Zobrazeno 1 - 10
of 192
pro vyhledávání: '"Gerard B M, Heuvelink"'
Autor:
Die Zhang, Yong Ge, Jianghao Wang, Haiyan Liu, Wen-Bin Zhang, Xilin Wu, Gerard B. M. Heuvelink, Chaoyang Wu, Juan Yang, Nick W. Ruktanonchai, Sarchil H. Qader, Corrine W. Ruktanonchai, Eimear Cleary, Yongcheng Yao, Jian Liu, Chibuzor C. Nnanatu, Amy Wesolowski, Derek A.T. Cummings, Andrew J. Tatem, Shengjie Lai
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103949- (2024)
Timely and precise detection of emerging infections is imperative for effective outbreak management and disease control. Human mobility significantly influences the spatial transmission dynamics of infectious diseases. Spatial sampling, integrating t
Externí odkaz:
https://doaj.org/article/6d33caa6925e4831ad26ced7493634d0
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-16 (2024)
Abstract For restoring soil health and mitigating climate change, information of soil organic matter is needed across space, depth and time. Here we developed a statistical modelling platform in three-dimensional space and time as a new paradigm for
Externí odkaz:
https://doaj.org/article/8a09d7080ba246e49f488d831960d6c7
Autor:
Hugo Rodrigues, Marcos B. Ceddia, Gustavo M. Vasques, Vera L. Mulder, Gerard B. M. Heuvelink, Ronaldo P. Oliveira, Ziany N. Brandão, João P. S. Morais, Matheus L. Neves, Sílvio R. L. Tavares
Publikováno v:
AgriEngineering, Vol 5, Iss 4, Pp 2326-2348 (2023)
The precision agriculture scientific field employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impacts. Therefore, obtaining a high number of soil samples to make precision agriculture feasi
Externí odkaz:
https://doaj.org/article/d8ca4a63acf349449f8df6722978b353
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 5, Pp 1320-1332 (2023)
Abstract Global, continental and regional maps of concentrations, stocks and fluxes of natural resources provide baseline data to assess how ecosystems respond to human disturbance and global warming. They are also used as input to numerous modelling
Externí odkaz:
https://doaj.org/article/3e1a5a25b1f24c1382f1d07a4031d21d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1025-1037 (2021)
The surface soil moisture (SSM) products derived from microwave remote sensing have a coarse spatial resolution; therefore, downscaling is required to obtain accurate SSM at high spatial resolution. An effective way to handle the stratified heterogen
Externí odkaz:
https://doaj.org/article/ae0848b1dea74bbab9b7bab2d3be1303
Autor:
Tijn L. Van Orsouw, Vera L. Mulder, Jeroen M. Schoorl, Gera J. Van Os, Everhard A. Van Essen, Karin H. J. Pepers, Gerard B. M. Heuvelink
Publikováno v:
Agronomy, Vol 12, Iss 7, p 1669 (2022)
Soil compaction is a severe threat to agricultural productivity, as it can lead to yield losses ranging from 5% to 40%. Quantification of the state of compaction can help farmers and land managers to determine the optimal management to avoid these lo
Externí odkaz:
https://doaj.org/article/bf306e6b523f47fb96bf678c5b45c493
Autor:
Anders Bjørn Møller, Vera Leatitia Mulder, Gerard B. M. Heuvelink, Niels Mark Jacobsen, Mogens Humlekrog Greve
Publikováno v:
Agronomy, Vol 11, Iss 4, p 703 (2021)
It is vital for farmers to know if their land is suitable for the crops that they plan to grow. An increasing number of studies have used machine learning models based on land use data as an efficient means for mapping land suitability. This approach
Externí odkaz:
https://doaj.org/article/702e117f9c4c4ed0bc5ca669b2be1b54
Publikováno v:
Remote Sensing, Vol 7, Iss 9, Pp 11372-11388 (2015)
Validation of satellite-based soil moisture products is necessary to provide users with an assessment of their accuracy and reliability and to ensure quality of information. A key step in the validation process is to upscale point-scale, ground-based
Externí odkaz:
https://doaj.org/article/49229c59e3a746609165af1c083f4f0f