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
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KUV_2016-12-05_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_52KBA_2017-01-18_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KCC_2017-01-25_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGM_2017-03-14_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51JWF_2017-04-28_final
2017-06-12 12:13:44	ga_s2am_ard_3-2-1_49KHR_2017-06-12_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JGM_2017-06-22_final
2017-08-29 11:36:08	ga_s2am_ard_3-2-1_51HUE_2017-08-29_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JTG_2017-09-08_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JWN_2017-09-08_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JYM_2017-10-05_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMS_2017-12-03_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_52KCB_2018-02-12_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50HPJ_2018-02-25_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51LVC_2018-03-20_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51JXH_2018-03-31_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50JML_2018-04-09_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KXU_2018-04-26_final
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_52JCL_2018-05-10_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRA_2018-06-08_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPJ_2018-09-13_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51JXJ_2018-10-07_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JRS_2018-10-26_final
2019-02-07 11:25:35	ga_s2am_ard_3-2-1_51JXH_2019-02-07_final
2019-02-08 10:55:53	ga_s2am_ard_3-2-1_52JGL_2019-02-08_final
2019-07-26 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2019-07-26_final
2019-07-30 11:34:10	ga_s2am_ard_3-2-1_51KXP_2019-07-30_final
2019-08-06 11:26:33	ga_s2am_ard_3-2-1_51HVE_2019-08-06_final
2019-09-01 11:46:41	ga_s2am_ard_3-2-1_50HMK_2019-09-01_final
2019-11-07 11:37:00	ga_s2am_ard_3-2-1_51HUC_2019-11-07_final
2019-11-24 11:22:23	ga_s2am_ard_3-2-1_52KBF_2019-11-24_final
2019-12-20 11:44:25	ga_s2am_ard_3-2-1_51JTN_2019-12-20_final
2019-12-29 12:14:02	ga_s2am_ard_3-2-1_50KKV_2019-12-29_final
2020-01-06 11:32:06	ga_s2am_ard_3-2-1_51KXB_2020-01-06_final
2020-01-09 11:43:56	ga_s2am_ard_3-2-1_50KRV_2020-01-09_final
2020-02-25 11:32:24	ga_s2am_ard_3-2-1_51KWA_2020-02-25_final
2020-03-03 11:23:02	ga_s2am_ard_3-2-1_52KBC_2020-03-03_final
2020-04-02 11:26:14	ga_s2am_ard_3-2-1_51JUF_2020-04-02_final
2020-05-18 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-05-18_final
2020-06-23 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-06-23_final
2020-07-06 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-07-06_final
2020-07-25 11:06:09	ga_s2am_ard_3-2-1_52JDL_2020-07-25_final
2020-08-07 11:15:53	ga_s2am_ard_3-2-1_52JCM_2020-08-07_final
2020-08-09 11:55:59	ga_s2am_ard_3-2-1_50JMN_2020-08-09_final
2020-09-12 11:32:58	ga_s2am_ard_3-2-1_51KXU_2020-09-12_final
2020-09-25 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-09-25_final
2020-11-23 12:15:12	ga_s2am_ard_3-2-1_49JGL_2020-11-23_final
2021-01-01 11:06:10	ga_s2am_ard_3-2-1_52JBL_2021-01-01_final
2021-01-07 11:22:38	ga_s2am_ard_3-2-1_51KZV_2021-01-07_final
2021-01-31 11:06:10	ga_s2am_ard_3-2-1_52JBL_2021-01-31_final
2021-02-05 11:54:08	ga_s2am_ard_3-2-1_50KNV_2021-02-05_final
