Results 21 to 30 of about 410,348 (314)

Investigating the effect of Gotvand Dam on changes in soil salinity and vegetation cover of downstream lands of the dam using satellite imagery and spectral indices [PDF]

علوم محیطی, 2021
Introduction: One of the most important factors that play a major role in reducing soil fertility and agricultural land degradation is soil salinization. Soil salinity problem is more severe in agricultural lands of arid and semi-arid regions.
Morteza Sharif, Saeid Hamzeh
doaj   +1 more source

Evaluation of Sentinel-2 vegetation indices for prediction of LAI, fAPAR and fCover of winter wheat in Bulgaria

European Journal of Remote Sensing, 2021
The red-edge bands of Sentinel-2 allow for a greater diversity of spectral Vegetation Indices (VIs) to be calculated and used for vegetation characterization.
Ilina Kamenova, Petar Dimitrov
doaj   +1 more source

Recovery of monoclinic phase of VO2 nanoparticles from oxidized samples: Assessment of reusability and optimization of re-annealing conditions [PDF]

Quy Nhon University Journal of Science
Vanadium dioxide (VO2) nanoparticles in the monoclinic (M) phase exhibit a reversible metal–insulator transition (MIT) at ~68 °C, underpinning thermochromic applications such as smart windows and thermal sensors.
Ho Nguyen Hong Tham, Nguyen Thi Thanh Nhan, Nguyen Thi Tuong Vy, Le Phuong Thao, Le Thi My Nhi, Hoang Thi Hang, Le Thi Ngoc Loan   +6 more
doaj   +1 more source

Sifat Fisik, Amilograf, dan Morfologi Pati Biji Lai (Durio kutejensis) Asetilasi Menggunakan Asetat Anhidrat

Agritech, 2020
Lai (Durio kutejensis) seed starches have a high retrogradation ability and low paste stability so that its function in food industry is less widespread.
Siti Masithah Fiqtinovri, Ashri Mukti Benita, Djagal Wiseso Marseno, Yudi Pranoto   +3 more
doaj   +1 more source

Predicting model and detecting factors causing rainfall using deep learning [PDF]

Quy Nhon University Journal of Science
This study aims to employ deep learning algorithms to construct predictive models using real-world datasets containing indicators of rainfall. The objective is to determine the occurrence of rainfall at a specific point in time and to analyze
Ho Van Lam, Hoang Thanh Minh, Le Thi Phuong Thao   +2 more
doaj   +1 more source

Optical instruments for measuring leaf area index in low vegetation : application in Arctic ecosystems [PDF]

, 2005
Author Posting. © Ecological Society of America, 2005. This article is posted here by permission of Ecological Society of America for personal use, not for redistribution.
Williams, Mathew, Wijk, M.T., van, van Wijk, Mark T., van Wijk, M.T., Williams, M., Williams, Mathew; id_orcid   +5 more
core   +1 more source

Joint Retrieval of Growing Season Corn Canopy LAI and Leaf Chlorophyll Content by Fusing Sentinel-2 and MODIS Images

Remote Sensing, 2019
Continuous and accurate estimates of crop canopy leaf area index (LAI) and chlorophyll content are of great importance for crop growth monitoring. These estimates can be useful for precision agricultural management and agricultural planning.
Wei Su, Zhongping Sun, Wen-hua Chen, Xiaodong Zhang, Chan Yao, Jiayu Wu, Jianxi Huang, Dehai Zhu   +7 more
doaj   +1 more source

Spatially and Temporally Continuous Leaf Area Index Mapping for Crops through Assimilation of Multi-resolution Satellite Data

Remote Sensing, 2019
As a key parameter that represents the structural characteristics and biophysical changes of crop canopy, the leaf area index (LAI) plays a significant role in monitoring crop growth and mapping yield.
Huaan Jin, Weixing Xu, Ainong Li, Xinyao Xie, Zhengjian Zhang, Haoming Xia   +5 more
doaj   +1 more source

Generating High Resolution LAI Based on a Modified FSDAF Model

Remote Sensing, 2020
Leaf area index (LAI) is an important parameter for monitoring the physical and biological processes of vegetation canopy. Due to the constraints of cloud contamination, snowfall, and instrument conditions, most of the current satellite remote sensing ...
Huan Zhai, Fang Huang, Hang Qi
doaj   +1 more source

Protocol for measuring weak cellular traction forces using well-controlled ultra-soft polyacrylamide gels

STAR Protocols, 2022
Summary: Traction force microscopy (TFM) is a popular technique for studying cellular stresses; however, the reproducible fabrication of ultrasoft substrates for the reliable detection of weak cellular stresses (below 100 Pa) remains a challenge.
Farah Mustapha, Kheya Sengupta, Pierre-Henri Puech   +2 more
doaj   +1 more source