Abstract Sun-Induced chlorophyll Fluorescence (SIF) is the most promising remote sensing
signal to monitor photosynthesis in space and time. However, under stress conditions its …

Early season yield prediction could support rice farmers in adopting precision agriculture for
nitrogen fertilisation management. Remote sensing and machine learning (ML) can be used …

The ongoing impacts of climatic changes, coupled with intensified human activities, are
leading to a significant loss of plant diversity, prompting urgent calls for comprehensive …

Forest fires, while destructive and dangerous, are important to the functioning and renewal
of ecosystems. Over the past 2 decades, large-scale, severe forest fires have become more …

Fast and accurate identification of potato plant traits is essential for formulating effective
cultivation strategies. The integration of spectral cameras on Unmanned Aerial Vehicles …

Chlorophyll is a crucial physiological and biochemical indicator that impacts plant
photosynthesis, accumulation of photosynthetic products, and final yield. The measurement …

Forest fires, while destructive and dangerous, are important to the functioning and renewal
of ecosystems. Over the past two decades, large-scale, severe forest fires have become …

We present a remote sensing analysis to identify potential concentrations of natural
hydrogen by observing fairy circles. Utilising Principal Component Analysis (PCA), distinct …

Abstract The Landsat Satellite System is the world's first and longest running land
observation satellite system. This chapter starts with a review of the Landsat satellites from …

The development of remote sensing means and methods applied to satellite images
currently allows the analysis and monitoring of the environment, a very important research …