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
2023-11-17 11:00:12	ga_s2am_ard_3-2-1_53LKJ_2023-11-17_final.stac-item
2023-11-17 11:01:11	ga_s2am_ard_3-2-1_53LKE_2023-11-17_final.stac-item
2023-11-17 11:01:12	ga_s2am_ard_3-2-1_52LHK_2023-11-17_final.stac-item
2023-11-17 11:01:25	ga_s2am_ard_3-2-1_53LKD_2023-11-17_final.stac-item
2023-11-17 11:01:26	ga_s2am_ard_3-2-1_52LHJ_2023-11-17_final.stac-item
2023-11-17 11:01:36	ga_s2am_ard_3-2-1_53LLC_2023-11-17_final.stac-item
2023-11-17 11:01:40	ga_s2am_ard_3-2-1_53LKC_2023-11-17_final.stac-item
2023-11-17 11:02:16	ga_s2am_ard_3-2-1_52KFF_2023-11-17_final.stac-item
2023-11-17 11:02:24	ga_s2am_ard_3-2-1_52KHE_2023-11-17_final.stac-item
2023-11-17 11:02:38	ga_s2am_ard_3-2-1_53KKU_2023-11-17_final.stac-item
2023-11-17 11:02:57	ga_s2am_ard_3-2-1_52KGC_2023-11-17_final.stac-item
2023-11-17 11:03:03	ga_s2am_ard_3-2-1_52KEC_2023-11-17_final.stac-item
2023-11-17 11:03:47	ga_s2am_ard_3-2-1_52KEV_2023-11-17_final.stac-item
2023-11-17 11:03:52	ga_s2am_ard_3-2-1_52KDV_2023-11-17_final.stac-item
2023-11-17 11:04:09	ga_s2am_ard_3-2-1_52JGT_2023-11-17_final.stac-item
2023-11-17 11:04:16	ga_s2am_ard_3-2-1_52JET_2023-11-17_final.stac-item
2023-11-17 11:04:48	ga_s2am_ard_3-2-1_52JDR_2023-11-17_final.stac-item
2023-11-17 11:05:05	ga_s2am_ard_3-2-1_52JFP_2023-11-17_final.stac-item
2023-11-17 11:05:32	ga_s2am_ard_3-2-1_52JDN_2023-11-17_final.stac-item
2023-11-18 10:30:42	ga_s2am_ard_3-2-1_54LVL_2023-11-18_final.stac-item
2023-11-18 10:30:57	ga_s2am_ard_3-2-1_54LVK_2023-11-18_final.stac-item
2023-11-18 10:31:07	ga_s2am_ard_3-2-1_54LWJ_2023-11-18_final.stac-item
2023-11-18 10:31:14	ga_s2am_ard_3-2-1_54LUJ_2023-11-18_final.stac-item
2023-11-18 10:31:20	ga_s2am_ard_3-2-1_54LWH_2023-11-18_final.stac-item
2023-11-18 10:31:29	ga_s2am_ard_3-2-1_54LUH_2023-11-18_final.stac-item
2023-11-18 10:31:48	ga_s2am_ard_3-2-1_53KRB_2023-11-18_final.stac-item
2023-11-18 10:32:09	ga_s2am_ard_3-2-1_53KQA_2023-11-18_final.stac-item
2023-11-18 10:32:16	ga_s2am_ard_3-2-1_54KTE_2023-11-18_final.stac-item
2023-11-18 10:32:25	ga_s2am_ard_3-2-1_54KUD_2023-11-18_final.stac-item
2023-11-18 10:32:27	ga_s2am_ard_3-2-1_54KTD_2023-11-18_final.stac-item
2023-11-18 10:32:32	ga_s2am_ard_3-2-1_54KUD_2023-11-18_final.stac-item
2023-11-18 10:32:34	ga_s2am_ard_3-2-1_54KTD_2023-11-18_final.stac-item
2023-11-18 10:32:41	ga_s2am_ard_3-2-1_54KUC_2023-11-18_final.stac-item
2023-11-18 10:32:45	ga_s2am_ard_3-2-1_54KTC_2023-11-18_final.stac-item
