Nr.
|
Author
|
Title
|
Year
|
Journal
|
Publisher/Loc.
|
Keywords
|
Comment
|
1
|
Ahamed, T.; Tian, L.; Zhang, Y.; Ting, K. C.
|
A review of remote sensing methods for biomass feedstock production
|
2011
|
Biomass & Bioenergy
|
|
Perennial energy crops; Site-specific management; Vegetative indices; Leaf area index; Satellite imagery; Remote sensing; tropical forest biomass; landsat tm data; unmanned aerial vehicle; leaf-area index; aboveground biomass; radar backscatter; vegetation; index; water-stress; biophysical properties; image segmentation
|
|
2
|
Bannari, A.; Morin, D.; Bonn, F.; Huete, A. R.
|
A review of vegetation indices
|
1995
|
Remote Sensing Reviews
|
Taylor & Francis
|
|
|
3
|
Chen, Jing M.; Cihlar, Josef
|
Retrieving leaf area index of boreal conifer forests using Landsat TM images
|
1996
|
Remote Sensing of Environment
|
|
|
|
4
|
Dorigo, W. A.; Zurita-Milla, R.; de Wit, A. J. W.; Brazile, J.; Singh, R.; Schaepman, M. E.
|
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling
|
2007
|
International Journal of Applied Earth Observation and Geoinformation
|
|
data assimilation; agroecosystem modeling; vegetation indices; canopy; reflectance modeling; biophysical variables; biochemical variables; parallel processing; radiative-transfer models; leaf-area index; hyperspectral vegetation; indexes; hydrologic data assimilation; multiple linear-regression; canopy chlorophyll density; ensemble kalman filter; bidirectional; reflectance; soil-moisture; crop models
|
|
5
|
Duveiller, Grégory; Weiss, Marie; Baret, Frédéric; Defourny, Pierre
|
Retrieving wheat Green Area Index during the growing season from optical time series measurements based on neural network radiative transfer inversion
|
2011
|
Remote Sensing of Environment
|
|
Winter wheat; Leaf Area Index; Green Area Index; Radiative transfer inversion; Neural networks; Saturation; SPOT/HRV; SPOT/HRVIR; Time series
|
|
6
|
Glenn, Edward; Huete, Alfredo; Nagler, Pamela; Nelson, Stephen
|
Review - Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape
|
2008
|
Sensors
|
|
|
|
7
|
Goel, Narendra S.; Qin, Wenhan
|
Influences of canopy architecture on relationships between various vegetation indices and LAI and Fpar: A computer simulation
|
1994
|
Remote Sensing Reviews
|
Taylor & Francis
|
|
|
8
|
Jiang, Z.; Huete, A. R.; Didan, K.; Miura, T.
|
Development of a two-band enhanced vegetation index without a blue band
|
|
Remote Sensing of Environment
|
|
Vegetation indices, EVI, EVI2, Linearization, MODIS
|
|
9
|
Lee, W. S.; Alchanatis, V.; Yang, C.; Hirafuji, M.; Moshou, D.; Li, C.
|
Sensing technologies for precision specialty crop production
|
2010
|
Computers and electronics in agriculture
|
|
Specialty crop; Precision agriculture; Sensing; Review; on-the-go; infrared reflectance spectroscopy; soil-moisture content; airborne hyperspectral imagery; grain-sorghum yield; leaf-area index; quickbird satellite imagery; difference vegetation index; tree canopy; characteristics; compaction profile sensor
|
|
10
|
Peñuelas, Josep; Gamon, John A.; Griffin, Kevin L.; Field, Christopher B.
|
Assessing community type, plant biomass, pigment composition, and photosynthetic efficiency of aquatic vegetation from spectral reflectance
|
1993
|
Remote Sensing of Environment
|
|
|
|
11
|
Rondeaux, Geneviève; Steven, Michael; Baret, Frédéric
|
Optimization of soil-adjusted vegetation indices
|
1996
|
Remote Sensing of Environment
|
|
|
|
12
|
Zheng, Guang; Moskal, L. Monika
|
Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors
|
2009
|
Sensors
|
|
LAI; Optical instruments; Radar
|
|