Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Pedometrics"'
Autor:
Beatriz Macêdo Medeiros, Letícia Sequinatto-Rossi, Alexandre ten Caten, Gustavo Eduardo Pereira, Elisângela Benedet da Silva, Kelly Tamires Urbano Daboit
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 48 (2024)
ABSTRACT Soil legacy data is past information on soils available from various sources (e.g. survey reports and maps). When compiled and organized, data obtained through historical retrieval can be used as basic input or validation data for digital so
Externí odkaz:
https://doaj.org/article/1864f65235bc4958a41b359ad6864401
Autor:
Phillip R. Owens, Marcelo Mancini, Edwin H. Winzeler, Quentin Read, Ning Sun, Joshua Blackstock, Zamir Libohova
Publikováno v:
Geoderma, Vol 447, Iss , Pp 116911- (2024)
Digital soil mapping (DSM) relies on machine-learning and geostatistics to represent soil property observations across space. DSM techniques are powerful but often empirical, being limited to the quality and density of point samples. Water dynamics a
Externí odkaz:
https://doaj.org/article/853419e5ff634f0babec25e1afea9fb1
Autor:
Shayan Kabiri, Sharon M. O’Rourke
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Introduction: Modeling and mapping of soil organic carbon concentration and distribution at the pedon scale is a current knowledge gap that can be addressed by laboratory-based hyperspectral imaging and chemometric analysis of soil cores. Despite the
Externí odkaz:
https://doaj.org/article/800f9bc704cb4cf3b29055682b37f32d
Autor:
Mei-Wei Zhang, Xiao-Lin Sun, Xiao-Qing Wang, Hua-Lei Yang, Hui-Li Wang, Zhi-Gang Huang, Dai-Hua Jiang, Yun-Jin Wu
Publikováno v:
Geoderma, Vol 445, Iss , Pp 116840- (2024)
Sampling density and depth play crucial roles in three-dimensional (3D) soil modeling and prediction, particularly in digital soil mapping (DSM). However, previous studies have yielded inconsistent and even contradictory results regarding impacts of
Externí odkaz:
https://doaj.org/article/72979903b9bf4306a22d5c3e6826a761
Autor:
Tom Broeg, Axel Don, Alexander Gocht, Thomas Scholten, Ruhollah Taghizadeh-Mehrjardi, Stefan Erasmi
Publikováno v:
Geoderma, Vol 444, Iss , Pp 116850- (2024)
National soil organic carbon (SOC) maps are essential to improve greenhouse gas accounting and support climate-smart agriculture. Large-scale SOC models based on wall-to-wall soil information from remote sensing remain a challenge due to the high div
Externí odkaz:
https://doaj.org/article/9acbab0486b0419c9ebd633d38117bc9
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1298 (2024)
Soil organic matter (SOM) and the ratio of soil organic carbon to total nitrogen (C/N ratio) are fundamental to the ecosystem services provided by soils. Therefore, understanding the spatial distribution and relationships between the SOM components m
Externí odkaz:
https://doaj.org/article/55ca7b4c3e284440ba6e59902d5bd77f
Autor:
Maria Eliza Turek, Laura Poggio, Niels H. Batjes, Robson André Armindo, Quirijn de Jong van Lier, Luis de Sousa, Gerard B.M. Heuvelink
Publikováno v:
International Soil and Water Conservation Research, Vol 11, Iss 2, Pp 225-239 (2023)
Present global maps of soil water retention (SWR) are mostly derived from pedotransfer functions (PTFs) applied to maps of other basic soil properties. As an alternative, ‘point-based’ mapping of soil water content can improve global soil data av
Externí odkaz:
https://doaj.org/article/17f54989f43642ef88b554413345603c
Publikováno v:
Geoderma, Vol 442, Iss , Pp 116762- (2024)
Soil properties that are considered difficult to measure are frequently determined through pedotransfer functions (PTFs). Calibration and validation datasets, containing measurements of the target soil property as well as widely available basic soil
Externí odkaz:
https://doaj.org/article/1306ccc3f1de4be99be33d77f82bdf1c
Autor:
Sharon Gomes Ribeiro, Marcio Regys Rabelo de Oliveira, Letícia Machado Lopes, Mirian Cristina Gomes Costa, Raul Shiso Toma, Isabel Cristina da Silva Araújo, Luis Clenio Jario Moreira, Adunias dos Santos Teixeira
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 47 (2023)
ABSTRACT Understanding organic carbon and predominant humic fractions in the soil allows contributes to soil quality management. Conventional fractionation techniques require time, excessive sampling, and high maintenance costs. In this study, predic
Externí odkaz:
https://doaj.org/article/68d54d74ba674e5b9c07fb263794fd72
