Zobrazeno 1 - 10
of 8 179
pro vyhledávání: '"sampling design"'
Remote Prediction of Soybean Yield Using UAV-Based Hyperspectral Imaging and Machine Learning Models
Autor:
Adilson Berveglieri, Nilton Nobuhiro Imai, Fernanda Sayuri Yoshino Watanabe, Antonio Maria Garcia Tommaselli, Glória Maria Padovani Ederli, Fábio Fernandes de Araújo, Gelci Carlos Lupatini, Eija Honkavaara
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 3242-3260 (2024)
Early soybean yield estimation has become a fundamental tool for market policy and food security. Considering a heterogeneous crop, this study investigates the spatial and spectral variability in soybean canopy reflectance to achieve grain yield esti
Externí odkaz:
https://doaj.org/article/70737f057af6443fb3cc5494211ae0bd
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTThe current land cover (LC) mapping paradigm relies on automatic satellite imagery classification, predominantly through supervised methods, which depend on training data to calibrate classification algorithms. Hence, training data have a cri
Externí odkaz:
https://doaj.org/article/a647b71059e346e79587bd0959aca73d
Autor:
Shu-Fei Wu
Publikováno v:
Symmetry, Vol 16, Iss 9, p 1132 (2024)
In many manufacturing industries, the lifetime performance index CL is utilized to assess the manufacturing process performance for products following some lifetime distributions and subjecting them to progressive type I interval censoring. This pape
Externí odkaz:
https://doaj.org/article/a86975e10a60472c86a5cb636d785744
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2968 (2024)
Reducing the lag in the accuracy assessment of multi-temporal land-cover products has been a hot research topic. By identifying the changed strata, the annual accuracy in multi-temporal products can be quickly evaluated. However, there are still two
Externí odkaz:
https://doaj.org/article/9e2c7e41bed946179fb36799cfafc1d1
Autor:
X.C. John Zhang, P.R. Busteed
Publikováno v:
Geoderma, Vol 444, Iss , Pp 116863- (2024)
Random spatial variation of the 137Cs inventory is the principal contributor to uncertainty in soil erosion estimation using 137Cs technology. A statistically sound sampling design is imperative for obtaining reliable soil erosion estimations. The ob
Externí odkaz:
https://doaj.org/article/4c6ad0f040614300b5a0961cab43c759
Autor:
Rachel R. Renne, Daniel R. Schlaepfer, Kyle A. Palmquist, William K. Lauenroth, John B. Bradford
Publikováno v:
Ecosphere, Vol 15, Iss 3, Pp n/a-n/a (2024)
Abstract Simulation models are valuable tools for estimating ecosystem response to environmental conditions and are particularly relevant for investigating climate change impacts. However, because of high computational requirements, models are often
Externí odkaz:
https://doaj.org/article/79459c3767434f4bb04e51c818041ec4
Autor:
Scott Leorna, Todd Brinkman
Publikováno v:
Conservation Science and Practice, Vol 6, Iss 3, Pp n/a-n/a (2024)
Abstract Camera traps (CT) have been used to study a wide diversity of wildlife around the world. However, despite their widespread use, standardized protocols are lacking, potentially leading to reduced efficiency and inhibiting study comparisons, g
Externí odkaz:
https://doaj.org/article/c70330228792464daf2bfba86b048de6
Akademický článek
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Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 4, Pp 1396-1412 (2023)
The chlorine and total trihalomethane (TTHM) concentrations are sparsely measured in the trunk network of Bogotá, Colombia, which leads to a high uncertainty level at an operational level. For this reason, this research assessed the prediction accur
Externí odkaz:
https://doaj.org/article/760e23d3a002468e9cd903c992dcc7e6