Educating the Next Generation of Remote Sensing Specialists: Skills and Industry Needs in a Changing World

Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions, on how to make the most out of the state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.

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Ocean Observer Study: A Proposed National Asset to Augment the Future U.S. Operational Satellite System

Marine Technology Society Journal ◽

10.4031/002533203787537302 ◽

2003 ◽

Vol 37 (3) ◽

pp. 142-157 ◽

Cited By ~ 2

Author(s):

John D. Cunningham ◽

Don Chambers ◽

Curtiss O. Davis ◽

Andrew Gerber ◽

Rosalind Helz ◽

...

Keyword(s):

Remote Sensing ◽

Department Of Defense ◽

Satellite System ◽

Next Generation ◽

Coastal Regions ◽

Observer Study ◽

Operational Oceanography ◽

Environmental Remote Sensing ◽

Integrated Program ◽

The U.S

The next generation of U.S. polar orbiting environmental satellites, are now under development. These satellites, jointly developed by the Department of Defense (DoD), the Department of Commerce (DOC), and the National Aeronautics and Space Administration (NASA), will be known as the National Polar-orbiting Operational Environmental Satellite System (NPOESS). It is expected that the first of these satellites will be launched in 2010. NPOESS has been designed to meet the operational needs of the U.S. civilian meteorological, environmental, climatic, and space environmental remote sensing programs, and the Global Military Space and Geophysical Environmental remote sensing programs. This system, however, did not meet all the needs of the user community interested in operational oceanography (particularly in coastal regions). Beginning in the fall of 2000, the Integrated Program Office (IPO), a joint DoD, DOC, and NASA office responsible for the NPOESS development, initiated the Ocean Observer Study (OOS). The purpose of this study was to assess and recommend how best to measure the missing or inadequately sampled ocean parameters. This paper summarizes the ocean measurement requirements documented in the OOS, describes the national need to measure these parameters, and describes the satellite instrumentation required to make those measurements.

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Next-generation pushbroom filter radiometers for remote sensing

10.1117/12.966853 ◽

2012 ◽

Cited By ~ 3

Author(s):

Richard W. Tarde ◽

Michael G. Dittman ◽

Geir E. Kvaran

Keyword(s):

Remote Sensing ◽

Next Generation

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Bridging the Gap Between Remote Sensing and Plant Phenotyping—Challenges and Opportunities for the Next Generation of Sustainable Agriculture

Frontiers in Plant Science ◽

10.3389/fpls.2021.749374 ◽

2021 ◽

Vol 12 ◽

Author(s):

Miriam Machwitz ◽

Roland Pieruschka ◽

Katja Berger ◽

Martin Schlerf ◽

Helge Aasen ◽

...

Keyword(s):

Remote Sensing ◽

Sustainable Agriculture ◽

Plant Phenotyping ◽

Next Generation ◽

Challenges And Opportunities

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Next generation phenotyping for developing climate resilient rice varieties

ORYZA- An International Journal on Rice ◽

10.35709/ory.2019.56.s.2 ◽

2019 ◽

Vol 56 (Special Issue) ◽

pp. 92-105

Author(s):

Rabi N Sahoo ◽

C Viswanathan ◽

Gopal Krishna ◽

Bappa Das ◽

Swati Goel ◽

...

Keyword(s):

Remote Sensing ◽

Water Deficit ◽

Multispectral Imaging ◽

Sugar Content ◽

Stress Index ◽

Water Deficit Stress ◽

Next Generation ◽

Crop Water Stress Index ◽

Non Invasive ◽

Rice Genotypes

Present paper deals with different components of next generation phenomics for characterizing rice genotypes for water deficit stress. Major sensors used in the study were non-imaging hyperspectal remote sensing, thermal imaging at ground platform and RGB and multispectral imaging sensors from drone platform. Different spectral indices were evaluated along with new proposed index and different multivariate models were studied for non-invasive estimation of relative water content (RWC) and sugar content in rice plant using spectral reflectance data collected in spectral range 350 to 2500 nm. Spectral data were further used for spectral discrimination of rice genotypes. Crop water stress index derived from thermal images acquired for rice genotypes could well characterize the drought resistant and sensitive genotypes. Initial study on field phenotyping through drone remote sensing using multispectral and RGB sensor was also explored to capture differential response of genotypes, trait and heat map mapping. All developed protocols as reliable alternative to conventional methods are fast, economic and non-invasive and in use in plant phenomics centre for high throughput plant phenotyhping for water deficit stress studies.

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