Article
Ecology
Burhan U. Choudhury, Rumi Narzari, Md. Zafar, Naseeb Singh, Vinay Kumar Mishra, Mathyam Prabhakar
Summary: This study conducted spectral characterization of 28 vegetable crops grown in the eastern Himalayan mountain ecosystem and developed a spectral crop library, which is crucial for promoting precision agriculture in this region and similar ecosystems.
ECOLOGICAL INFORMATICS
(2023)
Article
Remote Sensing
Yanfei Zhong, Xinyu Wang, Shaoyu Wang, Liangpei Zhang
Summary: This paper discusses the recent progress in Chinese spaceborne HRS, including typical satellite systems, data processing, and applications, as well as the future development trends of HRS in China.
GEO-SPATIAL INFORMATION SCIENCE
(2021)
Review
Environmental Sciences
Bowen Chen, Liqin Liu, Zhengxia Zou, Zhenwei Shi
Summary: This paper reviews representative methods for hyperspectral image target detection, and categorizes them into seven categories: hypothesis testing-based methods, spectral angle-based methods, signal decomposition-based methods, constrained energy minimization (CEM)-based methods, kernel-based methods, sparse representation-based methods, and deep learning-based methods. The basic principles, classical algorithms, advantages, limitations, and connections of these methods are comprehensively summarized, and critical comparisons are made on the summarized datasets and evaluation metrics. Furthermore, the future challenges and directions in the area are analyzed.
Article
Environmental Sciences
A. Boggia, L. Paolotti, G. Martino, L. Rocchi
Summary: This study compares the economic sustainability of poplar woodchip production under different durations and harvesting systems. The results show that a quinquennial harvesting system is the most advantageous.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Anatoly Mikhailovich Zeyliger, Olga Sergeevna Ermolaeva
Summary: The study developed a method using remote sensing and ground-based data to assess crop water stress, focusing on 19 irrigated alfalfa crops. It found a linear relationship between crop yield and water stress coefficient, indicating potential for evaluating effectiveness of irrigation practices.
Article
Geosciences, Multidisciplinary
Cheng Liu, Chengzhi Xing, Qihou Hu, Shanshan Wang, Shaohua Zhao, Meng Gao
Summary: This article reviews the recent advances in hyperspectral remote sensing techniques and discusses the future application prospects in air pollution monitoring. It recommends the use of a multi-means joint hyperspectral stereoscopic remote sensing monitoring mode for effective monitoring and regulation of air pollution.
EARTH-SCIENCE REVIEWS
(2022)
Review
Environmental Sciences
Alireza Sanaeifar, Ce Yang, Miguel de la Guardia, Wenkai Zhang, Xiaoli Li, Yong He
Summary: Recent advances and challenges in using proximal hyperspectral sensing for assessing plant abiotic stresses have been critically reviewed. This technique provides high-resolution images for studying plant physiology and monitoring spatio-temporal variations. The comprehensive review of 362 research papers shows the wide range of applications for detecting different types of abiotic stresses in plants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Energy & Fuels
Tasmin Hossain, Dniela S. Jones, Damon S. Hartley, David N. Thompson, Matthew Langholtz, Maggie Davis
Summary: This article emphasizes the importance of estimating the US potential of woody material for cost-effective supply logistics and sustainable bioenergy and bioproducts industry. It analyzes a mature conversion technology for woody resources and concludes that woody resources could address about 55% of EPA's target of 16 billion gallons of cellulosic biofuel.
Article
Environmental Sciences
Xiaohui Ding, Yong Li, Ji Yang, Huapeng Li, Lingjia Liu, Yangxiaoyue Liu, Ce Zhang
Summary: The PAR-ACaps, an adaptive capsule network, was proposed to address the gradient vanishing issue in hyperspectral remote sensing classification, achieving higher classification accuracy compared to benchmarks like RF, SVM, 1DCNN, CNN, 3DCNN, Caps, and ACaps with comparable network architectures.
Article
Environmental Sciences
Ian J. Marang, Patrick Filippi, Tim B. Weaver, Bradley J. Evans, Brett M. Whelan, Thomas F. A. Bishop, Mohammed O. F. Murad, Dhahi Al-Shammari, Guy Roth
Summary: The research utilizes hyperspectral imaging combined with machine learning to accurately assess cotton crop nitrogen status, showing great potential in predicting nitrogen concentration and evaluating different treatment blocks. The study results demonstrate the effectiveness of hyperspectral imaging in predicting crop nitrogen concentration, indicating its significant potential in precision agriculture applications.
Review
Agronomy
Yu Chen, Jian-Hua Zhang, Mo-Xian Chen, Fu-Yuan Zhu, Tao Song
Summary: This review highlights the importance of combining regulated deficit irrigation (RDI) with woody crops to improve water productivity. The analysis shows that reducing irrigation water by 20.0-30.0% has little impact on yield but increases water productivity by 10.0-30.0%. When irrigation water is reduced by 40.0-50.0%, the impact on yield varies depending on the species, but water productivity generally reaches its highest value. However, further reducing irrigation water significantly affects yield and may even decrease water productivity. Adjusting irrigation amounts during noncritical water demand periods minimizes the impact on yield and fruit size, enhancing water-saving effectiveness.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Environmental Sciences
Aleksa Lipovac, Atila Bezdan, Djordje Moravcevic, Nevenka Djurovic, Marija Cosic, Pavel Benka, Ruzica Stricevic
Summary: This study evaluated the feasibility of using UAV multispectral imagery for rapid monitoring, water stress detection, and yield prediction of common beans under different sowing and irrigation conditions. The results showed that NDVI and MCARI were effective in predicting bean yields under deficit irrigation, but remote sensing did not detect pest invasion, requiring field observations for accurate predictions.
Review
Environmental Sciences
Mbali Mahlayeye, Roshanak Darvishzadeh, Andrew Nelson
Summary: Cropping patterns are crucial for crop production and land-use intensity, but they are rarely reported in agricultural statistics. Remote sensing enables mapping of cropping patterns, but research on intercropping patterns is limited and the use of microwave remote sensing for intercropping mapping is not fully explored.
Article
Forestry
Paloma Perez, Ruth Barro, Javier Perez, Miguel J. Fernandez, Amelia Moyano, Pilar Ciria
Summary: Research shows that in marginal Mediterranean areas, poplar leaf litter decomposition is slow, accelerated by seasonal factors, providing abundant nutrients to the system and enhancing the profitability and sustainability of energy crops.
Article
Agronomy
Santa Celma, Marina Sanz, Pilar Ciria, Oksana Maliarenko, Oleh Prysiazhniuk, Mudrite Daugaviete, Dagnija Lazdina, Moritz von Cossel
Summary: This study assessed the performance of woody crops on marginal agricultural land in Latvia, Spain and Ukraine, finding that productivity can be increased with optimized management practices. However, longer rotations and lower biomass yields are expected when growing woody crops on similar marginal agricultural land compared to high-value land. Future research should investigate the extent to which woody crops can contribute to rural development under these conditions.