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
2023-07-28 10:24:56	ga_s2am_ard_3-2-1_53JQK_2023-07-28_final.stac-item
2023-07-28 10:26:12	ga_s2am_ard_3-2-1_53HPE_2023-07-28_final.stac-item
2023-07-28 10:26:56	ga_s2am_ard_3-2-1_53HPB_2023-07-28_final.stac-item
2023-07-28 10:27:10	ga_s2am_ard_3-2-1_53HPA_2023-07-28_final.stac-item
2023-07-28 10:27:17	ga_s2am_ard_3-2-1_53HQV_2023-07-28_final.stac-item
2023-07-28 10:27:19	ga_s2am_ard_3-2-1_53HPV_2023-07-28_final.stac-item
2023-07-28 12:03:28	ga_s2am_ard_3-2-1_50KMC_2023-07-28_final.stac-item
2023-07-28 12:03:38	ga_s2am_ard_3-2-1_50KNB_2023-07-28_final.stac-item
2023-07-28 12:04:04	ga_s2am_ard_3-2-1_50KKA_2023-07-28_final.stac-item
2023-07-28 12:04:18	ga_s2am_ard_3-2-1_50KKV_2023-07-28_final.stac-item
2023-07-28 12:04:33	ga_s2am_ard_3-2-1_49KHP_2023-07-28_final.stac-item
2023-07-28 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-07-28_final.stac-item
2023-07-28 12:04:54	ga_s2am_ard_3-2-1_50JMS_2023-07-28_final.stac-item
2023-07-28 12:05:20	ga_s2am_ard_3-2-1_49JGL_2023-07-28_final.stac-item
2023-07-28 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-28_final.stac-item
2023-07-28 12:06:00	ga_s2am_ard_3-2-1_50JKN_2023-07-28_final.stac-item
2023-07-28 12:06:03	ga_s2am_ard_3-2-1_49JGH_2023-07-28_final.stac-item
2023-07-28 12:06:09	ga_s2am_ard_3-2-1_50JLM_2023-07-28_final.stac-item
2023-07-28 12:06:19	ga_s2am_ard_3-2-1_50JLL_2023-07-28_final.stac-item
2023-07-29 11:31:34	ga_s2am_ard_3-2-1_52LBJ_2023-07-29_final.stac-item
2023-07-29 11:31:36	ga_s2am_ard_3-2-1_51LWE_2023-07-29_final.stac-item
2023-07-29 11:31:40	ga_s2am_ard_3-2-1_51LZD_2023-07-29_final.stac-item
2023-07-29 11:31:58	ga_s2am_ard_3-2-1_51LYC_2023-07-29_final.stac-item
2023-07-29 11:32:13	ga_s2am_ard_3-2-1_51KYB_2023-07-29_final.stac-item
2023-07-29 11:32:34	ga_s2am_ard_3-2-1_51KWA_2023-07-29_final.stac-item
2023-07-29 11:33:14	ga_s2am_ard_3-2-1_51KXT_2023-07-29_final.stac-item
2023-07-29 11:33:21	ga_s2am_ard_3-2-1_51KVT_2023-07-29_final.stac-item
2023-07-29 11:33:29	ga_s2am_ard_3-2-1_51KXS_2023-07-29_final.stac-item
2023-07-29 11:33:32	ga_s2am_ard_3-2-1_51KWS_2023-07-29_final.stac-item
2023-07-29 11:33:36	ga_s2am_ard_3-2-1_51KVS_2023-07-29_final.stac-item
2023-07-29 11:33:39	ga_s2am_ard_3-2-1_51KUS_2023-07-29_final.stac-item
2023-07-29 11:33:47	ga_s2am_ard_3-2-1_51KWR_2023-07-29_final.stac-item
2023-07-29 11:34:45	ga_s2am_ard_3-2-1_51JWM_2023-07-29_final.stac-item
