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Optical remote sensing of vegetation: Modeling, caveats, and algorithms

R.B. Myneni, S. Maggion, J. Iaquinta, J.L. Privette, N. Gobron, B. Pinty, D.S. Kimes, M.M. Verstraete, D.L. Williams
1995 Remote Sensing of Environment  
The state-of-the-art on radiative transfer modeling in vegetation canopies and the application of such models to the interpretation and analysis of remotely sensed optical data is summarized.  ...  Algorithms to estimate surface properties from remote observations are classified as spectral vegetation indices, model inversion, expert systems, neural networks, and genetic algorithms.  ...  Topographic Effects It has long been recognized that topography can significantly modulate remotely sensed radiances, leading to errors in retrieved surface reflectances.  ... 
doi:10.1016/0034-4257(94)00073-v fatcat:qi7ncax7m5dwnb6geagehqotwm

High-resolution sensing for precision agriculture: from Earth-observing satellites to unmanned aerial vehicles

Matthew F. McCabe, Rasmus Houborg, Arko Lucieer, Christopher M. U. Neale, Antonino Maltese
2016 Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII  
With global population projected to approach 9 billion by 2050, it has been estimated that a 40% increase in cereal production will be required to satisfy the worlds growing nutritional demands.  ...  / on 02/12/2017 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx Proc. of SPIE Vol. 9998 999811-8 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 02/12/2017 Terms of Use: http  ...  Statistical or machine learning approaches are generally trained on in-situ measured biophysical (leaf area index) and biochemical (leaf pigment) quantities, or can even use variables retrieved from satellite  ... 
doi:10.1117/12.2241289 fatcat:vkakahj6rzfsnbw2dqtyutbt3y

Monitoring forest succession with multitemporal landsat images: factors of uncertainty

Conghe Song, C.E. Woodcock
2003 IEEE Transactions on Geoscience and Remote Sensing  
Though the study areas are covered predominantly by evergreen needleleaf forests, phenological effect is significant.  ...  The algorithms for removing atmospheric effects from remotely sensed images evaluated include a new version of the dark object subtraction (DOS3) method, the dense dark vegetation (DDV) method, the path  ...  Liang for his advice on use of DDV; G. Wen for his advice on the use of PARA to correct Landsat images; and the three anonymous reviewers for their insightful comments on the manuscript.  ... 
doi:10.1109/tgrs.2003.818367 fatcat:hmnjzpxwlbh4nfbmmzeac6d634

Advances in remote sensing of vegetation function and traits

Rasmus Houborg, Joshua B. Fisher, Andrew K. Skidmore
2015 International Journal of Applied Earth Observation and Geoinformation  
The introduction sets the stage for thirteen Special Issue papers here that focus on novel approaches for exploiting current and future advancements in remote sensor technologies.  ...  Remote sensing of vegetation function and traits has advanced significantly over the past half-century in the capacity to retrieve useful plant biochemical, physiological and structural quantities across  ...  Support was provided by NASA Carbon Cycle Science, Terrestrial Hydrology Program, and Earth Ventures Instruments, and by JPL Research & Technology Development.  ... 
doi:10.1016/j.jag.2015.06.001 fatcat:jmq3tyb6p5aixefy7o4fgehsry

Herbaceous biomass retrieval in habitats of complex composition: a model merging sar images with unmixed landsat tm data

T. Svoray, M. Shoshany
2003 IEEE Transactions on Geoscience and Remote Sensing  
Index Terms-Biomass monitoring, remote sensing, sensors synergy, unmixing.  ...  and the synergy of remote sensing products in geographical information systems for an updated analysis of earth surface processes and especially that effect of hydrological processes on vegetation distribution  ...  In this paper, we present the use of a remote sensing methodology for herbaceous AAB retrievals in the heterogeneous Mediterranean environment.  ... 
doi:10.1109/tgrs.2003.813351 fatcat:uua3grcv7ze5tgwlcpkyfvinjq

