Population is a key indicator of socioeconomic development, urban planning and environmental
protection, particularly for developing countries like China. But, census data for any …

Remote sensing methods to study spatial and temporal changes in water quality using satellite
or aerial imagery are limited by the inherently low reflectance signal of water across the …

Water quality is of significant concern and ultimately critical to every Canadian’s quality of
life and security. Canada has diverse and vast landscapes and stressors that impact various …

The adjacency effect distorts the top-of-atmosphere (TOA) spectral signals of coastal and
inland waters and is a major challenge for optical remote sensing of nearshore aquatic …

Red and near-infrared line-height algorithms such as the maximum chlorophyll index (MCI)
are often considered optimal for remote sensing of chlorophyll-a (Chl-a) in turbid eutrophic …

Urban flooding is a reoccurring disaster, and its frequency and intensity are likely to increase
in the future due to the increasing frequency of storm events. Up-to-date monitoring on the …

High spatial resolution hyperspectral data often used in precision farming applications are
not available from current satellite sensors, and difficult or expensive to acquire from standard …

This article investigates the scale issue of inaccurate elevation around buildings in digital
surface models (DSMs) and its application in building height estimation. DSMs derived from a …

This study proposes a multi-criteria and hierarchical evaluation system for building
extraction from remotely sensed data. Most of current evaluation methods are focused on …

Envisat’s MERIS and its successor Sentinel OLCI have proven invaluable for documenting
algal bloom conditions in coastal and inland waters. Observations over turbid eutrophic …