2023-07-29 11:34:52	ga_s2am_ard_3-2-1_51JUM_2023-07-29_final.stac-item
2023-07-29 11:35:24	ga_s2am_ard_3-2-1_51JTK_2023-07-29_final.stac-item
2023-07-29 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2023-07-29_final.stac-item
2023-07-29 11:36:01	ga_s2am_ard_3-2-1_51JVG_2023-07-29_final.stac-item
2023-07-29 11:36:08	ga_s2am_ard_3-2-1_51JTG_2023-07-29_final.stac-item
2023-07-29 11:36:22	ga_s2am_ard_3-2-1_51JTF_2023-07-29_final.stac-item
2023-07-29 11:36:43	ga_s2am_ard_3-2-1_50HPK_2023-07-29_final.stac-item
2023-07-29 11:36:48	ga_s2am_ard_3-2-1_51HUD_2023-07-29_final.stac-item
2023-07-29 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-07-29_final.stac-item
2023-07-29 11:37:21	ga_s2am_ard_3-2-1_51HTB_2023-07-29_final.stac-item
2023-07-29 11:37:22	ga_s2am_ard_3-2-1_50HQG_2023-07-29_final.stac-item
2023-07-29 11:37:28	ga_s2am_ard_3-2-1_50HNG_2023-07-29_final.stac-item
2023-07-29 11:37:29	ga_s2am_ard_3-2-1_51HTB_2023-07-29_final.stac-item
2023-07-29 11:37:34	ga_s2am_ard_3-2-1_50HNG_2023-07-29_final.stac-item
2023-07-30 11:00:32	ga_s2am_ard_3-2-1_52LHN_2023-07-30_final.stac-item
2023-07-30 11:00:39	ga_s2am_ard_3-2-1_52LHN_2023-07-30_final.stac-item
2023-07-30 11:01:08	ga_s2am_ard_3-2-1_52LGL_2023-07-30_final.stac-item
2023-07-30 11:01:51	ga_s2am_ard_3-2-1_52LGH_2023-07-30_final.stac-item
2023-07-30 11:02:06	ga_s2am_ard_3-2-1_52KGG_2023-07-30_final.stac-item
2023-07-30 11:02:15	ga_s2am_ard_3-2-1_53KKA_2023-07-30_final.stac-item
2023-07-30 11:02:24	ga_s2am_ard_3-2-1_52KFF_2023-07-30_final.stac-item
2023-07-30 11:02:38	ga_s2am_ard_3-2-1_52KFE_2023-07-30_final.stac-item
2023-07-30 11:02:45	ga_s2am_ard_3-2-1_53KKU_2023-07-30_final.stac-item
2023-07-30 11:03:04	ga_s2am_ard_3-2-1_52KGC_2023-07-30_final.stac-item
2023-07-30 11:03:15	ga_s2am_ard_3-2-1_52KHB_2023-07-30_final.stac-item
2023-07-30 11:03:24	ga_s2am_ard_3-2-1_53KKR_2023-07-30_final.stac-item
2023-07-30 11:03:40	ga_s2am_ard_3-2-1_52KEA_2023-07-30_final.stac-item
2023-07-30 11:03:59	ga_s2am_ard_3-2-1_52KDV_2023-07-30_final.stac-item
2023-07-30 11:04:01	ga_s2am_ard_3-2-1_52KGU_2023-07-30_final.stac-item
2023-07-30 11:04:16	ga_s2am_ard_3-2-1_52JGT_2023-07-30_final.stac-item
2023-07-30 11:04:20	ga_s2am_ard_3-2-1_52JFT_2023-07-30_final.stac-item
2023-07-30 11:05:01	ga_s2am_ard_3-2-1_52JCR_2023-07-30_final.stac-item
2023-07-30 11:05:07	ga_s2am_ard_3-2-1_52JEQ_2023-07-30_final.stac-item
2023-07-30 11:05:10	ga_s2am_ard_3-2-1_52JDQ_2023-07-30_final.stac-item