2023-11-18 10:33:00	ga_s2am_ard_3-2-1_53KRS_2023-11-18_final.stac-item
2023-11-18 10:33:04	ga_s2am_ard_3-2-1_53KQS_2023-11-18_final.stac-item
2023-11-18 10:33:10	ga_s2am_ard_3-2-1_53KPS_2023-11-18_final.stac-item
2023-11-18 10:34:12	ga_s2am_ard_3-2-1_53JRM_2023-11-18_final.stac-item
2023-11-18 10:34:19	ga_s2am_ard_3-2-1_53JPM_2023-11-18_final.stac-item
2023-11-18 10:34:27	ga_s2am_ard_3-2-1_54JTR_2023-11-18_final.stac-item
2023-11-18 10:35:13	ga_s2am_ard_3-2-1_53JMJ_2023-11-18_final.stac-item
2023-11-18 10:35:21	ga_s2am_ard_3-2-1_53JNH_2023-11-18_final.stac-item
2023-11-18 10:35:32	ga_s2am_ard_3-2-1_53JPG_2023-11-18_final.stac-item
2023-11-18 10:35:35	ga_s2am_ard_3-2-1_53JNG_2023-11-18_final.stac-item
2023-11-18 10:36:15	ga_s2am_ard_3-2-1_53HPD_2023-11-18_final.stac-item
2023-11-18 12:13:38	ga_s2am_ard_3-2-1_49KHS_2023-11-18_final.stac-item
2023-11-18 12:13:52	ga_s2am_ard_3-2-1_50KKA_2023-11-18_final.stac-item
2023-11-18 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-11-18_final.stac-item
2023-11-18 12:14:19	ga_s2am_ard_3-2-1_49KHP_2023-11-18_final.stac-item
2023-11-18 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-11-18_final.stac-item
2023-11-18 12:14:29	ga_s2am_ard_3-2-1_49JHN_2023-11-18_final.stac-item
2023-11-18 12:14:43	ga_s2am_ard_3-2-1_49JFN_2023-11-18_final.stac-item
2023-11-18 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-11-18_final.stac-item
2023-11-18 12:15:17	ga_s2am_ard_3-2-1_49JGK_2023-11-18_final.stac-item
2023-11-19 10:01:26	ga_s2am_ard_3-2-1_55KFB_2023-11-19_final.stac-item
2023-11-19 10:02:13	ga_s2am_ard_3-2-1_55KEU_2023-11-19_final.stac-item
2023-11-19 10:02:27	ga_s2am_ard_3-2-1_55KET_2023-11-19_final.stac-item
2023-11-19 10:02:49	ga_s2am_ard_3-2-1_55KCS_2023-11-19_final.stac-item
2023-11-19 10:02:52	ga_s2am_ard_3-2-1_54KZB_2023-11-19_final.stac-item
2023-11-19 10:03:06	ga_s2am_ard_3-2-1_55KEQ_2023-11-19_final.stac-item
2023-11-19 10:03:36	ga_s2am_ard_3-2-1_54KZU_2023-11-19_final.stac-item
2023-11-19 10:03:46	ga_s2am_ard_3-2-1_55JCN_2023-11-19_final.stac-item
2023-11-19 10:04:08	ga_s2am_ard_3-2-1_54JYS_2023-11-19_final.stac-item
2023-11-19 10:04:34	ga_s2am_ard_3-2-1_55JBK_2023-11-19_final.stac-item
2023-11-19 10:04:55	ga_s2am_ard_3-2-1_54JXP_2023-11-19_final.stac-item
2023-11-19 10:05:06	ga_s2am_ard_3-2-1_54JYN_2023-11-19_final.stac-item
2023-11-19 10:05:14	ga_s2am_ard_3-2-1_55JCG_2023-11-19_final.stac-item
2023-11-19 10:05:35	ga_s2am_ard_3-2-1_54JYL_2023-11-19_final.stac-item