Estimating the age of deciduous forests in northeast China with Enhanced Thematic Mapper Plus data acquired in different phenological seasons

Dengqiu Li, Weimin Ju, Wenyi Fan, Zhujun Gu
2014 Journal of Applied Remote Sensing  
Remote sensing data acquired in the leaf-on season is more suitable for estimating forest age than that acquired in the leaf-off season over the study area.  ...  The MLP NN model can be effectively used to retrieve the stand age; the highest coefficient of determination and minimum root mean square error values of retrieved age are 0.47 and 21.3 years for Larix  ...  We also gratefully acknowledge the constructive suggestions by the anonymous reviewers, which helped to improve the quality of manuscript greatly.  ... 
doi:10.1117/1.jrs.8.083670 fatcat:4fbzjuxoafct3n42vdenx6pwri

A Novel Moisture Adjusted Vegetation Index (MAVI) to Reduce Background Reflectance and Topographical Effects on LAI Retrieval

Gaolong Zhu, Weimin Ju, J. M. Chen, Yibo Liu, Lalit Kumar
2014 PLoS ONE  
The effectiveness of MAVI in retrieving leaf area index (LAI) is investigated using Landsat-5 data and field LAI measurements in two forest and two grassland areas.  ...  effects on forest canopy LAI retrieval.  ...  Lymburner et al. indicated that the specific leaf area vegetation index (SLAVI = NIR/(R+SWIR)) had a strong positive correlation with specific leaf area index [28] .  ... 
doi:10.1371/journal.pone.0102560 pmid:25025128 pmcid:PMC4099373 fatcat:6lss3qeqyvawlgk7imnp4uqeea

Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment

Wei Zhao, Jinhu Bian
2019 Mountain Research and Development  
Since 2017, the Center has conducted research on retrieving key ecological parameters such as the leaf area index (LAI) and net primary productivity (NPP) in mountain areas by choosing different topographic  ...  sensing data over mountains; (3) remote sensing modeling, retrieval, and assimilation methodologies for land surface information in mountain areas; (4) scaling effects and validation of remote sensing  ...  AUTHORS Conceptual design of the Wanglang integrated observation and experimental station, which incorporates integrated space-, air-, and field-based remote-sensing observation.  ... 
doi:10.1659/mrd-journal-d-19-00029.1 fatcat:ei3jeplrhnee7ebzbctzj4jv5e

Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments

Jianguang Wen, Qiang Liu, Qing Xiao, Qinhuo Liu, Dongqin You, Dalei Hao, Shengbiao Wu, Xingwen Lin
2018 Remote Sensing  
of BRDFs derived with remote sensing satellites.  ...  The discussion focuses on land surface reflectance retrieval over mountainous areas, the difference in solo slope and composite slope BRDF models, and suggested future research to improve the accuracy  ...  (NDVI), leaf area index (LAI), and fractional photosynthetically active radiation (FPAR)) [6, 7] .  ... 
doi:10.3390/rs10030370 fatcat:ayydrp5kunflfdfka3atsvqwge

Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture

Philip Marzahn, Swen Meyer
2020 Remote Sensing  
This paper assesses the potential of microwave remote sensing data for retrieving soil physical properties such as soil texture.  ...  Microwave remote sensing is able to penetrate in an imaged media (soil, vegetation), thus being capable of retrieving information beneath such a surface.  ...  Due to high correlation, the spatial distribution of many essential vegetation parameters such as biomass, crop coverage, leaf area index (LAI) and vegetation height have been retrieved from NDVI products  ... 
doi:10.3390/rs12162660 fatcat:alckjeduxnerxcmf64bvoyabha

IMPACT OF DIFFERENT TOPOGRAPHIC CORRECTIONS ON PREDICTION ACCURACY OF FOLIAGE PROJECTIVE COVER (FPC) IN A TOPOGRAPHICALLY COMPLEX TERRAIN

