Journal ArticleDOI
Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3
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TLDR
Results confirm the importance of the red-edge bands on particularly Sentinel-2 for agricultural applications, because of the combination with its high spatial resolution of 20 m and linear estimators of canopy chlorophyll and N content.About:
This article is published in International Journal of Applied Earth Observation and Geoinformation.The article was published on 2013-08-01. It has received 490 citations till now. The article focuses on the topics: Spectral bands & Red edge.read more
Citations
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Journal ArticleDOI
Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images.
Tao Zhou,Tao Zhou,Yajun Geng,Cheng Ji,Xiangrui Xu,Hong Wang,Jianjun Pan,Jan Bumberger,Dagmar Haase,Angela Lausch +9 more
TL;DR: This study analyzed and compared the potential of satellite sensors with various spatial and temporal resolutions to predict SOC content and C:N ratio in Switzerland and revealed that remote sensing variables were the best predictors for soil prediction models.
Journal ArticleDOI
Current and near-term advances in Earth observation for ecological applications
TL;DR: In this article, the authors present a review of 48 instruments and 13 platforms with multiple instruments that either collected data in the 2000s, were recently launched, or are planned for launch in this decade.
Journal ArticleDOI
Object-based time-constrained dynamic time warping classification of crops using Sentinel-2
TL;DR: The proposed workflow is the first implementation of DTW in an object-based image analysis (OBIA) environment and represents a promising step towards generating fast, accurate, and ready-to-use agricultural data products.
Posted Content
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents
TL;DR: Findings of this study can conclude that PROSPECT-PRO has a high potential in establishing the carbon-to-nitrogen ratio based on the retrieved CBC- to-proteins ratio.
Journal ArticleDOI
Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia
TL;DR: In this paper, water quality parameters of chlorophyll a concentration, nitrate concentration, and water turbidity were used to estimate the water quality in the dam lake of Wadi Baysh, Saudi Arabia.
References
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Journal ArticleDOI
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
Daniel A. Sims,John A. Gamon +1 more
TL;DR: Developing spectral indices for prediction of leaf pigment content that are relatively insensitive to species and leaf structure variation and thus could be applied in larger scale remote-sensing studies without extensive calibration are developed.
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Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
Matthias Drusch,U. Del Bello,S. Carlier,O. Colin,V. Fernandez,F. Gascon,Bianca Hoersch,Claudia Isola,P. Laberinti,P. Martimort,Aime Meygret,Francois Spoto,O. Sy,Franco Marchese,Pier Bargellini +14 more
TL;DR: An overview of the GMES Sentinel-2 mission including a technical system concept overview, image quality, Level 1 data processing and operational applications is provided.
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Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
TL;DR: In this paper, a wide range of leaf chlorophyll levels were established in field-grown corn (Zea mays L.) with the application of 8 N levels: 0, 12.5%, 25, 50, 75, 100, 125, and 150% of the recommended rate.
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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Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
D. Haboudane,John R. Miller,John R. Miller,Nicolas Tremblay,Pablo J. Zarco-Tejada,Louise Dextraze +5 more
TL;DR: In this paper, a combined modeling and indices-based approach is presented to predict the crop chlorophyll content from remote sensing data while minimizing LAI (vegetation parameter) influence and underlying soil background effects.