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
2023-11-14 10:50:19	ga_s2am_ard_3-2-1_53LPH_2023-11-14_final.stac-item
2023-11-14 10:50:26	ga_s2am_ard_3-2-1_53LMH_2023-11-14_final.stac-item
2023-11-14 10:51:24	ga_s2am_ard_3-2-1_53LMD_2023-11-14_final.stac-item
2023-11-14 10:51:39	ga_s2am_ard_3-2-1_53LMC_2023-11-14_final.stac-item
2023-11-14 10:51:53	ga_s2am_ard_3-2-1_53KMB_2023-11-14_final.stac-item
2023-11-14 10:52:04	ga_s2am_ard_3-2-1_53KNA_2023-11-14_final.stac-item
2023-11-14 10:52:33	ga_s2am_ard_3-2-1_53KNU_2023-11-14_final.stac-item
2023-11-14 10:53:06	ga_s2am_ard_3-2-1_53KMS_2023-11-14_final.stac-item
2023-11-14 10:53:10	ga_s2am_ard_3-2-1_53KKS_2023-11-14_final.stac-item
2023-11-14 10:53:27	ga_s2am_ard_3-2-1_52KHA_2023-11-14_final.stac-item
2023-11-14 10:53:56	ga_s2am_ard_3-2-1_53KKP_2023-11-14_final.stac-item
2023-11-14 10:53:59	ga_s2am_ard_3-2-1_53JMN_2023-11-14_final.stac-item
2023-11-14 10:54:07	ga_s2am_ard_3-2-1_53JLN_2023-11-14_final.stac-item
2023-11-14 10:54:25	ga_s2am_ard_3-2-1_52JHS_2023-11-14_final.stac-item
2023-11-14 10:54:29	ga_s2am_ard_3-2-1_52JGS_2023-11-14_final.stac-item
2023-11-14 10:54:46	ga_s2am_ard_3-2-1_52JFR_2023-11-14_final.stac-item
2023-11-14 10:55:09	ga_s2am_ard_3-2-1_53JKJ_2023-11-14_final.stac-item
2023-11-14 10:55:12	ga_s2am_ard_3-2-1_52JGP_2023-11-14_final.stac-item
2023-11-14 10:55:30	ga_s2am_ard_3-2-1_52JFN_2023-11-14_final.stac-item
2023-11-14 10:55:33	ga_s2am_ard_3-2-1_52JEN_2023-11-14_final.stac-item
2023-11-14 10:55:45	ga_s2am_ard_3-2-1_52JFM_2023-11-14_final.stac-item
2023-11-14 10:55:47	ga_s2am_ard_3-2-1_52JEM_2023-11-14_final.stac-item
2023-11-14 10:55:52	ga_s2am_ard_3-2-1_52JFM_2023-11-14_final.stac-item
2023-11-14 10:55:52	ga_s2am_ard_3-2-1_52JFL_2023-11-14_final.stac-item
2023-11-14 10:55:56	ga_s2am_ard_3-2-1_53JKF_2023-11-14_final.stac-item
2023-11-14 10:56:03	ga_s2am_ard_3-2-1_52JEL_2023-11-14_final.stac-item
2023-11-15 10:19:36	ga_s2am_ard_3-2-1_54LZQ_2023-11-15_final.stac-item
2023-11-15 10:19:40	ga_s2am_ard_3-2-1_54LYQ_2023-11-15_final.stac-item
2023-11-15 10:19:51	ga_s2am_ard_3-2-1_54LZP_2023-11-15_final.stac-item
2023-11-15 10:19:54	ga_s2am_ard_3-2-1_54LYP_2023-11-15_final.stac-item
2023-11-15 10:20:09	ga_s2am_ard_3-2-1_54LYN_2023-11-15_final.stac-item
2023-11-15 10:20:12	ga_s2am_ard_3-2-1_54LXN_2023-11-15_final.stac-item
2023-11-15 10:20:34	ga_s2am_ard_3-2-1_54LZL_2023-11-15_final.stac-item
