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Predicting the Surface Soil Texture of Cultivated Land via Hyperspectral Remote Sensing and Machine Learning: A Case Study in Jianghuai Hilly Area

Applied Sciences, 2023
Soil reflectance spectra and hyperspectral images have great potential to monitor and evaluate soil texture in large-scale scenarios. In hilly areas, sand, clay, and silt have similar spectral characteristics in visible, near-infrared, and short-wave ...
Banglong Pan, Shutong Cai, Minle Zhao, Hongwei Cheng, Hanming Yu, Shuhua Du, Juan Du, Fazhi Xie   +7 more
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Analysis of Cadmium Contamination in Lettuce (Lactuca sativa L.) Using Visible-Near Infrared Reflectance Spectroscopy

Sensors, 2023
In order to rapidly and accurately monitor cadmium contamination in lettuce and understand the growth conditions of lettuce under cadmium pollution, lettuce is used as the test material.
Lina Zhou, Leijinyu Zhou, Hongbo Wu, Lijuan Kong, Jinsheng Li, Jianlei Qiao, Limei Chen   +6 more
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Cotton Blight Identification with Ground Framed Canopy Photo-Assisted Multispectral UAV Images

Agronomy, 2023
Cotton plays an essential role in global human life and economic development. However, diseases such as leaf blight pose a serious threat to cotton production.
Changwei Wang, Yongchong Chen, Zhipei Xiao, Xianming Zeng, Shihao Tang, Fei Lin, Luxiang Zhang, Xuelian Meng, Shaoqun Liu   +8 more
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Application of the Fourier Series Expansion Method for the Inversion of Gravity Gradients using Gravity Anomalies

Remote Sensing, 2022
Accurate and highly precise gravity gradient data are an important component of, for example, gravity field modeling, seabed topography inversion, and resource exploration. However, high-precision gravity gradient data are difficult to obtain. To address
Bei Liu, Shaofeng Bian, Bing Ji, Shuguang Wu, Pengfei Xian, Cheng Chen, Ruichen Zhang   +6 more
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Study on the Piecewise Inverse Model of Accumulated Temperature Based on Skewness-Distribution Parameters of Canopy Images in Pepper

Atmosphere, 2022
The crop leaf color is tightly connected with its meteorological environment. Color gradation skewness-distribution (CGSD) parameters can describe the information of leaf color more accurately, systematically, and comprehensively from five dimensions. We
Pei Zhang, Zhengyi Yao, Rong Wang, Jibo Zhang, Mingqian Zhang, Yifang Ren, Xiaoping Xie, Fuzheng Wang, Hongyan Wu, Haidong Jiang   +9 more
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Vegetation Coverage in the Desert Area of the Junggar Basin of Xinjiang, China, Based on Unmanned Aerial Vehicle Technology and Multisource Data

Remote Sensing, 2022
Vegetation coverage information is an important indicator of desert ecological environments. Accurately grasping vegetation coverage changes in desert areas can help in assessing the quality of ecosystems and maintaining their functions. Improving remote
Yuhao Miao, Renping Zhang, Jing Guo, Shuhua Yi, Baoping Meng, Jiaqing Liu   +5 more
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Model based perspective inversion [PDF]

Image and Vision Computing, 1988
Abstract The problem of finding the spatial correspondence between an object and the image of the object under perspective projection is investigated and a new technique is demonstrated. This technique is based on a geometrical description, or model, of the object and a least squares solution of the resulting nonlinear equations.
A. D. Worrall, K. D. Baker, G. D. Sullivan   +2 more
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Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China

Remote Sensing, 2022
Soil salinization is prominent environmental issue in arid and semi-arid regions, such as Xinjiang in Northwest China. Salinization severely restricts economic and agricultural development and would lead to ecosystem degradation.
Yu Wang, Modong Xie, Bifeng Hu, Qingsong Jiang, Zhou Shi, Yinfeng He, Jie Peng   +6 more
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Inverse melting and inverse freezing: A spin model [PDF]

Physical Review E, 2005
Systems of highly degenerate ordered or frozen state may exhibit inverse melting (reversible crystallization upon heating) or inverse freezing (reversible glass transition upon heating). This phenomena is reviewed, and a list of experimental demonstrations and theoretical models is presented.
Schupper, Nurith, Shnerb, Nadav M.
openaire   +3 more sources

Hyperspectral Inversion of Soil Carbon and Nutrient Contents in the Yellow River Delta Wetland

Diversity, 2022
Hyperspectral inversion techniques can facilitate soil quality monitoring and evaluation. In this study, the Yellow River Delta Wetland Nature Reserve was used as the study area.
Leichao Nie, Zhiguo Dou, Lijuan Cui, Xiying Tang, Xiajie Zhai, Xinsheng Zhao, Yinru Lei, Jing Li, Jinzhi Wang, Wei Li   +9 more
doaj   +1 more source