Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

L Gao, X Wang, BA Johnson, Q Tian, Y Wang… - ISPRS Journal of …, 2020 - Elsevier
Green fractional vegetation cover (fc) is an important phenotypic factor in the fields of
agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation …

Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data

LS Pereira, P Paredes, F Melton, L Johnson… - Agricultural Water …, 2020 - Elsevier
The current study aims at reviewing and providing advances on methods for estimating and
applying crop coefficients from observations of ground cover and vegetation height. The …

[HTML][HTML] Using NDVI for the assessment of canopy cover in agricultural crops within modelling research

TR Tenreiro, M García-Vila, JA Gómez… - … and Electronics in …, 2021 - Elsevier
The fraction of green canopy cover (CC) is an important feature commonly used to
characterize crop growth and for calibration of crop and hydrological models. It is well …

Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal

R Fernandez-Beltran, T Baidar, J Kang, F Pla - Remote Sensing, 2021 - mdpi.com
Crop yield estimation is a major issue of crop monitoring which remains particularly
challenging in developing countries due to the problem of timely and adequate data …

Complementary use of ground-based proximal sensing and airborne/spaceborne remote sensing techniques in precision agriculture: A systematic review

A Alexopoulos, K Koutras, SB Ali, S Puccio, A Carella… - Agronomy, 2023 - mdpi.com
As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …

Improving the estimation of fractional vegetation cover from UAV RGB imagery by colour unmixing

G Yan, L Li, A Coy, X Mu, S Chen, D Xie… - ISPRS Journal of …, 2019 - Elsevier
Remote sensing via unmanned aerial vehicles (UAVs) is becoming a very important tool for
augmenting traditional spaceborne and airborne remote sensing techniques. Commercial …

[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications

J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

Exploring influence factors in mapping soil organic carbon on low-relief agricultural lands using time series of remote sensing data

L Guo, P Fu, T Shi, Y Chen, C Zeng, H Zhang… - Soil and Tillage …, 2021 - Elsevier
Soil organic carbon (SOC) content is of critical importance in managing agricultural fields
and understanding carbon fluxes at various scales. At regional and global scales, digital …

UAV-based partially sampling system for rapid NDVI mapping in the evaluation of rice nitrogen use efficiency

R Jiang, A Sanchez-Azofeifa, K Laakso, P Wang… - Journal of cleaner …, 2021 - Elsevier
Rapid acquisition and mapping of normalized difference vegetation index (NDVI) values is
essential for a timely evaluation of nitrogen use efficiency (NUE) in sustainable agriculture …

S3ANet: Spectral-spatial-scale attention network for end-to-end precise crop classification based on UAV-borne H2 imagery

X Hu, X Wang, Y Zhong, L Zhang - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
High spatial and spectral resolution (H 2) imagery collected by unmanned aerial vehicle
(UAV) systems is an important data source for precise crop classification. Although this data …