Carter GA (1991) Primary and secondary effects of water content on the spectral reflectance of
leaves. Am J Bot 78:916–924
Carter GA (1993) Responses of leaf spectral reflectances to plant stress. Am J Bot 80:239–243
Ceccato P, Gobron N, Flasse S, Pinty B, Tarantola S (2002a) Designing a spectral index to
estimate vegetation water content from remote sensing data: part 1 theoretical approach.
Remote Sens Environ 82:188–197
Ceccato P, Flasse S, Gre ´goire JM (2002b) Designing a spectral index to estimate vegetation water
content from remote sensing data: part 2 validation and applications. Remote Sens Environ
82:198–207
Champagne CM, Staenz K, Bannari A, McNairn H, Deguise JC (2003) Validation of a
hyperspectral curve-fitting model for estimation of plant water content of agricultural canopies.
Remote Sens Environ 87:148–160
Cheng T, Rian ˜o D, Koltunov A, Whiting ML, Ustin SL (2011a) Remote detection of water stress
in orchard canopies using MODIS/ASTER airborne simulator (MASTER) data. In: Gao W et al
(eds) Remote sensing and modeling of ecosystems for sustainability VIII, Proc SPIE, vol 8156.
SPIE, Bellingham
Cheng T, Rivard B, Sa ´nchez-Azofeifa A (2011b) Spectroscopic determination of leaf water
content using continuous wavelet analysis. Remote Sens Environ 115:659–670
Cheng YB, Ustin SL, Rian ˜o D, Vanderbilt VC (2008) Water content estimation from hyperspectral
images and MODIS indexes in Southeastern Arizona. Remote Sens Environ 112:363–374
Cheng YB, Zarco-Tejada PJ, Rian ˜o D, Rueda CA, Ustin SL (2006) Estimating vegetation water
content with hyperspectral data for different canopy scenarios: relationships between AVIRIS
and MODIS indexes. Remote Sens Environ 105:354–366
Christensen JH, Hewitson B, Busuioc WA, Chen A, Gao X et al (2007) Regional climate
projections. In: Solomon S et al (eds) Climate change 2007: the physical science basis.
Contribution of working group 1 to the fourth assessment report of the intergovernmental
panel on climate change. Cambridge University Press, Cambridge
Chuvieco E, Aguado I, Cocero D, Rian ˜o D (2003) Design of an empirical index to estimate fuel
moisture content from NOAA-AVHRR analysis in forest fire danger studies. Int J Remote Sens
24:1621–1637
Chuvieco E, Aguado I, Yebra M, Nieto H, Salas J, Martı ´n MP, Vilar L, Martı ´nez J, Martı ´n S, Ibarra
P, Herrera MA, Zamora R (2010) Development of a framework for fire risk assessment using
remote sensing and geographic information system technologies. Ecol Model 221:46–58
Chuvieco E, Rian ˜o D, Aguado I, Cocero D (2002) Estimation of fuel moisture content from
multitemporal analysis of landsat thematic mapper reflectance data: applications in fire danger
assessment. Int J Remote Sens 23:2145–2162
Cohen WB (1991a) Temporal versus spatial variation in leaf reflectance under changing water
stress conditions. Int J Remote Sens 12:1865–1876
Cohen WB (1991b) Chaparral vegetation reflectance and its potential utility for assessment of fire
hazard. Photogramm Eng Remote Sens 57:203–207
Collier P (1989) Radiometric monitoring of moisture stress in irrigated cotton. Int J Remote Sens
10:1445–1450
Curcio JA, Petty CC (1951) The near infrared absorption spectrum of liquid water. J Opt Soc Am
41:302–304
Dasgupta S, Qu JJ (2009) Soil adjusted water content retrievals in grasslands. Int J Remote Sens
30:1019–1043
Dasgupta S, Qu JJ, Hao X, Bhoi S (2007) Evaluating remotely sensed live fuel moisture estimation
for fire behavior predictions in Georgia, USA. Remote Sens Environ 108:138–150
Daughtry CST, Hunt ER (2008) Mitigating the effects of soil and residue water contents on
remotely sensed estimates of crop residue cover. Remote Sens Environ 112:1647–1657
Davidson A, Wang S, Wilmhurst J (2006) Remote sensing of grassland-shrubland vegetation
water content in the shortwave domain. Int J Appl Earth Observ GeoInform 8:225–236
352
E.R. Hunt Jr. et al.
leaves. Am J Bot 78:916–924
Carter GA (1993) Responses of leaf spectral reflectances to plant stress. Am J Bot 80:239–243
Ceccato P, Gobron N, Flasse S, Pinty B, Tarantola S (2002a) Designing a spectral index to
estimate vegetation water content from remote sensing data: part 1 theoretical approach.