S. Ediriweera, S. Pathirana, T. Danaher, D. Nichols, T. Moffiet
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Quantitative retrieval of land surface biological parameters (e.g. foliage projective cover [FPC] and Leaf Area Index) is crucial for forest management, ecosystem modelling, and global change monitoring  ...  Selection of a suitable topographic correction method on remotely sensed spectral information is still an unresolved problem.  ...  However, remote sensing of rugged terrain, mainly characterized by high topographic relief, presents unique challenges in monitoring biophysical attributes not encountered on flat terrain.  ... 
doi:10.5194/isprsannals-i-7-123-2012 fatcat:ssffqmlg6bb3nnjod5ta2u3dey

Preface: Remote Sensing in Coastal Environments

Deepak Mishra, Richard Gould
2016 Remote Sensing  
The Special Issue (SI) on "Remote Sensing in Coastal Environments" presents a wide range of articles focusing on a variety of remote sensing models and techniques to address coastal issues and processes  ...  The SI is comprised of twenty-one papers, covering a broad range of research topics that employ remote sensing imagery, models, and techniques to monitor water quality, vegetation, habitat suitability,  ...  The section below briefly summarizes each paper published in the Special Issue on "Remote Sensing in Coastal Environments". Highlights of Research Articles In the study by El-habashi et al.  ... 
doi:10.3390/rs8080665 fatcat:n3kzyuvjkrdxhe3ww3wxudzole

Estimating Forest fAPAR from Multispectral Landsat-8 Data Using the Invertible Forest Reflectance Model INFORM

Huili Yuan, Ronghua Ma, Clement Atzberger, Fei Li, Steven Loiselle, Juhua Luo
2015 Remote Sensing  
area index (LAI), crown coverage and stem density as well as leaf composition.  ...  To establish the relationship between forest fAPAR and the reflectance modeled by INFORM, a logarithmic relationship between LAI and fAPAR was used previously established using on-site field measurements  ...  Acknowledgments This study was financially supported by the "Strategic Priority Research Program-Climate Change: Carbon Budget and Related Issues" of the Chinese Academy of Sciences (Grant No.  ... 
doi:10.3390/rs70607425 fatcat:jedbh7sldjbdtn66u33ppysrpq

A comparison of foliage profiles in the Sierra National Forest obtained with a full-waveform under-canopy EVI lidar system with the foliage profiles obtained with an airborne full-waveform LVIS lidar system

Feng Zhao, Xiaoyuan Yang, Alan H. Strahler, Crystal L. Schaaf, Tian Yao, Zhuosen Wang, Miguel O. Román, Curtis E. Woodcock, Wenge Ni-Meister, David L.B. Jupp, Jenny L. Lovell, Darius S. Culvenor (+3 others)
2013 Remote Sensing of Environment  
Also we noted the obvious effects of local topography on foliage profile retrievals, particularly on the topmost height retrievals.  ...  coverage, indicating the apparent scanning perspective effect on foliage profile retrievals.  ...  We are also grateful to the many suggestions made by reviewers that significantly improved our paper.  ... 
doi:10.1016/j.rse.2013.05.020 fatcat:unemyghsknbchmjpfkz3a3jw64

Remotely-sensed assessment of the impact of century-old biochar on chicory crop growth using high-resolution UAV-based imagery

Ramin Heidarian Dehkordi, Antoine Denis, Julien Fouche, Victor Burgeon, Jean Thomas Cornelis, Bernard Tychon, Edmundo Placencia Gomez, Jeroen Meersmans
2020 International Journal of Applied Earth Observation and Geoinformation  
However, studies using high-resolution remote sensing data to focus on century-old biochar effects are not yet available.  ...  High-resolution RGB, multispectral and thermal sensors mounted on unmanned aerial vehicles (UAVs) were used to generate high frequency remote sensing information on the crop dynamics.  ...  (a) Map of mean crop water stress index (mean Tcanopy -Tair) computed from the three thermal acquisitions along with the topographic wetness index (TWI) map on the 9th of May 2018 over the study field.  ... 
doi:10.1016/j.jag.2020.102147 fatcat:nhfj7dcmhrfglbc4dhsum575ci
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