This is the polished aggregated AOD yearly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. This dataset is generated by av
Atmospheric correction is a crucial preprocessing step for the analysis of optical satellite imagery like Landsat. Among the radiance-modifying gases, atmospheric water vapor is spatially and temporal
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 1997-05-10 (16:09:04.40
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, originally collected on 2002-08-22 (15:15:07.3
