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
2023-02-23 11:16:09	ga_s2am_ard_3-2-1_51JXF_2023-02-23_final.stac-item
2023-02-25 11:53:15	ga_s2am_ard_3-2-1_50KQC_2023-02-25_final.stac-item
2023-02-25 11:53:22	ga_s2am_ard_3-2-1_50KNC_2023-02-25_final.stac-item
2023-02-25 11:53:28	ga_s2am_ard_3-2-1_50KMC_2023-02-25_final.stac-item
2023-02-25 11:53:29	ga_s2am_ard_3-2-1_50KQB_2023-02-25_final.stac-item
2023-02-25 11:53:36	ga_s2am_ard_3-2-1_50KNB_2023-02-25_final.stac-item
2023-02-25 11:53:50	ga_s2am_ard_3-2-1_50KQV_2023-02-25_final.stac-item
2023-02-25 11:53:58	ga_s2am_ard_3-2-1_50KQV_2023-02-25_final.stac-item
2023-02-25 11:54:24	ga_s2am_ard_3-2-1_50KMU_2023-02-25_final.stac-item
2023-02-25 11:54:31	ga_s2am_ard_3-2-1_50JPT_2023-02-25_final.stac-item
2023-02-25 11:54:35	ga_s2am_ard_3-2-1_50JNT_2023-02-25_final.stac-item
2023-02-25 11:55:04	ga_s2am_ard_3-2-1_50JNR_2023-02-25_final.stac-item
2023-02-25 11:55:13	ga_s2am_ard_3-2-1_50JPQ_2023-02-25_final.stac-item
2023-02-25 11:55:24	ga_s2am_ard_3-2-1_50JPP_2023-02-25_final.stac-item
2023-02-25 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2023-02-25_final.stac-item
2023-02-25 11:55:44	ga_s2am_ard_3-2-1_50JKP_2023-02-25_final.stac-item
2023-02-25 11:55:47	ga_s2am_ard_3-2-1_50JNN_2023-02-25_final.stac-item
2023-02-25 11:55:54	ga_s2am_ard_3-2-1_50JLN_2023-02-25_final.stac-item
2023-02-25 11:56:02	ga_s2am_ard_3-2-1_50JNM_2023-02-25_final.stac-item
2023-02-25 11:56:09	ga_s2am_ard_3-2-1_50JLM_2023-02-25_final.stac-item
2023-02-25 11:56:11	ga_s2am_ard_3-2-1_50JKM_2023-02-25_final.stac-item
2023-02-25 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-02-25_final.stac-item
2023-02-25 11:56:27	ga_s2am_ard_3-2-1_50HNK_2023-02-25_final.stac-item
2023-02-25 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-02-25_final.stac-item
2023-02-25 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-02-25_final.stac-item
2023-02-25 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-02-25_final.stac-item
2023-02-25 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-25_final.stac-item
2023-02-25 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-02-25_final.stac-item
2023-02-26 11:25:11	ga_s2am_ard_3-2-1_51JWK_2023-02-26_final.stac-item
2023-02-26 11:25:14	ga_s2am_ard_3-2-1_51JVK_2023-02-26_final.stac-item
2023-02-26 11:25:54	ga_s2am_ard_3-2-1_51JWG_2023-02-26_final.stac-item
2023-02-26 11:26:09	ga_s2am_ard_3-2-1_51JWF_2023-02-26_final.stac-item
2023-02-26 11:26:20	ga_s2am_ard_3-2-1_51HXE_2023-02-26_final.stac-item
2023-02-26 11:26:23	ga_s2am_ard_3-2-1_51HWE_2023-02-26_final.stac-item
2023-02-26 11:26:35	ga_s2am_ard_3-2-1_51HWD_2023-02-26_final.stac-item
2023-02-26 11:26:40	ga_s2am_ard_3-2-1_51HXD_2023-02-26_final.stac-item
2023-02-26 11:27:10	ga_s2am_ard_3-2-1_51HUB_2023-02-26_final.stac-item
2023-02-26 11:27:12	ga_s2am_ard_3-2-1_51HTB_2023-02-26_final.stac-item
2023-02-28 12:03:17	ga_s2am_ard_3-2-1_50KNC_2023-02-28_final.stac-item
2023-02-28 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-02-28_final.stac-item
2023-02-28 12:03:24	ga_s2am_ard_3-2-1_50KLC_2023-02-28_final.stac-item
2023-02-28 12:03:31	ga_s2am_ard_3-2-1_50KNB_2023-02-28_final.stac-item
2023-02-28 12:03:38	ga_s2am_ard_3-2-1_50KLB_2023-02-28_final.stac-item
2023-02-28 12:03:53	ga_s2am_ard_3-2-1_50KLA_2023-02-28_final.stac-item
2023-02-28 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2023-02-28_final.stac-item
2023-02-28 12:04:19	ga_s2am_ard_3-2-1_50KMU_2023-02-28_final.stac-item
2023-02-28 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-02-28_final.stac-item
2023-02-28 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-02-28_final.stac-item
2023-02-28 12:04:30	ga_s2am_ard_3-2-1_50JLT_2023-02-28_final.stac-item
2023-02-28 12:04:30	ga_s2am_ard_3-2-1_49JHN_2023-02-28_final.stac-item
