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Remote Sensing of Fractional Green Vegetation Cover Using Spatially-Interpolated Endmembers

Brian Johnson, Ryutaro Tateishi, Toshiyuki Kobayashi
2012 Remote Sensing  
A common approach for estimating FVC involves the linear unmixing of two spectral endmembers in a remote sensing image; bare soil and green vegetation.  ...  Fractional green vegetation cover (FVC) is a useful parameter for many environmental and climate-related applications.  ...  Acknowledgements This research was supported by the Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Foreign Researchers.  ... 
doi:10.3390/rs4092619 fatcat:7jooixt2qje2xfbjgijdkaceoe

Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA)

K.R. Thorp, A.N. French, A. Rango
2013 Remote Sensing of Environment  
Maps of endmember fractional cover for green shrub vegetation, nonphotosynthetic grass vegetation, and bare soil were comparable to an earlier vegetation classification map of Jornada.  ...  MESMA fractional cover estimates for the green vegetation endmember were positively correlated with the normalized difference vegetation index (NDVI) with correlation coefficients (r) greater than 0.58  ...  Jerry Ritchie , former Research Soil Scientist at USDA-ARS and longterm contributor at Jornada, for his efforts to collect and organize the ground-based spectral data used in this study.  ... 
doi:10.1016/j.rse.2013.01.008 fatcat:6ua5ukbvbnd4jiwclr46ii44hq

Monitoring Post-Fire Recovery of Chaparral and Conifer Species Using Field Surveys and Landsat Time Series

Christopher L. Kibler, Anne-Marie L. Parkinson, Seth H. Peterson, Dar A. Roberts, Carla M. D'Antonio, Susan K. Meerdink, Stuart H. Sweeney
2019 Remote Sensing  
We combined field survey data with two time series remote sensing products: the relative delta normalized burn ratio (RdNBR) and green vegetation (GV) fractions derived from spectral mixture analysis.  ...  The GV fractions (r(78) = 0.552, p < 0.001) and normalized burn ratio (r(78) = 0.555, p < 0.001) had nearly identical correlations with ground reference data of green vegetation cover.  ...  Remote sensing is another method of monitoring land cover change, which provides broad spatial and temporal coverage.  ... 
doi:10.3390/rs11242963 fatcat:dmg54i2fafcjpfob65xt62czse

Review Article: Remote Sensing, Surface Residue Cover and Tillage Practice

Obade Vincent de Paul
2012 Journal of Environmental Protection  
This article reviews potential remote sensing approaches for estimating surface residue cover with a view to mapping tillage practice.  ...  However, developing reliable, cost effective and accurate methods for quantifying and monitoring crop residue cover (a major source of soil organic matter) that remains on top of the soil over large spatial  ...  However, several obstacles stand in the way of modeling spatial variation in residue cover using remote sensing.  ... 
doi:10.4236/jep.2012.32026 fatcat:vlskdkenlje2jg5y2v7ffpyima

Potential of Resolution-Enhanced Hyperspectral Data for Mineral Mapping Using Simulated EnMAP and Sentinel-2 Images

Naoto Yokoya, Jonathan Chan, Karl Segl
2016 Remote Sensing  
Quality assessments of the enhanced data are conducted using quantitative measures and continuum removal and both show that high spectral and spatial fidelity are maintained.  ...  However, a higher spatial resolution is preferable for many applications. This paper investigates the potential of fusion-based resolution enhancement of hyperspectral data for mineral mapping.  ...  Karl Segl prepared study data, provided useful suggestions, and revised the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs8030172 fatcat:75i74awd7vagvjkqvze6owl7lu

Computational Intelligence in Remote Sensing: An Editorial

Manuel Graña, Michal Wozniak, Sebastian Rios, Javier de de Lope
2020 Sensors  
In this editorial paper we provide the setting of the special issue "Computational Intelligence in Remote Sensing" and an overview of the published papers.  ...  Remote sensing data has been a salient field of application of computational intelligence algorithms, both for the exploitation of the data and for the research/development of new data analysis tools.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20030633 pmid:31979240 pmcid:PMC7038229 fatcat:inwh36whqffs5fy7i5hzrfzmb4

Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes

Federico Filipponi, Emiliana Valentini, Alessandra Nguyen Xuan, Carlos Guerra, Florian Wolf, Martin Andrzejak, Andrea Taramelli
2018 Remote Sensing  
The fraction of green vegetation cover (FCover) as estimated from satellite observations has already been demonstrated to be an extraordinarily useful product for understanding vegetation cover changes  ...  The presence and distribution of green vegetation cover in the biosphere are of paramount importance in investigating cause-effect phenomena at the land/atmosphere interface, estimating primary production  ...  To fulfill the need for the continuous monitoring of green cover over a wide range of temporal and spatial scales, satellite remote sensing (RS) represents a valuable source of information, especially  ... 
doi:10.3390/rs10040653 fatcat:6tkehsrnh5c5lhhizr2ie5hvrq

A Geographic Information-Assisted Temporal Mixture Analysis for Addressing the Issue of Endmember Class and Endmember Spectra Variability

Wenliang Li, Changshan Wu
2017 Sensors  
Furthermore, an ordinary kriging analysis was employed to generate a spatially varying endmember spectra at all pixels in the remote sensing image.  ...  As a consequence, a fully constrained temporal mixture analysis was conducted for examining the fractional land use land covers.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s17030624 pmid:28335464 pmcid:PMC5375910 fatcat:5kb2ph6udbfpbmepcibfia6czm

Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra

Philip E. Dennison, Yi Qi, Susan K. Meerdink, Raymond F. Kokaly, David R. Thompson, Craig S. T. Daughtry, Miguel Quemada, Dar A. Roberts, Paul D. Gader, Erin B. Wetherley, Izaya Numata, Keely L. Roth
2019 Remote Sensing  
Remotely sensed data can be used to model the fractional cover of green vegetation (GV), non-photosynthetic vegetation (NPV), and soil in natural and agricultural ecosystems.  ...  This work highlights the need for more extensive and diverse fine spatial scale measurements of fractional cover, to improve methodologies for estimating cover in preparation for future hyperspectral global  ...  US Government support acknowledged. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.  ... 
doi:10.3390/rs11182072 fatcat:cntkphujpbe6recazxevdhsbm4

A Random Forest-Based Approach to Map Soil Erosion Risk Distribution in Hickory Plantations in Western Zhejiang Province, China

Zhenlong Cheng, Dengsheng Lu, Guiying Li, Jianqin Huang, Nibedita Sinha, Junjun Zhi, Shaojin Li
2018 Remote Sensing  
It used the random forest approach to identify eight key variables—slope, slope of slope, normalized difference greenness index at leaf-on season, soil organic matter, fractional vegetation at leaf-on  ...  The objective of this research was to develop an approach that can effectively employ remotely-sensed and ancillary data, to map soil erosion risks in an agroforestry ecosystem in a mountainous region.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10121899 fatcat:qbm5uve2u5dujiapwvvkvqyo2y

Ecogeographically and Non-Ecogeographically Forecasting Discontinuous Canopied Simulium damnosum s.l. Habitats by Interpolating Metrizable Sub-Mixel Mean Solar Exoatmospheric Quantum Scalar Irradiance where θi is a Zenith Angle and Diatomically Etiolated Xanthophylls with Azimutually Isotropic Sources of Chloroplastic Carotenoid Zeaxanthins Spectrally Extracted from a Decomposed RapidEye™ Red Edge Normalized Difference Vegetation Index Reference Targeted Biosignature: A Case Study in Burkina Faso and Uganda

Benjamin G. Jacob, Robert J.Novak
2015 Journal of Remote Sensing & GIS  
High spatial resolution, 3-D, measurements of canopy vegetation LULC by remote sensing are advancing ecological research and environmental management.  ...  We interpolated a geospectrally decomposed 5 meter (m) RapidEye™,Red Edge, Normalized Difference Vegetation Index (NDVI), unmixed, endmember, biosignature of a georeferenced, larval habitat of Similium  ...  Jalil at the College of Public Health, University of South Florida who helped describe the remote variables.  ... 
doi:10.4172/2469-4134.1000152 fatcat:gpqnvnehhvfchajg3rx5i6hije

Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral Unmixing Analysis

Hua Sun, Guangping Qie, Guangxing Wang, Yifan Tan, Jiping Li, Yougui Peng, Zhonggang Ma, Chaoqin Luo
2015 Remote Sensing  
The results obtained using cross-validation showed that: (1) Compared to the methods without the vegetation information, adding the vegetation fraction increased the accuracy of mapping carbon density  ...  The vegetation fraction from LSUA was then added as an independent variable.  ...  Acknowledgments This study was supported by the research project "Shenzhen vegetation biomass and carbon modeling" (#8851) awarded by Shenzhen Xianhu Botanic Garden; Central South University of Forestry  ... 
doi:10.3390/rs71115114 fatcat:6obsnippg5cztf6bcf5qehrjvm

Mapping Minimum and Maximum Standard Deviation 3-Dimensionsional Slope Coefficients for Geo-spectrotemporally Iteratively Quantitatively Interpolating an End-member Proxy Signature of Cyanobacteria (Bluegreen Algae) for Eco-cartographically Delineating Cholera Risk in a Riverine Tributary Ecosystem in Ecuador

Sarita Panchang, Samuel Alao, Jacob GB, Ricardo Izurieta
2016 Journal of Remote Sensing & GIS  
The goal of this study was to demonstrate the utility of an interpolation technique which could be used alongside cholera case rate data to determine a predictive environmental signature for cholera risk  ...  cycle of copepods and blue-green algae which may harbor the bacteria at certain times.  ...  This study demonstrates the utility of an interpolation technique to develop an endmember signature for blue-green algae based on known cholera case rates, a novel usage of remote sensing in water-borne  ... 
doi:10.4172/2469-4134.1000180 fatcat:vfoyqxdbyrg7tkcqebjpvhltny

Integration of Ground and Multi-Resolution Satellite Data for Predicting the Water Balance of a Mediterranean Two-Layer Agro-Ecosystem

Piero Battista, Marta Chiesi, Bernardo Rapi, Maurizio Romani, Claudio Cantini, Alessio Giovannelli, Claudia Cocozza, Roberto Tognetti, Fabio Maselli
2016 Remote Sensing  
The proper characterization of this orchard requires the integration of remote sensing data with different spatial and temporal resolutions (i.e., MODIS, Landsat 8-OLI and Ikonos imagery).  ...  The relatively small size of this orchard (about 0.1 ha) and its two-layer structure (i.e., olive trees and grasses) require the integration of remotely sensed data with different spatial and temporal  ...  In summary, NDVI is used to estimate fractional vegetation cover (FVC), which indicates the quantity of green transpiring biomass sensitive to long-term water stress.  ... 
doi:10.3390/rs8090731 fatcat:jwsfpgtuzfdlljtz7lxwwq3uie

An Assessment of Urban Surface Energy Fluxes Using a Sub-Pixel Remote Sensing Analysis: A Case Study in Suzhou, China

Kai Liu, Jun-yong Fang, Dong Zhao, Xue Liu, Xiao-hong Zhang, Xiao Wang, Xue-ke Li
2016 ISPRS International Journal of Geo-Information  
This study aims to assess the contribution of LCTs, vegetation fractional coverage (VFC) and percentage of impervious surface area (ISA%) to urban surface energy fluxes using remote sensing.  ...  The vegetation-impervious surface-soil (VIS) model, which is among those models that are used to study the biophysical composition of urban environments with remote sensing spectral characteristics [23  ...  The authors also wish to thank the editors and the anonymous reviewers for their useful comments that improved the quality of the manuscript.  ... 
doi:10.3390/ijgi5020011 fatcat:p4t42ra3dfdptjumt4wosfn5n4
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