A global 1° by 1° NDVI data set for climate studies. Part 2: The generation of global fields of terrestrial biophysical parameters from the NDVI

Sellers, P. J.; Tucker, Compton J.; Collatz, G. J.; Los, S.O.; Justice, Christopher O.; Dazlich, D. A.; Randall, David A.

doi:10.1080/01431169408954343

Cited by 466 publications

(286 citation statements)

References 27 publications

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“…An empirical solution to the directional reflectance problem, resulting in the first globally available LAI and f PAR product as a monthly 1x1° dataset, was the FASIR (Fourier Adjusted, Solar zenith angle corrected, Interpolated and Reconstructed) approach of Sellers et al (1994) and Los et al (1994), based on data from the spaceborne Advanced Very High Resolution Radiometer (AVHRR) sensor .…”

Section: Empirical Determination Of Absorbed Parmentioning

confidence: 99%

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

255

187

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Section: Empirical Determination Of Absorbed Parmentioning

confidence: 99%

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

255

187

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“…The CASA model (Potter et al, 1993) was used to simulate the rangeland NPP in the study area. The parameters used were adopted from previous relevant research reports (Potter et al, 1993;Zhu et al, 2005;Sellers et al, 1994;Shao et al, 2009;Cui, 2004;Lu and Yu, 2004;Gong et al, 1993;Chen et al, 2001;Yang and Qiu, 2002;Running et al, 2000). The monthly NPP of growing season (May to September) was estimated according to the maximum monthly NDVI, and then was accumulated to obtain NPP value of the year.…”

Section: Npp Estimation By Casa Modelmentioning

confidence: 99%

Monitoring rangeland degradation using a novel local NPP scaling based scheme over the “Three-River Headwaters” region, hinterland of the Qinghai-Tibetan Plateau

Wang

Xia

et al. 2017

Quaternary International

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Abstract-the "Three-River Headwaters" region (TRHR) rangeland ecosystem is extremely sensitive and fragile, and in recent years has undergone continuous degradation. The vast area and severe nature conditions inhibit data acquisition and field experiments, resulting in different understandings about the spatial characteristics and dynamics of rangeland degradation in the region. Therefore, reliable monitoring method of rangeland degradation is urgently needed for the rangeland protection and management. In this paper, a novel rangeland degradation monitoring scheme based on Local NPP Scaling (LNS) was suggested;A suitable partition program of rangeland productivity unit was set up by using Analytical Hierarchy Process (

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“…Satellite remote sensing offers inputs such as land cover types and the Normalized Difference Vegetation Index (NDVI) (Deering, 1978;Tucker, 1979) This document is a U.S. government work and is not subject to copyright in the United States. (Dickinson et al, 1990;Sellers et al, 1994). Pioneering work (Asrar et al, 1992;Myneni et al, 1997;Running et al, 2000;Sellers, 1987) has shown the fraction of photosynthetically active radiation (PAR) absorbed by a canopy/vegetation (FPAR, i.e., fAPAR canopy ) can be approximated with NDVI (Running et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Estimation of crop gross primary production (GPP): II. Do scaled MODIS vegetation indices improve performance?

Zhang

Cheng

Lyapustin

et al. 2015

Agricultural and Forest Meteorology

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a b s t r a c tSatellite remote sensing estimates of gross primary production (GPP) have routinely been made using spectral vegetation indices (VIs) over the past two decades. The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), the green band Wide Dynamic Range Vegetation Index (WDRVI green ), and the green band Chlorophyll Index (CI green ) have been employed to estimate GPP under the assumption that GPP is proportional to the product of VI and photosynthetically active radiation (PAR) (where VI is one of four VIs: NDVI, EVI, WDRVI green , or CI green ). However, the empirical regressions between VI*PAR and GPP measured locally at flux towers do not pass through the origin (i.e., the zero X-Y value for regressions). Therefore they are somewhat difficult to interpret and apply. This study investigates (1) what are the scaling factors and offsets (i.e., regression slopes and intercepts) between the fraction of PAR absorbed by chlorophyll of a canopy (fAPAR chl ) and the VIs and (2) whether the scaled VIs developed in (1) can eliminate the deficiency and improve the accuracy of GPP estimates. Three AmeriFlux maize and soybean fields were selected for this study, two of which are irrigated and one is rainfed. The four VIs and fAPAR chl of the fields were computed with the MODerate resolution Imaging Spectroradiometer (MODIS) satellite images. The GPP estimation performance for the scaled VIs was compared to results obtained with the original VIs and evaluated with standard statistics: the coefficient of determination (R 2 ), the root mean square error (RMSE), and the coefficient of variation (CV). Overall, the scaled EVI obtained the best performance. The performance of the scaled NDVI, EVI and WDRVI green was improved across sites, crop types and soil/background wetness conditions. The scaled CI green did not improve results, compared to the original CI green . The scaled green band indices (WDRVI green , CI green ) did not exhibit superior performance to either the scaled EVI or NDVI in estimating crop daily GPP at these agricultural fields. The scaled VIs are more physiologically meaningful than original un-scaled VIs, but scaling factors and offsets may vary across crop types and surface conditions.

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A global 1° by 1° NDVI data set for climate studies. Part 2: The generation of global fields of terrestrial biophysical parameters from the NDVI

Cited by 466 publications

References 27 publications

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Monitoring rangeland degradation using a novel local NPP scaling based scheme over the “Three-River Headwaters” region, hinterland of the Qinghai-Tibetan Plateau

Estimation of crop gross primary production (GPP): II. Do scaled MODIS vegetation indices improve performance?

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