Fan Wenyi, H. Baoxin, M.John, L. Mingze, “Compara- tive Study between a New Nonlinear Model and Common Linear Model for Analyzing Laboratory Simulated-Forest Hyperspectral Data,” International Journal of Remote Sensing, Vol. 30, No. 11, 2009, pp. 2951-2962. doi:10.1080/01431160802558659

has been cited by the following article:

• TITLE: Review Article: Remote Sensing, Surface Residue Cover and Tillage Practice

  AUTHORS: Obade Vincent de Paul

  KEYWORDS: Remote Sensing; Residue Cover

  JOURNAL NAME: Journal of Environmental Protection, Vol.3 No.2, February 24, 2012

  ABSTRACT: A growing world population and possible liquid fuel energy shortages are likely to result in worldwide agricultural intensification, and the possible expansion of non-sustainable practices. The adoption of non-sustainable practices could result in the loss of currently productive land, with potential impacts on human welfare and economic viability. One of the easiest techniques to maintain productivity is to maintain surface soil organic matter. However, developing reliable, cost effective and accurate methods for quantifying and monitoring crop residue cover (a major source of soil organic matter) that remains on top of the soil over large spatial extents constitutes a significant challenge. This article reviews potential remote sensing approaches for estimating surface residue cover with a view to mapping tillage practice.