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Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR

Mark Chopping, Crystal B. Schaaf, Feng Zhao, Zhuosen Wang, Anne W. Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull
2011 Remote Sensing of Environment  
Red band bidirectional reflectance factor data from the NASA MODerate resolution Imaging Spectroradiometer (MODIS) acquired over the southwestern United States were interpreted through a simple geometric-optical  ...  distributions both support the contention that the GO model results are not spurious when adjusted against MISR bidirectional reflectance factor data.  ...  Kernel weight maps were obtained via inversion against the same MODIS red band BRFs used for GO model inversion, using the Algorithm for Modeling Bidirectional Reflectance Anisotropies of the Land Surface  ... 
doi:10.1016/j.rse.2010.08.031 fatcat:xpqi55zh3be7vjxokp7atybghu

Amazon forests maintain consistent canopy structure and greenness during the dry season

Douglas C. Morton, Jyoteshwar Nagol, Claudia C. Carabajal, Jacqueline Rosette, Michael Palace, Bruce D. Cook, Eric F. Vermote, David J. Harding, Peter R. J. North
2014 Nature  
Asner for providing Amazon leaf reflectance data.  ...  FLIGHT uses photon trajectories within a canopy to evaluate solar bidirectional reflectance and lidar backscatter retroreflectance (reflectance at 0u phase angle).  ...  MODIS analysis. We used Terra and Aqua MODIS data from 2003-08 to evaluate seasonal changes in canopy reflectance at ICESat footprint locations in eastern Amazonia.  ... 
doi:10.1038/nature13006 pmid:24499816 fatcat:2yon7nugk5dp5egjavqdr5ilda

Modifying Geometric-Optical Bidirectional Reflectance Model for Direct Inversion of Forest Canopy Leaf Area Index

Congrong Li, Jinling Song, Jindi Wang
2015 Remote Sensing  
Currently, the most widely-used model to achieve forest canopy structure parameters is the Li-Strahler geometric-optical bidirectional reflectance model, by considering the effect of crown shape and mutual  ...  In this study, a gap probability model was used to obtain the relationship between the canopy structure parameter nR 2 and LAI.  ...  MODIS 500-m 8-day bidirectional surface reflectance data (MOD09A1) and MISR 1-km bidirectional surface reflectance data, spanning 1 May-28 July 2008, were selected to build the BRF datasets.  ... 
doi:10.3390/rs70911083 fatcat:3z52pqhllrez5h6iltd57si3fa

Progress in Retrieving Canopy Structure Parameters from NASA Multi-Angle Remote Sensing

M. Chopping
2006 2006 IEEE International Symposium on Geoscience and Remote Sensing  
This review will focus on recent progress in exploiting multi-angle data from MISR and the Moderate Resolution Imaging Spectroradiometer (MODIS) to retrieve parameters providing information on canopy structure  ...  All remote sensing of the Earth's surface in the solar wavelengths is impacted by the Bidirectional Reflectance Distribution Function (BRDF): all Earth surfaces scatter light anisotropically.  ...  INTRODUCTION Canopy structure is defined as the vertical and spatial distribution, orientation and density of foliage and its supporting structures.  ... 
doi:10.1109/igarss.2006.70 dblp:conf/igarss/Chopping06 fatcat:dbxryowkczdh5pc3xyeyclvxym

Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations

Yhasmin Mendes de Moura, Thomas Hilker, Fabio Guimarães Gonçalves, Lênio Soares Galvão, João Roberto dos Santos, Alexei Lyapustin, Eduardo Eiji Maeda, Camila Valéria de Jesus Silva
2016 International Journal of Applied Earth Observation and Geoinformation  
We conclude that 39 multi-angular MODIS observations are suitable to extrapolate measures of canopy 40 entropy across different forest types, providing additional estimates of vegetation 41 structure in  ...  Detailed knowledge of vegetation structure is required for accurate modelling 24 of terrestrial ecosystems, but direct measurements of the three dimensional distribution 25 of canopy elements, for instance  ...  A four-scale bidirectional reflectance model 557 based on canopy architecture. IEEE Transactions on Geoscience and Remote 558 Sensing, 35(5), 1316-1337. doi:10.1109/36.628798 559 Chen, J.  ... 
doi:10.1016/j.jag.2016.07.017 pmid:29618964 pmcid:PMC5880039 fatcat:btlculn6xngrnjxmzro3katot4

