Ramoelo A, Skidmore AK, Schlerf M, Mathieu R, Heitko ¨nig IMA (2011) Water-removed spectra
increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus
concentrations. ISPRS J Photogramm Remote Sens 66:408–417
Rian ˜o D, Vaughan P, Chuvieco E, Zarco-Tejada PJ, Ustin SL (2005) Estimation of fuel moisture
content by inversion of radiative transfer models to simulate equivalent water thickness and dry
matter content: analysis at leaf and canopy level. IEEE Trans Geosci Remote Sens 43:819–826
Riggs GA, Running SW (1991) Detection of canopy water stress in conifers using the Airborne
Imaging Spectrometer. Remote Sens Environ 35:51–68
Roberts DA, Brown K, Green R, Ustin SL, Hinckley T (1998) Investigating the relationship
between liquid water and leaf area in clonal populus. In: Summaries of the 7th annual JPL earth
science workshop. Jet Propulsion Laboratory, Pasadena
Roberts DA, Dennison PE, Peterson S, Sweeny S, Rechel J (2006) Evaluation of Airborne Visible/
Infrared Imaging Spectrometer (AVIRIS) and Moderate Resolution Imaging Spectrometer
(MODIS) measures of live fuel moisture and fuel condition in a shrubland ecosystem in
southern California. J Geophys Res. doi:10.1029/2005JG000113
Roberts DA, Ustin SL, Ogenjemiyo S, Greenberg J, Dobrowski SZ, Chen J, Hinckley TM (2004)
Spectral and structural measures of northwest forest vegetation at leaf to landscape scales.
Ecosystems 7:545–562
Rodrı ´guez-Pe ´rez JR, Rian ˜o D, Carlisle E, Ustin S, Smart DR (2007) Evaluation of hyperspectral
reflectance indexes to detect grapevine water status in vineyards. Am J Enol Viticult
58:302–317
Rollins MG (2009) LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel
assessment. Int J Wildland Fire 18:235–249
Rollins MG, Keane RE, Parsons RA (2004) Mapping fuels and fire regimes using remote sensing,
ecosystem simulation, and gradient modeling. Ecol Appl 14:75–95
Romero A, Aguado I, Yebra M (2012) Estimation of dry matter content in leaves using normalized
indexes and PROSPECT model inversions. Int J Remote Sens 33:396–414
Rouse JW, Haas RW, Schell JA, Deering DH, Harlan JC (1974) Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation. NASA GSFC, Greenbelt
Schlerf M, Atzberger C, Hill J, Buddenbaum H, Werner W, Schu ¨ler G (2010) Retrieval of
chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy.
Int J Appl Earth Observ Geoinform 12:17–26
Schwarz MD, Reed BC, White MA (2002) Assessing satellite-derived start-of-season measures in
the conterminous USA. Int J Clim 22:1793–1805
Serrano L, Ustin SL, Roberts DA, Gamon JA, Pen ˜uelas J (2000) Deriving water content of
chaparral vegetation from AVIRIS data. Remote Sens Environ 74:570–581
Shipley B, Vu TT (2002) Dry matter content as a measure of dry matter concentration in plants and
their parts. New Phytol 153:359–364
Sims DA, Gamon JA (2003) Estimation of vegetation water content and photosynthetic tissue area
from spectral reflectance: a comparison of indices based on liquid water and chlorophyll
absorption features. Remote Sens Environ 84:526–537
Stimson HC, Breshears DD, Ustin SL, Kefauver SC (2005) Spectral sensing of foliar water
conditions in two co-occurring conifer species: pinus edulis and Juniperus monosperma.
