Estimation of cotton leaf area index (LAI) based on spectral transformation and vegetation index

Y Ma, Q Zhang, X Yi, L Ma, L Zhang, C Huang… - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicles (UAV) has been increasingly applied to crop growth monitoring
due to their advantages, such as their rapid and repetitive capture ability, high resolution …

[HTML][HTML] The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring

S Khabbazan, SC Steele-Dunne, P Vermunt… - Remote Sensing of …, 2022 - Elsevier
The presence of surface water on the canopy affects radar backscatter. However, its
influence on the relationship between radar backscatter and crop biophysical parameters …

Monitoring and zoning soybean maturity using UAV remote sensing

W Shi, Y Li, W Zhang, C Yu, C Zhao, J Qiu - Industrial Crops and Products, 2024 - Elsevier
Timely and accurate determination of the maturity status during the soybean harvest period
is crucial for devising strategic harvesting plans, significantly enhancing the intelligent …

Co-inversion of island leaf area index combination morphological and spectral parameters based on UAV multi-source remote sensing data

J Wu, P Chen, S Fu, Q Chen, X Pan - Ecological Informatics, 2023 - Elsevier
The precise and rapid estimation of leaf area index (LAI) is crucial for quantitative ecological
monitoring and assessment, as it serves as an important ecological indicator of plant growth …

[HTML][HTML] Analyzing Temporal Characteristics of Winter Catch Crops Using Sentinel-1 Time Series

S Selvaraj, D Bargiel, A Htitiou, H Gerighausen - Remote Sensing, 2024 - mdpi.com
Catch crops are intermediate crops sown between two main crop cycles. Their adoption into
the cropping system has increased considerably in the last years due to its numerous …

[HTML][HTML] Retrieval of purification ability of urban forest to SO2 stress based on the coupling of radiative transfer and AO-DELM models

A Han, Y Bao, Z Tong, X Liu, S Qing, Y Bao… - International Journal of …, 2024 - Elsevier
Currently, hyperspectral remote sensing technology used for vegetation monitoring mainly
uses empirical and semi-empirical statistical methods to calculate heavy metal content …

Monitoring of Paddy and Maize Fields Using Sentinel-1 SAR Data and NGB Images: A Case Study in Papua, Indonesia

SMA Letsoin, RC Purwestri, MC Perdana, P Hnizdil… - Processes, 2023 - mdpi.com
This study addresses the question of how to evaluate the growth stage of food crops, for
instance, paddy (Oryza sativa) and maize (Zea mays), from two different sensors in selected …

Does Sentinel-1A backscatter capture the spatial variability in canopy gaps of tropical agroforests? A proof-of-concept in cocoa landscapes in Cameroon

FN Numbisi, F Van Coillie - Remote Sensing, 2020 - mdpi.com
A reliable estimation and monitoring of tree canopy cover or shade distribution is essential
for a sustainable cocoa production via agroforestry systems. Remote sensing (RS) data offer …

Integrating Sentinel-1 data and machine learning for effective paddy field monitoring in Cauvery Delta Zone, Tamil Nadu, India

J Niraimathi, S Saravanan - Environmental Monitoring and Assessment, 2025 - Springer
Paddy crop mapping is essential for agricultural monitoring, ensuring food security, and
enhancing resource allocation. This study observes the Cauvery Delta Zone (CDZ) …

Condition assessment of pearl millet/bajra crop in different vigour zones using radar vegetation index

S Selvaraj, D Haldar, HS Srivastava - Spatial Information Research, 2021 - Springer
The study was focused on assessing the condition of pearl millet crop in critical growth
stages using both polarimetric Radarsat-2 and dual-polarized Sentinel-1 datasets. The …