<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mutanga, O.</style></author><author><style face="normal" font="default" size="100%">Skidmore, A. K.</style></author><author><style face="normal" font="default" size="100%">van Wieren, S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Discriminating tropical grass (Cenchrus ciliaris) canopies grown under different nitrogen treatments using spectroradiometry</style></title><secondary-title><style face="normal" font="default" size="100%">Isprs Journal of Photogrammetry and Remote Sensing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">absorption features</style></keyword><keyword><style  face="normal" font="default" size="100%">browse</style></keyword><keyword><style  face="normal" font="default" size="100%">chlorophyll content</style></keyword><keyword><style  face="normal" font="default" size="100%">continuum removal</style></keyword><keyword><style  face="normal" font="default" size="100%">experiment</style></keyword><keyword><style  face="normal" font="default" size="100%">laboratory</style></keyword><keyword><style  face="normal" font="default" size="100%">leaf</style></keyword><keyword><style  face="normal" font="default" size="100%">leaves</style></keyword><keyword><style  face="normal" font="default" size="100%">pasture quality</style></keyword><keyword><style  face="normal" font="default" size="100%">plant</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality</style></keyword><keyword><style  face="normal" font="default" size="100%">reflectance spectroscopy</style></keyword><keyword><style  face="normal" font="default" size="100%">spectral reflectance</style></keyword><keyword><style  face="normal" font="default" size="100%">vegetation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Feb</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">&lt;Go to ISI&gt;://000181137800002</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">57</style></volume><pages><style face="normal" font="default" size="100%">263-272</style></pages><isbn><style face="normal" font="default" size="100%">0924-2716</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Techniques for estimating and mapping pasture quality are critical for a better understanding of wildlife and livestock grazing patterns. Nitrogen is one of the most important elements that determine quality in plants. We assessed the potential to discriminate differences in nitrogen concentration using high-resolution reflectance by growing Cenchrus ciliaris grass with different fertilization treatments in a greenhouse. Canopy spectral measurements from each treatment were taken under controlled laboratory conditions within a period of 4 weeks using a GER 3700 spectroradiometer. Results show that there were statistically significant differences in spectral reflectance between treatments within certain wavelength regions-an encouraging result for classifying and mapping grasslands with different levels of nutrients using hyperspectral remote sensing. We further investigated the effect of varying nitrogen supply to a specific absorption feature in the visible between 550 and 750 nm (R550-750) using continuum-removed spectra. Results show that the high nitrogen treatment had deeper and wider absorption pits as compared to the low nitrogen treatment as well as the control (no nitrogen), which is important for the prediction of nitrogen in grass canopies. This is a promising result for the remote sensing of canopy chemistry since emphasis can be shifted from the mid-infrared region (which is highly masked by water absorption) to the visible region. Overall, the results provide the possibility to map variation in pasture quality using hyperspectral remote sensing. (C) 2002 Published by Elsevier Science B.V.</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><accession-num><style face="normal" font="default" size="100%">ISI:000181137800002</style></accession-num><notes><style face="normal" font="default" size="100%">ISI Document Delivery No.: 648EZTimes Cited: 37Cited Reference Count: 23Cited References: BAILEY DW, 1996, J RANGE MANAGE, V49, P386 BUSCHMANN C, 1993, INT J REMOTE SENS, V14, P711 CARTER GA, 1993, AM J BOT, V80, P239 CLARK RN, 1984, J GEOPHYS RES, V89, P6329 COCHRANE MA, 2000, INT J REMOTE SENS, V21, P2075 DUNGAN J, 1996, REMOTE SENS ENVIRON, V55, P217 ELVIDGE CD, 1990, INT J REMOTE SENS, V11, P1775 FOLEY WJ, 1998, OECOLOGIA, V116, P293 GATES DM, 1965, APPL OPTICS, V4, P11 GITELSON AA, 1999, REMOTE SENS ENVIRON, V69, P296 KOKALY RF, 1999, REMOTE SENS ENVIRON, V67, P267 KOKALY RF, 2001, REMOTE SENS ENVIRON, V75, P153 KUMAR L, 2001, IMAGING SPECTROMETRY, P111 LICHTENTHALER HK, 1996, J PLANT PHYSIOL, V148, P483 LUTHER JE, 1999, REMOTE SENS ENVIRON, V69, P241 MUYA SM, 2000, AFR J ECOL, V38, P62 PENUELAS J, 1994, REMOTE SENS ENVIRON, V48, P135 POOLEY E, 1998, SO AFRICAN GREEN GUI SALISBURY FB, 1985, PLANT PHYSL SCHMIDT KS, 2001, INT J REMOTE SENS, V22, P3421 SIEGAL S, 1988, NONPARAMETRIC STAT B STYLES CV, 1997, AFR J ECOL, V35, P254 YODER BJ, 1995, REMOTE SENS ENVIRON, V53, P199Elsevier science bvAmsterdam</style></notes></record></records></xml>