.stac-item
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54JWT_2016-07-11_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_53LPE_2016-09-01_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKU_2017-02-09_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KBV_2017-02-24_final
2017-03-20 10:47:17	ga_s2am_ard_3-2-1_53LND_2017-03-20_final
2017-07-26 10:11:08	ga_s2am_ard_3-2-1_54JVS_2017-07-26_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-09-30_final
2017-11-19 10:28:06	ga_s2am_ard_3-2-1_53KQU_2017-11-19_final
2017-12-20 10:07:01	ga_s2am_ard_3-2-1_54HXD_2017-12-20_final
2018-01-18 10:32:26	ga_s2am_ard_3-2-1_54KVC_2018-01-18_final
2018-02-24 10:23:25	ga_s2am_ard_3-2-1_54HTG_2018-02-24_final
2018-03-02 10:37:24	ga_s2am_ard_3-2-1_53KNT_2018-03-02_final
2018-03-13 10:16:12	ga_s2am_ard_3-2-1_53HQA_2018-03-13_final
2018-04-02 10:07:04	ga_s2am_ard_3-2-1_54HXJ_2018-04-02_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51KXS_2018-04-03_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51KYT_2018-05-03_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_53JQJ_2018-08-13_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KUT_2018-08-17_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51KUR_2018-09-13_final
2018-11-25 10:07:33	ga_s2am_ard_3-2-1_54HWC_2018-11-25_final
2018-11-26 11:13:07	ga_s2am_ard_3-2-1_52KEB_2018-11-26_final
2018-12-02 11:37:09	ga_s2am_ard_3-2-1_50HQG_2018-12-02_final.stac-item
2018-12-18 10:16:55	ga_s2am_ard_3-2-1_54HTF_2018-12-18_final
2019-01-15 11:11:23	ga_s2am_ard_3-2-1_52LGJ_2019-01-15_final
2019-03-01 10:24:36	ga_s2am_ard_3-2-1_54JVQ_2019-03-01_final
2019-04-03 10:36:22	ga_s2am_ard_3-2-1_53HND_2019-04-03_final
2019-05-01 11:33:02	ga_s2am_ard_3-2-1_51KVU_2019-05-01_final
2019-05-03 12:15:23	ga_s2am_ard_3-2-1_49JGK_2019-05-03_final
2019-08-09 09:57:49	ga_s2am_ard_3-2-1_54HWC_2019-08-09_final
2019-08-31 10:33:53	ga_s2am_ard_3-2-1_54JUT_2019-08-31_final
2019-09-11 11:41:17	ga_s2am_ard_3-2-1_51LUF_2019-09-11_final
2019-10-31 10:04:14	ga_s2am_ard_3-2-1_54JYS_2019-10-31_final
2019-11-13 11:56:14	ga_s2am_ard_3-2-1_50JKM_2019-11-13_final
2020-03-15 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-03-15_final
2020-03-31 10:44:06	ga_s2am_ard_3-2-1_53JMN_2020-03-31_final
2020-04-10 10:42:16	ga_s2am_ard_3-2-1_53KQV_2020-04-10_final
2020-04-24 10:26:42	ga_s2am_ard_3-2-1_53HNC_2020-04-24_final
2020-05-24 12:03:26	ga_s2am_ard_3-2-1_50KNC_2020-05-24_final
2020-06-06 10:33:37	ga_s2am_ard_3-2-1_53KRQ_2020-06-06_final
2020-06-24 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-06-24_final
2020-08-09 10:17:03	ga_s2am_ard_3-2-1_54HVF_2020-08-09_final
2020-09-02 11:33:50	ga_s2am_ard_3-2-1_51KVR_2020-09-02_final
2020-09-28 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-09-28_final
2020-11-21 11:33:24	ga_s2am_ard_3-2-1_51KUT_2020-11-21_final
2021-01-06 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-01-06_final
2021-01-12 10:34:15	ga_s2am_ard_3-2-1_54JTS_2021-01-12_final
2021-01-14 11:15:54	ga_s2am_ard_3-2-1_51JYG_2021-01-14_final
2021-01-30 09:57:37	ga_s2am_ard_3-2-1_54HYC_2021-01-30_final
2021-02-06 11:24:07	ga_s2am_ard_3-2-1_51KYP_2021-02-06_final
2021-02-23 11:13:29	ga_s2am_ard_3-2-1_52KEA_2021-02-23_final
