4.7 Article

Monitoring Rainfed Alfalfa Growth in Semiarid Agrosystems Using Sentinel-2 Imagery

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

Assessing Leaf Biomass of Agave sisalana Using Sentinel-2 Vegetation Indices

Ilja Vuorinne et al.

Summary: Biomass estimation is crucial for crop monitoring and carbon cycling assessments. This study successfully used Sentinel-2 multispectral satellite imagery to model leaf biomass of sisal, demonstrating the suitability of multispectral data for assessing biomass at plantation and block levels. The study also highlights the importance of spectral vegetation indices for biomass estimation.

REMOTE SENSING (2021)

Article Multidisciplinary Sciences

A unified vegetation index for quantifying the terrestrial biosphere

Gustau Camps-Valls et al.

Summary: This study generalized commonly used vegetation indices by exploiting higher-order relations between spectral channels, resulting in increased sensitivity to vegetation physiological and biophysical parameters. The nonlinear NDVI consistently improved accuracy in monitoring key parameters, suggesting potential for more precise measurements of terrestrial carbon dynamics.

SCIENCE ADVANCES (2021)

Article Agronomy

Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize

I. D. Tsakmakis et al.

Summary: The study explored the relationship between high-resolution NDVI data and on-site CC, using it for operational validation and improvement of crop growth models. Results showed that remotely acquired CC time series can be successfully used as an alternative means for validating CC simulations, while re-estimated parameters enhanced model performance in simulating CC, biomass, and yield. No significant differences were observed in soil water content simulation.

AGRICULTURAL WATER MANAGEMENT (2021)

Article Environmental Sciences

Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery

Esther Shupel Ibrahim et al.

Summary: This study used Sentinel-2A/B and SkySat data to map crop types in the Jos Plateau, Nigeria, showing maize as the dominant crop, followed by mixed cropping systems, and potato as the least prevalent class. Analyses of mixed crop classes were conducted, revealing regional variations in the distribution of crop types.

REMOTE SENSING (2021)

Article Remote Sensing

Optimization of multi-scale segmentation of satellite imagery using fractal geometry

Christos G. Karydas

INTERNATIONAL JOURNAL OF REMOTE SENSING (2020)

Article Environmental Sciences

The Potential of Sentinel-2 for Crop Production Estimation in a Smallholder Agroforestry Landscape, Burkina Faso

Martin Karlson et al.

FRONTIERS IN ENVIRONMENTAL SCIENCE (2020)

Article Chemistry, Analytical

Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)

Nieves Pasqualotto et al.

SENSORS (2019)

Article Remote Sensing

Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery

Qiaoyun Xie et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)

Article Environmental Sciences

Application of Sentinel-2A data for pasture biomass monitoring using a physically based radiative transfer model

S. M. Punalekar et al.

REMOTE SENSING OF ENVIRONMENT (2018)

Review Imaging Science & Photographic Technology

Contribution of Remote Sensing on Crop Models: A Review

Dimitrios A. Kasampalis et al.

JOURNAL OF IMAGING (2018)

Article Remote Sensing

Estimating fractional vegetation cover and the vegetation index of bare soil and highly dense vegetation with a physically based method

Wanjuan Song et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2017)

Article Environmental Sciences

Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop

Jan G. P. W. Clevers et al.

REMOTE SENSING (2017)

Article Multidisciplinary Sciences

Prediction of Potato Crop Yield Using Precision Agriculture Techniques

Khalid A. Al-Gaadi et al.

PLOS ONE (2016)

Article Engineering, Electrical & Electronic

Assessing Agricultural Water Productivity in Desert Farming System of Saudi Arabia

Virupakshagowda C. Patil et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)

Article Remote Sensing

Brown and green LAI mapping through spectral indices

Jesus Delegido et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)

Review Plant Sciences

Abiotic Stress Responses in Legumes: Strategies Used toCope with Environmental Challenges

Susana S. Araujo et al.

CRITICAL REVIEWS IN PLANT SCIENCES (2015)

Article Environmental Sciences

Identification of grassland management practices from leaf area index time series

Pauline Dusseux et al.

JOURNAL OF APPLIED REMOTE SENSING (2014)

Article Geography, Physical

Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation

William James Frampton et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)

Article Environmental Sciences

LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands

I. Herrmann et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Article Geography, Physical

A Comparative Analysis of Phenological Curves for Major Crops in Kansas

Iwake Masialeti et al.

GISCIENCE & REMOTE SENSING (2010)

Article Remote Sensing

MODIS-based remote sensing monitoring of grass production in China

B. Xu et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)

Article Environmental Sciences

Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data

M. C. Gonzalez-Sanpedro et al.

REMOTE SENSING OF ENVIRONMENT (2008)

Article Environmental Sciences

A spectral reflectance-based approach to quantification of grassland cover from Landsat TM imagery

Y Zha et al.

REMOTE SENSING OF ENVIRONMENT (2003)

Article Plant Sciences

Legumes: Importance and constraints to greater use

PH Graham et al.

PLANT PHYSIOLOGY (2003)

Article Environmental Sciences

Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance

CST Daughtry et al.

REMOTE SENSING OF ENVIRONMENT (2000)