2023-11-15 10:21:06	ga_s2am_ard_3-2-1_54LYJ_2023-11-15_final.stac-item
2023-11-15 10:21:21	ga_s2am_ard_3-2-1_54LYH_2023-11-15_final.stac-item
2023-11-15 10:21:25	ga_s2am_ard_3-2-1_54LXH_2023-11-15_final.stac-item
2023-11-15 10:21:39	ga_s2am_ard_3-2-1_54KXG_2023-11-15_final.stac-item
2023-11-15 10:21:43	ga_s2am_ard_3-2-1_54KWG_2023-11-15_final.stac-item
2023-11-15 10:21:45	ga_s2am_ard_3-2-1_54KVG_2023-11-15_final.stac-item
2023-11-15 10:22:33	ga_s2am_ard_3-2-1_54KUD_2023-11-15_final.stac-item
2023-11-15 10:22:41	ga_s2am_ard_3-2-1_54KWC_2023-11-15_final.stac-item
2023-11-15 10:22:52	ga_s2am_ard_3-2-1_54KXB_2023-11-15_final.stac-item
2023-11-15 10:23:45	ga_s2am_ard_3-2-1_54KUU_2023-11-15_final.stac-item
2023-11-15 10:24:18	ga_s2am_ard_3-2-1_54JTS_2023-11-15_final.stac-item
2023-11-15 10:24:26	ga_s2am_ard_3-2-1_54JVR_2023-11-15_final.stac-item
2023-11-15 10:24:32	ga_s2am_ard_3-2-1_54JTR_2023-11-15_final.stac-item
2023-11-15 10:24:40	ga_s2am_ard_3-2-1_54JVQ_2023-11-15_final.stac-item
2023-11-15 10:25:16	ga_s2am_ard_3-2-1_54JTN_2023-11-15_final.stac-item
2023-11-15 10:25:27	ga_s2am_ard_3-2-1_54JUM_2023-11-15_final.stac-item
2023-11-15 10:26:14	ga_s2am_ard_3-2-1_54HTJ_2023-11-15_final.stac-item
2023-11-15 10:26:49	ga_s2am_ard_3-2-1_53HPB_2023-11-15_final.stac-item
2023-11-15 10:27:10	ga_s2am_ard_3-2-1_54HTE_2023-11-15_final.stac-item
2023-11-15 10:27:11	ga_s2am_ard_3-2-1_53HQV_2023-11-15_final.stac-item
2023-11-15 10:27:13	ga_s2am_ard_3-2-1_53HPV_2023-11-15_final.stac-item
2023-11-15 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-11-15_final.stac-item
2023-11-15 12:03:57	ga_s2am_ard_3-2-1_50KKA_2023-11-15_final.stac-item
2023-11-15 12:04:05	ga_s2am_ard_3-2-1_50KMV_2023-11-15_final.stac-item
2023-11-15 12:04:09	ga_s2am_ard_3-2-1_50KLV_2023-11-15_final.stac-item
2023-11-15 12:04:12	ga_s2am_ard_3-2-1_50KKV_2023-11-15_final.stac-item
2023-11-15 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2023-11-15_final.stac-item
2023-11-15 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-11-15_final.stac-item
2023-11-15 12:04:52	ga_s2am_ard_3-2-1_50JLS_2023-11-15_final.stac-item
2023-11-15 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-11-15_final.stac-item
2023-11-15 12:05:10	ga_s2am_ard_3-2-1_50JKR_2023-11-15_final.stac-item
2023-11-15 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-11-15_final.stac-item
2023-11-15 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-15_final.stac-item
