153
Schaberg PG, Minocha R, Long S, Halman JM, Hawley GJ, Eagar C (2011) Calcium addition at
the Hubbard Brook Experimental Forest increases the capacity for stress tolerance and carbon
capture in red spruce (Picea rubens) trees during the cold season. Trees 25(6):1053–1061
Schaberg PG, Murakami PF, Butnor JR, Hawley GJ (2017) Experimental branch cooling increases
foliar sugar and anthocyanin concentrations in sugar maple at the end of the growing season.
Can J For Res 47(5):696–701
Senf C, Seidl R, Hostert P (2017) Remote sensing of forest insect disturbances: current state and
future directions. Int J Appl Earth Obs Geoinf 60:49–60
Serbin SP, Singh A, McNeil BE, Kingdon CC, Townsend PA (2014) Spectroscopic determination
of leaf morphological and biochemical traits for northern temperate and boreal tree species.
Ecol Appl 24(7):1651–1669
Serbin SP, Singh A, Desai AR, Dubois SG, Jablonski AD, Kingdon CC et al (2015) Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using
imaging spectroscopy. Remote Sens Environ 167:78–87
Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance
across a wide range of species, leaf structures and developmental stages. Remote Sens Environ
81(2–3):337–354
Singh A, Serbin SP, McNeil BE, Kingdon CC, Townsend PA (2015) Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.
Ecol Appl 25(8):2180–2197
Sitzia T, Campagnaro T, Kowarik I, Trentanovi G (2016) Using forest management to control invasive alien species: helping implement the new European regulation on invasive alien species.
Biol Invasions 18(1):1–7
Sivanpillai R, Smith CT, Srinivasan R, Messina MG, Ben Wu X (2006) Estimation of managed
loblolly pine stand age and density with Landsat ETM+ data. For Ecol Manag 223(1–3):247–
254. https://doi.org/10.1016/j.foreco.2005.11.013
Smith ML, Ollinger SV, Martin ME, Aber JD, Hallett RA, Goodale CL (2002) Direct estimation
of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen.
Ecol Appl 12(5):1286–1302
Strimbeck GR, Schaberg PG, Fossdal CG, Schröder WP, Kjellsen TD (2015) Extreme low temperature tolerance in woody plants. Front Plant Sci 6:884
Thenkabail PS, Mariotto I, Gumma MK, Middleton EM, Landis DR, Huemmrich KF (2013)
Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband
vegetation indices (HVIs) for biophysical characterization and discrimination of crop types
using field reflectance and Hyperion/EO-1 data. IEEE J-STARS 6(2):427–439
Thompson I, Mackey B, McNulty S, Mosseler A (2009) Forest resilience, biodiversity, and climate
change. In secretariat of the convention on biological diversity, Montreal. Technical Series No.
43. Vol 43, pp 1–67
Tomback DF, Achuff P (2010) Blister rust and western forest biodiversity: ecology, values and
outlook for white pines. For Pathol 40(3–4):186–225
Townsend PA, Foster JR, Chastain RA, Currie WS (2003) Application of imaging spectroscopy to
mapping canopy nitrogen in the forests of the central appalachian mountains using hyperion
and aviris. IEEE Trans Geosci Remote Sens 41(6):1347–1354
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8:127–150
Vogelmann JE, Rock BN, Moss DM (1993) Red edge spectral measurements from sugar maple
leaves. Int J Remote Sens 14(8):1563–1575
White K, Pontius J, Schaberg P (2014) Remote sensing of spring phenology in northeastern forests: a comparison of methods, field metrics and sources of uncertainty. Remote Sens Environ
148:97–107. https://doi.org/10.1016/j.rse.2014.03.017
Williams AP, Hunt ER (2002) Estimation of leafy spurge cover from hyperspectral imagery using
mixture tuned matched filtering. Remote Sens Environ 82(2–3):446–456
Williams P, Norris K (2001) Near-infrared Technology in the Agricultural and Food Industries.
