Soil organic matter (SOM) is a key index of soil fertility. Visible and near-infrared (VNIR, 350–2500 nm) reflectance spectroscopy an effective method for modeling SOM content. Characteristic wavelength screening spectral transformation may improve the performance prediction. This study aimed to explore optimal combination characteristic selection hyperspectral SOM. A total 219 topsoil (0–20 cm...

Visible and near infrared spectroscopy (VIS-NIR) is increasingly being transferred from laboratory to industry for in-line portable applications in various domains. By intensively using VIS-NIR spectroscopy, some abnormal observations may certainly arise. It then important properly handle outliers elaborate effective prediction models. The objective of this study investigate the potential a rob...

Abstract Malathion is one of the commonly used organophosphate pesticides known to attack central nervous system, posing a risk humans and other animals upon exposure. The surface enhanced Raman spectroscopy (SERS) has been identified as an indispensable tool for chemical biomolecular sensing. In this work, facile fabrication activated carbon (AC)‐based colloidal SERS active substrate dubbed AC...

The purpose of this paper was to explore the utility of an electronic nose to detect the quality of litchi fruit stored in different environments. In this study, a PEN3 electronic nose was adopted to test the storage time and hardness of litchi that were stored in three different types of environment (room temperature, refrigerator and controlled-atmosphere). After acquiring data about the hard...

Despite the fact that economic data are of great significance in the assessment of human socioeconomic development, the application of this data has been hindered partly due to the unreliable and inefficient economic censuses conducted in developing countries. The night-time light (NTL) imagery from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) provides o...

The Airborne Hyperspectral Scanner (AHS) and the Hyperion satellite hyperspectral sensors were evaluated for their ability to predict topsoil organic carbon (C) in burned mountain areas of northwestern Spain slightly covered by heather vegetation. Predictive models that estimated total organic C (TOC) and oxidizable organic C (OC) content were calibrated using two datasets: a ground observation...

Assessing vegetation water content (VWC) from hyperspectral reflectance dataset poses two foremost questions: what specific wavebands of the SWIR offer a good retrieval and what modeling methods have the best predictive ability. In this paper, we explored the application of multivariate statistical techniques such as stepwise multiple linear regression (SMLR) and partial least square regression...