TY - JOUR ID - ahamed2011 AU - Ahamed, T. AU - Tian, L. AU - Zhang, Y. AU - Ting, K. C. TI - A review of remote sensing methods for biomass feedstock production UR - ://WOS:000292849200002 DO - 10.1016/j.biombioe.2011.02.028 T2 - Biomass & Bioenergy PY - 2011 DA - Jul SN - 0961-9534 VL - 35 IS - 7 SP - 2455-2469 N1 - ISI Document Delivery No.: 793UK Times Cited: 0 Cited Reference Count: 141 Ahamed, T. Tian, L. Zhang, Y. Ting, K. C. Pergamon-elsevier science ltd Oxford AB - Monitoring and maximization of bioenergy yield from biomass feedstock has recently become a critically important goal for researchers. Remote sensing represents a potential method to monitor and estimate biomass so as to increase biomass feedstock production from energy crops. This paper reviews the biophysical properties of biomass and remote sensing methods for monitoring energy crops for site-specific management. While several research studies have addressed the agronomic dimensions of this approach, more research is required on perennial energy crops in order to maximize the yield of biomass feedstock. Assessment of established methods could lead to a new strategy to monitor energy crops for the adoption of site-specific management in biomass feedstock production. In this article, satellite, aerial and ground-based remote sensing's were reviewed and focused on the spatial and temporal resolutions of imagery to adopt for site-specific management. We have concluded that the biomass yield prediction, the ground-based sensing is the most suitable to establish the calibration model and reference for aerial and satellite remote sensing. The aerial and satellite remote sensing are required for wide converge of planning and policy implementations of biomass feedstock production systems. (C) 2011 Elsevier Ltd. All rights reserved. KW - Perennial energy crops KW - Site-specific management KW - Vegetative indices KW - Leaf area index KW - Satellite imagery KW - Remote sensing KW - tropical forest biomass KW - landsat tm data KW - unmanned aerial vehicle KW - leaf-area index KW - aboveground biomass KW - radar backscatter KW - vegetation KW - index KW - water-stress KW - biophysical properties KW - image segmentation ER - TY - JOUR ID - cibula1992 AU - Cibula, W. G. AU - Zetka, E. F. AU - Rickman, D. L. TI - Response of thematic mapper bands to plant water stress UR - http://dx.doi.org/10.1080/01431169208904236 DO - 10.1080/01431169208904236 PR - Taylor & Francis T2 - International Journal of Remote Sensing PY - 1992 DA - 1992-07-01 SN - 0143-1161 VL - 13 IS - 10 SP - 1869-1880 AB - Abstract Changes in leaf reflectance as water content decreases have been hypothesized to occur in the 1 55-1.75 and 2.08-2.35 ?m wavelength regions. To evaluate this hypothesis, studies were conducted on ryegrass (Lolium muitiflorum Lam.) and oats (Avena saliva L.), which were grown in a controlled, outdoor situation. Both fully-watered control beds and water-stressed beds were periodically examined with a spectroradiometer calibrated against a reflectance reference of polytetrafluoroethylene. The observed changes correspond to those predicted by stochastic leaf models employed by other investigators (leaf reflection increases in the l.55-l.75?m region as leaf water content decreases). Although the percentage changes in TM bands 1-3 are nearly as great as those found in TM bands 5 and 7, the absolute values of reflectance change are much lower. We believe that these patterns are probably characteristic of a broad range of vegetation types. In terms of phenomena detection, these patterns should be considered in any practical remote sensing sensor scenario. ER - TY - JOUR ID - cloutis1996 AU - Cloutis, E. A. AU - Connery, D. R. AU - Major, D. J. AU - Dover, F. J. TI - Airborne multi-spectral monitoring of agricultural crop status: effect of time of year, crop type and crop condition parameter UR - http://www.tandfonline.com/doi/abs/10.1080/01431169608949094 DO - 10.1080/01431169608949094 T2 - International Journal of Remote Sensing PY - 1996 DA - 1996/09/01 SN - 0143-1161 VL - 17 IS - 13 SP - 2579-2601 ER - TY - ABST ID - lichtenthaler1996 AU - Lichtenthaler, Hartmut K. TI - Vegetation Stress: an Introduction to the Stress Concept in Plants UR - http://www.sciencedirect.com/science/article/pii/S0176161796802872 DO - 10.1016/s0176-1617(96)80287-2 T2 - Journal of Plant Physiology PY - 1996 SN - 0176-1617 VL - 148 IS - 1–2 SP - 4-14 AB - Summary This is a presentation of the essentials of the present stress concept in plants, which has been well developed in the past 60 years. Any unfavorable condition or substance that affects or blocks a plants metabolism, growth or development, is to be regarded as stress. Plant and vegetation stress can be induced by various natural and anthropogenic stress factors. One has to differentiate between short-term and long-term stress effects as well as between low stress events, which can be partially compensated for by acclimation, adaptation and repair mechanisms, and strong stress or chronic stress events causing considerable damage that may eventually lead to cell and plant death. The different stress syndrome responses of plants are summarized in a scheme. The major abiotic, biotic and anthropogenic stressors are listed. Some stress tolerance mechanisms are mentioned. Stress conditions and stress-induced damage in plants can be detected using the classical ecophysiological methods. In recent years various non-invasive methods sensing different parameters of the chlorophyll fluorescence have been developed to biomonitor stress constraints in plants and damage to their photosynthetic apparatus. These fluorescence methods can be applied repeatedly to the same leaf and plant, e.g. before and after stress events or during recovery. A new dimension in early stress detection in plants has been achieved by the novel high resolution fluorescence imaging analysis of plants, which not only senses the chlorophyll fluorescence, but also the bluegreen fluorescence emanating from epidermis cell walls which can change under stress induced strain. This powerful new technique opens new possibilities for stress detection in plants. KW - Bluegreen fluorescence KW - chlorophyll fluorescence KW - damage KW - resistance KW - long-term stress KW - strain KW - stress-factors ER - TY - JOUR ID - pinder1999 AU - Pinder, J. E. AU - McLeod, K. W. TI - Indications of relative drought stress in longleaf pine from Thematic Mapper data T2 - Photogrammetric Engineering and Remote Sensing PY - 1999 VL - 65 SP - 495–501 ER - TY - JOUR ID - zarco-tejada_p_j_sepulcre-cant_2007 AU - Zarco-Tejada P.J. AU - Sepulcre-Cantó, G. TI - REMOTE SENSING OF VEGETATION BIOPHYSICAL PARAMETERS FOR DETECTING STRESS CONDITION AND LAND COVER CHANGES T2 - Estudios de la Zona No Saturada del Suelo PY - 2007 VL - 8 ER - TY - ELEC ID - idb AU - Henrich, V. AU - Krauss, G. AU - Götze, C. AU - Sandow, C. TI - The IndexDatabase UR - https://www.indexdatabase.de/ CY - Bonn PY - 2011 DA - 2011 ER -