IEEE Geoscience and Remote Sensing Magazine - December 2020 - 122

programming at a wide array of government agencies and
-nongovernmental organizations. She serves as a primary
partner of the National Park Service Stewardship Institute,
an entity charged with using research and evaluation to enhance the agency's parks and programs. She coedited Qualitative Inquiry in Evaluation: From Theory to Practice, published
by Jossey-Bass in 2014.
Molly E. Brown (mbrown52@umd.edu) received her
B.S. degree in biology and environmental studies from
Tufts University, Medford, Massachusetts, in 1991 and her
M.A. and Ph.D. degrees in geography from the University
of Maryland, College Park, in 1998 and 2002, respectively. She is currently a research scientist at the University of
Maryland after working for 15 years at the NASA Goddard
Space Flight Center in Greenbelt, Maryland. She spent three
years in West Africa in the U.S. Peace Corps. Her current research interests include vegetation monitoring in semiarid
regions, interdisciplinary research that joins socioeconomic and remotely sensed biophysical data, and improving
systems that use vegetation indices to give early warning of
agricultural production, food insecurity, and disease outbreak in low-income countries.
Vanessa M. Escobar (vanessa.escobar@noaa.gov) received her B.S. degree in geology and chemistry from Sonoma State University, Rohnert Park, California, in 2000
and her M.S. degree in geology and water management
policy from Arizona State University, Tempe, in 2009. She
is currently working as the lead scientist for NASA and
the National Oceanic and Atmospheric Administration
GEO-XO. User Requirements group at Science Systems
and Applications (SSAI). Her work is dedicated to connecting scientific data and models and translating discussions across scientific and political boundaries in the
fields of hydrology, remote sensing, public health, and
water management.
REFERENCES
[1]	 J. P. Tarpley, S. R. Schneider, and R. L. Money, " Global vegetation indexes from the NOAA-7 meteorological satellite, "
J. Clim. Appl. Meteorol., vol. 23, no. 3, pp. 491-494, 1984. doi:
10.1175/1520-0450(1984)023<0491:GVIFTN>2.0.CO;2.
[2]	 S. M. Say, M. Keskin, M. Sehri, and Y. E. Sekerli, " Adoption of
precision agriculture technologies in developed and developing
countries, " Online J. Sci. Technol., vol. 8, no. 1, pp. 7-15, 2018.
[3]	 BISResearch. " Smart farming: The future of agriculture technology. " Marketresearch.com. https://blog.marketresearch.com/
smart-farming-the-future-of-agriculture-technology (accessed
Oct. 6, 2020).
[4]	 J. W. Jones et al., " Brief history of agricultural systems modeling, " Agric. Syst., vol. 155, pp. 240-254, July 2017. doi: 10.1016/
j.agsy.2016.05.014.
[5]	 F. Affholder, C. Poeydebat, M. Corbeels, E. Scopel, and P. Tittonell, " The yield gap of major food crops in family agriculture
in the tropics: Assessment and analysis through field surveys
and modelling, " Field Crops Res., vol. 143, pp. 106-118, Mar.
2013. doi: 10.1016/j.fcr.2012.10.021.

122

[6]	 M. Wójtowicz, A. Wójtowicz, and J. Piekarczyk, " Application
of remote sensing methods in agriculture, " Commun. Biometry
Crop Sci., vol. 11, no. 1, pp. 31-50, 2016.
[7]	 C. Atzberger, " Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and
major information needs, " Remote Sens. J., vol. 5, no. 2, pp.
949-981, 2013. doi: 10.3390/rs5020949.
[8]	 J. de Leeuw et al., " The potential and uptake of remote sensing in insurance: A review, " Remote Sens. J., vol. 6, no. 11, pp.
10,888-10,912, 2014. doi: 10.3390/rs61110888.
[9]	 C. B. Barrett, E. B. Barbier, and T. Reardon, " Agroindustrialization, globalization, and international development: The environmental implications, " Environ. Dev. Econ., vol. 6, no. 4, pp.
419-433, 2001. doi: 10.1017/S1355770X01000249.
[10]	 M. Sheahan, C. B. Barrett, and C. Goldvale, " Human health and
pesticide use in Sub-Saharan Africa, " Agric. Econ., vol. 48, no.
S1, pp. 27-41, 2017. doi: 10.1111/agec.12384.
[11]	 J. Jewiss, M. Brown, and V. Escobar, " Use of remote sensing
observations by commercial agriculture for decision making, "
NASA Harvest, College Park, Maryland, 2019. [Online]. Available: https://nasaharvest.org/publications
[12]	 M. S. Rasmussen, " Developing simple, operational, consistent
NDVI-vegetation models by applying environmental and climatic information: Part I. Assessment of net primary production, " Int. J. Remote Sens., vol. 19, no. 1, pp. 97-117, 1998. doi:
10.1080/014311698216459.
[13]	 B. Furuholt and E. Matotay, " The developmental contribution from mobile phones across the agricultural value chain
in rural Africa, " Electron. J. Inf. Syst. Developing Countries,
vol. 48, no. 1, pp. 1-16, 2011. doi: 10.1002/j.1681-4835.2011.
tb00343.x.
[14]	 J. Hatfield and J. Prueger, " Value of using different vegetative
indices to quantify agricultural crop characteristics at different growth stages under varying management practices, "
Remote Sens. J., vol. 2, no. 2, pp. 562-578, 2010. doi: 10.3390/
rs2020562.
[15]	 L. Goldman, M. Tsan, R. D. C. Colina, S. Daga, and V. Woolworth, " Inflection Point: Unlocking growth in the era of farmer
finance, " Global Impact Investing Network, New York, 2016.
[Online]. Available: https://thegiin.org/research/publication/
inf lection-point-unlocking-growth-in-the-era-of-farmer
-finance
[16]	 R. O. Mejeha, A. E. Bassey, and I. O. Obasi, " Influence of loan
repayment of farmer beneficiaries with the Bank of Agriculture
(BOA) in Akwa Ibom State, Nigeria, " Nigeria Agric. J., vol. 49,
no. 2, pp. 252-257, 2018.
[17]	 S. Fritz, R. J. Scholes, M. Obersteiner, J. Bouma, and B. Reyers,
" A conceptual framework for assessing the benefits of a global
earth observation system of systems, " IEEE Syst. J., vol. 2, no. 3,
pp. 338-348, 2008. doi: 10.1109/JSYST.2008.926688.
[18]	 C. Zhang and J. M. Kovacs, " The application of small unmanned aerial systems for precision agriculture: A review, "
Precis. Agric., vol. 13, no. 6, pp. 693-712, 2012. doi: 10.1007/
s11119-012-9274-5.
(continued on p. 133)
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

DECEMBER 2020

https://www.nasaharvest.org/publications https://thegiin.org/research/publication/inflection-point-unlocking-growth-in-the-era-of-farmer-finance https://thegiin.org/research/publication/inflection-point-unlocking-growth-in-the-era-of-farmer-finance https://thegiin.org/research/publication/inflection-point-unlocking-growth-in-the-era-of-farmer-finance http://www.Marketresearch.com https://blog.marketresearch.com/smart-farming-the-future-of-agriculture-technology https://blog.marketresearch.com/smart-farming-the-future-of-agriculture-technology

IEEE Geoscience and Remote Sensing Magazine - December 2020

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - December 2020