The main objectives of this research were to: (a) determine the best hyperspectral wavebands
in the study of vegetation and agricultural crops over the spectral range of 400–2500 nm; …

he main goal of the study was to determine optimal waveband centers and widths required
to best estimate agricultural crop characteristics. The hyperspectral narrowband data was …

The automation of agricultural mapping using satellite-derived remotely sensed data remains
a challenge in Africa because of the heterogeneous and fragmental landscape, complex …

The objective of this paper is to determine spectral bands that are best suited for characterizing
agricultural crop biophysical variables. The data for this study comes from ground-level …

The overarching goal of this study was to map irrigated areas in the Ganges and Indus river
basins using near-continuous time-series (8-day), 500-m resolution, 7-band MODIS land …

The goal of this research was to compare narrowband hyperspectral Hyperion data with
broadband hyperspatial IKONOS data and advanced multispectral Advanced Land Imager (ALI) …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400–…

A Global Irrigated Area Map (GIAM) has been produced for the end of the last millennium
using multiple satellite sensor, secondary, Google Earth and groundtruth data. The data …

A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must
for food and water security analysis. Precise and accurate global cropland extent maps, …

Site-specific information of crop types is required for many agro-environmental assessments.
The study investigated the potential of support vector machines (SVMs) in discriminating …