2023-11-19 10:05:56	ga_s2am_ard_3-2-1_54HWK_2023-11-19_final.stac-item
2023-11-19 10:06:18	ga_s2am_ard_3-2-1_54HYH_2023-11-19_final.stac-item
2023-11-19 10:06:40	ga_s2am_ard_3-2-1_54HWG_2023-11-19_final.stac-item
2023-11-19 10:06:43	ga_s2am_ard_3-2-1_54HVG_2023-11-19_final.stac-item
2023-11-19 10:06:55	ga_s2am_ard_3-2-1_54HWF_2023-11-19_final.stac-item
2023-11-19 10:07:12	ga_s2am_ard_3-2-1_54HYD_2023-11-19_final.stac-item
2023-11-19 11:40:55	ga_s2am_ard_3-2-1_51LWG_2023-11-19_final.stac-item
2023-11-19 11:41:12	ga_s2am_ard_3-2-1_51LVF_2023-11-19_final.stac-item
2023-11-19 11:41:23	ga_s2am_ard_3-2-1_51LWE_2023-11-19_final.stac-item
2023-11-19 11:41:27	ga_s2am_ard_3-2-1_51LVE_2023-11-19_final.stac-item
2023-11-19 11:41:30	ga_s2am_ard_3-2-1_51LUE_2023-11-19_final.stac-item
2023-11-19 11:41:45	ga_s2am_ard_3-2-1_51LUD_2023-11-19_final.stac-item
2023-11-19 11:41:59	ga_s2am_ard_3-2-1_51LUC_2023-11-19_final.stac-item
2023-11-19 11:42:14	ga_s2am_ard_3-2-1_51KUB_2023-11-19_final.stac-item
2023-11-19 11:43:01	ga_s2am_ard_3-2-1_50KRD_2023-11-19_final.stac-item
2023-11-19 11:43:34	ga_s2am_ard_3-2-1_50KQB_2023-11-19_final.stac-item
2023-11-19 11:45:09	ga_s2am_ard_3-2-1_50JNR_2023-11-19_final.stac-item
2023-11-19 11:45:19	ga_s2am_ard_3-2-1_50JPQ_2023-11-19_final.stac-item
2023-11-19 11:45:22	ga_s2am_ard_3-2-1_50JNQ_2023-11-19_final.stac-item
2023-11-19 11:45:26	ga_s2am_ard_3-2-1_51JTJ_2023-11-19_final.stac-item
2023-11-19 11:45:33	ga_s2am_ard_3-2-1_50JPP_2023-11-19_final.stac-item
2023-11-19 11:45:37	ga_s2am_ard_3-2-1_50JNP_2023-11-19_final.stac-item
2023-11-19 11:45:51	ga_s2am_ard_3-2-1_50JNN_2023-11-19_final.stac-item
2023-11-19 11:46:02	ga_s2am_ard_3-2-1_50JPM_2023-11-19_final.stac-item
2023-11-19 11:46:06	ga_s2am_ard_3-2-1_50JNM_2023-11-19_final.stac-item
2023-11-19 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-11-19_final.stac-item
2023-11-19 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-11-19_final.stac-item
2023-11-19 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2023-11-19_final.stac-item
2023-11-29 11:42:13	ga_s2am_ard_3-2-1_50KRG_2023-11-29_nrt.stac-item
2023-11-29 11:42:42	ga_s2am_ard_3-2-1_50KRE_2023-11-29_nrt.stac-item
2023-11-29 11:47:26	ga_s2am_ard_3-2-1_50HLF_2023-11-29_nrt.stac-item
2023-11-30 11:11:00	ga_s2am_ard_3-2-1_52LDL_2023-11-30_nrt.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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