This paper presents new equations for estimating above-ground biomass (AGB) and
biomass components of seventeen forest species in the temperate forests of northwestern …

This research investigated three machine learning approaches–decision trees, random
forest, and support vector machines–to classify local forest communities at the Huntington …

Irrigation-induced soil salinization is an important land degradation process in northeastern
Brazil. We used multispectral and hyperspectral sensors to detect saline-exposed soils in an …

Research on separation of successional stages has been an active topic for the past two
decades because successional vegetation plays an important role in the carbon budget and …

This study aimed to delineate the most suitable areas for sustainable citrus production by
integrating multi-criteria decision analysis, time-series remote sensing, and principal …

Apart from the earmarked Ramsar sites along the coastal zones of Ghana, no inventory has
been conducted to determine the location, distribution, and status of wetlands within any of …

El objetivo principal fue evaluar la capacidad de dos plataformas satelitales: SPOT y
Quickbird® para la estimación de parámetros forestales de interés en un área bajo manejo …

Image interpretation domains have witnessed the application of many intelligent
methodologies over the past decade; however the effective use of evolutionary computing …

Este estudio tuvo como objetivo delinear las áreas más adecuadas para la producción
sostenible de cítricos mediante la integración de análisis de decisión multicriterio …

The main objective was to evaluate the capacity of two satellite platforms: SPOT and
Quickbird® in order to estimate the forest parameters of interest in an area under …