2021-02-09 11:32:31	ga_s2am_ard_3-2-1_51KVA_2021-02-09_final
2021-03-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-03-17_final
2021-03-18 11:23:15	ga_s2am_ard_3-2-1_52KCB_2021-03-18_final
2021-03-21 11:33:08	ga_s2am_ard_3-2-1_51KXT_2021-03-21_final
2021-04-14 11:14:44	ga_s2am_ard_3-2-1_52JCR_2021-04-14_final
2021-05-29 12:04:22	ga_s2am_ard_3-2-1_50KMU_2021-05-29_final
2021-05-30 11:34:06	ga_s2am_ard_3-2-1_51KXP_2021-05-30_final
2021-07-05 11:56:16	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final
2021-07-26 11:24:47	ga_s2am_ard_3-2-1_52JBR_2021-07-26_final
2021-08-08 11:36:45	ga_s2am_ard_3-2-1_51HUD_2021-08-08_final
2021-08-18 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2021-08-18_final
2021-08-22 11:16:46	ga_s2am_ard_3-2-1_51HWD_2021-08-22_final
2021-08-28 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-08-28_final
2021-09-10 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-09-10_final
2021-10-20 11:46:21	ga_s2am_ard_3-2-1_50JQL_2021-10-20_final
2021-10-30 11:42:03	ga_s2am_ard_3-2-1_51LVC_2021-10-30_final
2021-11-06 11:31:52	ga_s2am_ard_3-2-1_51LZC_2021-11-06_final
2022-01-15 11:32:23	ga_s2am_ard_3-2-1_51KYA_2022-01-15_final
2022-02-27 11:42:02	ga_s2am_ard_3-2-1_51LVC_2022-02-27_final
2022-03-13 11:23:25	ga_s2am_ard_3-2-1_51KYS_2022-03-13_final
2022-04-02 11:25:42	ga_s2am_ard_3-2-1_51JWH_2022-04-02_final
2022-04-18 11:44:49	ga_s2am_ard_3-2-1_50JRS_2022-04-18_final
2022-05-22 11:25:10	ga_s2am_ard_3-2-1_51JVL_2022-05-22_final
2022-06-25 11:06:30	ga_s2am_ard_3-2-1_52HDK_2022-06-25_final.stac-item
2022-07-01 11:26:52	ga_s2am_ard_3-2-1_51HVD_2022-07-01_final
2022-08-10 11:24:01	ga_s2am_ard_3-2-1_51KZQ_2022-08-10_final
2022-09-06 11:16:32	ga_s2am_ard_3-2-1_52HBK_2022-09-06_final.stac-item
2022-11-02 11:06:03	ga_s2am_ard_3-2-1_52JEL_2022-11-02_final.stac-item
2022-11-04 11:43:33	ga_s2am_ard_3-2-1_51KUS_2022-11-04_final.stac-item
2022-11-15 11:14:23	ga_s2am_ard_3-2-1_52JCT_2022-11-15_final.stac-item
2022-12-18 11:24:14	ga_s2am_ard_3-2-1_51KWP_2022-12-18_final.stac-item
2023-01-07 11:21:09	ga_s2am_ard_3-2-1_51LZF_2023-01-07_nrt.stac-item
2023-03-25 11:16:39	ga_s2am_ard_3-2-1_51HXD_2023-03-25_final.stac-item
2023-04-04 11:13:28	ga_s2am_ard_3-2-1_51KZS_2023-04-04_final.stac-item
2023-04-13 11:43:51	ga_s2am_ard_3-2-1_50KQA_2023-04-13_final.stac-item
2023-04-16 11:57:12	ga_s2am_ard_3-2-1_50HKH_2023-04-16_nrt.stac-item
2023-05-06 11:56:08	ga_s2am_ard_3-2-1_50JMM_2023-05-06_final.stac-item
2023-06-06 11:23:10	ga_s2am_ard_3-2-1_51KZT_2023-06-06_final.stac-item
2023-08-11 11:46:01	ga_s2am_ard_3-2-1_51JTG_2023-08-11_final.stac-item
2023-08-18 11:37:09	ga_s2am_ard_3-2-1_50HQH_2023-08-18_final.stac-item
2023-09-13 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-09-13_final.stac-item
2023-09-27 11:33:44	ga_s2am_ard_3-2-1_51KWR_2023-09-27_final.stac-item
2023-11-27 11:06:29	ga_s2am_ard_3-2-1_52HBJ_2023-11-27_final.stac-item
2023-12-29 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-12-29_final.stac-item
2024-01-12 11:22:43	ga_s2am_ard_3-2-1_52KCD_2024-01-12_final.stac-item
2024-01-25 11:32:31	ga_s2am_ard_3-2-1_51KYV_2024-01-25_final.stac-item
2024-03-06 11:05:20	ga_s2am_ard_3-2-1_52JDP_2024-03-06_final.stac-item
2024-03-08 11:41:56	ga_s2am_ard_3-2-1_51LWC_2024-03-08_final.stac-item
2024-04-11 11:25:06	ga_s2am_ard_3-2-1_51JYK_2024-04-11_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