Remote Sens Environ 82:188–197
Ceccato P, Flasse S, Gre ´goire JM (2002b) Designing a spectral index to estimate vegetation water
content from remote sensing data: part 2 validation and applications. Remote Sens Environ
82:198–207
Champagne CM, Staenz K, Bannari A, McNairn H, Deguise JC (2003) Validation of a
hyperspectral curve-fitting model for estimation of plant water content of agricultural canopies.
Remote Sens Environ 87:148–160
Cheng T, Rian ˜o D, Koltunov A, Whiting ML, Ustin SL (2011a) Remote detection of water stress
in orchard canopies using MODIS/ASTER airborne simulator (MASTER) data. In: Gao W et al
(eds) Remote sensing and modeling of ecosystems for sustainability VIII, Proc SPIE, vol 8156.
SPIE, Bellingham
Cheng T, Rivard B, Sa ´nchez-Azofeifa A (2011b) Spectroscopic determination of leaf water
content using continuous wavelet analysis. Remote Sens Environ 115:659–670
Cheng YB, Ustin SL, Rian ˜o D, Vanderbilt VC (2008) Water content estimation from hyperspectral
images and MODIS indexes in Southeastern Arizona. Remote Sens Environ 112:363–374
Cheng YB, Zarco-Tejada PJ, Rian ˜o D, Rueda CA, Ustin SL (2006) Estimating vegetation water
content with hyperspectral data for different canopy scenarios: relationships between AVIRIS
and MODIS indexes. Remote Sens Environ 105:354–366
Christensen JH, Hewitson B, Busuioc WA, Chen A, Gao X et al (2007) Regional climate
projections. In: Solomon S et al (eds) Climate change 2007: the physical science basis.
Contribution of working group 1 to the fourth assessment report of the intergovernmental
panel on climate change. Cambridge University Press, Cambridge
Chuvieco E, Aguado I, Cocero D, Rian ˜o D (2003) Design of an empirical index to estimate fuel
moisture content from NOAA-AVHRR analysis in forest fire danger studies. Int J Remote Sens
24:1621–1637
Chuvieco E, Aguado I, Yebra M, Nieto H, Salas J, Martı ´n MP, Vilar L, Martı ´nez J, Martı ´n S, Ibarra
P, Herrera MA, Zamora R (2010) Development of a framework for fire risk assessment using
remote sensing and geographic information system technologies. Ecol Model 221:46–58
Chuvieco E, Rian ˜o D, Aguado I, Cocero D (2002) Estimation of fuel moisture content from
multitemporal analysis of landsat thematic mapper reflectance data: applications in fire danger
assessment. Int J Remote Sens 23:2145–2162
Cohen WB (1991a) Temporal versus spatial variation in leaf reflectance under changing water
stress conditions. Int J Remote Sens 12:1865–1876
Cohen WB (1991b) Chaparral vegetation reflectance and its potential utility for assessment of fire
hazard. Photogramm Eng Remote Sens 57:203–207
Collier P (1989) Radiometric monitoring of moisture stress in irrigated cotton. Int J Remote Sens
10:1445–1450
Curcio JA, Petty CC (1951) The near infrared absorption spectrum of liquid water. J Opt Soc Am
41:302–304
Dasgupta S, Qu JJ (2009) Soil adjusted water content retrievals in grasslands. Int J Remote Sens
30:1019–1043
Dasgupta S, Qu JJ, Hao X, Bhoi S (2007) Evaluating remotely sensed live fuel moisture estimation
for fire behavior predictions in Georgia, USA. Remote Sens Environ 108:138–150
Daughtry CST, Hunt ER (2008) Mitigating the effects of soil and residue water contents on
remotely sensed estimates of crop residue cover. Remote Sens Environ 112:1647–1657
Davidson A, Wang S, Wilmhurst J (2006) Remote sensing of grassland-shrubland vegetation
water content in the shortwave domain. Int J Appl Earth Observ GeoInform 8:225–236
352
E.R. Hunt Jr. et al.