Results 1 to 10 of about 24,634 (305)
Mapping of Soil pH Based on SVM-RFE Feature Selection Algorithm
Agronomy, 2022 The explicit mapping of spatial soil pH is beneficial to evaluate the effects of land-use changes in soil quality. Digital soil mapping methods based on machine learning have been considered one effective way to predict the spatial distribution of soil ...
Jia Guo, Ku Wang, Shaofei Jin
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Recent progress and future prospect of digital soil mapping: A review
Journal of Integrative Agriculture, 2017 To deal with the global and regional issues including food security, climate change, land degradation, biodiversity loss, water resource management, and ecosystem health, detailed accurate spatial soil information is urgently needed.
Gan-lin ZHANG, Feng LIU, Xiao-dong SONG
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Digital Soil Mapping with Limited Data [PDF]
, 2008 There has been considerable expansion in the use of digital soil mapping technologies and development of methodologies that improve digital soil mapping at all scales and levels of resolution. These developments have occurred in all parts of the world in the past few years and also in countries where it was previously absent.
Hartemink, A.E. +2 more
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Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information
Remote Sensing, 2023 Readily available environmental covariates in current digital soil mapping usually do not indicate the spatial differences between deep soil attributes.
Zheng Sun +4 more
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Using deep learning for Digital Soil Mapping [PDF]
SOIL, 2018 Abstract. Digital soil mapping has been widely used as a cost-effective method for generating soil maps. However, current DSM data representation rarely incorporates contextual information of the landscape. DSM models are usually calibrated using point observations intersected with spatially corresponding point covariates.
José Padarian +2 more
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The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping
Remote Sensing, 2020 The soil spectral dynamic feedback captured from high temporal resolution remote sensing data, such as MODIS, during the soil drying process after a rainfall could assist with digital soil mapping.
Canying Zeng, Lin Yang, A-Xing Zhu
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THE SCALE PROBLEM IN MODERN SOIL MAPPING
Бюллетень Почвенного института им. В.В. Докучаева, 2019 One of the features of the transition from traditional soil cartography to digital technologies for compiling and using soil maps is a qualitative change in both the concept of “map” and the concept of “map scale”.
I. Yu. Savin
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Soil legacy data: An opportunity for digital soil mapping [PDF]
Revista Brasileira de Ciência do SoloSoil 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 soil mapping. A
Beatriz Macêdo Medeiros +5 more
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GeodermaThis study presents a regional digital soil mapping (DSM) product that used a locally enhanced method in support of a bottom-up approach to create spatial soil predictions that were more accurate than one of the most accurate and detailed conventional ...
Meyer P. Bohn, Bradley A. Miller
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Maria Glazovskaya—A Pioneer Soil Scientist and Geochemist Ahead of her Time (1912–2016)
Spanish Journal of Soil Science, 2022 In the USSR and in Russia, women predominated among soil scientists despite the problems related to field research in tundra, taiga, mountains and other severe environments.
Maria Gerasimova, Maria Gerasimova
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