Detecting vegetation structure using a kernel-based BRDF model

F Gao
2003 Remote Sensing of Environment  
The magnitude of the anisotropy of vegetation is mainly determined by its spectral and structural features. It can be described by the bidirectional reflectance distribution function (BRDF).  ...  The investigation of SSI and RSSI show that they have both theoretical and practical meaning and can be used to distinguish different land cover types or to detect structural changes. D  ...  Acknowledgements This work was supported by NASA under contract NAS5-31369 as part of the EOS-MODIS project.  ... 
doi:10.1016/s0034-4257(03)00100-7 fatcat:pyevlq4rtrbh5o36l45yrefkye

Estimation of vegetation clumping index using MODIS BRDF data

Jan Pisek, Jing Ming Chen, Tiit Nilson
2011 International Journal of Remote Sensing  
In this article, we investigate whether it is feasible to derive the clumping index at 500 m resolution with the 16-day Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution  ...  Previously, an improved angular index named normalized difference between hotspot and darkspot was proposed for retrieving the clumping index using multi-angle remote sensing data.  ...  MODIS MCD43 BRDF product tiles were acquired from Land Processes Distributed Active Archive Center (LP DAAC). We thank Drs.  ... 
doi:10.1080/01431161.2010.507611 fatcat:cvy65zxe5bd43kqw5lc7fh2qsq

Retrieving Forest Canopy Elements Clumping Index Using ICESat GLAS Lidar Data

Lei Cui, Ziti Jiao, Kaiguang Zhao, Mei Sun, Yadong Dong, Siyang Yin, Xiaoning Zhang, Jing Guo, Rui Xie, Zidong Zhu, Sijie Li, Yidong Tong
2021 Remote Sensing  
Our algorithm was formulated to leverage the full vertical canopy profile information of the GLAS full-waveform data; it converted raw waveforms to forest canopy gap distributions and gap fractions of  ...  Clumping index (CI) is a canopy structural variable important for modeling the terrestrial biosphere, but its retrieval from remote sensing data remains one of the least reliable.  ...  Hotspot and darkspot reflectances, which are used to calculate NDHD, are usually reconstructed using bidirectional reflectance distribution function (BRDF) model [12, 13] .  ... 
doi:10.3390/rs13050948 fatcat:ph47rlodondsnd5ff5775pvg5y

Canopy height, crown cover, and aboveground biomass maps for the southwestern United States from MISR, 2000 and 2009

Mark Chopping, Sawahiko Shimada, Michael Bull, John Martonchik
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
These questions can be addressed using measures of forest canopy physical structure (horizontal and vertical distributions) through the synergistic use of data from lidar and radar remote sensing instruments  ...  The approach exploits the structural effects of canopies reflected in observed anisotropy patterns in the MISR red (672 nm) band to retrieve physical parameters.  ...  the nadir camera blue, green, and near-infrared reflectance bidirectional reflectance data led to over-fitting and less accurate results, while kernel weight-predicted regressions were able to predict  ... 
doi:10.1109/igarss.2010.5653064 dblp:conf/igarss/ChoppingSBM10 fatcat:g4uke7esijbyjhjha3jp4jn6lm

Retrieval of canopy height using moderate-resolution imaging spectroradiometer (MODIS) data

Zhuosen Wang, Crystal B. Schaaf, Philip Lewis, Yuri Knyazikhin, Mitchell A. Schull, Alan H. Strahler, Tian Yao, Ranga B. Myneni, Mark J. Chopping, Bryan J. Blair
2011 Remote Sensing of Environment  
., "Retrieval of canopy height using moderate-resolution imaging spectroradiometer (MODIS) data" (2011). NASA Publications. 95.  ...  In this study we use the 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product to develop multivariate linear regression models that  ...  Acknowledgements We would like to acknowledge the entire LVIS team for use of the LVIS data.  ... 
doi:10.1016/j.rse.2011.02.010 fatcat:zqxe2z5fpzgftkj6mojovihrie