2021-02-26 11:26:11	ga_s2am_ard_3-2-1_51JWF_2021-02-26_final
2021-03-01 11:35:19	ga_s2am_ard_3-2-1_51JTK_2021-03-01_final
2021-04-13 11:43:09	ga_s2am_ard_3-2-1_51KUT_2021-04-13_final
2021-04-28 10:52:31	ga_s2am_ard_3-2-1_53KNU_2021-04-28_final
2021-05-01 11:00:28	ga_s2am_ard_3-2-1_52LHN_2021-05-01_final
2021-05-02 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-05-02_final
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final
2021-06-18 10:23:32	ga_s2am_ard_3-2-1_54KUV_2021-06-18_final
2021-07-16 11:22:51	ga_s2am_ard_3-2-1_52KCD_2021-07-16_final
2021-09-29 10:37:03	ga_s2am_ard_3-2-1_53HPA_2021-09-29_final
2021-11-05 12:06:08	ga_s2am_ard_3-2-1_50JLM_2021-11-05_final
2021-11-26 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-11-26_final
2021-11-30 11:10:47	ga_s2am_ard_3-2-1_52LFM_2021-11-30_final.stac-item
2021-12-04 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-12-04_final
2022-01-05 09:57:38	ga_s2am_ard_3-2-1_54HYC_2022-01-05_final
2022-03-16 11:36:50	ga_s2am_ard_3-2-1_51HTD_2022-03-16_final
2022-07-14 11:33:47	ga_s2am_ard_3-2-1_51KWS_2022-07-14_final
2022-07-23 12:05:55	ga_s2am_ard_3-2-1_49JGJ_2022-07-23_final
2022-08-11 10:53:44	ga_s2am_ard_3-2-1_52KGA_2022-08-11_final
2022-08-16 11:46:42	ga_s2am_ard_3-2-1_50HQK_2022-08-16_final
2022-09-21 10:24:27	ga_s2am_ard_3-2-1_54JTS_2022-09-21_final.stac-item
2022-10-22 11:33:40	ga_s2am_ard_3-2-1_51KXR_2022-10-22_final.stac-item
2022-12-12 11:06:04	ga_s2am_ard_3-2-1_52JEL_2022-12-12_final.stac-item
2023-01-26 10:14:58	ga_s2am_ard_3-2-1_54JVP_2023-01-26_final.stac-item
2023-02-09 09:57:50	ga_s2am_ard_3-2-1_54HYB_2023-02-09_final.stac-item
2023-07-01 10:31:40	ga_s2am_ard_3-2-1_53LRC_2023-07-01_nrt.stac-item
2023-08-07 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2023-08-07_final.stac-item
2023-08-07 12:05:05	ga_s2am_ard_3-2-1_49JGM_2023-08-07_final.stac-item
2023-09-28 11:03:56	ga_s2am_ard_3-2-1_52KDV_2023-09-28_final.stac-item
2023-10-17 11:32:57	ga_s2am_ard_3-2-1_51KWU_2023-10-17_final.stac-item
2023-11-15 10:26:49	ga_s2am_ard_3-2-1_53HPB_2023-11-15_final.stac-item
2023-12-15 10:24:00	ga_s2am_ard_3-2-1_54JTT_2023-12-15_final.stac-item
2023-12-16 11:32:25	ga_s2am_ard_3-2-1_51KWA_2023-12-16_final.stac-item
2023-12-19 10:07:04	ga_s2am_ard_3-2-1_54HXE_2023-12-19_final.stac-item
2023-12-26 11:34:12	ga_s2am_ard_3-2-1_51JXN_2023-12-26_final.stac-item
2023-12-29 11:43:21	ga_s2am_ard_3-2-1_51KVS_2023-12-29_final.stac-item
2024-01-09 11:11:22	ga_s2am_ard_3-2-1_52LGJ_2024-01-09_final.stac-item
2024-01-12 11:23:22	ga_s2am_ard_3-2-1_52KCA_2024-01-12_final.stac-item
2024-01-16 11:01:05	ga_s2am_ard_3-2-1_53LKE_2024-01-16_final.stac-item
2024-01-20 10:42:49	ga_s2am_ard_3-2-1_53KMT_2024-01-20_final.stac-item
2024-01-24 10:26:38	ga_s2am_ard_3-2-1_54HTG_2024-01-24_final.stac-item
2024-02-12 10:52:09	ga_s2am_ard_3-2-1_53KLA_2024-02-12_final.stac-item
2024-03-09 11:14:46	ga_s2am_ard_3-2-1_52JDR_2024-03-09_final.stac-item
2024-03-12 11:23:21	ga_s2am_ard_3-2-1_52KBB_2024-03-12_final.stac-item
2024-03-20 10:43:00	ga_s2am_ard_3-2-1_53KMT_2024-03-20_final.stac-item
2024-04-16 10:34:28	ga_s2am_ard_3-2-1_53JNM_2024-04-16_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