Remote Sens Environ 96:108–118
Trombetti M, Rian ˜o D, Rubio MA, Cheng YB, Ustin SL (2008) Multitemporal vegetation canopy
water content retrieval using artificial neural networks for the USA. Remote Sens Environ
112:203–215
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8:127–150
Tucker CJ (1980) Remote sensing of leaf water content in the near infrared. Remote Sens Environ
10:23–32
356
E.R. Hunt Jr. et al.
increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus
concentrations. ISPRS J Photogramm Remote Sens 66:408–417
Rian ˜o D, Vaughan P, Chuvieco E, Zarco-Tejada PJ, Ustin SL (2005) Estimation of fuel moisture
content by inversion of radiative transfer models to simulate equivalent water thickness and dry
matter content: analysis at leaf and canopy level. IEEE Trans Geosci Remote Sens 43:819–826
Riggs GA, Running SW (1991) Detection of canopy water stress in conifers using the Airborne
Imaging Spectrometer. Remote Sens Environ 35:51–68
Roberts DA, Brown K, Green R, Ustin SL, Hinckley T (1998) Investigating the relationship
between liquid water and leaf area in clonal populus. In: Summaries of the 7th annual JPL earth
science workshop. Jet Propulsion Laboratory, Pasadena
Roberts DA, Dennison PE, Peterson S, Sweeny S, Rechel J (2006) Evaluation of Airborne Visible/
Infrared Imaging Spectrometer (AVIRIS) and Moderate Resolution Imaging Spectrometer
(MODIS) measures of live fuel moisture and fuel condition in a shrubland ecosystem in
southern California. J Geophys Res. doi:10.1029/2005JG000113
Roberts DA, Ustin SL, Ogenjemiyo S, Greenberg J, Dobrowski SZ, Chen J, Hinckley TM (2004)
Spectral and structural measures of northwest forest vegetation at leaf to landscape scales.
Ecosystems 7:545–562
Rodrı ´guez-Pe ´rez JR, Rian ˜o D, Carlisle E, Ustin S, Smart DR (2007) Evaluation of hyperspectral
reflectance indexes to detect grapevine water status in vineyards. Am J Enol Viticult
58:302–317
Rollins MG (2009) LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel
assessment. Int J Wildland Fire 18:235–249
Rollins MG, Keane RE, Parsons RA (2004) Mapping fuels and fire regimes using remote sensing,
ecosystem simulation, and gradient modeling. Ecol Appl 14:75–95
Romero A, Aguado I, Yebra M (2012) Estimation of dry matter content in leaves using normalized
indexes and PROSPECT model inversions. Int J Remote Sens 33:396–414
Rouse JW, Haas RW, Schell JA, Deering DH, Harlan JC (1974) Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation. NASA GSFC, Greenbelt
Schlerf M, Atzberger C, Hill J, Buddenbaum H, Werner W, Schu ¨ler G (2010) Retrieval of
chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy.
Int J Appl Earth Observ Geoinform 12:17–26
Schwarz MD, Reed BC, White MA (2002) Assessing satellite-derived start-of-season measures in
the conterminous USA. Int J Clim 22:1793–1805
Serrano L, Ustin SL, Roberts DA, Gamon JA, Pen ˜uelas J (2000) Deriving water content of
chaparral vegetation from AVIRIS data. Remote Sens Environ 74:570–581
Shipley B, Vu TT (2002) Dry matter content as a measure of dry matter concentration in plants and
their parts. New Phytol 153:359–364
Sims DA, Gamon JA (2003) Estimation of vegetation water content and photosynthetic tissue area
from spectral reflectance: a comparison of indices based on liquid water and chlorophyll
absorption features. Remote Sens Environ 84:526–537
Stimson HC, Breshears DD, Ustin SL, Kefauver SC (2005) Spectral sensing of foliar water
conditions in two co-occurring conifer species: pinus edulis and Juniperus monosperma.
Remote Sens Environ 96:108–118
Trombetti M, Rian ˜o D, Rubio MA, Cheng YB, Ustin SL (2008) Multitemporal vegetation canopy
water content retrieval using artificial neural networks for the USA. Remote Sens Environ
112:203–215
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8:127–150
Tucker CJ (1980) Remote sensing of leaf water content in the near infrared. Remote Sens Environ
10:23–32
356
E.R. Hunt Jr. et al.