2023-11-15 12:05:57	ga_s2am_ard_3-2-1_49JGH_2023-11-15_final.stac-item
2023-11-15 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-11-15_final.stac-item
2023-11-25 12:00:35	ga_s2am_ard_3-2-1_50LNP_2023-11-25_nrt.stac-item
2023-11-25 12:00:42	ga_s2am_ard_3-2-1_50LQN_2023-11-25_nrt.stac-item
2023-11-25 12:00:49	ga_s2am_ard_3-2-1_50LNN_2023-11-25_nrt.stac-item
2023-11-25 12:00:57	ga_s2am_ard_3-2-1_50LQM_2023-11-25_nrt.stac-item
2023-11-25 12:01:04	ga_s2am_ard_3-2-1_50LNM_2023-11-25_nrt.stac-item
2023-11-25 12:01:07	ga_s2am_ard_3-2-1_50LMM_2023-11-25_nrt.stac-item
2023-11-25 12:01:29	ga_s2am_ard_3-2-1_50LNK_2023-11-25_nrt.stac-item
2023-11-25 12:01:31	ga_s2am_ard_3-2-1_50LMK_2023-11-25_nrt.stac-item
2023-11-25 12:02:50	ga_s2am_ard_3-2-1_50KNE_2023-11-25_nrt.stac-item
2023-11-25 12:02:53	ga_s2am_ard_3-2-1_50KLE_2023-11-25_nrt.stac-item
2023-11-25 12:02:56	ga_s2am_ard_3-2-1_50KKE_2023-11-25_nrt.stac-item
2023-11-25 12:05:27	ga_s2am_ard_3-2-1_49JFK_2023-11-25_nrt.stac-item
2023-11-25 12:05:42	ga_s2am_ard_3-2-1_49JFJ_2023-11-25_nrt.stac-item
2023-11-26 09:57:53	ga_s2am_ard_3-2-1_54HWB_2023-11-26_nrt.stac-item
2023-11-26 09:58:04	ga_s2am_ard_3-2-1_54GXA_2023-11-26_nrt.stac-item
2023-11-26 09:58:07	ga_s2am_ard_3-2-1_54GWA_2023-11-26_nrt.stac-item
2023-11-26 09:58:18	ga_s2am_ard_3-2-1_54GXV_2023-11-26_nrt.stac-item
2023-11-26 09:58:20	ga_s2am_ard_3-2-1_54GWV_2023-11-26_nrt.stac-item
2023-11-26 09:58:25	ga_s2am_ard_3-2-1_54GXU_2023-11-26_nrt.stac-item
2023-11-26 09:58:27	ga_s2am_ard_3-2-1_54GWU_2023-11-26_nrt.stac-item
2023-11-26 11:30:08	ga_s2am_ard_3-2-1_52LCP_2023-11-26_nrt.stac-item
2023-11-26 11:30:17	ga_s2am_ard_3-2-1_51LZJ_2023-11-26_nrt.stac-item
2023-11-26 11:30:23	ga_s2am_ard_3-2-1_51LXJ_2023-11-26_nrt.stac-item
2023-11-26 11:30:30	ga_s2am_ard_3-2-1_52LBN_2023-11-26_nrt.stac-item
2023-11-26 11:30:32	ga_s2am_ard_3-2-1_51LZH_2023-11-26_nrt.stac-item
2023-11-26 11:30:35	ga_s2am_ard_3-2-1_51LYH_2023-11-26_nrt.stac-item
2023-11-26 11:30:38	ga_s2am_ard_3-2-1_51LXH_2023-11-26_nrt.stac-item
2023-11-26 11:30:44	ga_s2am_ard_3-2-1_52LBM_2023-11-26_nrt.stac-item
2023-11-26 11:30:46	ga_s2am_ard_3-2-1_51LZG_2023-11-26_nrt.stac-item
2023-11-26 11:30:49	ga_s2am_ard_3-2-1_51LYG_2023-11-26_nrt.stac-item
2023-11-26 11:30:53	ga_s2am_ard_3-2-1_51LXG_2023-11-26_nrt.stac-item
2023-11-26 11:37:19	ga_s2am_ard_3-2-1_51HUA_2023-11-26_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

Other products

All years