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García, Mariano, Gajardo, John, Riaño, David, Zhao, Kaiguang, Martín, Pilar, Ustin, Susan (2015) Canopy clumping appraisal using terrestrial and airborne laser scanning. Remote Sensing of Environment, 161. 78-88 doi:10.1016/j.rse.2015.01.030

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Reference TypeJournal (article/letter/editorial)
TitleCanopy clumping appraisal using terrestrial and airborne laser scanning
JournalRemote Sensing of Environment
AuthorsGarcía, MarianoAuthor
Gajardo, JohnAuthor
Riaño, DavidAuthor
Zhao, KaiguangAuthor
Martín, PilarAuthor
Ustin, SusanAuthor
Year2015 (May)Volume161
PublisherElsevier BV
DOIdoi:10.1016/j.rse.2015.01.030Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9441110Long-form Identifiermindat:1:5:9441110:2
GUID0
Full ReferenceGarcía, Mariano, Gajardo, John, Riaño, David, Zhao, Kaiguang, Martín, Pilar, Ustin, Susan (2015) Canopy clumping appraisal using terrestrial and airborne laser scanning. Remote Sensing of Environment, 161. 78-88 doi:10.1016/j.rse.2015.01.030
Plain TextGarcía, Mariano, Gajardo, John, Riaño, David, Zhao, Kaiguang, Martín, Pilar, Ustin, Susan (2015) Canopy clumping appraisal using terrestrial and airborne laser scanning. Remote Sensing of Environment, 161. 78-88 doi:10.1016/j.rse.2015.01.030
In(n.d.) Remote Sensing of Environment Vol. 161. Elsevier BV

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Gajardo, John, Riaño, David, García, Mariano, Salas, Javier, Martín, M. Pilar (2020) Estimation of Canopy Gap Fraction from Terrestrial Laser Scanner Using an Angular Grid to Take Advantage of the Full Data Spatial Resolution. Remote Sensing, 12 (10). doi:10.3390/rs12101596
García, Mariano, Popescu, Sorin, Riaño, David, Zhao, Kaiguang, Neuenschwander, Amy, Agca, Muge, Chuvieco, Emilio (2012) Characterization of canopy fuels using ICESat/GLAS data. Remote Sensing of Environment, 123. 81-89 doi:10.1016/j.rse.2012.03.018
Cheng, Tao, Riaño, David, Ustin, Susan L. (2014) Detecting diurnal and seasonal variation in canopy water content of nut tree orchards from airborne imaging spectroscopy data using continuous wavelet analysis. Remote Sensing of Environment, 143. 39-53 doi:10.1016/j.rse.2013.11.018
Cheng, Tao, Riaño, David, Koltunov, Alexander, Whiting, Michael L., Ustin, Susan L., Rodriguez, Jenna (2013) Detection of diurnal variation in orchard canopy water content using MODIS/ASTER airborne simulator (MASTER) data. Remote Sensing of Environment, 132. 1-12 doi:10.1016/j.rse.2012.12.024
Casas, Ángeles, García, Mariano, Siegel, Rodney B., Koltunov, Alexander, Ramírez, Carlos, Ustin, Susan (2016) Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat. Remote Sensing of Environment, 175. 231-241 doi:10.1016/j.rse.2015.12.044
García, Mariano, North, Peter, Viana-Soto, Alba, Stavros, Natasha E., Rosette, Jackie, Martín, M. Pilar, Franquesa, Magí, González-Cascón, Rosario, Riaño, David, Becerra, Javier, Zhao, Kaiguang (2020) Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach. Remote Sensing of Environment, 247. 111893pp. doi:10.1016/j.rse.2020.111893
Ma, Lixia, Zheng, Guang, Wang, Xiaofei, Li, Shiming, Lin, Yi, Ju, Weimin (2018) Retrieving forest canopy clumping index using terrestrial laser scanning data. Remote Sensing of Environment, 210. 452-472 doi:10.1016/j.rse.2018.03.034
Huesca, Margarita, García, Mariano, Roth, Keely L., Casas, Angeles, Ustin, Susan L. (2016) Canopy structural attributes derived from AVIRIS imaging spectroscopy data in a mixed broadleaf/conifer forest. Remote Sensing of Environment, 182. 208-226 doi:10.1016/j.rse.2016.04.020
Ma, Lixia, Zheng, Guang, Wang, Xiaofei, Li, Shiming, Lin, Yi, Ju, Weimin (2018) Corrigendum to “Retrieving forest canopy clumping index using terrestrial laser scanning data” [Remote Sens. Environ. 210 (2018) 452–472]. Remote Sensing of Environment, 211. 472pp. doi:10.1016/j.rse.2018.04.020
Cheng, Yen-Ben, Zarco-Tejada, Pablo J., Riaño, David, Rueda, Carlos A., Ustin, Susan L. (2006) Estimating vegetation water content with hyperspectral data for different canopy scenarios: Relationships between AVIRIS and MODIS indexes. Remote Sensing of Environment, 105 (4). 354-366 doi:10.1016/j.rse.2006.07.005
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