Journal ArticleDOI
Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission
Isabella Mariotto,Isabella Mariotto,Prasad S. Thenkabail,Alfredo Huete,E. Terrence Slonecker,Alexander Platonov +5 more
TLDR
In this paper, the authors compared hyperspectral narrowband (HNB) versus multispectral broadband (MBB) reflectance data in studying irrigated cropland characteristics of five leading world crops (cotton, wheat, maize, rice, and alfalfa) with the objectives of: 1) modeling crop productivity, and 2) discriminating crop types.About:
This article is published in Remote Sensing of Environment.The article was published on 2013-12-01. It has received 145 citations till now.read more
Citations
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Journal ArticleDOI
Remote sensing for agricultural applications: A meta-review
TL;DR: In this paper, the authors present the agronomical variables and plant traits that can be estimated by remote sensing, and describe the empirical and deterministic approaches to retrieve them, and provide a synthesis of the emerging opportunities that should strengthen the role of remote sensing in providing operational, efficient and long-term services for agricultural applications.
Journal ArticleDOI
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review
Jochem Verrelst,Gustau Camps-Valls,Jordi Muñoz-Marí,Juan Pablo Rivera,Frank Veroustraete,Jan G. P. W. Clevers,Jose Moreno +6 more
TL;DR: A review of state-of-the-art retrieval methods for quantitative terrestrial bio-geophysical variable extraction using optical remote sensing imagery and the prospects of implementing these methods into future processing chains for operational retrieval of vegetation properties are presented and discussed.
Journal ArticleDOI
Soybean yield prediction from UAV using multimodal data fusion and deep learning
Maitiniyazi Maimaitijiang,Vasit Sagan,Paheding Sidike,Paheding Sidike,Sean Hartling,Flavio Esposito,Felix B. Fritschi +6 more
TL;DR: It is indicated that multimodal data fusion using low-cost UAV within a DNN framework can provide a relatively accurate and robust estimation of crop yield, and deliver valuable insight for high-throughput phenotyping and crop field management with high spatial precision.
Journal ArticleDOI
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
TL;DR: This review is intended to assist agricultural researchers and practitioners to better understand the strengths and limitations of hyperspectral imaging to agricultural applications and promote the adoption of this valuable technology.
Journal ArticleDOI
Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods
Jochem Verrelst,Z. Malenovsky,Z. Malenovsky,Christiaan van der Tol,Gustau Camps-Valls,Jean-Philippe Gastellu-Etchegorry,Philip Lewis,Philip Lewis,Peter North,Jose Moreno +9 more
TL;DR: In this article, a review of state-of-the-art retrieval methods that have been applied in experimental imaging spectroscopy studies inferring all kinds of vegetation biophysical variables is presented.
References
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Journal ArticleDOI
LIII. On lines and planes of closest fit to systems of points in space
TL;DR: This paper is concerned with the construction of planes of closest fit to systems of points in space and the relationships between these planes and the planes themselves.
Monitoring Vegetation Systems in the Great Plains with Erts
TL;DR: In this paper, a method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 spectral bands 5 and 7, corrected for sun angle, which is shown to be correlated with aboveground green biomass on rangelands.
BookDOI
Assessing the accuracy of remotely sensed data : principles and practices
Russell G. Congalton,Kass Green +1 more
TL;DR: This chapter discusses Accuracy Assessment, which examines the impact of sample design on cost, statistical Validity, and measuring Variability in the context of data collection and analysis.
Journal ArticleDOI
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
TL;DR: Spectral reflectance of maple, chestnut, wild vine and beech leaves in a wide range of pigment content and composition was investigated and it was shown that reciprocal reflectance (R lambda)-1 in the spectral range lambda related closely to the total chlorophyll content in leaves of all species.
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