Mapping hailstorm damaged crop area using multispectral satellite data

Lineament mapping using multispectral remote sensing satellite data

The main objective of this work is to design an automatic image processing tool for lineament mapping from LANDSAT-TM satellite data. In doing so, three procedures are involved: (i) image enhancement using histogram equalization technique; (ii) automatic lineament detection using Canny algorithm; and (iii) three-dimensional (3D) lineament visualization using SRTM data. The study shows that Cann...

Mapping vineyard leaf area with multispectral satellite imagery

Vineyard leaf area is a key determinant of grape characteristics and wine quality. As is frequently the case in agriculture, available ground-based leaf area measurements employed by growers are not well suited to larger area mapping. In this study, IKONOS high spatial resolution, multispectral satellite imagery was used to map leaf area throughout two commercial wine grape vineyards (approxima...

Multispectral satellite mapping of crop residue cover and tillage intensity in Iowa

Mapping Arctic Tundra Vegetation Communities Using Field Spectroscopy and Multispectral Satellite Data in North Alaska, USA

The Arctic is currently undergoing intense changes in climate; vegetation composition and productivity are expected to respond to such changes. To understand the impacts of climate change on the function of Arctic tundra ecosystems within the global carbon cycle, it is crucial to improve the understanding of vegetation distribution and heterogeneity at multiple scales. Information detailing the...

Estimating Crop Development Stages from Multispectral Data

Accurate prediction of crop yields requires knowledge of the crop's develop-ment stage at critical times during the growing season. Various meteorological models have been developed to estimate crop development. However, the crop planting date, or equivalently, the date the crop reaches a particular crop devel-· opment stage generally is needed to ini-· tialize these models. Recently, efforts h...