Several remote sensing based indices have been developed for studying vegetation using varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar (GBN) district where the atmospheric condition is highly influenced by particulate matter loading and human-induced pollution, such indices produce faulty results because of the effects of scattering and absorption in the atm…
CNES is currently carrying out a Phase A study to assess the feasibility of a future hyperspectral imaging sensor (10 m spatial resolution) combined with a panchromatic camera (2.5 m spatial resolution). This mission focuses on both high spatial and spectral resolution requirements, as inherited from previous French studies such as HYPEX, HYPXIM, and BIODIVERSITY. To meet user requirements, cos…
The Unmanned aerial vehicles (UAVs) - based imaging is being intensively explored for precise crop evaluation. Various optical sensors, such as RGB, multi-spectral, and hyper-spectral cameras, can be used for this purpose. Consistent image quality is crucial for accurate plant trait prediction (i.e., phenotyping). However, achieving consistent image quality can pose a challenge as image qualiti…