The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …

In hyperspectral unmixing, the prevalent model used is the linear mixing model, and a large
variety of techniques based on this model has been proposed to obtain endmembers and …

Accurate crop mapping provides important and timely information for decision support on the
estimation of crop production at large scale. Most existing crop-specific cover products …

Classification of remotely sensed imagery for land-cover mapping purposes has attracted
significant attention from researchers and practitioners. Numerous studies conducted over …

The red edge position (REP) in the vegetation spectral reflectance is a surrogate measure of
vegetation chlorophyll content, and hence can be used to monitor the health and function of …

Remote sensing can provide a fast and reliable alternative for traditional in situ water status
measurement in vineyards. Several vegetation indices (VIs) derived from aerial multispectral …

Maps of species' distributions or habitat suitability are required for many aspects of
environmental research, resource management and conservation planning. These include …

Wetland vegetation plays a key role in the ecological functions of wetland environments.
Remote sensing techniques offer timely, up-to-date, and relatively accurate information for …

The composite nature of remotely sensed spectral information often masks diagnostic
spectral features and hampers the detailed identification and mapping of targeted …

Vegetation indices play an important role in monitoring variations in vegetation. The
Enhanced Vegetation Index (EVI) proposed by the MODIS Land Discipline Group and the …