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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Satellite data track spatial and temporal declines in European beech forest canopy characteristics associated with intense drought events in the Rhön Biosphere Reserve, central Germany
TL;DR: In this article , three satellite series (MODIS, Landsat and Sentinel-2) were used to observe changes in canopy health during the intense droughts of 2003 and 2018 in the Rhön Biosphere Reserve, central Germany.
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Estimation of Relative Chlorophyll Content in Spring Wheat Based on Multi-Temporal UAV Remote Sensing
TL;DR: In this article , the estimation of relative chlorophyll content (SPAD) in spring wheat was conducted at the experimental base in Wuyuan County, Inner Mongolia in 2021.
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Coastal tourism: impact for built-up area growth and correlation to vegetation and water indices derived from sentinel-2 remote sensing imagery
I Nyoman Sunarta,Moh Saifulloh +1 more
TL;DR: In this paper , the authors analyzed the spatial pattern of built-up land through the transformation of the NDBI and correlate it with the vegetation index (NDVI, SAVI) and the water index(NDWI).
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Estimating fractional coverage of crop, crop residue, and bare soil using shortwave infrared angle index and Sentinel-2 MSI
TL;DR: In this article, a shortwave infrared angle (SWIRA) index was proposed to estimate and produce multi-temporal maps of f c, f cr, and f bs using broadband Sentinel-2 MSI images.
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.
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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.