2023-02-28 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-02-28_final.stac-item
2023-02-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2023-02-28_final.stac-item
2023-02-28 12:04:37	ga_s2am_ard_3-2-1_50JLT_2023-02-28_final.stac-item
2023-02-28 12:04:46	ga_s2am_ard_3-2-1_50JMS_2023-02-28_final.stac-item
2023-02-28 12:04:51	ga_s2am_ard_3-2-1_50JLS_2023-02-28_final.stac-item
2023-02-28 12:04:54	ga_s2am_ard_3-2-1_49JHM_2023-02-28_final.stac-item
2023-02-28 12:04:54	ga_s2am_ard_3-2-1_50JKS_2023-02-28_final.stac-item
2023-02-28 12:04:56	ga_s2am_ard_3-2-1_50JMR_2023-02-28_final.stac-item
2023-02-28 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-02-28_final.stac-item
2023-02-28 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-02-28_final.stac-item
2023-02-28 12:05:09	ga_s2am_ard_3-2-1_50JKR_2023-02-28_final.stac-item
2023-02-28 12:05:12	ga_s2am_ard_3-2-1_49JGL_2023-02-28_final.stac-item
2023-02-28 12:05:27	ga_s2am_ard_3-2-1_49JGK_2023-02-28_final.stac-item
2023-02-28 12:05:35	ga_s2am_ard_3-2-1_50JLP_2023-02-28_final.stac-item
2023-02-28 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-02-28_final.stac-item
2023-02-28 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2023-02-28_final.stac-item
2023-02-28 12:05:49	ga_s2am_ard_3-2-1_50JLN_2023-02-28_final.stac-item
2023-02-28 12:05:53	ga_s2am_ard_3-2-1_50JKN_2023-02-28_final.stac-item
2023-02-28 12:06:12	ga_s2am_ard_3-2-1_50JLL_2023-02-28_final.stac-item
2023-03-01 11:34:26	ga_s2am_ard_3-2-1_51JVN_2023-03-01_final.stac-item
2023-03-01 11:34:44	ga_s2am_ard_3-2-1_51JUM_2023-03-01_final.stac-item
2023-03-01 11:34:52	ga_s2am_ard_3-2-1_51JWL_2023-03-01_final.stac-item
2023-03-01 11:34:58	ga_s2am_ard_3-2-1_51JUL_2023-03-01_final.stac-item
2023-03-01 11:35:05	ga_s2am_ard_3-2-1_51JWK_2023-03-01_final.stac-item
2023-03-01 11:35:10	ga_s2am_ard_3-2-1_51JVK_2023-03-01_final.stac-item
2023-03-01 11:35:13	ga_s2am_ard_3-2-1_51JUK_2023-03-01_final.stac-item
2023-03-01 11:35:24	ga_s2am_ard_3-2-1_51JVJ_2023-03-01_final.stac-item
2023-03-01 11:35:34	ga_s2am_ard_3-2-1_50JQP_2023-03-01_final.stac-item
2023-03-01 11:36:00	ga_s2am_ard_3-2-1_51JTG_2023-03-01_final.stac-item
2023-03-01 11:36:14	ga_s2am_ard_3-2-1_51JTF_2023-03-01_final.stac-item
2023-03-01 11:36:17	ga_s2am_ard_3-2-1_50JQL_2023-03-01_final.stac-item
2023-03-01 11:36:29	ga_s2am_ard_3-2-1_51HTE_2023-03-01_final.stac-item
2023-03-01 11:36:31	ga_s2am_ard_3-2-1_50HQK_2023-03-01_final.stac-item
2023-03-01 11:36:35	ga_s2am_ard_3-2-1_50HPK_2023-03-01_final.stac-item
2023-03-01 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2023-03-01_final.stac-item
2023-03-01 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-03-01_final.stac-item
2023-03-01 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-03-01_final.stac-item
2023-03-03 12:13:35	ga_s2am_ard_3-2-1_50KKB_2023-03-03_final.stac-item
2023-03-03 12:13:42	ga_s2am_ard_3-2-1_49KHR_2023-03-03_final.stac-item
2023-03-03 12:13:51	ga_s2am_ard_3-2-1_50KKA_2023-03-03_final.stac-item
2023-03-03 12:13:51	ga_s2am_ard_3-2-1_49KHR_2023-03-03_final.stac-item
2023-03-03 12:13:55	ga_s2am_ard_3-2-1_49KGR_2023-03-03_final.stac-item
2023-03-03 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2023-03-03_final.stac-item
2023-03-03 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-03-03_final.stac-item
2023-03-03 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-03-03_final.stac-item
2023-03-03 12:14:24	ga_s2am_ard_3-2-1_49KGP_2023-03-03_final.stac-item
2023-03-03 12:14:38	ga_s2am_ard_3-2-1_49JGN_2023-03-03_final.stac-item
2023-03-03 12:14:42	ga_s2am_ard_3-2-1_49JFN_2023-03-03_final.stac-item
2023-03-03 12:14:53	ga_s2am_ard_3-2-1_49JGM_2023-03-03_final.stac-item
2023-03-03 12:14:57	ga_s2am_ard_3-2-1_49JFM_2023-03-03_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