American Association of Cereal Chemists, Inc., St. Paul
6 Remote Sensing for Early, Detailed, and Accurate Detection of Forest Disturbance…
Schaberg PG, Minocha R, Long S, Halman JM, Hawley GJ, Eagar C (2011) Calcium addition at
the Hubbard Brook Experimental Forest increases the capacity for stress tolerance and carbon
capture in red spruce (Picea rubens) trees during the cold season. Trees 25(6):1053–1061
Schaberg PG, Murakami PF, Butnor JR, Hawley GJ (2017) Experimental branch cooling increases
foliar sugar and anthocyanin concentrations in sugar maple at the end of the growing season.
Can J For Res 47(5):696–701
Senf C, Seidl R, Hostert P (2017) Remote sensing of forest insect disturbances: current state and
future directions. Int J Appl Earth Obs Geoinf 60:49–60
Serbin SP, Singh A, McNeil BE, Kingdon CC, Townsend PA (2014) Spectroscopic determination
of leaf morphological and biochemical traits for northern temperate and boreal tree species.
Ecol Appl 24(7):1651–1669
Serbin SP, Singh A, Desai AR, Dubois SG, Jablonski AD, Kingdon CC et al (2015) Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using
imaging spectroscopy. Remote Sens Environ 167:78–87
Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance
across a wide range of species, leaf structures and developmental stages. Remote Sens Environ
81(2–3):337–354
Singh A, Serbin SP, McNeil BE, Kingdon CC, Townsend PA (2015) Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.
Ecol Appl 25(8):2180–2197
Sitzia T, Campagnaro T, Kowarik I, Trentanovi G (2016) Using forest management to control invasive alien species: helping implement the new European regulation on invasive alien species.
Biol Invasions 18(1):1–7
Sivanpillai R, Smith CT, Srinivasan R, Messina MG, Ben Wu X (2006) Estimation of managed
loblolly pine stand age and density with Landsat ETM+ data. For Ecol Manag 223(1–3):247–
254. https://doi.org/10.1016/j.foreco.2005.11.013
Smith ML, Ollinger SV, Martin ME, Aber JD, Hallett RA, Goodale CL (2002) Direct estimation
of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen.
Ecol Appl 12(5):1286–1302
Strimbeck GR, Schaberg PG, Fossdal CG, Schröder WP, Kjellsen TD (2015) Extreme low temperature tolerance in woody plants. Front Plant Sci 6:884
Thenkabail PS, Mariotto I, Gumma MK, Middleton EM, Landis DR, Huemmrich KF (2013)
Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband
vegetation indices (HVIs) for biophysical characterization and discrimination of crop types
using field reflectance and Hyperion/EO-1 data. IEEE J-STARS 6(2):427–439
Thompson I, Mackey B, McNulty S, Mosseler A (2009) Forest resilience, biodiversity, and climate
change. In secretariat of the convention on biological diversity, Montreal. Technical Series No.
43. Vol 43, pp 1–67
Tomback DF, Achuff P (2010) Blister rust and western forest biodiversity: ecology, values and
outlook for white pines. For Pathol 40(3–4):186–225
Townsend PA, Foster JR, Chastain RA, Currie WS (2003) Application of imaging spectroscopy to
mapping canopy nitrogen in the forests of the central appalachian mountains using hyperion
and aviris. IEEE Trans Geosci Remote Sens 41(6):1347–1354
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8:127–150
Vogelmann JE, Rock BN, Moss DM (1993) Red edge spectral measurements from sugar maple
leaves. Int J Remote Sens 14(8):1563–1575
White K, Pontius J, Schaberg P (2014) Remote sensing of spring phenology in northeastern forests: a comparison of methods, field metrics and sources of uncertainty. Remote Sens Environ
148:97–107. https://doi.org/10.1016/j.rse.2014.03.017
Williams AP, Hunt ER (2002) Estimation of leafy spurge cover from hyperspectral imagery using
mixture tuned matched filtering. Remote Sens Environ 82(2–3):446–456
Williams P, Norris K (2001) Near-infrared Technology in the Agricultural and Food Industries.
American Association of Cereal Chemists, Inc., St. Paul
6 Remote Sensing for Early, Detailed, and Accurate Detection of Forest Disturbance…