Physical Mechanisms in Hyperspectral BRDF Data of Grass and Watercress

St. Sandmeier, Ch. Müller, B. Hosgood, G. Andreoli
1998 Remote Sensing of Environment  
Proper use Address correspondence to St.  ...  Sandmeier, NASA Goddard Space of MODIS and MISR imagery, along with data from other Flight Center, Biospheric Sciences Branch, Code 923, Greenbelt, MD EOS instruments, will require a thorough understanding  ...  anisotropy is most pronounced in the vertically structured grass lawn tremes of a continuous change in BRDF shapes over the Figure 2 .  ... 
doi:10.1016/s0034-4257(98)00060-1 fatcat:vvumovkj4jbg7l4j3gedp4ygay

Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach

Jan Pisek, Miina Rautiainen, Maris Nikopensius, Kairi Raabe
2015 Remote Sensing of Environment  
Our results indicated both semi-empirical and physically-based approaches using MODIS BRDF data do have a potential to track seasonal changes in understory NDVI.  ...  In this short communication paper, we retrieved the seasonal courses of understory Normalized Difference Vegetation Index (NDVI) from MODIS BRDF data using the semi-empirical and physically-based approach  ...  The authors thank Titta Majasalmi, Anu Akujärvi, and Matti Mõttus for participation in field data collection.  ... 
doi:10.1016/j.rse.2015.03.003 fatcat:t4yq5slwkzcdtk4npqlgipt3ge

Influence of data acquisition geometry on soybean spectral response simulated by the prosail model

Fábio M. Breunig, Lênio S. Galvão, Antonio R. Formaggio, José C. N. Epiphanio
2013 Engenharia Agrícola  
Spectroradiometer (MODIS) are used.  ...  In this study, the PROSAIL radiative transfer model was chosen to evaluate the impact of the geometry of data acquisition on soybean reflectance and two vegetation indices (Normalized Difference Vegetation  ...  ACKNOWLEDGEMENTS The authors are very grateful to Grupo André Maggi for providing agronomic information for the project and to the anonymous reviewers for the useful suggestions.  ... 
doi:10.1590/s0100-69162013000100018 fatcat:zs5mizj7arayfitqaz27uxn4wq

Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250m resolution data

Anatoly A. Gitelson, Yi Peng, Karl F. Huemmrich
2014 Remote Sensing of Environment  
C4) and canopy architectures, using close range (6 m above the canopy) radiometric data and daily MODIS data taken during eight growing seasons over three irrigated and rainfed maize and soybean sites.  ...  Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250 m resolution data" (2014).  ...  NDVI, established using daily MODIS 250 m and in situ radiometric data, during the vegetative and reproductive stages. the effects of vertical variability in canopy structure and the paper shows the importance  ... 
doi:10.1016/j.rse.2014.02.014 fatcat:tpcvwhugq5ef7ecgml5i6pvecq

Stochastic transport theory for investigating the three-dimensional canopy structure from space measurements

D HUANG, Y KNYAZIKHIN, W WANG, D DEERING, P STENBERG, N SHABANOV, B TAN, R MYNENI
2008 Remote Sensing of Environment  
The simulated canopy reflectances compare well with the PARABOLA data.  ...  Theoretical and numerical analyses show that the spatial correlation between phytoelements is primarily responsible for the effects of the three-dimensional canopy structure on canopy reflective and absorptive  ...  Annual course of the mean LAI (vertical axis on the left side) over evergreen needle leaf forests located in an area of 1200 km by 1200 km (the MODIS tile h12v03) derived from MODIS data using the MODIS  ... 
doi:10.1016/j.rse.2006.05.026 fatcat:aums4fstvzdere5mgrntxjxnju
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