2023-07-30 11:05:18	ga_s2am_ard_3-2-1_52JFP_2023-07-30_final.stac-item
2023-07-30 11:05:21	ga_s2am_ard_3-2-1_52JEP_2023-07-30_final.stac-item
2023-07-30 11:05:25	ga_s2am_ard_3-2-1_52JDP_2023-07-30_final.stac-item
2023-07-30 11:05:32	ga_s2am_ard_3-2-1_52JFN_2023-07-30_final.stac-item
2023-07-30 11:06:05	ga_s2am_ard_3-2-1_52JEL_2023-07-30_final.stac-item
2023-07-30 11:06:27	ga_s2am_ard_3-2-1_52HCK_2023-07-30_final.stac-item
2023-07-30 11:06:29	ga_s2am_ard_3-2-1_52HBK_2023-07-30_final.stac-item
2023-07-31 10:32:16	ga_s2am_ard_3-2-1_53KQA_2023-07-31_final.stac-item
2023-07-31 10:32:57	ga_s2am_ard_3-2-1_53KQT_2023-07-31_final.stac-item
2023-07-31 10:33:17	ga_s2am_ard_3-2-1_53KPS_2023-07-31_final.stac-item
2023-07-31 10:33:29	ga_s2am_ard_3-2-1_53KPR_2023-07-31_final.stac-item
2023-07-31 10:33:36	ga_s2am_ard_3-2-1_53KRQ_2023-07-31_final.stac-item
2023-07-31 10:33:54	ga_s2am_ard_3-2-1_53KQP_2023-07-31_final.stac-item
2023-07-31 10:34:05	ga_s2am_ard_3-2-1_53JRN_2023-07-31_final.stac-item
2023-07-31 10:34:13	ga_s2am_ard_3-2-1_53JPN_2023-07-31_final.stac-item
2023-07-31 10:34:27	ga_s2am_ard_3-2-1_53JPM_2023-07-31_final.stac-item
2023-07-31 10:34:31	ga_s2am_ard_3-2-1_53JNM_2023-07-31_final.stac-item
2023-07-31 10:34:38	ga_s2am_ard_3-2-1_53JQL_2023-07-31_final.stac-item
2023-07-31 10:34:45	ga_s2am_ard_3-2-1_53JNL_2023-07-31_final.stac-item
2023-07-31 10:34:52	ga_s2am_ard_3-2-1_53JQK_2023-07-31_final.stac-item
2023-07-31 10:35:10	ga_s2am_ard_3-2-1_53JPJ_2023-07-31_final.stac-item
2023-07-31 10:35:25	ga_s2am_ard_3-2-1_53JPH_2023-07-31_final.stac-item
2023-07-31 10:35:32	ga_s2am_ard_3-2-1_53JMH_2023-07-31_final.stac-item
2023-07-31 10:35:39	ga_s2am_ard_3-2-1_53JPG_2023-07-31_final.stac-item
2023-07-31 10:35:43	ga_s2am_ard_3-2-1_53JNG_2023-07-31_final.stac-item
2023-07-31 10:36:08	ga_s2am_ard_3-2-1_53HPE_2023-07-31_final.stac-item
2023-07-31 10:36:16	ga_s2am_ard_3-2-1_53HME_2023-07-31_final.stac-item
2023-07-31 10:36:51	ga_s2am_ard_3-2-1_53HPB_2023-07-31_final.stac-item
2023-07-31 10:36:55	ga_s2am_ard_3-2-1_53HNB_2023-07-31_final.stac-item
2023-07-31 12:13:59	ga_s2am_ard_3-2-1_50KKA_2023-07-31_final.stac-item
2023-07-31 12:14:13	ga_s2am_ard_3-2-1_50KKV_2023-07-31_final.stac-item
2023-07-31 12:14:26	ga_s2am_ard_3-2-1_49KHP_2023-07-31_final.stac-item
2023-07-31 12:14:36	ga_s2am_ard_3-2-1_49JHN_2023-07-31_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

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